i-manager Publications

i-manager's Journal on Mechanical Engineering (JME)

Current Issue Vol. 14 Issue 2

Mechanization and Import Substitution in Zimbabwean Farmers' Equipment: A Case Study of the Revitalization of an Abandoned Tractor Trailer
Drill String Vibrational Analysis and Parametric Optimization for a Portable Water Well Rig Development
An Efficient Deep Neural Network with Amplifying Sine Unit for Nonlinear Oscillatory Systems
The Occupational Directness of Nanorobots in Medical Surgeries
Recent Trends in Solar Thermal Cooling Technologies

Most Cited

Volume 10 Issue 1 November - January 2020

Research Paper

Effects of Parameters on Sourface Roughness and Material Removal in EDM of High Chromium Steel-D7

Palwinder Singh* , Lakhvir Singh**

*-** Department of Mechanical Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India.

Singh, P., and Singh, L. (2020). Effects of Parameters on Sourface Roughness and Material Removal in EDM of High Chromium Steel-D7. i-manager's Journal on Mechanical Engineering, 10(1), 1-12. https://doi.org/10.26634/jme.10.1.16576

Abstract

Electrical Discharge Machining (EDM) is one of unconventional processes utilized for machining the electrical conductive materials which cannot be processed by conventional processes. Thus, the study and analysis of EDM variables play an important role to improve the yield and safety of a surface. This research work focuses on the study and analyzes the influence of current, pulse on time T_(on) and pulse off time T_(off) by keeping other parameters constant on Surface Roughness (SR) and Material Removal Rate (MRR). In the present study, machining of high chromium steel-D7 using EDM was experimented with industrial/commercial electrodes of copper material for EDM of high chromium steel-D7. The Central Composite Design (CCD) of Response Surface Methodology (RSM) has been employed for designing the experiments. Scanning Electron Microscopy (SEM) was used. This paper reports the experimentally investigated results during EDM of high chromium steel-D7 with tool material copper electrode. The influence of EDM input variable parameters on SR and MRR were analyzed through different graphs. The Analysis of Variance (ANOVA) were employed to carry out the experiments, identify the significant parameters and optimize the input parameters for both the responses. The optimum parametric combination for smaller SR was found at current 4 A, T_on15 µs, and T_off15 µs and higher MRR was found at current 10 A, T_on 20 µs and T_off 10 µs with copper tool electrode. The surface characteristics on of the machined surface were analyzed by SEM and explained in the paper.

References

[1]. Babu, V., Soni, J. S., & Rao, M. L. (2016). Analysis and evaluation of heat affected zones (HAZ) of the workpiece surface machined using different electrode by Die-sinking EDM of EN-31 die steel. The International Journal of Engineering and Science (IJES), 5(3), 37-42.

[2]. Han, F., & Kunieda, M. (2004). Development of parallel spark electrical discharge machining. Precision Engineering, 28(1), 65-72. https://doi.org/10.1016/S0141- 6359(03)00076-X

[3]. Jeykrishnan, J., Ramnath, B. V., Elanchezhian, C., & Akilesh, S. (2017). Parametric analysis on Electro-chemical machining of SKD-12 tool steel. Materials Today: Proceedings, 4(2), 3760-3766. https://doi.org/10.1016/j. matpr.2017.02.272

[4]. Kansal, H. K., Singh, S., & Kumar, P. (2006). An experimental study of the machining parameters in powder mixed electric discharge machining of Al–10% SiCP metal matrix composites. International Journal of Machining and Machinability of Materials, 1(4), 396-411. https://doi.org/10.1504/IJMMM.2006.012349

[5]. Kiran, K., Reddy, G., Prasad, A., & Rajendra, R. (2014). Study of surface integrity characteristics on Al and die steel components using copper tool in sink EDM process. International Journal of Current Engineering and Technology, Special Issue-2, 236-241.

[6]. Kumar, S., & Choudhury, S. K. (2007). Prediction of wear and surface roughness in electro-discharge diamond grinding. Journal of Materials Processing Technology, 191(1-3), 206-209. https://doi.org/10.1016/j.jmatprotec. 2007.03.032

[7]. Lee, H. T., & Tai, T. Y. (2003). Relationship between EDM parameters and surface crack formation. Journal of Materials Processing Technology, 142(3), 676-683. https://doi.org/10.1016/S0924-0136(03)00688-5

[8]. Lee, S. H., & Li, X. P. (2001). Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide. Journal of Materials Processing Technology, 115(3), 344- 358. https://doi.org/10.1016/S0924-0136(01)00992-X

[9]. Li, J., Liu, X., & Zhao, S. (2014). Prediction model of recast layer thickness in die-sinking EDM process on Ti-6Al- 4V machining through response surface methodology coupled with least squares support vector machine. Computer Modelling & New Technologies, 18(7), 398-405.

[10]. Liu, Y. H., Ji, R. J., Li, X. P., Yu, L. L., Zhang, H. F., & Li, Q. Y. (2008). Effect of machining fluid on the process performance of electric discharge milling of insulating Al2O3ceramic. International Journal of Machine Tools and Manufacture, 48(9),1030-1035. https://doi.org/10.1016/ j.ijmachtools.2007.12.011

[11]. Ming, Q. Y., & He, L. Y. (1995). Powder-suspension dielectric fluid for EDM. Journal of Materials Processing Technology, 52(1), 44-54. https://doi.org/10.1016/0924- 036(94)01442-4

[12]. Mohan, B., Rajadurai, A., & Satyanarayana, K. G. (2002). Effect of SiC and rotation of electrode on electric discharge machining of Al–SiC composite. Journal of Materials Processing Technology, 124(3), 297-304. https://doi.org/10.1016/S0924-0136(02)00202-9

[13]. Mohri, N., Saito, N., Higashi, M., & Kinoshita, N. (1991). A new process of finish machining on free surface by EDM methods. CIRP Annals, 40(1), 207-210. https://doi.org/ 10.1016/S0007-8506(07)61969-6

[14]. Montgomery, D.C. (2012). Design and Analysis of Experiments. John Wiley & Sons.

[15]. Morankar, K. S., & Shelke, R. D. (2017). Optimization of electrical discharge machining process parameters using SCM420 low alloy steel by response surface methodology. IOSR Journal of Mechanical and Civil Engineering, 14(1), 75-79. https://doi.org/10.9790/1684-1401047579

[16]. Narumiya, H., Mohri, N., Saito, N., Otake, H., Tsnekawa, Y., Takawashi, T., Kobayashi, K. (1989). EDM by powder suspended working fluid. In Proceedings of 9th ISEM (pp. 5-8).

[17]. Pandey, P. C., & Shan, H. S. (2004). Modern Machining Processes. Tata McGraw-Hill Education.

[18]. Pham, D. T., Dimov, S. S., Bigot, S., Ivanov, A., & Popov, K. (2004). Micro-EDM—recent developments and research issues. Journal of Materials Processing Technology, 149(1-3), 50-57. https ://doi.org/10.1016/ j. j m atprotec.2004.02.008

[19]. Pradhan, M. K. (2010). Experimental Investigation and Modelling of Surface Integrity, Accuracy and Productivity Aspects in EDM of AISI D2 Steel (Doctoral Dissertation), National Institute of Technology, Rourkela, India.

[20]. Puertas, I., Luis, C. J., & Alvarez, L. (2004). Analysis of the influence of EDM parameters on surface quality, MRR and EW of WC–Co. Journal of Materials Processing Technology, 153, 1026-1032. https://doi.org/10.1016/j.jm atprotec.2004.04.346

[21]. Rajendran, S., Marimuthu, K., & Sakthivel, M. (2013). Study of crack formation and resolidified layer in EDM process on T90Mn W50Cr45 tool steel. Materials and 2 Manufacturing Processes, 28(6), 664-669. https://doi.org/ 10.1080/10426914.2012.727120

[22]. Rajesha, S., Jawalkar, C. S., Mishra, R. R., Sharma, A. K., & Kumar, P. (2014). Study of recast layers and surface roughness on Al-7075 metal matrix composite during EDM machining. International Journal of Recent Advances in Mechanical Engineering, 3(1), 53-62.

[23]. Rebelo, J. C., Dias, A. M., Mesquita, R., Vassalo, P., & Santos, M. (2000). An experimental study on electrodischarge machining and polishing of high strength copper–beryllium alloys. Journal of Materials Processing Technology, 103(3), 389-397. https://doi.org/ 10.1016/ S0924-0136(99)00492-6

[24]. Rizvi, S. A. H., & Agarwal, S. (2016). An investigation on surface integrity in EDM process with a copper tungsten electrode. In 18th Conference on Electro Physical and Chemical Machining, 42, 612-617. https://doi.org/10.1016/j.procir.2016.02.254

[25]. Saha, S. K., & Choudhury, S. K. (2009). Experimental investigation and empirical modeling of the dry electric discharge machining process. International Journal Machine Tools & Manufacture, 49(3-4), 297-308. https://doi.org/10.1016/j.ijmachtools.2008.10.012

[26]. Shabgard, M., Seyedzavvar, M., & Oliaei, S. N. B. (2011). Influence of input parameters on the characteristics of the EDM process. Journal of Mechanical Engineering, 57(9), 689-696.

[27]. Shather, S. K., & Noori, D. A. K. (2014). Influence of intervening variables on surface roughness and material removal rate during WEDM process. Engineering and Technology Journal, 32 (5-Part (A) Engineering), 1141-1148.

[28]. Shather, S. K., Aghdeab, S. H., & Khudhier, W. S. (2019, May). Enhancement the thermal effects produce by EDM using hybrid machining. In IOP Conference Series: Materials Science and Engineering (Vol. 518, No. 3, pp. 032016). IOP Publishing. https://doi.org/10.1088/1757- 899X/518/3/032016

[29]. Tsai, K. M., & Wang, P. J. (2001). Semi-empirical model of surface finish on electrical discharge machining. International Journal of Machine Tools and Manufacture, 41(10), 1455-1477. https://doi.org/10.1016/0924- 0136(94)01442-4

[30]. Wang, P. J., & Tsai, K. M. (2001). Semi-empirical model on work removal and tool wear in electrical discharge machining. Journal of Materials Processing Technology, 114(1),1-17. https://doi.org/10.1016/S0924-0136(01) 00733-6

[31]. Zeng, Y. F., & Chen, F. C. (2003). A simple approach for robust design of high-speed electrical-discharge machining technology. International Journal of Machine Tools and Manufacture, 43(3), 217-227. https://doi.org/ 10.1016/S0890-6955(02)00261-4

Full Article (HTML)

Pdf

Research Paper

Evaluation of Metallographic Properties for Welding of AISI 1040 Steel

Saurabh Gandhe* , V. S. Aher, V. D. Wakchaure*

*-*** Department of Mechanical Engineering, Amrutrahini College of Engineering, Maharashtra, India.

Gandhe, S., Aher, V. S., and Wakchaure, V. D. (2020). Evaluation of Metallographic Properties for Welding of AISI 1040 Steel. i-manager's Journal on Mechanical Engineering, 10(1), 13-20. https://doi.org/10.26634/jme.10.1.16668

Abstract

Welding process is one of the important processes in the joining of steel metals. Weld ability of steel is the main factor to use it for various applications. In a previous work by this author, optimization of process parameters for AISI 1040 steel VIZ weld current, arc voltage and wire feed rate for attaining the tensile strength was carried out. Same optimized parameters are used to prepare welding samples with throat thickness of 5 mm. Samples are prepared and tested for micro hardness test and microstructure test in order to check the quality of welded joint and more validation in addition with the tensile test. All the results of hardness and microstructure test are discussed in this paper.

References

[1]. Bharadwaj, R., Gaur, M. K., Agrawal, S., & Chaturvedi, V. (2018). Simultaneous optimization of multiple performance characteristics in MIG welding for machining AISI-304 stainless steel by weighted principle component analysis. Journal of Experimental & Applied Mechanics, 9(3), 77-85.

[2]. Cawley, P. (2001). Non-destructive testing-current capabilities and future directions. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 215(4), 213-223. https://doi.org/ 10.1177%2F146442070121500403

[3]. Dwivedi, S. K., Vishwakarma, M., & Soni, A. (2018). Advances and researches on non destructive testing: A review. Materials Today: Proceedings, 5(2), 3690-3698. https://doi.org/ 10.1016/j .matpr.2017.11.620

[4]. Gandhe, E. S., Aher, V. S., & Wakchaure, V. D. (2019a). Analysis & FEA simulation for effect of throat thickness on MIG welded joint strength. International Journal of Research and Scientific Innovation (IJRSI), 6(9), 39-44.

[5]. Gandhe, E. S., Aher, V. S., & Wakchaure, (2019b). Parametric optimization of mig welding process to improve its tensile strength. EPRA International Journal of Research and Development (IJRD), 4(9), 75-82

[6]. Ghosh, N., Pal, P. K., & Nandi, G. (2016). Parametric optimization of gas metal arc welding process by PCAbased Taguchi method on ferritic stainless steel AISI409. Materials Today: Proceedings, 4(9), 9961-9966. https://doi. org/10.1016/j.matpr.2017.06.302

[7]. Ghosh, N., Pal, P. K., & Nandi, G. (2017). GMAW dissimilar welding of AISI 409 ferritic stainless steel to AISI 316L austenitic stainless steel by using AISI 308 filler wire. Engineering Science and Technology, an International Journal, 20(4),1334-1341. https://doi.org/10.1016 /j.jestch. 2017.08.002

[8]. Hardness Test of Welds (2006). Hardness of Welds Retrieved from https://fdocuments.in/document/hardness -test-of-welds.html

[9]. Hooda, A., Dhingra, A., & Sharma, S. (2012). Optimization of MIG welding process parameters to predict maximum yield strength in AISI 1040. International Journal of Mechanical Engineering and Robotics Research (IJMERR), 1(3), 203-213.

[10]. Kalita, D., & Barua, P. B. (2015). Taguchi optimization of MIG welding parameters affecting tensile strength of C20 welds. International Journal of Engineering Trends and Technology, 26, 43-49.

[11]. Kanakavalli, P. B., Babu, B. N., & Sai, C. P. V. (2019). A hybrid methodology for optimizing MIG welding process parameters in joining of dissimilar metals. Materials Today: Proceedings (pp.1-6). https://doi.org10.1016/j.matpr.2019 05. 396

[12]. Kodgire, V. D., & Kodgire, S. V. (2011). Material Science & Metallurgy for Engineers (30th Ed.). Everest Publishing House.

[13]. Kumar, S., & Mahto, D. G. (2013). Recent trends in industrial and other engineering applications of non destructive testing: A review. International Journal of Scientific & Engineering Research, 4(9), 183-195.

[14]. Meena, S. L., Butola, R., Murtaza, Q., Jayantilal, H., & Niranjan, M. S. (2017). Metallurgical investigations of microstructure and micro hardness across the various zones in synergic MIG welding of stainless steel. Materials Today: Proceedings, 4(8), 8240-8249. https://doi.org/ 10.1016/j.matpr.2017.07.166

[15]. Microscopes, Drawing Appliances, and Measurement. (n.d). Retrieved from http://www .biologydiscussion.com/botany/practicals-botany/micros copes-drawing-appliances-and-measure ment/57063.

[16]. Naik, A. B., & Reddy, A. C. (2018). Optimization of tensile strength in TIG welding using the Taguchi method and Analysis of Variance (ANOVA). Thermal Science and Engineering Progress, 8, 327-339. https://doi.org/10.1016/ j.tsep.2018.08.005

[17]. Pavani, P., Sivasankar, P., Lokanadham, P., & Mhahesh, P. U. (2015). Finite element analysis of residual stress in butt welding of two similar plates. International Research Journal of Engineering and Technology, 2(7), 479-486.

[18]. Rao, P. S., Gupta, O. P., Murty, S. S. N., & Rao, A. K. (2009). Effect of process parameters and mathematical model for the prediction of bead geometry in pulsed GMA welding. The International Journal of Advanced Manufacturing Technology, 45(5-6), 496-505. https://doi. org/10.1007/s00170-009-1991-1

[19]. Sen, R., Choudhury, S. P., Kumar, R., & Panda, A. (2018). A comprehensive review on the feasibility study of metal inert Gas Welding. Materials Today: Proceeding, 5(9), 17792-17801. https://doi.org/10.1016/j.matpr.2018.0 6.104

[20]. Shveyov, A., Shveyov, I., Kazantsev, R., Shveyova, E., & Shveyova, T. (2017). The study of hardness of welded joints of parts in the automotive industry. International Journal of Applied Engineering Research, 12(6), 912-917.

[21]. Sivaraman, A., & Paulraj, S. (2017). Multi-response optimization of process parameters for MIG welding of AA2219-T87 by Taguchi Grey relational analysis. Materials Today: Proceedings, 4(8), 8892-8900. https://doi.org/ 10.1016/j.matpr.2017.07.240

[22].TGN-PE-01-Hardness Testing of Welds. (n.d.). Retrieved from https://wtia.com.au/wp-content/upl oads/2015/02/TGN-PE-01-Hardness-testing-of-Welds.pdf.

[23]. Zhou, M. (2019). Effect of laser-MIG hybrid welding on microstructure and properties of seismic steel plate for buildings. Results in Physics, 12, 840-845. https://doi.org/10 .1016/j.rinp.2018.12.054

Full Article (HTML)

Pdf

Research Paper

Navier–Stokes Computations on Type-IVr Shock-Shock Interaction mechanism over Double Wedge (15-60) at High Speed Flows

Sravan Kumar Kota* , Sameer Ahamed Shaik**

*-** Samhams Technologies, Nellore, Andhra Pradesh, India.

Kota, S. K., and Shaik, S. A. (2020). Navier–Stokes Computations on Type-IVr Shock-Shock Interaction mechanism over Double Wedge (15-60) at High Speed Flows. i-manager's Journal on Mechanical Engineering, 10(1), 21-31. https://doi.org/10.26634/jme.10.1.16708

Abstract

In this paper, the new concept of shock/shock and shock/boundary layer interactions at hypersonic flow, i.e Type IVr Interaction has been analyzed. The investigation is restricted to stream at Mach 9 around a two-fold wedge chose to produce an interaction of type IVr that does not fit into Edney's (I-VI) order. It is generally known that the interaction of type IV is associated with very high local loads in pressure and heat transfer. The numerical goals of the Navier Stokes conditions permit the forecast of the structure of stream fields like shear layer, expansion fan, slip line, adverse pressure gradient, and separation bubble. The numerical method used is based upon a finite-volume formulation defined on a structured mesh, and analysis is carried out through linear and non-Linear Eddy Viscous Methods. Unlike other interactions held by Edney, the Type-IVr is completely contradicting the flow phenomena obtained during and after the interaction region. Interaction took place in the first wedge itself and the Supersonic Jet will continue three fourth along with the second wedge. The flow will be transonic exactly at the wedge. Specific accentuation is given to the commitment of Reynolds number on the topological qualities and dynamic structure of the stream field. A comparative analysis of the contours and vectors of Mach number, Skin friction, and pressure co-efficient is shown. The results acquired and indicated that the flow field is exceptionally delicate to disturbance impacts.

References

[1]. Babinsky, H., & Harvey, J. K. (2011). Shock Wave Boundary-Layer Interactions (1st Ed.). Cambridge University Press.

[2]. Bertin, J. J. (1994). Hypersonic Aerothermodynamics. AIAA.

[3]. Bertin, J. J., & Cummings, R. M. (2014). Aerodynamics for Engineers (6th Ed.). Pearson Publications.

[4]. Brenner, G., Gerhold, T., Hannemann, K., & Rues, D. (1993). Numerical simulation of shock/shock and shockwave/ boundary-layer interactions in hypersonic flows. Computers & Fluids, 22(4-5), 427-439. https://doi.org/ 10.1016/0045-7930(93)90017-4

[5]. Durna, A. S., Barada, M. E. H. A., & Celik, B. (2016). Shock interaction mechanisms on a double wedge at Mach 7. Physics of Fluids, 28(9), 1-17. https://doi.org/10.1 063/ 1.4961571

[6]. Edney, B. (1968a). Anomalous Heat Transfer and Pressure Distributions on Blunt Bodies at Hypersonic Speeds in the Presence of an Impinging Shock (No. FFA--115). Flygtekniska Forsoksanstalten, Stockholm (Sweden).

[7]. Edney, B. E. (1968b). Effects of shock impingement on the heat transfer around blunt bodies. AIAA Journal, 6(1), 15-21. https://doi.org/10.2514/3.4435

[8]. Kota, S. K., & Shahid, M. (2019). Linear and non-linear turbulence models of shock/boundary-layer interaction at hypersonic flows. International Journal of Scientific Research in Physics and Applied Sciences, 7(5), 16-25.

[9]. Kota, S., & Subbaraju, P. V. (2019). Computational Analysis of shockwave–boundary layer interaction at hypersonic speeds. International Journal of Computer Aided Manufacturing, 5(2), 1-25.

[10]. Olejniczak, J., Wright, M. J., & Candler, G. V. (1997). Numerical study of inviscid shock interactions on doublewedge geometries. Journal of Fluid Mechanics, 352, 1-25. https://doi.org/10.1017/S0022112097007131

[11]. Tchuen, G., & Burtschell, Y. (2011). Physico-chemical modelling in nonequilibrium hypersonic flow around blunt bodies. In Muler, M. (Eds.), Aeronautics and Astronautics (pp 125-168). Londan: IntechOpen.

[12]. Tchuen, G., Burtschell, Y., & Zeitoun, D. E. (2011). Numerical study of the interaction of type IVr around a double-wedge in hypersonic flow. Computers & Fluids, 50(1),147-154. https://doi.org/10.1016/j.compfluid.2011. 07.002

[13]. Wang, D. K., & Hong, Y. J. (2011). Numerical investigation of type IV Shock interaction and its active control. Applied Mechanics and Materials, 138(139), 770- 774. https://doi.org/10.4028/www.scientific.net/ AMM.138- 139.770

Full Article (HTML)

Pdf

Research Paper

Mechanical Properties of Hybrid Fiber Reinforced Epoxy Composites

R. Srinivasan * , Thirugnanam S.**

*-** Department of Mechanical Engineering, SRM Valliammai Engineering College, Chennai, Tamil Nadu, India.

Srinivasan, R., and Thirugnanam. S. (2020). Mechanical Properties of Hybrid Fiber Reinforced Epoxy Composites. i-manager's Journal on Mechanical Engineering, 10(1), 32-40. https://doi.org/10.26634/jme.10.1.16744

Abstract

Natural fibers possess vital benefits, such as low density, required stiffness, high disposability, and renewability. Additionally, they are recyclable and biodegradable. Banana fiber is, a natural fiber, obtained from the pseudo-stem of banana plant. Banana fiber has very high cellulose content. Its cost is very low and it is extensively available. It can also be easily blended with any material to obtain desired properties. Hence, it becomes a suitable option as a reinforcing material in polymer composites. The materials epoxy, hardener, banana fiber, and nylon fiber, are used and hand layup method is adopted to manufacture the composite. In this research, Banana fiber is mixed as reinforcement with nylon fiber in epoxy polymer composite. The weight fraction of banana fiber is 20% and 30%. The tensile strength, flexural strength, flexural modulus, and impact properties are studied through relevant experiments. It is observed that the above mechanical properties of hybrid natural fiber composites were increased with an increase in banana fiber weight fraction following rule of mixtures.

References

[1]. Arthanarieswaran, V. P., Kumaravel, A., & Kathirselvam, M. (2014). Evaluation of mechanical properties of banana and sisal fiber reinforced epoxy composites: Influence of glass fiber hybridization. Materials & Design, 64,194-202. https://doi.org/10.1016/j .matdes.2014.07.058

[2]. Barbosa Jr, V., Ramires, E. C., Razera, I. A. T., & Frollini, E. (2010). Biobased composites from tannin–phenolic polymers reinforced with coir fibers. Industrial Crops and Products, 32(3), 305-312. https://doi.org/10.1016/ j.indcrop.2010.05.007

[3]. Beckermann, G. W., & Pickering, K. L. (2008). Engineering and evaluation of hemp fibre reinforced polypropylene composites: Fibre treatment and matrix modification. Composites Part A: Applied Science and Manufacturing, 39(6), 979-988. https://doi.org/ 10.1016/ j.compositesa.2008.03.010

[4]. Biswas, S., Shahinur, S., Hasan, M., & Ahsan, Q. (2015). Physical, mechanical and thermal properties of jute and bamboo fiber reinforced unidirectional epoxy composites. Procedia Engineering, 105, 933-939. https://doi.org/ 10.1016/j.proeng.2015.05.118

[5]. Brahmakumar, M., Pavithran, C., & Pillai, R. M. (2005). Coconut fibre reinforced polyethylene composites: Effect of natural waxy surface layer of the fibre on fibre/matrix interfacial bonding and strength of composites. Composites Science and Technology, 65(3-4), 563-569. https://doi.org/10.1016/j.compscitech.2004.09.020

[6]. Deb, A., Das, S., Mache, A., & Laishram, R. (2017). A study on the mechanical behaviors of jute-polyester composites. Procedia Engineering,173, 631-638. https://doi.org/10.1016/j.proeng.2016.12.120

[7]. Geethamma, V. G., Kalaprasad, G., Groeninckx, G., & Thomas, S. (2005). Dynamic mechanical behavior of short coir fiber reinforced natural rubber composites. Composites Part A: Applied Science and Manufacturing, 36(11),1499-1506. https://doi.org/10.1016/j.compositesa 2005.03.004

[8]. Geethamma, V. G., Mathew, K. T., Lakshminarayanan, R., & Thomas, S. (1998). Composite of short coir fibres and natural rubber: Effect of chemical modification, loading and orientation of fibre. Polymer, 39(6-7), 1483-1491. https://doi.org/10.1016/S0032-3861(97)00422-9

[9]. Herrera-Franco, P., & Valadez-Gonzalez, A. (2005). A study of the mechanical properties of short natural-fiber reinforced composites. Composites Part B: Engineering, 36(8), 597-608. https://doi.org/10.1016/j.composites b.2005.04.001

[10]. Liu, W., Misra, M., Askeland, P., Drzal, L. T., & Mohanty, A. K. (2005). 'Green' composites from soy based plastic and pineapple leaf fiber: Fabrication and properties evaluation. Polymer, 46(8), 2710-2721. https://doi.org/ 10.1016/j.polymer.2005.01.027

[11]. Monteiro, S. N., Terrones, L. A. H., & D'almeida, J. R. M. (2008). Mechanical performance of coir fiber/polyester composites. Polymer Testing, 27(5), 591-595. https:// doi.org/10.1016/j.polymertesting.2008.03.003

[12]. Rojo, E., Alonso, M. V., Oliet, M., Del Saz-Orozco, B., & Rodriguez, F. (2015). Effect of fiber loading on the properties of treated cellulose fiber-reinforced phenolic composites. Composites Part B: Engineering, 68, 185-192. https://doi.org/10.1016/j.compositesb.2014.08.047

[13]. Rokbi, M., Osmani, H., Imad, A., & Benseddiq, N. (2011). Effect of chemical treatment on flexure properties of natural fiber-reinforced polyester composite. Procedia Engineering,10(0), 2092-2097. https://doi.org/10.1016/j.pr oeng.2011.04.346

[14]. Ruksakulpiwat, Y., Sridee, J., Suppakarn, N., & Sutapun, W. (2009). Improvement of impact property of natural fiber–polypropylene composite by using natural rubber and EPDM rubber. Composites Part B: Engineering, 40(7), 619-622. https://doi.org/10.1016/j.cemconcomp.2009.02.006

[15]. Satyanarayana, K. G., Sukumaran, K., Kulkarni, A. G., Pillai, S. G. K., & Rohatgi, P. K. (1986). Fabrication and properties of natural fibre-reinforced polyester composites. Composites, 17(4), 329-333. https://doi.org/10.1016/0010- 4361(86)90750-0

[16]. Savastano Jr, H., Santos, S. F., Radonjic, M., & Soboyejo, W. O. (2009). Fracture and fatigue of natural fiber-reinforced cementitious composites. Cement and Concrete Composites, 31(4), 232-243. https://doi.org/ 10.1016/j.cemconcomp.2009.02.006

[17]. Sgriccia, N., Hawley, M. C., & Misra, M. (2008). Characterization of natural fiber surfaces and natural fiber composites. Composites Part A: Applied Science and Manufacturing, 39(10), 1632-1637. https://doi.org/10.101 6/j.compositesa.2008.07.007

[18]. Virk, A. S., Hall, W., & Summerscales, J. (2010). Failure strain as the key design criterion for fracture of natural fibre composites. Composites Science and Technology, 70(6), 995-999. https://doi.org/10.1016/j.compscitech.201002. 018

[19]. Wu, Y., Xia, C., Cai, L., Garcia, A. C., & Shi, S. Q. (2018). Development of natural fiber-reinforced composite with comparable mechanical properties and reduced energy consumption and environmental impacts for replacing automotive glass-fiber sheet molding compound. Journal of Cleaner Production, 184, 92-100. https://doi.org/10.1016/j.jclepro.2018.02.257

[20]. Xia, C., Zhang, S., Shi, S. Q., Cai, L., & Huang, J. (2016). Property enhancement of kenaf fiber reinforced composites by in situ aluminum hydroxide impregnation. Industrial Crops and Products, 79, 131-136.

Full Article (HTML)

Pdf

Research Paper

Effect of Variation of Alloying Elements on Hardness and Impact Strength Characteristics and Application of Taguchi Technique for Optimization of Drilling Parameters of Aluminum Alloy Al6463

Amardeepak M.* , Narayana B. Doddapattar, Sanjeeva Murthy*

- Cambridge Institute of Technology (North Campus), Bangalore, Karnataka, India.

Department of Mechanical Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India.

Amardeepak, M., Doddapattar, N. B., and Murthy, S. (2020). Effect of Variation of Alloying Elements on Hardness and Impact Strength Characteristics and Application of Taguchi Technique for Optimization of Drilling Parameters of Aluminum Alloy Al6463. i-manager's Journal on Mechanical Engineering,10(1), 41-50. https://doi.org/10.26634/jme.10.1.16841

Abstract

Aluminium was a late comer to the industry due to the fact that its commercial production began only towards the end of 19^th century. It is the third most abundant metal in the earth's crust, which is combined with oxygen and other elements in its natural form. It has a face centred cubic structure and is easier to machine. The most widely used non-ferrous metals in engineering are aluminium alloys, which are widely used in the automotive and aerospace industries. These alloys possess some important characteristics like good ductility and corrosion resistance, high strength to weight ratio and can be heat treated to enhance the mechanical properties while maintaining low weight. The present work mainly focuses on the study of mechanical properties by conducting the Impact and Hardness tests on the aluminium alloy Al6463 by varying the compositions of the two major elements, Mg and SI in the alloy. The Impact energy absorbed and hardness of the aluminium alloy Al6463 by varying the Magnesium composition b/w (0.5 to 0.875%) and Silicon composition b/w (0.2 to 0.575%) is studied in this research work. The specimens were prepared as per ASTM standard size for hardness and impact tests. The results indicate that highest impact strength of the alloy Al6463 was obtained for 0.750% Mg and 0.2% Si compositions whereas the highest hardness was obtained for Mg compositions of 0.5% and 0.875% Mg and SI composition of 0.575%. Drilling of Al6463 alloy was carried out with the experiments conducted based on Taguchi's L₁₆ Orthogonal Array to get the optimized values of the drilling parameters. The drilling parameters selected were feed, speed, depth of cut, drill bit diameter, and material composition, which were varied in 4 levels. The main effect plots were studied to determine the influence of the drilling parameters on machining responses, such as surface roughness, material removal rate, machining time, machining force, and machining power.

References

[1]. Astakhov, V. P., & Shvets, S. (2004). The assessment of plastic deformation in metal cutting. Journal of Materials Processing Technology, 146(2), 193-202. https://doi.org/ 10.1016/j.jmatprotec.2003.10.015

[2]. Basavaraju, S., Arasukumar, K., Bendigeri, C., & Umesh, C. K. (2012). Studies on mechanical properties and tribological characteristics of LM 25- graphite-silicon carbide and LM 25- fly ash-silicon carbide-hybrid MMCs. International Journal of Innovative Research in Science, Engineering and Technology, 1(1), 107-112.

[3]. Bono, M., & Ni, J. (2006). The location of the maximum temperature on the cutting edges of a drill. International Journal of Machine Tools and Manufacture, 46(7-8), 901- 907. https://doi.org/10.1016/j.ijmachtools.2005.04.020

[4]. Carle, D., & Blount, G. (1999). The suitability of aluminium as an alternative material for car bodies. Materials & Design, 20(5), 267-272. https://doi.org/ 10.1016/S0261-3069(99)00003-5

[5]. Kleiner, M., Geiger, M., & Klaus, A. (2003). Manufacturing of lightweight components by metal forming. CIRP Annals, 52(2), 521-542. https://doi.org/ 10.1016/S0007-8506(07)60202-9

[6]. Mohamed, M. S., & Ismail, A. (2016, April). Review onc sheet metal forming process of aluminium alloys. In 17 International Conference on Applied Mechanics and Mechanical Engineering (pp. 129-141).

[7]. Narasayya, C. V., Rambabu, P., Mohan, M. K., Mitra, R., & Prasad, N. E. (2014). Tensile deformation and fracture behaviour of an aerospace aluminium alloy AA2219 in different ageing conditions. Procedia Materials Science, 6, 322-330. https://doi.org/10.1016/j.mspro.2014.07.041

[8]. Rane, V. N., Edlabadkar, A., Kamble, D., & Chaudhari, S. S. (2015). Optimization of process parameters for resharpened HSS drill using Taguchi Methods. International Journal on Engineering Technology and Sciences, 2(2015), 55-58.

[9]. Shirish, K., & Rathi, M. G. (2013). Application of Taguchi method in the optimization of drilling parameters. International Journal of Engineering Research & Technology, 2(8), 187-191.

[10]. Sulaiman, A. S. (2005). Finite Element Modeling and Characterization of Spring Back and Drawability in Aluminum-Based Alloy (Doctoral Dissertation, University of Birmingham, England).

[11]. Sundeep, M., Sudhahar, M., Kannan, T. T. M., Kumar, P. V., & Parthipan, N. (2014). Optimization of drilling parameters on austenitic stainless steel (AISI 316) using taguchi's methodology. International Journal of Mechanical Engineering and Robotics Research, 3(4), 388-394.

[12]. Tamta, N., & Jadoun, R. S. (2015). Parametric optimization of drilling machining process for surface roughness on aluminium alloy 6082 using Taguchi method. International Journal of Mechanical Engineer (SSRGIJME), 2(7), 49-55.

[13]. Tzou, G. J., Chen, D. Y., & Hsu, C. Y. (2006). Application of Taguchi method in the optimization of cutting parameters for turning operations. Journal of Longhua University of Science and Technology, 1-14

Full Article (HTML)

Pdf

Review Paper

A Study on Optimization of Machining Parameters in Cylindrical Traverse Rough and Finish Cut Grinding Processes

Manikandan M.* , S. Prabagaran, N. M. Sivaram*, Milon Selvam Dennison****

- Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Department of Mechanical Engineering, National Institute of Technology, Puducherry, Karaikal, Tamil Nadu, India.

**** Department of Mechanical Engineering, Kampala International University, Uganda.

Manikandan, M., Prabagaran, S., Sivaram, N. M., and Dennison, M. S. (2020). A Study on Optimization of Machining Parameters in Cylindrical Traverse Rough and Finish Cut Grinding Processes. i-manager's Journal on Mechanical Engineering, 10(1), 51-65. https://doi.org/10.26634/jme.10.1.16626

Abstract

Grinding is one of the most important and widely used manufacturing processes. In grinding operation, the selection of optimum process parameters is vital. Achieving optimum Material Removal Rate and surface finish at minimum possible machining cost and time is a challenging task. Various researchers are working in this field to get optimum yields and optimum planning of experiments. The optimum conditions could be yielded using traditional and nontraditional optimization techniques, such as Taguchi, Response Surface Methodology, Genetic Algorithm, etc. In this article, an attempt is made in reviewing the effect of various process parameters on various grinding operation on different steel alloy materials. This review relies on notable academic publications and conference proceedings.

References

[1]. Almeida, I. A., De Rossi, W., Lima, M. S. F., Berretta, J. R., Nogueira, G. E. C., Wetter, N. U., & Vieira Jr, N. D. (2006). Optimization of titanium cutting by factorial analysis of the pulsed Nd: YAG laser parameters. Journal of Materials Processing Technology, 179(1-3), 105-110. https://doi.org /10.1016/j.jmatprotec.2006.03.107

[2]. Altintas, Y., & Weck, M. (2004). Chatter stability of metal cutting and grinding. CIRP Annals, 53(2), 619-642. https://doi.org/10.1016/S0007-8506(07)60032-8

[3]. Bennett, R. S., & May, C. F. (1966). Performance studies on a typical centreless grinding machine with reference to truing and balancing of the grinding wheel. International Journal of Machine Tool Design and Research, 6(2), 47- 101. https://doi.org/10.1016/0020-7357(66)90007-2

[4]. Boothroyd, G. (1994). Product design for manufacture and assembly. Computer-Aided Design, 26(7), 505-520. https://doi.org/10.1016/0010-4485(94)90082-5

[5]. Debnath, S., Reddy, M. M., & Yi, Q. S. (2014). Environmental friendly cutting fluids and cooling techniques in machining: A review. Journal of Cleaner Production, 83, 33-47. https://doi.org/10.1016/j.jclepro.20 14.07.071

[6]. Dhar, N. R., Kamruzzaman, M., & Ahmed, M. (2006). Effect of Minimum Quantity Lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel. Journal of Materials Processing Technology, 172(2), 299-304. https://doi.org/10.1016/j.jmatprotec.2005.09.022

[7]. El-Hofy, H. A. G. (2013). Fundamentals of Machining Processes: Conventional and Nonconventional Processes. CRC Press.

[8]. Ernst, D., & Kim, L. (2002). Global production networks, knowledge diffusion, and local capability formation. Research Policy, 31(8-9), 1417-1429.

[9]. Ezugwu, E. O. (2005). Key improvements in the machining of difficult-to-cut aerospace superalloys. International Journal of Machine Tools and Manufacture, 45(12-13), 1353-1367. https://doi.org/10.1016/S0048- 7333(02)00072-0

[10]. Gijo, E. V., Scaria, J., & Antony, J. (2011). Application of six sigma methodology to reduce defects of a grinding process. Quality and Reliability Engineering International, 27(8), 1221-1234. https://doi.org/10.1002/qre.1212

[11]. Groover, M. P. (2007). Fundamentals of Modern Manufacturing: Materials Processes, and Systems. John Wiley & Sons.

[12]. Habib, S. S. (2014). Parameter optimization of electrical discharge machining process by using Taguchi approach. Journal of Engineering and Technology Research, 6(3), 27-42. https://doi.org/10.5897//JETR 2014.0356

[13]. Hameed, S., Abbas, M. A., & Ghalib, I. (2012, January). Effective use of technology can improve the quality and productivity of machining operation of Fuze shop. In Proceedings of the 6th WSEAS International Conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics (pp. 436-445). World Scientific and Engineering Academy and Society (WSEAS).

[14]. He, Y., Li, Y., Wu, T., & Sutherland, J. W. (2015). An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops. Journal of Cleaner Production, 87, 245-254. https://doi.org/10.1016/j.jclepro.2014.10.006

[15]. Iuliano, L., Moretto, I., & Brandino, D. (2019). Definition of Cylindrical Grinding Process Standard for Aeronautical gears. Retrieved from https://webthesis.biblio.polito .it/10488/1/tesi.pdf

[16]. Jadoun, R. S., Kumar, P., Mishra, B. K., & Mehta, R. C. S. (2006). Optimization of process parameters for ultrasonic drilling of advanced engineering ceramics using the Taguchi approach. Engineering Optimization, 38(7), 771- 787. https://doi.org/10.1080/03052150600733962

[17]. Jadoun, R. S., Kumar, P., & Mishra, B. K. (2009). Taguchi's optimization of process parameters for production accuracy in ultrasonic drilling of engineering ceramics. Production Engineering, 3(3), 243-253. https://doi.org/10.1007/s11740-009-0164-2

[18]. Jagtap, K. R., Ubale, S. B., & Kadam, M. S. (2011). Optimization of cylindrical grinding process parameters for AISI 5120 steel using Taguchi method. International Journal of Design and Manufacturing Technology, 2(1), 47-56.

[19]. Jahan, M. P., Rahman, M. & Wong, Y. S. (2011). A review on the conventional and micro-electrodischarge machining of tungsten carbide. International Journal of Machine Tools and Manufacture, 51(12), 837-858. https://doi.org/10.1016/j.ijmachtools.2011.08.016

[20]. Jawahir, I. S., Brinksmeier, E., M'saoubi, R., Aspinwall, D. K., Outeiro, J. C., Meyer, D., Umbrello, D., & Jayal, A. D. (2011). Surface integrity in material removal processes: Recent advances. CIRP Annals, 60(2), 603-626. https://doi.org/10.1016/j.cirp.2011.05.002

[21]. Jayal, A. D., Badurdeen, F., Dillon Jr, O. W., & Jawahir, I. S. (2010). Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels. CIRP Journal of Manufacturing Science and Technology, 2(3), 144-152. https://doi.org/10.1016/j .cirpj. 2010.03.006

[22]. Jeevanantham, S., Sivaram, N. M., Smart, D. R., & Nallusamy, S. (2017). Optimization of internal grinding process parameters on C40E steel using taguchi technique. International Journal of Applied Engineering Research, 12(19), 8660-8664.

[23]. Karande, M. R. J., Patil, M. K. R., Jadhav, S. M., & Nanwatkar, R. K. (2017). Optimization of cylindrical grinding machine parameters for minimum surface roughness and maximum MRR. GRD Journals-Global Research and Development Journal for Engineering, 2(5), 62-68.

[24]. Karpuschewski, B., Knoche, H. J., & Hipke, M. (2008). Gear finishing by abrasive processes. CIRP Annals, 57(2), 621-640. https://doi.org/10.1016/j.cirp.2008.09.002

[25]. Kumar, K., Chattopadhyaya, S., & Singh, H. (2012). Optimal material removal and effect of process parameters of cylindrical grinding machine by Taguchi method. International Journal of Advanced Engineering Research and Studies, 2(1), 39-43.

[26]. Kumar, N., Tripathi, H., & Gandotra, S. (2015). Optimization of cylindrical grinding process parameters on C40E steel using taguchi technique. International Journal of Engineering Research Applications, 5, 100-104.

[27]. Kumar, S., & Bhatia, O. S. (2015). Review of analysis & optimization of cylindrical grinding process parameters on material removal rate of En15AM steel. IOSR Journal of Mechanical and Civil Engineering, 12(4), 35-43. https:// doi.org/10.9790 /1684-12423543

[28]. Kumar, S., Gupta, M., & Satsangi, P. S. (2015). Multipleresponse optimization of cutting forces in turning of UDGFRP composite using distance-based pareto genetic algorithm approach. Engineering Science and Technology, an International Journal, 18(4), 680-695. https://doi.org/10.1016/j.jestch.2015.04.010

[29]. Lieder, M., & Rashid, A. (2016). Towards circular economy implementation: A comprehensive review in context of manufacturing industry. Journal of Cleaner Production,115,36-5. https://doi.org/10.1016/j.jclepro.201 5.12.042

[30]. Lin, H. C., Su, C. T., Wang, C. C., Chang, B. H., & Juang, R. C. (2012). Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms. Expert Systems with Applications, 39(17), 12918-12925. https://doi.org/10.1016/j.eswa.2012.05.032

[31]. McCoy, J. S. (2017). Introduction tracing the historical development of metalworking fluids. In Byers J. P. (3rd Ed.). Metalworking Fluids (pp. 1-17). CRC Press. https://doI.org/1 0.4324/9781351228213

[32]. Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000). Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing, 11(4), 403-419. https://doi.org/10.1023/A:1008930403506

[33]. Mekala, K., Chandradas, J., Chandrasekaran, K., Kannan, T. T. M., Ramesh, E., & Babu, R. N. (2014). Optimization of cylindrical grinding parameters of austenitic stainless steel rods (AISI 316) by Taguchi method. International Journal of Mechanical Engineering and Robotics Research, 3(2), 208-215.

[34]. Mohite, D. D., Patil, K. R., Karande, R. J., & Jadhav, V. S. (2017). Modeling and optimization of cylindrical grinding parameters for MRR and surface roughness. International Journal of Engineering Sciences & Research Technology, 6(4), 32-40.

[35]. Montgomery, D. C. (1999). Experimental design for product and process design and development. Journal of the Royal Statistical Society: Series D (The Statistician), 48(2), 159-177. https://doi.org/10.1111/1467-9884.00179

[36]. Neşeli, S., Asiltürk, İ., & Çelik, L. (2012). Determining the optimum process parameter for grinding operations using robust process. Journal of Mechanical Science and technology, J26(11), 3587-3595. https://doi.org/10.1 007/12206- 012-0851-3

[37]. Pal, D., Bangar, A., Sharma, R., & Yadav, A. (2012). Optimization of grinding parameters for minimum surface roughness by Taguchi parametric optimization technique. International Journal of Mechanical and Industrial Engineering, 1(3), 74-78.

[38]. Panthangi, R. K., & Naduvinamani, V. (2017). Optimization of surface roughness in cylindrical grinding Process. International Journal of Applied Engineering Research, 12, 7350-7354.

[39]. Ponnusamy, R., Selvam, D, M., & Ganesan, V. (2018). Effect of mineral based cutting fluid on surface roughness of EN24 steel during turning operation. International Research Journal of Engineering and Technology (IRJET), 5(2), 1008-1011.

[40]. Rajurkar, K. P., Zhu, D., McGeough, J. A., Kozak, J., & De Silva, A. (1999). New developments in electrochemical machining. CIRP Annals, 48(2), 567-579. https://doi.org/10.1016/S0007-8506(07)63235-1

[41]. Rudrapati, R., Bandyopadhyay, A., & Pal, P. K. (2013). Multi-objective optimization in traverse cut cylindrical grinding. International Journal of Advanced MaterialsManufacturing & Characterization, 3, 335-339. https://doI .org/10.11127/ijammc.2013.02.061

[42]. Schreiber, A. T., Schreiber, G., Akkermans, H., Anjewierden, A., Shadbolt, N., de Hoog, R., Van de Velde, W., Shadbolt, N. R. & Wielinga, B. (2000). Knowledge Engineering and Management: The Common Kads Methodology. MIT Press.

[43]. Scott, D., Boyina, S., & Rajurkar, K. P. (1991). Analysis and optimization of parameter combinations in wire electrical discharge machining. The International Journal of Production Research, 29(11), 2189-2207. https://doi. org/10.1080/00207549108948078

[44]. Selvam, M. D., & Meji, M. A. (2018). A Comparative Study on the Surface Finish Achieved During Face Milling of AISI 1045 Steel Components. i-manager's Journal on Mechanical Engineering, 8(2), 18-26. https://doi.org/ 10.26634/jme.8.2.14209

[45]. Selvam, M. D., & Senthil, P. (2016). Investigation on the effect of turning operation on surface roughness of hardened C45 carbon steel. Australian Journal of Mechanical Engineering, 14(2),131-137. https://doi. org/10.1080/14484846.2015.1093257

[46]. Selvam, M. D., & Sivaram, N. (2017). The effectiveness of various cutting fluids on the surface roughness of AISI 1045 steel during turning operation using minimum quantity lubrication system. Journal on Future Engineering & Technology,13(1),36-43.https://doi.org/10.26634 /jfet.13.1.13761

[47]. Selvam, M. D., & Sivaram, N. M. (2018). A comparative study on the surface finish achieved during turning operation of AISI 4340 steel in flooded, near-dry and dry conditions. Australian Journal of Mechanical Engineering, 1-10. https://doi.org/10.1080/14484846. 2018.1546363

[48]. Selvam, M. D., Dawood, D. A. S., & Karuppusami, D. G. (2012). Optimization of machining parameters for face milling operation in a vertical CNC milling machine using genetic algorithm. IRACST - Engineering Science and Technology: An International Journal (ESTIJ), 2(4), 544- 548.https://doi.org/10.13140/RG.2.2.21632.33286

[49]. Selvam, M. D., Senthil, P., & Sivaram, N. M. (2017). Parametric optimisation for surface roughness of AISI 4340 steel during turning under near dry machining condition. International Journal of Machining and Machinability of Materials,19(6), 554-569. https://doi.org/10.1504/IJMMM. 2017.088896

[50]. Selvam, M. D., Srinivasan, V., & Sekar, C. B. (2014). An attempt to minimize lubricants in various metal cutting processes. International Journal of Applied Engineering Research, 9(22), 7688-7692.

[51]. Shaji, S., & Radhakrishnan, V. (2003). Analysis of process parameters in surface grinding with graphite as lubricant based on the Taguchi method. Journal of Materials Processing Technology, 141(1), 51-59. https:// doi.org/10.1016/S0924-0136(02)01112-3

[52]. Siddik, A. J., Kumar, A. A, Gurumoorthy, G., Mattuvarkulali, M., & Rekha, R. (2017). Effect of machining parameters on Material Removal Rate (MRR) and surface roughness in cylindrical grinding of Inconel 718. International Journal of Advanced Research Methodology in Engineering and Technology, 1(2), 152.

[53]. Sridhar, M. M. J., & Khan, M. A. G. (2014). Optimization of cylindrical grinding process parameters of OHNS steel (AISI 0-1) rounds using design of experiments concept. International Journal of Engineering Trends and Technology (IJETT), 17(3), 109-114.

[54]. Thakor, S. P., & Patel, D. M. (2014). An experimental investigation on cylindrical grinding process parameters for EN 8 using regression analysis. International Journal of Engineering Development and Research, 2(2), 2486- 2491.

[55].Todd, R. H., Allen, D. K., & Alting, L. (1994). Manufacturing Processes Reference Guide. Industrial Press Inc.

[56]. Tönshoff, H. K., Karpuschewski, B., Mandrysch, T., & Inasaki, I. (1998). Grinding process achievements and their consequences on machine tools challenges and opportunities. CIRP Annals, 47(2), 651-668. https://doi.org/ 10.1016/S0007-8506(07)63247-8

[57]. Tsui, K. L. (1992). An overview of Taguchi method and newly developed statistical methods for robust design. LIE Transactions, 24(5), 44-57. https://doi.org/10.1080 /07408179208964244

[58]. Yan, J., & Li, L. (2013). Multi-objective optimization of milling parameters–the trade-offs between energy, production rate and cutting quality. Journal of Cleaner Production, 52, 462-471. https://doi.org/ 10.1016/j.jclepro .2013.02.030

[59]. Youssef, H. A., & El-Hofy, H. (2008). Machining Technology: Machine Tools and Operations. CRC Press.

i-manager's Journal on Mechanical Engineering (JME)

Current Issue Vol. 14 Issue 2

Most Read

Most Cited

Volume 10 Issue 1 November - January 2020

Effects of Parameters on Sourface Roughness and Material Removal in EDM of High Chromium Steel-D7

Palwinder Singh* , Lakhvir Singh**

*-** Department of Mechanical Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India.

Singh, P., and Singh, L. (2020). Effects of Parameters on Sourface Roughness and Material Removal in EDM of High Chromium Steel-D7. i-manager's Journal on Mechanical Engineering, 10(1), 1-12. https://doi.org/10.26634/jme.10.1.16576

Abstract

References

Full Article (HTML)

Pdf

Evaluation of Metallographic Properties for Welding of AISI 1040 Steel

Saurabh Gandhe* , V. S. Aher**, V. D. Wakchaure***

*-*** Department of Mechanical Engineering, Amrutrahini College of Engineering, Maharashtra, India.

Gandhe, S., Aher, V. S., and Wakchaure, V. D. (2020). Evaluation of Metallographic Properties for Welding of AISI 1040 Steel. i-manager's Journal on Mechanical Engineering, 10(1), 13-20. https://doi.org/10.26634/jme.10.1.16668

Abstract

References

Full Article (HTML)

Pdf

Navier–Stokes Computations on Type-IVr Shock-Shock Interaction mechanism over Double Wedge (15-60) at High Speed Flows

Sravan Kumar Kota* , Sameer Ahamed Shaik**

*-** Samhams Technologies, Nellore, Andhra Pradesh, India.

Kota, S. K., and Shaik, S. A. (2020). Navier–Stokes Computations on Type-IVr Shock-Shock Interaction mechanism over Double Wedge (15-60) at High Speed Flows. i-manager's Journal on Mechanical Engineering, 10(1), 21-31. https://doi.org/10.26634/jme.10.1.16708

Abstract

References

Full Article (HTML)

Pdf

Mechanical Properties of Hybrid Fiber Reinforced Epoxy Composites

R. Srinivasan * , Thirugnanam S.**

*-** Department of Mechanical Engineering, SRM Valliammai Engineering College, Chennai, Tamil Nadu, India.

Srinivasan, R., and Thirugnanam. S. (2020). Mechanical Properties of Hybrid Fiber Reinforced Epoxy Composites. i-manager's Journal on Mechanical Engineering, 10(1), 32-40. https://doi.org/10.26634/jme.10.1.16744

Abstract

References

Full Article (HTML)

Pdf

Effect of Variation of Alloying Elements on Hardness and Impact Strength Characteristics and Application of Taguchi Technique for Optimization of Drilling Parameters of Aluminum Alloy Al6463

Amardeepak M.* , Narayana B. Doddapattar**, Sanjeeva Murthy***

*-** Cambridge Institute of Technology (North Campus), Bangalore, Karnataka, India. *** Department of Mechanical Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India.

Abstract

References

Full Article (HTML)

Pdf

A Study on Optimization of Machining Parameters in Cylindrical Traverse Rough and Finish Cut Grinding Processes

Manikandan M.* , S. Prabagaran**, N. M. Sivaram***, Milon Selvam Dennison****

Manikandan, M., Prabagaran, S., Sivaram, N. M., and Dennison, M. S. (2020). A Study on Optimization of Machining Parameters in Cylindrical Traverse Rough and Finish Cut Grinding Processes. i-manager's Journal on Mechanical Engineering, 10(1), 51-65. https://doi.org/10.26634/jme.10.1.16626

Abstract

References

Full Article (HTML)

Pdf

Saurabh Gandhe* , V. S. Aher, V. D. Wakchaure*

Amardeepak M.* , Narayana B. Doddapattar, Sanjeeva Murthy*

- Cambridge Institute of Technology (North Campus), Bangalore, Karnataka, India.

Department of Mechanical Engineering, Sri Siddhartha Institute of Technology, Tumkur, Karnataka, India.

Manikandan M.* , S. Prabagaran, N. M. Sivaram*, Milon Selvam Dennison****