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

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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

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Volume 8 Issue 4 August - October 2018

Research Paper

Experimental Studies on Mechanical Properties of Polymer Based Composites

SATISH* , S. Sambhu Prasad, V. V. S. Prasad*

* Associate Professor, Department of Mechanical Engineering, Pragati Engineering College, Surampalem, Andhra Pradesh, India.

Professor, Department of Mechanical Engineering, Pragati Engineering College, Surampalem, Andhra Pradesh, India.

* Professor, Department of Marine Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.

Satish, G., Prasad, S. S., and Prasad, V. V. S. (2018). Experimental Studies on Mechanical Properties of Polymer Based Composites. i-manager’s Journal on Mechanical Engineering, 8(4), 1-7. https://doi.org/10.26634/jme.8.4.14102

Abstract

Polymer composites have good characteristics like modulus/weight ratio, strength/weight ratio, excellent fatigue and non-corroding properties which encourage to the extensive applications. This study was about the orientation of fiber effects on the mechanical properties of E-glass reinforced polymer composites which is essential. For three different orientations (0^o/90^o, 0^o/45^o & 0^o/135^o) of fiber, epoxy laminated composites are fabricated by hand-layup technique and these specimens were subjected to tensile, flexural and hardness testing as per the ASTM standards. This paper evaluates the comparison of different orientation of E-glass fiber in order to improve the strength and hardness. The experimental results reveal that the best tensile strength and hardness values are obtained for 0^o/90^o oriented fibers, flexural strength is for 0^o/45^o orientations specimen. Regression analysis is utilised to check the validity of the experimental data. The results demonstrated that the created quadratic models are suitable for the prediction of experimental values for mechanical properties.

References

[1]. Banakar, P., Shivananda, H. K., & Niranjan, H. B. (2012). Influence of fiber orientation and thickness on tensile properties of laminated polymer composites. International Journal of Pure and Applied Sciences and Technology, 9(1), 61-68.

[2]. Bakir, B., & Hashem, H. (2013). Effect of fiber orientation for fiber glass reinforced composite material on mechanical properties. International Journal of Mining, Metallurgy & Mechanical Engineering (IJMMME), 1(5), 341-345.

[3]. Chandramohan, D., & Kumar, A. J. P. (2017). Experimental data on the properties of natural fiber particle reinforced polymer composite material. Data in Brief, 13, 460-468.

[4]. Devi, S. B., Hussian, S. A., Reddy, K. T., & Madhuri, K. S. (2013). Characterization of Hybrid Polymer Composites. International Journal of Engineering Research and Science & Technology, 2(4), 153-170.

[5]. Gopinath, A., Kumar, M. S., & Elayaperumal, A. (2014). Experimental investigations on mechanical properties of jute fiber reinforced composites with polyester and epoxy resin matrices. Procedia Engineering, 97, 2052-2063.

[6]. Keshavamurthy, Y. C., Sharma, D. R. S., & Kulkarni, D. R. (2012). Investigation of Tensile properties of fiber reinforced angle Ply laminated composites. International Journal of Emerging Technology and Advanced Engineering, 2(4), 700-703.

[7]. Kim, S. Y., Shim, C. S., Sturtevant, C., & Song, H. C. (2014). Mechanical properties and production quality of hand-layup and vacuum infusion processed hybrid composite materials for GFRP marine structures. International Journal of Naval Architecture and Ocean Engineering, 6(3), 723-736.

[8]. Kumar, M.S., Krishna, S.G.G, (2014). Study on effect of Thickness and fibre orientation on a Tensile and Flexural Properties of a Hybrid Composite. International Journal of Engineering Research and Applications, 4(8), 56-66.

[9]. Moorthy, S. S., & Manonmani, K. (2013). Fabrication and characterization of TiO2 particulate filled glass fiber reinforced polymer composite. Mater. Phys. Mech., 18, 28- 34.

[10]. Palani, D. P., & Kumar, M. N. (2013). Analysis of Mechanical properties of chopped strand mat E-Glass fiber epoxy resin nanoclay composites. The International Journal of Engineering and Science (IJES), 2(2), 185-189.

[11]. Rathnakar, G., & Shivanand, H. K. (2013). Fiber Orientation and its Influence on the flexural strength of glass fiber and graphite fiber reinforced polymer composite. International Journal of Innovative Research in Science, Engineering and Technology, 2(3), 548-552.

[12]. Sanjay, M. R., Arpitha, G. R., & Yogesha, B. (2015). Study on mechanical properties of natural-glass fibre reinforced polymer hybrid composites: A review. Materials Today: Proceedings, 2(4-5), 2959-2967.

[13]. Satish, G., Prasad, V. V. S., & Ramji, K. (2017a). Manufacturing and characterization of CNT based polymer composites. Mathematical Models in Engineering, 3(2), 89-97.

[14]. Satish, G., Prasad, V. V. S., & Ramji, K (2017b). Impact of carbon nanotubes on polymer nano composites. IJARBEST, 3(6), 46-60.

[15]. Satish, G., Prasad, V. V. S., & Ramji, K. (2018). Effect on Mechanical properties of carbon nanotube based hybrid composites. Materials Today-Elsevier, 5(2), 7725-7734.

[16]. Shokrieh, M. M., & Omidi, M. J. (2009). Tension behavior of unidirectional glass/epoxy composites under different strain rates. Composite Structures, 88(4), 595-601.

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Research Paper

Optimization of Environmental Friendly Turning Process using Taguchi Integrated Grey Relational Analysis during Machining of 17-4 PH Stainless Steel

P. Sivaiah* , P. Mallikarjuna, B.K.Sridhara*, K. Venkata Chalapathi****

* Senior Assistant Professor, Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Andhra Pradesh, India.

Assistant Professor, Department of Mechanical Engineering, Annamacharya Institute of Technology and Sciences, Andhra Pradesh, India.

* Postgraudate, Department of Mechanical Engineering, Jawaharlal Nehru Technological University Ananthapur, Andhra Pradesh, India.

**** Assistant Professor, Department of Mechanical Engineering, Chaitanya Bharathi Institute of Technology, Andhra Pradesh, India.

Sivaiah, P., Mallikarjuna, P., Uma, B., and Chalapath, K. V. (2018). Optimization Of Environmental Friendly Turning Process Using Taguchi Integrated Grey Relational Analysis During Machining of 17-4 PH Stainless Steel. i-manager’s Journal on Mechanical Engineering, 8(4), 8-17. https://doi.org/10.26634/jme.8.4.14190

Abstract

Chemically contaminated conventional coolants and conventional cooling techniques negatively affect the manual operator's health and environmental pollution. To overcome these problems, in the present study, biodegradable coolant and environmentally friendly cooling techniques were used for experimental investigation. Determination of optimum conditions significantly affect the productivity hence selection of optimum cutting conditions is crucial in turning process. The current work is concentrated on optimization of multiple responses using Taguchi integrated Grey Relational Analysis (TGRA) in turning of 17-4 precipitated hardenable stainless steel (PH SS) under minimum quantity lubrication (MQL) environment. The respective multiple responses considered are surface roughness (R_a), tool flank wear (V_b) and material removal rate (MRR), whereas, the respective process parameters considered are cutting velocity (v), feed rate (f) and depth of cut (d). The optimum process parameters determined from the TGRA are at v = 84.62 m/min, f = 0.048 mm/rev and d = 0.7 mm respectively. From the results, it was observed that the respective reductions in R_a and V_b are 30 % and 17.64 %, whereas, MRR increased by 24.68 % at the optimum parameter settings. Also, analysis of variance (ANOVA) was carried out to find out the influence of each input factor on turning performance characteristics. MQL cooling technique is an efficient alternative solution for metal cutting industries from the stringent environmental regulation point of view. On the other hand, TGRA helps to improve the productivity during machining of 17-4 PH SS.

References

[1]. Abhang, L. B., & Hameedullah, M. (2012). Determination of optimum parameters for multi-performance characteristics in turning by using Grey Relational Analysis. The International Journal of Advanced Manufacturing Technology, 63(1-4), 13-24.

[2]. Amini, S., Khakbaz, H., & Barani, A. (2014). Improvement of Near-Dry Machining and its effect on tool wear in turning of AISI 4142. Materials and Manufacturing Processes, 30(2), 241-247. http://doi.org/10.1080/ 10426914.2014.952029

[3]. Chinchanikar, S., & Choudhury, S. K. (2014). Hard turning using HiPIMS-coated carbide tools: Wear behavior under dry and Minimum Quantity Lubrication (MQL). Measurement: Journal of the International Measurement Confederation, 55, 536-548. http://doi.org/10.1016/ j.measurement.2014.06.002

[4]. Deng, J. L. (1982). Control problems of grey systems. Sys. & Contr. Lett., 1(5), 288-294.

[5]. Feng, S., & Hattori, M. (2000). Cost and Process Information Modeling for Dry Machining. In Proc. of the International Workshop for Environment Conscious Manufacturing-ICEM-2000, (pp.1-8). Retrieved from http://www.mel.nist.gov/div826/library/doc/cost_process.p df

[6]. Gupta, M. K., Sood, P. K., & Sharma, V. S. (2016a). Machining parameters optimization of titanium alloy using Response Surface Methodology and Particle Swarm Optimization under Minimum-Quantity Lubrication environment. Materials and Manufacturing Processes, 31(13), 1671-1682.

[7]. Gupta, M. K., Sood, P. K., & Sharma, V. S. (2016b). Optimization of machining parameters and cutting fluids during nano-fluid based minimum quantity lubrication turning of titanium alloy by using evolutionary techniques. Journal of Cleaner Production, 135, 1276-1288.

[8]. Hong, S. Y., & Broomer, M. (2000). Economical and ecological cryogenic machining of AISI 304 austenitic stainless steel. Clean Products and Processes, 2(3), 0157–0166. http://doi.org/10.1007/s100980000073

[9]. Kaynak, Y., Lu, T., & Jawahir, I. S. (2014). Cryogenic Machining-Induced Surface Integrity: A review and comparison with Dry, MQL, and Flood-Cooled Machining. Machining Science and Technology, 18(2), 149-198. http://doi.org/10.1080/10910344.2014.897836

[10]. Kibria, G., Doloi, B., & Bhattacharyya, B. (2013). Optics & Laser Technology experimental investigation and multi-objective optimization of Nd: YAG laser micro-turning process of alumina ceramic using orthogonal array and Grey Relational Analysis. Optics and Laser Technology, 48, 16–27. http://doi.org/10.1016/j.optlastec.2012.09.036

[11]. Kochmaski, P., & Nowacki, J. (2006). Activated gas nitriding of 17-4 PH stainless steel. Surface and Coatings Technology, 200(22-23), 6558-6562. http://doi.org/ 10.1016/j.surfcoat.2005.11.034

[12]. Kouam, J., Songmene, V., Balazinski, M., & Hendrick, P. (2015). Effects of Minimum Quantity Lubricating (MQL) conditions on machining of 7075-T6 aluminum alloy. The International Journal of Advanced Manufacturing Technology, 79(5-8), 1325-1334.

[13]. Kumar, S, V., & Kumar, M, P., (2014). Optimization of cryogenic cooled EDM process parameters using Grey Relational Analysis. Journal of Mechanical Science and Technology, 28, 3777-3784.

[14]. Kuram, E., & Ozcelik, B. (2013). Measurement Multi-objective optimization using Taguchi based grey relational analysis for micro-milling of Al 7075 material with ball nose end mill. Measurement, 46(6), 1849-1864. http://doi.org/ 10.1016/j.measurement.2013.02.002

[15]. Kuzu, A. T., Bijanzad, A., & Bakkal, M. (2015). Experimental investigations of machinability in the turning of compacted Graphite Iron using Minimum Quantity Lubrication. Machining Science and Technology, 19(4), 559–576. http://doi.org/10.1080/10910344.2015.1085313

[16]. Lin, C. L. (2004). Use of the Taguchi method and Grey Relational Analysis to optimize turning operations with multiple performance characteristics. Materials and Manufacturing Processes, 19(2), 209-220.

[17]. Prasanna, J., Karunamoorthy, L., Raman, M. V., Prashanth, S., & Chordia, D. R. (2014). Optimization of process parameters of small hole dry drilling in Ti – 6Al – 4V using Taguchi and Grey Relational Analysis. Measurement, 48, 346-354. http://doi.org/10.1016/j.measurement. 2013.11.020

[18]. Ranganathan, S., & Senthilvelan, T. (2011). Multiresponse optimization of machining parameters in hot turning using grey analysis. The International Journal of Advanced Manufacturing Technology, 56(5-8), 455-462.

[19]. Sarıkaya, M., Yılmaz, V., & Güllü, A. (2016). Analysis of cutting parameters and cooling/lubrication methods for sustainable machining in turning of Haynes 25 superalloy. Journal of Cleaner Production, 133, 172-181. http://doi.org/10.1016/j.jclepro.2016.05.122

[20]. Shaw, M. C., Pigott, J. D., & Richardson, L. P. (1951). Effect of cutting fluid upon chip–tool interface temperature. Trans. ASME, 71(2), 45-56.

[21]. Siva, R. S., Lal, D. M., & Jaswin, M. A. (2015). Optimization of Deep Cryogenic Treatment Process for 100Cr6 bearing steel using the Grey- Taguchi Method. Tribology Transactions, 55(6), 854-862. http://doi.org/ 10.1080/10402004.2012.720002

[22]. Sohrabpoor, H., Khanghah, S. P., & Teimouri, R. (2014). Investigation of lubricant condition and machining parameters while turning of AISI 4340. The International Journal of Advanced Manufacturing Technology, 76(9-12), 2099-2116. http://doi.org/10.1007/s00170-014-6395-1

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Research Paper

Frictional Performance of Dimpled Textured Surfaces on a Frictional Pair: An Experimental Study

G. Vignesh* , M. Prakash, Milon Selvam Dennison*, P. Ragupathi****

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

Adjunct Professor, Department of Mechanical Engineering, Faculty of Engineering at Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Vignesh, G., Prakash, M., Dennison, M. S., and Ragupathi, P. (2018). Frictional Performance of Dimpled Textured Surfaces on a Frictional Pair : An Experimental Study. i-manager’s Journal on Mechanical Engineering, 8(4), 18-24. https://doi.org/10.26634/jme.8.4.14337

Abstract

Surface Texturing is the most significant technique to reduce friction in the frictional pairs. Tribological performance of the frictional pairs can be improved by controlling the geometrical shape, dimple diameter to depth ratio, and area density ratio. In this study, tribological performance of the brass discs with various surface textures mated with brass pins were experimentally analyzed using pin on disc tribometer. Laser marking machine was used to produce surface textures like Circular arrays of spherical and ellipsoidal dimple features with various aspects and area density ratio. The dimple shape and size are experimentally analyzed under dry lubrication. The influence of three kinds of dimple textures on friction characteristics was studied. It shows that there is a positive effect on dimpled surfaces compared to smooth surfaces. Controlling the dimple size and shape plays an important role in surface texturing.

References

[1]. Adjemout, M., Andrieux, A., Bouyer, J., Brunetière, N., Marcos, G., & Czerwiec, T. (2017). Influence of the real dimple shape on the performance of a textured mechanical seal. Tribology International, 115, 409-416.

[2]. Bhaduri, D., Batal, A., Dimov, S. S., Zhang, Z., Dong, H., Fallqvist, M., & M'saoubi, R. (2017). On design and tribological behaviour of laser textured surfaces. Procedia CIRP, 60, 20-25.

[3]. Etsion, I. (2004). Improving tribological performance of mechanical components by laser surface texturing. Tribology Letters, 17(4), 733-737.

[4]. Ezhilmaran, V., Vasa, N. J., & Vijayaraghavan, L. (2018). Investigation on generation of laser assisted dimples on piston ring surface and influence of dimple parameters on friction. Surface and Coatings Technology, 335, 314-326.

[5]. Huang, W., Jiang, L., Zhou, C., & Wang, X. (2012). The lubricant retaining effect of micro-dimples on the sliding surface of PDMS. Tribology International, 52, 87-93.

[6]. Kim, B., Chae, Y. H., & Choi, H. S. (2014). Effects of surface texturing on the frictional behavior of cast iron surfaces. Tribology International, 70, 128-135.

[7]. Koszela, W., Pawlus, P., & Galda, L. (2007). The effect of oil pockets size and distribution on wear in lubricated sliding. Wear, 263(7-12), 1585-1592.

[8]. Kovalchenko, A., Ajayi, O., Erdemir, A., Fenske, G., & Etsion, I. (2005). The effect of laser surface texturing on transitions in lubrication regimes during unidirectional sliding contact. Tribology International, 38(3), 219-225.

[9]. Mishra, S. P., & Polycarpou, A. A. (2011). Tribological studies of unpolished laser surface textures under starved lubrication conditions for use in air-conditioning and refrigeration compressors. Tribology International, 44(12), 1890-1901.

[10]. Qiu, M., Minson, B. R., & Raeymaekers, B. (2013). The effect of texture shape on the friction coefficient and stiffness of gas-lubricated parallel slider bearings. Tribology International, 67, 278-288.

[11]. Sedlaček, M., Podgornik, B., Ramalho, A., & Česnik, D. (2017). Influence of geometry and the sequence of surface texturing process on tribological properties. Tribology International, 115, 268-273.

[12]. Segu, D. Z., Choi, S. G., hyouk Choi, J., & Kim, S. S. (2013). The effect of multi-scale laser textured surface on lubrication regime. Applied Surface Science, 270, 58-63.

[13]. Wakuda, M., Yamauchi, Y., Kanzaki, S., & Yasuda, Y. (2003). Effect of surface texturing on friction reduction between ceramic and steel materials under lubricated sliding contact. Wear, 254(3-4), 356-363.

[14]. Wan, Y., Xiong, D. S., & Li, J. L. (2010). Cooperative effect of surface alloying and laser texturing on tribological performance of lubricated surfaces. Journal of Central South University of Technology, 17(5), 906-910.

[15]. Wu, Z., Xing, Y., Huang, P., & Liu, L. (2017). Tribological properties of dimple-textured titanium alloys under dry sliding contact. Surface and Coatings Technology, 309, 21-28.

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Research Paper

Comparative Analysis of an SI Engine Block Using Al Alloy and Metal Matrix Composite

S. Aravind* , D. Sathish Kumar , G. Vignesh*

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

Aravind, S., Kumar, D. S., and Vignesh, S. (2018). Comparative Analysis of an SI Engine Block Using Al Alloy and Metal Matrix Composite. i-manager’s Journal on Mechanical Engineering, 8(4), 25-30. https://doi.org/10.26634/jme.8.4.14296

Abstract

To increase the life, fuel economy and efficiency of an automobile engine, the researches are being done on the use of different materials. Material selection for an engine depends on various factors. The life of the engine with the material which is capable of giving higher efficiency and fuel economy can be determined with the help of thermal analysis. This paper deals with the thermal analysis of a SI engine block using two different materials; Al alloy 6061 and a metal matrix composite (Al alloy+ 20 % SiC). The engine block was modeled using Pro-E and the thermal analysis was done using ANSYS. The thermal stress, thermal flux and thermal gradient of two different materials have been analyzed. It has been found that the Metal Matrix composite (MMC) has less thermal stress and thermal gradient compared to Al alloy.

References

[1]. Bovo, M. (2014). Principles of heat transfer in Internal Combustion Engines from a Modeling Standpoint (Doctoral Dissertation, Chalmers University of Technology).

[2]. Grosselle, F., Timelli, G., Bonollo, F., Molina, R., & Aluminum, T. (2010). Correlation between microstructure and mechanical properties of Al-Si diecast engine blocks. Metallurgical Science and Technology, 27(2), 2-10.

[3]. Kheder, A. R. I., Marahleh, G. S., & Al-Jamea, D. M. K. (2011). Strengthening of Aluminum by SiC, Al₂O₃ and MgO. Jordan Journal of Mechanical & Industrial Engineering, 5(6), 533-541.

[4]. Kumar, G. V., Rao, C. S. P., Selvaraj, N., & Bhagyashekar, M. S. (2010). Studies on Al 6061-SiC and Al 7075-Al₂O₃ Metal Matrix Composites. Journal of Minerals and Materials Characterization and Engineering, 9(01), 43-55.

[5]. Leard, B., Linn, J., & McConnell, V. (2017). Fuel prices, new vehicle fuel economy, and implications for attribute-based standards. Journal of the Association of Environmental and Resource Economists, 4(3), 659-700.

[6]. Lenny, J. (2011). Replacing the cast iron liners for Aluminum engine cylinder blocks: A comparative assessment of potential candidates (Masters Thesis, Rensselaer Polytechnic Institute Hartford, Connecticut).

[7]. Mon, T. T., Mamat, R., & Iaeng, N. K. (2011, July). Thermal analysis of SI Engine using simplified finite element model. In Proceedings of the World Congress on Engineering (Vol. 3, pp. 6-8).

[8]. Navthar, R. R., & Narwade, P. A. (2012). Design and analysis of Cylinder and Cylinder head of 4-stroke SI Engine for weight reduction. International Journal of Engineering Science and Technology, 4(03), 847-853.

[9]. Prabhala, S. K., & Kumar, K. S. R. (2012). Design and weight optimization of IC engine. International Journal of Advanced Engineering Research and Studies (IJAERS), 2(1), 56-58.

[10]. Singh, R., Sharma, Y., & Sharma, V. (2014). Examine of mechanical properties of Al 6061/SiC Metal Matrix Composites. International Journal for Research Publication & Seminar, 5(3).

[11]. Vinoth, M. A., Arun, L. R., & Patil, B. (2014). The fabrication process and mechanical characterization of pure Al-Si MMC's for engine applications, International Journal of Innovative Research in Science, Engineering and Technology, 3(6), 13514-13521.

[12]. Ye, H. (2003). An overview of the development of Al-Si-alloy based material for engine applications. Journal of Materials Engineering and Performance, 12(3), 288-297.

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Research Paper

Reducing Chips and Scratches on Closures of a Car Assembly Line

S. Balakumar* , Milon Selvam Dennison, Nelson A. J. R*

, Postgraduate, Department of Mechanical Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India.

Adjunct Professor, Department of Mechanical Engineering, Faculty of Engineering at Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Balakumar, S., Dennison, M. S., and Nelson, A. J. R. (2018). Reducing Chips and Scratches on Closures of a Car Assembly Line. i-manager’s Journal on Mechanical Engineering, 8(4), 31-38. https://doi.org/10.26634/jme.8.4.14336

Abstract

An automotive assembly facility has recently been experiencing quality issues in assembly and repair shop as a result of new model introduction. Since the current model start-up, the assembly process has been the major area for the concerns related to paint issues. This study attempted to address and nullify the quality issue of chips and scratches on closures of a car. The target of this paper is to diminish the revamp, for example chips and scratches which are made in the car mechanical production system. To outline an imperfection free arrangement of an automotive and legitimize the upgrades with few metrics, this study was done. The quantity of assembly stations inside the plant was precisely watched. The gathering procedures examined for the layout were current vehicle development and the basic to quality variables. The essential aspects of lean taken here were disposing of non-value added exercises like transit wastes, lessening work in advance stock, to maintain a strategic distance from the rework and repaint. Distinctive methodologies and tools were utilized to decrease the chips and scratches made amid the assembly process, as to the changes made there was diminishment of chips and scratches.

References

[1]. Bellisario, D., Quadrini, F., & Santo, L. (2012). Study and characterization of automotive coating repairs. International Journal of Modern Manufacturing Technologies, 4, 21-28.

[2]. Funston, S. B. (2013). Lean quality: Application of lean tools to non-manufacturing, transactional office environments in the medical device industry. California State University, Dominguez Hills.

[3]. Harrington, H. J. (2016). Cause-and-Effect Diagram. In The Innovation Tools Handbook (Vol. 2, pp. 73-82). Productivity Press.

[4]. Hawken, P., Lovins, A. B., & Lovins, L. H. (2013). Natural Capitalism: The Next Industrial Revolution. Routledge.

[5]. Jain, V., Sangaiah, A. K., Sakhuja, S., Thoduka, N., & Aggarwal, R. (2018). Supplier selection using fuzzy AHP and TOPSIS: A case study in the Indian automotive industry. Neural Computing and Applications, 29(7), 555-564.

[6]. Kale, D. (2017). Sources of innovation and technology capability development in the Indian automobile industry. Institutions and Economies, 121-150.

[7]. Michalos, G., Makris, S., Papakostas, N., Mourtzis, D., & Chr yssolouris, G. (2010). Automotive assembly technologies review: Challenges and outlook for a flexible and adaptive approach. CIRP Journal of Manufacturing Science and Technology, 2(2), 81-91.

[8]. Nieuwenhuis, P., & Katsifou, E. (2015). More sustainable automotive production through understanding decoupling points in leagile manufacturing. Journal of Cleaner Production, 95, 232-241.

[9]. Oumer, A., Atnaw, S. M., Cheng, J. K., & Singh, L. (2016, November). Improving energy efficiency for the vehicle assembly industry: A discrete event simulation approach. In IOP Conference Series: Materials Science and Engineering, (Vol. 160, No. 1, p. 012069). IOP Publishing.

[10]. Suratwala, T. I., Miller, P. E., Feit, M. D., & Menapace, J. A. (2008). Scratch forensics. Optics & Photonics News: Optical Engineering Column (Vol. 19, No. 9, pp. 12-15). 19(LLNL-JRNL-405503).

[11]. Tiwari, R. (2017). Frugality in Indian Context: What Makes India a Lead Market for Affordable Excellence? In Lead Market India (pp. 37-61). Springer, Cham.

[12]. Tukker, A., & Tischner, U. (Eds.). (2017). New Business for Old Europe: Product-service Development, Competitiveness and Sustainability. Routledge.

[13]. Wang, C. H., & Duong, C. N. (2015). Bonded Joints and Repairs to Composite Airframe Structures. Academic Press.

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Research Paper

Multi-Objective Optimization of End Milling Process Parameters in Machining of EN 31 Steel: Application of AHP Embedded With VIKOR and WASPAS Methods

Venkata Ajay Kumar. G* , D. Vishnu Vardhan Reddy, Nakka Nagaraju*

*-*** Assistant Professor, Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, (Autonomous), Rajampet, Andhra Pradesh, India.

Kumar, G. V. A., Reddy, D. V., and Nagaraju, N. (2018). Multi-Objective Optimization of End Milling Process Parameters in Machining of EN 31 Steel: Application of AHP Embedded with VIKOR and WASPAS Methods. i-manager’s Journal on Mechanical Engineering, 8(4), 39-46. https://doi.org/10.26634/jme.8.4.14676

Abstract

The objective of the current work is to optimize the end milling process machining parameters in end milling of EN 31 steel. Surface Roughness (SR), Dimensional Deviation (DD) and Material Removal Rate (MRR) are some of the crucial findings in this work. In this work, the weights are calculated by using numerical tool AHP (Analytic Hierarchy Process) method, and VIKOR(Vise Kriterijumska Optimizacija Kompromisno Resenje) and WASPAS (Weighted Aggregated Sum Product Assessment) methods are used in analyzing optimum machining parameters. These techniques are utilized for multi-objective optimization which minimizes SR, DD and maximizes the MRR. Results showed the effectiveness of VIKOR approach as well as WASPAS method, both methods are appropriate to any metal cutting operations on superior with multi-number of objectives concurrently.

References

[1]. Alauddin, M., El Baradie, M. A., & Hashmi, M. S. J. (1995). Computer-aided analysis of a surface-roughness model for end milling. Journal of Materials Processing Technology, 55(2), 123-127.

[2]. Bhuyan, R., & Routara, B. (2016). Optimization the machining parameters by using VIKOR and Entropy Weight method during EDM process of Al–18% SiCp Metal matrix composite. Decision Science Letters, 5(2), 269-282.

[3]. Chakraborty, S., Zavadskas, E. K., & Antucheviciene, J. (2015). Applications of WASPAS Method as a Multi-Criteria Decision-Making Tool. Economic Computation & Economic Cybernetics Studies & Research, 49(1), 5-22.

[4]. Kadirgama, K., Noor, M. M., & Rahman, M. M. (2008). Optimization of surface roughness in end milling on mould aluminium alloys (AA6061-T6) using response surface method and radian basis function network. Jordan Journal of Mechanical and Industrial Engineering, 2(4), 209- 214.

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[6]. Majumdar, G., Biswas, N., Pramanik, A., Sen, R. S., & Chakraborty, M. (2017). Optimization of mass deposition and surface roughness for ternary Ni-Cu-P electroless coating using VIKOR method. Advances in Materials and Processing Technologies, 3(2), 186-195.

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

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