i-manager Publications

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 20 Issue 1

Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection

Most Cited

Volume 14 Issue 4 May - July 2019

Research Paper

Complex Variable Method to Predict Aerodynamics of Arbitrary Shape Space Debris

Sayavur I. Bakhtiyarov* , Mostafa Hassanalian**

*_** Department of Mechanical Engineering, New Mexico Institute of Mining and Technology, Socorro, NM, USA.

Bakhtiyarov, S. I., and Hassanalian, M. (2019). Complex Variable Method to Predict Aerodynamics of Arbitrary Shaped space Debris. i-manager’s Journal on Future Engineering and Technology, 14(4), 1-4. https://doi.org/10.26634/jfet.14.4.16074

Abstract

The objective of this research project is to develop a novel engineering technique to predict any aerodynamics of arbitrary shape space debris in the Earth's atmosphere produced during the collisional breakup. The linear size characteristics of the cross-section of arbitrary shape space debrisare determined by using a conform representation method. A model of superposition of the molecular and turbulent viscosities was used to describe the turbulent flow of air. Using a complex variable method “linearization of single-bonded area" a universal formula for velocity of arbitrary shape space debrisis derived. This technique allows describing the aerodynamics of the space debris of various shapes, sizes and masses in the Earth's atmosphere.

References

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[6]. Liou, J. C., & Johnson, N. L. (2009). A sensitivity study of the effectiveness of active debris removal in LEO. Acta Astronautica, 64(2-3), 236-243.

[7]. Loitsyansky, L. G. (1973). Mechanics of Fluids and Gases (pp.104-118). Moscow: Nauka.

[8]. Mark, C. P. & Kamath, P. (2019). Review of active space debris removal methods, Space Policy, 47,194- 206.

[9]. Pelton, J. N. (2013). Space Debris and Other Threats from Outer Space (pp.17-23). New York: Springer.

[10]. Pelton, J. N. (2015). New solutions for the space debris problem, Cham: Springer.

[11]. Polya G. & Szego G. (1962). Izoperimetric Inequalities in Mathematical Physics (pp.64-72). Moscow, Russia: Nauka.

[12]. Schiller, L. (1936). Fluids Flow in Pipe (pp.96-106). ONTI-NKTp, Moscow, Russia: Nauka.

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Research Paper

Performance Analysis on the Effect of Different Electrolytes During Glass Micro Drilling Operation Using ECDM

Viveksheel Rajput* , Mudimallana Goud, Narendra Mohan Suri*

*-*** Production and Industrial Engineering, PEC, Chandigarh, India.

Rajput, V., Goud, M., and Suri, N. M. (2019). Performance Analysis on the Effect of Different Electrolytes During Glass Micro Drilling Operation Using ECDM. i-manager’s Journal on Future Engineering and Technology, 14(4), 5-13. https://doi.org/10.26634/jfet.14.4.15788

Abstract

Electrochemical discharge machining (ECDM) is a proven technology for machining glass work materials with effective material removal rate. In the ECDM process, electrolyte selection plays a pivotal role in controlling the gas film stability and other machining features owing to their discrete electrochemical properties. This present article investigates the effect of three different electrolytes viz. NaOH, KOH, and NaCl on the removal rate of material by using Taguchi's L9 Orthogonal array design. Electrolyte type, its concentration, and applied voltage were chosen as process parameters. Response measurements were analyzed through the S/N ratio to obtain parametric optimization for maximum removal rate of material or Material Removal Rate (MRR) values. Results revealed that the electrolyte type is the most significant parameter influencing the removal rate of material with a percentage contribution of 60.83% followed by applied voltage and electrolyte concentration. The optimum values of parameters for maximum MRR are found to be A3B1C3 i.e., (50V, NaOH, 25 wt %).

References

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[2]. Behroozfar, A., & Razfar, M. R. (2015). Experimental and Numerical Study of Material Removal in Electrochemical Discharge Machining (ECDM), Materials and Manufacturing Processes, 31(4), 495-503.

[3]. Bhattacharyya, B., Doloi, B. N., & Sorkhel, S. K. (1999). Experimental investigations into electrochemical discharge machining (ECDM) of non-conductive ceramic materials. Journal of Materials Processing Technology, 95(1-3), 145-154.

[4]. Cao, X. D., Kim, B. H., & Chu, C. N. (2009). Microstructuring of glass with features less than 100 μm by electrochemical discharge machining, Precision Engineering, 33(4), 459-465.

[5]. Craig, V. S. J., Ninham, B. W., & Pashley, R. M. (1993). The effect of electrolytes on bubble coalescence in water, Journal of Physical Chemistry, 97, 10192–10197.

[6]. Drozda, T. J., & Wick, C. (1983). Non-traditional machining–book. In Tool and Manufacturing Engineers Handbook. Dearborn, MI: Society of Manufacturing Engineers.

[7]. El-Haddad, R., & Wüthrich, R. (2010). A mechanistic model of the gas film dynamics during the electrochemical discharge phenomenon. Journal of Applied Electrochemistr y, 40(10), 1853-1858.

[8]. Fascio, V., Wuthrich, R., Viquerat, D., & Langen, H. (1999). 3D micro structuring of glass using electrochemical discharge machining ECDM, In International Symposium on Micro Mechatronics and Human Science (pp. 179-183).

[9]. Gautam, N., & Jain, V. K. (1998). Experimental investigations into ECSD process using various tool kinematics, International Journal of Machine Tools and Manufacture, 38(1-2), 15-27.

[10]. Goud, M. M., & Sharma, A. K. (2017). On performance studies during micromachining of quartz glass using electrochemical discharge machining, Journal of Mechanical Science and Technology, 31(3), 1365-1372.

[11]. Gupta, P. K., Dvivedi, A., & Kumar, P. (2015). Effect of electrolytes on quality characteristics of glass during ECDM, Key Engineering Materials, 658, 141-145.

[12]. Guzzo, P. L., Shinohara, A. H., & Raslan, A. A. (2004). A comparative study on ultrasonic machining of hard and brittle materials. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 26(1), 56-61.

[13]. Harugade, M. L., & Waigaonkar, S. D. (2018). Effect of Different Electrolytes on Material Removal Rate, Diameter of Hole, and Spark in Electrochemical Discharge Machining. In Advances in Manufacturing (pp. 427-437). Cham: Springer.

[14]. Hossain, A., Nukman, Y., Hassan, M. A., Harizam, M. Z., Sifullah, A. M., & Parandoush, P. A. (2016). Fuzzy Logic- Based Prediction Model for Kerf Width in Laser Beam Machining, Materials and Manufacturing Processes, 31(5), 679-684.

[15]. Jain, V. K., Dixit, P. M., & Pandey, P. M. (1999). On the analysis of the electrochemical spark machining process, International Journal of Machine Tools and Manufacture, 39(1), 165-186.

[16]. Jawalkar, C. S., Sharma, A. K., & K, Pradeep. (2012). Micromachining with ECDM: research potentials and experimental investigations, International Journal of Mechanical and Mechatronics Engineering, 6(1), 340- 345.

[17]. Jawalkar, C. S., Sharma, A. K., & Kumar, P. (2014). Investigations on performance of ECDM process using NaOH and NaNO₃ electrolytes while micro machining soda lime glass, International Journal Manufacturing Technology and Management, 28(1-3), 80-93.

[18]. Kohls, J.B. (1984). Ultrasonic manufacturing process: ultrasonic machining (USM) and ultrasonic impact grinding (USIG), The Carbide and Tool Journal,16(12), 12- 15.

[19]. Kumar, S., & Dvivedi, A. (2019). On effect of tool rotation on performance of rotary tool micro-ultrasonic machining. Materials and Manufacturing Processes, 34(5), 475-486.

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[21]. Langen, H., Fascio, V., Wuthrich, R., & Viquerat, D. (2002). Three-dimensional structuring of Pyrex glass devices—trajectory control, In Proceedings of the International Conference European Society for Precision Engineering and Nanotechnology (EUSPEN) 2, (Eindhoven) pp. 435-438.

[22]. Lijo, P., & Hiremath, S. S. (2014). Characterization of micro- channels in electrochemical discharge machining process, Applied Mechanics and Materials, 490-491, 238-242.

[23]. Li, X., Abe, T., Liu, Y., & Esashi, M. (2002). Fabrication of high-density electrical feed-throughs by deepreactive- ion etching of Pyrex glass. Journal of Microelectromechanical Systems, 11(6), 625-630.

[24]. Maillard, P., Despont, B., Bleuler, H., & Wuthrich, R. (2007). Geometrical characterization of micro-holes drilled in glass by gravity-feed with Spark Assisted Chemical Engraving (SACE), Journal of Micromechanics and Microengineering, 17, 1343-9.

[25]. McGeough, J. A., Khayry, A. B. M., Munro, W., & Crookall, J. R. (1983). Theoretical and experimental investigation of the relative effects of spark erosion & electrochemical dissolution in electrochemical arc machining, Annals of the CIRP, 32(1), 113-118.

[26]. Nikumb, S., Chen, Q., Li, C., Reshef, H., Zheng, H. Y., Qiu, H., & Low, D., (2005). Precision glass machining drilling and profile cutting by short pulse lasers, Thin Solid Films, 477(1-2), 216-21.

[27]. Rajput, V., Goud, M. M., & Suri, N. M. (2019). Experimental investigation to improve the removal rate of material in ECDM process by utilizing different tool electrode shapes, International Journal of Technical Innovation in Modern Engineering & Science (IJTIMES), 5(2), 333–341.

[28]. Sathisha, N., Somashekhar, S. H., Shivakumar, J., & Badiger, R. I. (2013). Parametric optimization of electro chemical spark machining using taguchi based grey relational analysis, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 46-52.

[29]. Somashekhar, S. H., Sadashivappa, K., Vrushabhendrappa, Y., & Singaperumal, M.A. (2000). Modern machining method for cutting micro-profiles on non conducting materials, In Proceedings of the OPTO'2000, Special Session on Innovative Products, Erfurt, Germany (pp. 9-11).

[30]. Tölke, R., Bieberle-Hütter, A., Evans, A., Rupp, J. L. M., & Gauckler, L. J. (2012). Processing of Foturan® glass ceramic substrates for micro-solid oxide fuel cells. Journal of the European Ceramic Society, 32(12), 3229-3238.

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[32]. Vogt, H. (1999). The anode effect as a fluid dynamic problem. Journal of Applied Electrochemistry, 29(2), 137-145. https://doi.org/10.1023/A:1003477004486

[33]. Wüthrich, R., Fujisaki, K., Couthy, P., Hof, L. A., & Bleuler, H. (2005). Spark assisted chemical engraving (SACE) in microfactory. Journal of Micromechanics and Microengineering, 15(10), 276-280.

[34]. Wüthrich, R., & Hof, L. A., (2006). The gas film in spark assisted chemical engraving (SACE) - A key element for micro-machining applications, International Journal of Machine Tools and Manufacture, 46(7-8), 828-835.

[35]. Wüthrich, R., Spaelter, U., Wu, Y., & Bleuler, H. (2006). A systematic characterization method for gravity-feed micro-hole drilling in glass with spark assisted chemical engraving (SACE). Journal of Micromechanics and Microengineering, 16(9), 1891-1896.

[36]. Wüthrich, R. (2009). Micromachining using electro chemical discharge phenomenon-fundamentals and application of spark assisted chemical engraving, William Oxford: Andrew Publishing.

[37]. Zhang, C., Rentsch, R., & Brinksmeier, E. (2005). Advances in micro ultrasonic assisted lapping of microstructures in hard–brittle materials: A brief review and outlook. International Journal of Machine Tools and Manufacture, 45(7-8), 881-890.

[38]. Zheng, Z. P., Cheng, W. H., Huang, F. Y., & Yan, B. H. (2007). 3D microstructuring of Pyrex glass using the electrochemical discharge machining process. Journal of Micromechanics and Microengineering, 17(5), 960-6.

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Research Paper

Assessment of Impact of Bauxite Mining on Environment

Prashant Hindurao Kamble* , Shrikant M. Bhosale**

*-** Environmental Science and Technology, Department of Technology, Shivaji University, Kolhapur, Maharashtra, India.

Kamble, P. H., and Bhosale, S.M. (2019). Assessment of Impact of Bauxite Mining on Environment. i-manager’s Journal on Future Engineering and Technology, 14(4), 14-21. https://doi.org/10.26634/jfet.14.4.16069

Abstract

Kolhapur district seems to be favorable place in regard to the availability of some of the important minerals. Manganese and Iron ores are found in the southern area of Kolhapur district. Another important mineral found in this district is bauxite. The present research paper deals with the assessment of possible environmental impacts due to the proposed bauxite mining in the area of Shahuwadi of Kolhapur district of Maharashtra. Exploitation of minerals from the earth surfaces through mining activities causes ecological and environmental instability. Impact Assessment Studies are used to quantify impacts of mining activities within the zone of impact. To prevent adverse impacts of mining, environmental management plan is prepared through the findings of Impact Assessment studies. Though mining initially provided employment opportunities for few inhabitants and generated some revenue to Government, it would last only for a small period. However, the damages caused to the regional biodiversity as a result of the changed land use would remain permanent.

References

[1]. Aston, S. R., Thornton, I., Webb, J. S., Milford. B. L., & Purves, J. B. (1975). Arsenic in stream sediments and water of southwest England. Science of the Total Environment, 4(4), 347- 358.

[2]. Axtmann, E. V., & Luoma, S. N. (1991). Large-scale distribution in the fine-grained sediment of Clark Fork River, Montana, USA. Applied Geochemistry, 6(1), 75-88.

[3]. Curtis, W. (1973). Effects of strip mining on the hydrology of small mountain watersheds in Appalachia. In Ecology And Reclamation of Devastated Land. (Eds. Hutrick, R and Davis, G) (pp 145-155). New York: Gordon and Breach.

[4]. Davis, A., Olsen, R. L., & Walker, D. R. (1991). Distribution of metals between water and entrained sediments in streams impacted by acid mine discharge, Clear Creek, Colorado. Applied Geochemistry, 6(3), 333- 348.

[5]. Driscoll, C. T., Baker, J. P., Bisogni, J. J., & Schofield, C. R. (1983). Aluminium speciation and its effects on fish in dilute acidified waters. Nature, 284, 161-163.

[6]. Hall, R. J., & Likens, G. E. (1986). Experimental acidification of a stream tributary to Hubbard Brook. Duluth, MN: U.S. Environmental Protection Agency, Environmental Research Laboratory.

[7]. Hall, R. J., Driscoll, C.T ., Likens, G. E., & Pratt, J. M. (1985). Physical, chemical and biological consequences of episodic aluminium additions to a stream ecosystem. Limnology and Oceanography, 30(1), 212-220.

[8]. Johnson, C. A. (1986). The regulation of trace elements concentrations in river and estuarine water contaminated with acid mine drainage: the adsorption of Cu and Zn on amorphous Fe oxyhydroxides. Geochimica et Cosmochimica Acta, 50(11), 2433-2438.

[9]. Johnson, N. M., Driscoll, C. T., Eaton, J. S., Likens, G. E. & McDowell, W. H. (1981). Acid rain dissolved aluminium and chemical weathering at the Hubbard Brook Experimental Forest, New Hampshire, Geochimica et Cosmochimica Acta, 45(9), 1421-1437.

[10]. Kamble, P. H., & Bhosale, S. (2019). Environmental impact of bauxite mining: A review. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 7(1), 86-90.

[11] . Moran, R. E., & Wentz, D. A. (1974). Effects of metal-mine drainage on water quality in selected areas of Colorado, 1972-73, Colorado Water Resources Circular No. 25. Denver: Colorado Water Conservation Board.

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[13]. Theobald, P. K., Lakin, H. W., & Hawkins, D.B. (1963). The precipitation of aluminium, iron and manganese at the junction of Deer Creek with the Snake River in summit County, Colorado. Geochimica et Cosmochimica Acta, 27 (2), 121-132.

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Research Paper

Investigation of Mechanical Properties by Optimizing process Parameters of FSW for AZ31B Magnesium Alloy

Gopal Rana* , Ankush, Divya*

- Department of Mechanical Engineering, Lovely Professional University, Phagwara (Punjab), India.

Department of Mechanical Engineering, NITTTR, Punjab, India.

Rana, G., Gulati, P.,and Banwait, S. S. (2019). Investigation of Mechanical Properties by Optimizing Process Parameters of FSW for AZ31B Magnesium Alloy. i-manager’s Journal on Future Engineering and Technology, 14(4), 22-32. https://doi.org/10.26634/jfet.14.4.14828

Abstract

In the present experimental work, the friction stir welding was performed on AZ31B magnesium alloy. Four process parameters selected for the optimization of were rotational speed, weld speed, plunge depth and tool shape. Taguchi method was used to design the set of experiment that were carried out for the optimization of welding. Aforementioned four parameters, at four level each and L16 orthogonal array was used. The response characteristics selected was ultimate tensile strength and Taguchi's larger is better approach was used for calculating signal to noise ratio. The experiments were carried out according the Taguchi design of experiment made in Minitab 17 Software. Using signal to noise ratio, the optimum level of each parameter was found. Signal to noise ratio indicate the most influencing parameter for optimum tensile strength was weld Speed followed by plunge Depth and rotational Speed. The tool Pin profile has the least effect on the response characteristics. The effect of all these parameters on the tensile strength was validated by the ANOVA. Further, the contribution of each parameter was found by using ANOVA.

References

[1]. Arora, K., Pandey, S., Schaper, M. & Kumar, R. (2010). Effect of process parameters on friction stir welding of aluminum alloy 2219-T87. The International Journal of Advanced Manufacturing Technology, 50(9-12), 941- 952.

[2]. Babu, S., Pavithran, S., Nithin, M. & Parameshwaran, B. (2014). Effect of tool shoulder diameter during friction stir processing of AZ31B alloy sheets of various thicknesses. Procedia Engineering, 97, 800-809.

[3]. Bruni, C., Forcellese, A., Gabrielli, F. & Simoncini, M. (2011). Post-welding formability of AZ31 magnesium alloy. Materials & Design, 32(5), 2988-2991.

[4]. Chen, Y. & Nakata, K. (2009). Effect of tool geometry on microstructure and mechanical properties of friction stir lap welded magnesium alloy and steel. Materials & Design, 30(9), 3913-3919.

[5]. Chen, J., Ueji, R., & Fujii, H. (2015). Double-sided friction-stir welding of magnesium alloy with concave–convex tools for texture control. Materials & Design, 76, 181-189.

[6]. Chowdhury, S., Chen, D., Bhole, S., Cao, X. & Wanjara, P. (2012). Lap shear strength and fatigue life of friction stir spot welded AZ31 magnesium and 5754 aluminum alloys. Materials Science and Engineering: A, 556, 500-509.

[7]. Elanchezhian, C., Ramnath, B., Venkatesan, P., Sathish, S., Vignesh, T., Siddharth, R., Vinay, B. & Gopinath, K. (2014). Parameter optimization of friction stir welding of AA8011-6062 using mathematical method. Procedia Engineering, 97, 775-782.

[8]. Gharacheh, M. A., Kokabi, A., Daneshi, G., Shalchi, B. & Sarrafi, R. (2006). The influence of the ratio of “rotational speed/traverse speed” (ω/v) on mechanical properties of AZ31 friction stir welds. International Journal of Machine Tools and Manufacture, 46(15), 1983-1987.

[9]. Gupta, A., Singh, P., Gulati, P. & Shukla, D. (2015). Effect of Tool rotation speed and feed rate on the formation of tunnel defect in Friction Stir Processing of AZ31 Magnesium alloy. Materials Today: Proceedings, 2(4-5), 3463-3470.

[10]. Jayaraman, M., Siva subramanian, R. , Balasubramanian, V. & Lakshminarayanan, A. (2009). Optimization of process parameters for friction stir welding of cast aluminum alloy A319 by Taguchi method. Journal of Scientific & Industrial Research, 68(1), 36-43.

[11]. Karthikeyan, P., Thiagarajan, D. & Mahadevan, K. (2014). Study of relation between welding and hardening parameters of friction stir welded aluminium 2024 Alloy. Procedia Engineering, 97, 505-512.

[12]. Koilraj, M., Sundareswaran, V., Vijayan, S. & Koteswara Rao, S. (2012). Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique. Materials & Design, 42, 1-7.

[13]. Lakshminarayanan, A., Malarvizhi, S., & Balasubramanian, V. (2011). Developing friction stir welding window for AA2219 aluminium alloy. Transactions of Nonferrous Metals Society of China, 21(11), 2339- 2347.

[14]. Mishra, R., & Murray, W. (2007). Hand book of friction st stir welding and processing (1 Ed.). ASM International.

[15]. Mohammadi, J., Behnamian, Y., Mostafaei, A. & Gerlich, A. (2015). Tool geometry, rotation and travel speeds effects on the properties of dissimilar magnesium/aluminum friction stir welded lap joints. Materials & Design, 75, 95-112.

[16]. Padmanaban, G. & Balasubramanian, V. (2009). Selection of FSW tool pin profile, shoulder diameter and material for joining AZ31B magnesium alloy – An experimental approach. Materials & Design, 30(7), 2647- 2656.

[17]. Sahu, P. & Pal, S. (2015). Multi-response optimization of process parameters in friction stir welded AM20 magnesium alloy by Taguchi grey relational analysis. Journal of Magnesium and Alloys, 3(1), 36-46.

[18]. Shojaeefard, M., Akbari, M., Khalkhali, A., Asadi, P. & Parivar, A. (2014). Optimization of microstructural and mechanical properties of friction stir welding using the cellular automaton and Taguchi method. Materials & Design, 64, 660-666.

[19]. Tajiri, A., Uematsu, Y., Kakiuchi, T., Tozaki, Y., Suzuki, Y. & Afrinaldi, A. (2015). Effect of friction stir processing conditions on fatigue behavior and texture development in A356-T6 cast aluminum alloy. International Journal of Fatigue, 80, 192-202.

[20]. Tutar, M., Aydin, H., Yuce, C., Yavuz, N. & Bayram, A. (2014). The optimisation of process parameters for friction stir spot-welded AA3003-H12 aluminium alloy using a Taguchi orthogonal array. Materials & Design, 63, 789- 797.

[21]. Ugender, S., Kumar, A. & Reddy, A. (2014). Microstructure and mechanical properties of AZ31B magnesium alloy by friction stir welding. Procedia Materials Science, 6, 1600-1609.

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Research Paper

Study of Transient Characteristics of Belt Conveyor by Lumped Mass Method

Sanjay G. Sakharwade* , Shubhrata Nagpal**

*_** Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sakharwade, S. G., and Nagpal, S. (2019). Study of Transient Characteristics of Belt Conveyor by Lumped Mass Method. i-manager’s Journal on Future Engineering and Technology, 14(4),33-38. https://doi.org/10.26634/jfet.14.4.15368

Abstract

Belt Conveyor system is most preferred and cost efficient bulk material handling system. Rubberized flat belt is the main and the costliest component of belt conveyor system. It greatly affects the overall performance of whole system. For large capacity and long distance conveyor, dynamic characteristics plays vital role. In this paper viscoelastic properties of belts are simplified as a series lump mass and their equation of motion is established by Lagrange approach. Inclined belt conveyor for fully loaded condition is studied as a five degree of freedom problem and its transient performance analyzed by simulating 2^nd order differential equations with Simulink. Conveyor displacement, velocity, acceleration and dynamic tension during staring transient process reveals the nonlinear viscoelastic characteristics of conveyor belt. Staring pull is requiring being optimum in view of starting belt stresses and safety of drive motor. Output data helps to improve stability and lower down the factor of safety of belt conveyor system.

References

[1]. Bureau of Indian Standards. (2000). Selection and Design of Belt Conveyors - Code of Practice. IS: 11592: 2000. New Delhi, India: BIS.

[2]. Conveyor Equipment Manufacturers Association. (1997). Belt conveyors for bulk materials, (5^th Ed). USA : CEMA

[3]. Deutsches Institut für Normun 22101: (2011). Continuous conveyors - Belt conveyors for loose bulk materials - Basis for calculation and dimensioning. Berlin, Germany.

[4]. Harrison, A. (1998). Modelling belt tension around a drive drum. Bulk Solids Handling, 18(1), 75-79.

[5]. He, D., Pang, Y., & Lodewijks, G. (2016a). Belt conveyor dynamics in transient operation for a speed control. International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, 10(7), 828-833.

[6]. He, D., Pang, Y., & Lodewijks, G. (2016b). Determination of acceleration for belt conveyor speed control in transient operation. International Journal of Engineering and Technology, 8 (3), 206-211.

[7]. Lakes, R. & Lakes, R. S. (2009). Viscoelastic Materials. New York, USA: Cambridge University Press.

[8]. Lodewijks, G. (2002). Two decades dynamics of belt conveyor systems. Bulk Solids Handling, 22(2), 124-132.

[9]. Ma, H. W., Li, D. S., Zhang, X. H., & Mao, Q. H. (2013). Dynamic simulation analysis of belt rupture for belt conveyor. Applied Mechanics and Materials, 313-314, 1120-1124.

[10]. Manjgo, M., Piric, E., Vuherer, T., & Burzic, M., (2018). Determination of mechanical properties of composite materials-the rubber conveyor belt with cartridges made of polyester and polyamide. Annals of the Faculty of Engineering Hunedoara - International Journal of Engineering, 16(1), 141-144.

[11]. Mulani, I.G., (2012). Engineering Science And Application Design For Belt Conveyors. (3rd Ed). Pune, India: Saurabh Creation

[12]. Rao, S. S. (2007). Vibration of continuous systems. New Jersey, USA : John Wiley & Sons, Inc.,

[13]. Tsalidis, S. S., & Dentsoras, A. J. (1997). Application of design parameters space search for belt conveyor design. Engineering Applications of Artificial Intelligence, 10(6), 617-629.

[14]. Woodcock, C. R., & Mason, J. S. (2012). Bulk solids handling: An introduction to the practice and technology. Berlin, Germany: Springer Science & Business Media.

[15]. Yang, G. (2014). Dynamics analysis and modeling of rubber belt in large mine belt conveyors. Sensors & Transducers, 181(10), 210-218.

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Research Paper

Multi - Objective Optimization of Process Parameters in Abrasive Water Jet Machining by using VIKOR

S.Siva Sankar* , M. Vijay Kumar Reddy, R. Sudhakara Pandian*

- Department of Mechanical Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Chittoor, Andhra Pradesh, India.

School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India.

Sankar, S. S., Reddy, M. V. K.,and Pandian, R. S. (2019). Multi - Objective Optimization of Process Parameters in Abrasive Water Jet Machining by using Vikor. i-manager’s Journal on Future Engineering and Technology, 14(4), 39-46. https://doi.org/10.26634/jfet.14.4.15493

Abstract

Abrasive water jet machining (AWJM) process is one of the unconventional machining processes used in many industrial applications. Abrasive water jet machining process withstand very high operating pressures and also the flow of abrasive particles are at very high water pressure is made to remove material from work surface by erosion process. In AWJM process pure water and abrasive particles such are Si0₂, beads of glass; aluminum oxide and silicon carbide are majorly used. In this work, optimization of process parameters on the material removal rate, kerf width and surface roughness of Al6082 are done by using AWJ machining process. The experiments were conducted according to Taguchi Experimental design using four factors each at three levels to determine the effect of output responses like material removal rate, surface roughness and kerf width. Finally, multi-criteria optimization and compromise solution (VIKOR) algorithm has been applied for multi-objective optimization of the responses of Electrical Discharge Machining (EDM) process on Al6082 alloy.

References

[1]. Anuraag, G. P., and Reddy, M. V. K., (2016). Studies on the Material Removal Rate of Al-SiC Composites Machined by Powder- Mixed EDM Technique, International Journal of Engineering and Technology,8(2),829-836.

[2]. Jurkovic, Z., Perinic, M., Maricic, S., Sekulic, M., & Mandic, V. (2012). Application of modelling and optimization methods in abrasive water jet machining. Journal of Trends in the Development of Machinery and Associated Technology, 16(1), 59-62.

[3]. Kolahan, F., and Khajavi, A. H. (2009). Modeling and Optimization of Abrasive Waterjet Parameters using Regression Analysis. World Academy of Science, Engineering and Technology. 59, 488-493.

[4]. Kumar, C.R.S., & Kumar, P. (2017). Experimental investigation to determine effect of various parameters in abrasive water jet machine by using TOPSIS. International Journal of Advance Engineering and Research Development, 4(8), 502-511.

[5]. Ma, C., & Deam, R. T. (2006). A correlation for predicting the kerf profile from abrasive water jet cutting. Experimental Thermal and Fluid Science, 30(4), 337-343.

[6]. Rahman, M. M., Khan, M. A. R., Kadirgama, K., Noor, M. M., & Bakar, R. A. (2011). Experimental investigation into electrical discharge machining of stainless steel 304. Journal of Applied Sciences, 11(3), 549-554.

[7]. Reddy, M. V. K., (2014). Use of Artificial Neural Networks to Investigate the Surface Roughness in CNC Milling Machine. International Journal of Science and Research (IJSR), 3(5).

[8]. Reddy, B., Rao, P., Kumar, J., & Reddy, K. (2010). Parametric study of electrical discharge machining of AISI 304 stainless steel. International Journal of Engineering Science and Technology, 2(8), 3535-3550.

[9]. Selvan, M. C. P., & Raju, N. M. S. (2011). Assessment of process parameters in Abrasive waterjet cutting of Stainless Steel. International Journal of Advances in Engineering & Technology, 1(3), 34.

[10]. Singh, S., Maheshwari, S., & Pandey, P. C. (2004). Some investigations into the electric discharge machining of hardened tool steel using different electrode materials. Journal of Materials Processing Technology, 149(1-3), 272-277.

[11]. Thakkar, K. H., Prajapati, V. M., & Thakkar, S. A. (2013). A machinability study of mild steel using abrasive water jet machining technology. Journal of Engineering Research and Applications, 3(3), 1063-1066.

[12]. Tomadi S.H., Hassan M.A. and Hamedon Z., (2009). Analysis of the influence of EDM parameters on surface quality, material removal rate and electrode wear of tungsten carbide. In Proceedings of the International Multi Conference of Engineers and Computer Scientists, 2 (pp. 18-20).

[13]. Trivedi, P., Dhanawade, A., & Kumar, S., (2016). An experimental investigation on cutting performance of abrasive water jet machining of austenite steel (AISI 316L). Advances in Materials and Processing Technologies, 1(3- 4), 263-274.

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Effects of Chemical Reaction, Radiation and Aligned Magnetic Field on Unsteady MHD Casson Fluid Flow Past a Moving an Infinite Vertical Plate Through Porous Medium in Presence of Heat Absorption

S. Rama Mohan* , G. Viswanatha reddy, S. V. K. Varma*

*-*** Department of Mathematics, S.V. University, Tirupathi, Andhra Pradesh, India.

Mohan, S.R., Reddy, G.V., and Varma, S. V. K. (2019). Effects of Chemical Reaction, Radiation and Aligned Magnetic Field on Unsteady MHD Casson Fluid Flow Past a Moving an Infinite Vertical Plate Through Porous Medium in Presence of Heat Absorption. i-manager’s Journal on Future Engineering and Technology, 14(4), 47-57. https://doi.org/10.26634/jfet.14.4.14712

Abstract

The present paper studies the effect of aligned magnetic field on an unsteady MHD free convection Casson fluid flow past an infinite plate through porous medium in the presence of thermal radiation and heat absorption. When t*>0, the velocity u*=u₀, and that time, plate temperature and the concentration are raised to T*_w and C*_w and a first order chemical reaction takes place. A uniform magnetic field B₀ is applied in y*-direction. The systems of non-dimensional governing linear partial differential equations are solved analytically by using the Laplace transform technique. The influences of various non-dimensional parameters on the velocity, the temperature, the concentration, the Sherwood numbers, the local Nusselt and the skin friction have been discussed and analyzed through graphs and tables.

References

[1]. Arthur, E. M., Seini, I. Y., & Bortteir, L. B. (2015). Analysis of Casson fluid flow over a vertical porous surface with chemical reaction in the presence of magnetic field. Journal of Applied mathematics and Physics, 3(06), 713- 723.

[2]. Balakrishna, S., Mohan, S. R., Reddy, G. V., & Varma, S. V. K. (2018). Effects of chemical reaction on unsteady MHD casson fluid flow past a moving infinite inclined plate through porous medium. International Journal of Engineering Science and Computing, 8(7), 18658-18666.

[3]. Balakrishna, S., Reddy, G. V., Mohan, S.R., & Varma, S. V. K. (2017). Viscous dissipation and heat source effects on free convective boundary layer slip flow in the presence of induced magnetic field. Applied Mathematics-Elixir International Journal, 105, 46051- 46062.

[4]. Das, M., Mahato, R., & Nandkeolyar, R. (2015). Newtonian heating effect on unsteady hydromagnetic Casson fluid flow past a flat plate with heat and mass transfer. Alexandria Engineering Journal, 54(4), 871-879.

[5]. Dash, R. K., Jayaraman, G., & Mehta, K. N. (2000). Shear augmented dispersion of a solute in a Casson fluid flowing in a conduit. Annals of Biomedical Engineering, 28(4), 373-385.

[6]. Hussanan, A., Salleh, M. Z., Tahar, R. M., & Khan, I. (2014). Unsteady boundary layer flow and heat transfer of a Casson fluid past an oscillating vertical plate with Newtonian heating. PloS one, 9(10), e108763.

[7]. Kirubhashankar, C. K., & Ganesh, S. (2014). Unsteady MHD flow of a Casson fluid in a parallel plate channel with heat and mass transfer of chemical reaction. Indian Journal of Research, 3(2), 101-105.

[8]. Kumar, A. G. V., Varma, S. V. K., & Mohan, R. (2012). Chemical reaction and radiation effects on MHD free convection flow past an exponentially accelerated vertical plate with variable temperature and variable mass diffusion. Annals Faculty Engineering Hunedoara- International Journal of Engineering, 10(2),195-202.

[9]. Masthanrao, S., Balamurugan, K. S., Varma, S. V. K., & Raju, V. C. C. (2013). Chemical reaction and hall effects on MHD convective flow along an infinite vertical porous plate with variable suction and heat absorption. Applications & Applied Mathematics, 8(1), pp. 268-288.

[10]. McGregor, J. L. (1970). The application of the minimal energy hypothesis to a casson fluid. The Bulletin of Mathematical Biophysics, 32(2), 249-262.

[11]. Mohan, S. R., Bhaskarudu. P.,Reddy. G. V, & Thajoddin, S. (2017a). Effects of induced magnetic fields on free convection viscous dissipative fluid flow past a moving an infinite inclined plate in the presence of heat source. International Journal of Trend in Research and Development, 4(3), 63-69.

[12]. Mohan, S. R., Reddy, G. V., Varma, S. V. K., & Krishna, S. B. (2017b). Thermal diffusion and TGHS effect on MHD viscous dissipative Kuvshinski fluid past an inclined plate through porous medium with thermal radiation and chemical reaction. i-manager's Journal on Mathematics, 6(1), 43-56.

[13]. Mohan, S. R., Reddy, G. V., Varma, S. V. K., & Krishna, S. B. (2017c). Chemical reaction and thermal radiation effect on unsteady MHD free convection flow past an inclined moving plate with TGHS. Imperial Journal of Interdisciplinary Research(IJIR),3(1),1510-1520.

[14]. Mohan, S. R., Reddy, G. V., Varma, S. V. K., & Krishna, S. B. (2017d). Thermal radiation and chemical reaction effects on unsteady MHD free convection flow of a viscous dissipative casson fluid past an exponentially infinite vertical plate through porous medium with TGHS. i- Manager's Journal on Mathematics, 6(2), 17-26.

[15]. Mohan, S. R., Reddy, G. V., & Balakrishna, S. (2018). An unsteady MHD free convection flow of casson fluid past an exponentially accelerated infinite vertical plate through porous media in the presence of thermal radiation, chemical reaction and heat source or sink. International Journal of Engineering and Techniques, 4(4), pp. 16-27

[16]. Mohan, S. R., Reddy, G. V., & Varma, S. V. K.(2019a). Dufour and radiation absorption effects on unsteady mhd free convection casson fluid flow past an exponentially infinite vertical plate through porous medium. Journal of Emerging Technologies and Innovative Research (JETIR), 6(2), 485-512.

[17]. Mohan, S. R., Reddy, G. V., & Varma, S. V. K.(2019b). Effects of chemical reaction and aligned magnetic field on unsteady MHD casson fluid flow past a moving an infinite plate through a porous medium in the presence of thermal radiation and heat absorption. International Journal of Advanced and Innovative Research, 8(1), 1-15.

[18]. Mohan, S. R., Reddy, G. V., & Varma, S. V. K. (2019c). Soret and aligned magnetic field effects on an unsteady MHD free convection casson fluid flow past an exponentially infinite vertical plate through porous medium in the presence of thermal radiation, chemical reaction and heat source or sink. Advanced Science, Engineering and Medicine, 11(5), 336-345.

[19]. Mukhopadhyay, S., & Vajravelu, K. (2013). Diffusion of chemically reactive species in Casson fluid flow over an unsteady permeable stretching surface. Journal of Hydrodynamics, Ser. B, 25(4), 591-598.

[20]. Ostrach, S. (1952). An analysis of laminar freeconvection flow and heat transfer about a flat plate parallel to the direction of the generating body force (No. NACA-TN-2635). National Aeronautics and Space Administration Cleveland Oh Lewis Research Center.

[21]. Pop, I., & Soundalgekar, V. M. (1980). Free Convection Flow past an Accelerated Vertical Infinite Plate. Zeitschrift für Angewandte Mathematik und Mechanik, 60(3), 167-168.

[22]. Prakash, J., Kumar, A. G. V., Bhanumathi, D., & Varma, S. V. K. (2012). Dufour effects on unsteady hydromagnetic radiative fluid flow past a vertical plate through porous medium. Open Journal of Fluid Dynamics, 2(04), 159-171.

[23]. Pushpalatha, K., Sugunamma, V., Reddy, J. R., & Sandeep, N. (2016). Heat and mass transfer in unsteady MHD Casson fluid flow with convective boundary conditions. International Journal of Advanced Science and Technology, 91, 19-38.

[24]. Raju, M. C., Reddy, S., & Reddy, E. (2016). Radiation absorption and chemical reaction effects on MHD flow of heat generating Casson fluid past oscillating vertical porous plate. Frontiers in Heat and Mass Transfer (FHMT), 7(21), 1-9.

[25]. Raptis, A., Singh, A. K., & Rai, K. D. (1987). The unsteady free convective flow through a porous medium adjacent to a semi-infinite vertical plate using finite difference scheme. Mechanics Research Communiation, 14, 9-16.

[26]. Reddy, M. G. (2015). Unsteady radiative-convective boundary-layer flow of a Casson fluid with variable thermal conductivity. Journal of Engineering Physics and Thermophysics, 88(1), 240-251.

[27]. Sakiadis, B. C. (1961). Boundary layer behavior on continuous solid surfaces: I. Boundary layer equations for two dimensional and axisymmetric flow. AIChE Journal, 7(1), 26-28.

[28]. Shehzad, S. A., Hayat, T., Qasim, M., & Asghar, S. (2013). Effects of mass transfer on MHD flow of Casson fluid with chemical reaction and suction. Brazilian Journal of Chemical Engineering, 30(1), 187-195.

[29]. Ullah, I., Khan, I., & Shafie, S. (2016). Hydromagnetic Falkner-Skan flow of Casson fluid past a moving wedge with heat transfer. Alexandria Engineering Journal, 55(3), 2139-2148.

[30]. Vijaya Kumar, A. G., Veeresh, C., Varma, S. V. K., Umamaheswar, M., & Raju, M. C. (2017). Joule heating and thermal diffusion effects on MHD radiative and convective Casson fluid flow past an oscillating semiinfinite vertical porous plate. Frontiers in Heat and Mass Transfer (FHMT), 8(1), 1-8.

[31]. Vijayaragavan, R. (2018). Heat and mass transfer in radiative casson fluid flow caused by a vertical plate with variable magnetic field effect. Journal of Global Research in Mathematical Archives (JGRMA), 5(4), 48-66.

[32]. Waqas, H., Rafique, S., Khalid, S., Hussain, S., & Ahamad, F. (2017). The influence of radiation on MHD slip flow and heat transfer of casson fluids due to shrinking sheet immersed in porous medium. Science International, 29(2), 453-457.

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Comparison of Process Parameter Optimization of a Jig Boring process using Taguchi Based Grey Analysis and Genetic Algorithm

Vikas Kumar Sukhdeve* , Nektaria Palaiologou**

* Bhilai Institute of Technology, Durg, Chhattisgarh, India.

** Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sukhdeve, V. M., and Ganguly, S. K. (2019). Comparison of Process Parameter Optimization of a Jig Boring Process Using Taguchi Based Grey Analysis and Genetic Algorithm. i-manager’s Journal on Future Engineering and Technology, 14(4), 58-66. https://doi.org/10.26634/jfet.14.4.14803

Abstract

In the present work few process parameters of a Jig Boring machine like 'Feed Rate', 'Depth of Cut' and 'Cutting Speed' have been optimized for best possible values of few performance parameters or target parameters like 'Vertical Reaction Force', 'Surface Roughness' and 'Material Removal Rate' for a Mild Steel work specimen. The grade of the steel used in the specimen is AISI 1040. Though optimization of process parameters of a Jig Boring machine has been done by many researchers or engineers previously, in the present work a mathematical model has been formulated by regression analysis from the experimental data created as per Taguchi method. Next, from the experimental data, Grey Relational Analysis has been done to predict the optimum combination of process parameters for the best result of performance parameters. Lastly, to validate the mathematical model which has been derived by regression analysis, optimization of the process parameters have been done using Genetic Algorithm optimization tool of MATLAB Program and the optimum result of the process parameters have been verified with the optimum result determined by Grey Relational Analysis.

References

[1]. Andrén, L., Håkansson, L., Brandt, A., & Claesson, I. (2004). Identification of motion of cutting tool vibration in a continuous boring operation—correlation to structural properties. Mechanical Systems and Signal Processing, 18(4), 903-927.

[2]. Balaji, M., Murthy, B. S. N., & Rao, N. M. (2016). Optimization of cutting parameters in drilling of AISI 304 stainless steel using Taguchi and ANOVA. Procedia Technology, 25, 1106-1113.

[3]. Durairaj, M., Sudharsun, D., & Swamynathan, N. (2013). Analysis of process parameters in wire EDM with stainless steel using single objective Taguchi method and multi objective grey relational grade. Procedia Engineering, 64, 868-877.

[4]. Equbal, M. I., Shamim, M., & Ohdar, R. K. (2014). A grey-based Taguchi method to optimize hot forging process. Procedia Materials Science, 6, 1495-1504.

[5]. Jeykrishnan, J., Ramnath, B. V., Elanchezhian, C., & Akilesh, S. (2017). Optimization of process parameters in Electro-chemical machining (ECM) of D3 die steels using Taguchi technique. Materials Today: Proceedings, 4(8), 7884-7891.

[6]. Lin, S. S., Chuang, M. T., Wen, J. L., & Yang, Y. K. (2009). Optimization of 6061 T 6 CNC boring process using the taguchi method and grey relational analysis. Open Industrial & Manufacturing Engineering Journal, 2(1), 14- 20.

[7]. Lipin, K., & Govindan, P. (2013). A review on multiobjective optimization of drilling parameters using Taguchi methods. AKGEC Journal of Technology, 4(1), 11- 21.

[8]. Moshat, S., Datta, S., Bandyopadhyay, A., & Pal, P. (2010). Optimization of CNC end milling process parameters using PCA-based Taguchi method. International Journal of Engineering, Science and Technology, 2(1), 95-102.

[9]. Rao, D. B., Rao, K. V., & Krishna, A. G. (2018). A hybrid approach to multi response optimization of micro milling process parameters using Taguchi method based graph theory and matrix approach (GTMA) and utility concept. Measurement, 120, 43-51.

[10]. Rao, K. V., Murthy, B. S. N., & Rao, N. M. (2013). Cutting tool condition monitoring by analyzing surface roughness, work piece vibration and volume of metal removed for AISI 1040 steel in boring. Measurement, 46 (10), 4075-4084.

[11]. Roy, A. K., & Kumar, K. (2014). Effect and Optimization of Machine Process Parameters on MRR for EN19 & EN41 materials using Taguchi. Procedia Technology, 14, 204-210.

[12]. Saini, S. K., & Pradhan, S. K. (2014). Optimization of multi-objective response during cnc turning using taguchi-fuzzy application. Procedia Engineering, 97, 141-149.

[13]. Saravanakumar, A., Karthikeyan, S. C., & Dhamotharan, B. (2018). Optimization of CNC Turning Parameters on Aluminum Alloy 6063 using TaguchiRobust Design. Materials Today: Proceedings, 5(2), 8290-8298.

[14]. Senthilkumar N., Tamizharasan T. , & Anandakrishnan, V. (2014). Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis. Measurement, 58, 520-536.

[15]. Shi, K., Zhang, D., Ren, J., Yao, C., & Yuan, Y. (2014). Multiobjective optimization of surface integrity in milling TB6 alloy based on Taguchi-grey relational analysis. Advances in Mechanical Engineering, 6, 280313.

[16]. Sukhdeve, V. K., & Ganguly, S. K. (2018). Optimization of operational parameter values of a jig boring process using grey analysis and SN ratio method. International Journal of Advanced in Management, Technology and Engineering Sciences, 8(2), 673-684.

[17]. Vankanti, V. K., & Ganta, V. (2014). Optimization of process parameters in drilling of GFRP composite using Taguchi method. Journal of Materials Research and Technology, 3(1), 35-41.

[18]. Xiao, W., Zi, Y., Chen, B., Li, B., & He, Z. (2014). A novel approach to machining condition monitoring of deep hole boring. International Journal of Machine Tools and Manufacture, 77, 27-33.

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 20 Issue 1

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Volume 14 Issue 4 May - July 2019

Sayavur I. Bakhtiyarov* , Mostafa Hassanalian**

*_** Department of Mechanical Engineering, New Mexico Institute of Mining and Technology, Socorro, NM, USA.

Bakhtiyarov, S. I., and Hassanalian, M. (2019). Complex Variable Method to Predict Aerodynamics of Arbitrary Shaped space Debris. i-manager’s Journal on Future Engineering and Technology, 14(4), 1-4. https://doi.org/10.26634/jfet.14.4.16074

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Viveksheel Rajput* , Mudimallana Goud**, Narendra Mohan Suri***

*-*** Production and Industrial Engineering, PEC, Chandigarh, India.

Rajput, V., Goud, M., and Suri, N. M. (2019). Performance Analysis on the Effect of Different Electrolytes During Glass Micro Drilling Operation Using ECDM. i-manager’s Journal on Future Engineering and Technology, 14(4), 5-13. https://doi.org/10.26634/jfet.14.4.15788

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Prashant Hindurao Kamble* , Shrikant M. Bhosale**

*-** Environmental Science and Technology, Department of Technology, Shivaji University, Kolhapur, Maharashtra, India.

Kamble, P. H., and Bhosale, S.M. (2019). Assessment of Impact of Bauxite Mining on Environment. i-manager’s Journal on Future Engineering and Technology, 14(4), 14-21. https://doi.org/10.26634/jfet.14.4.16069

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Gopal Rana* , Ankush**, Divya***

*-** Department of Mechanical Engineering, Lovely Professional University, Phagwara (Punjab), India. ***Department of Mechanical Engineering, NITTTR, Punjab, India.

Rana, G., Gulati, P.,and Banwait, S. S. (2019). Investigation of Mechanical Properties by Optimizing Process Parameters of FSW for AZ31B Magnesium Alloy. i-manager’s Journal on Future Engineering and Technology, 14(4), 22-32. https://doi.org/10.26634/jfet.14.4.14828

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Sanjay G. Sakharwade* , Shubhrata Nagpal**

*_** Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sakharwade, S. G., and Nagpal, S. (2019). Study of Transient Characteristics of Belt Conveyor by Lumped Mass Method. i-manager’s Journal on Future Engineering and Technology, 14(4),33-38. https://doi.org/10.26634/jfet.14.4.15368

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S.Siva Sankar* , M. Vijay Kumar Reddy**, R. Sudhakara Pandian***

*-** Department of Mechanical Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Chittoor, Andhra Pradesh, India. *** School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India.

Sankar, S. S., Reddy, M. V. K.,and Pandian, R. S. (2019). Multi - Objective Optimization of Process Parameters in Abrasive Water Jet Machining by using Vikor. i-manager’s Journal on Future Engineering and Technology, 14(4), 39-46. https://doi.org/10.26634/jfet.14.4.15493

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S. Rama Mohan* , G. Viswanatha reddy**, S. V. K. Varma***

*-*** Department of Mathematics, S.V. University, Tirupathi, Andhra Pradesh, India.

Abstract

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Vikas Kumar Sukhdeve* , Nektaria Palaiologou**

* Bhilai Institute of Technology, Durg, Chhattisgarh, India. ** Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Sukhdeve, V. M., and Ganguly, S. K. (2019). Comparison of Process Parameter Optimization of a Jig Boring Process Using Taguchi Based Grey Analysis and Genetic Algorithm. i-manager’s Journal on Future Engineering and Technology, 14(4), 58-66. https://doi.org/10.26634/jfet.14.4.14803

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Viveksheel Rajput* , Mudimallana Goud, Narendra Mohan Suri*

Gopal Rana* , Ankush, Divya*

- Department of Mechanical Engineering, Lovely Professional University, Phagwara (Punjab), India.

Department of Mechanical Engineering, NITTTR, Punjab, India.

S.Siva Sankar* , M. Vijay Kumar Reddy, R. Sudhakara Pandian*

- Department of Mechanical Engineering, Annamacharya Institute of Technology and Sciences, Tirupati, Chittoor, Andhra Pradesh, India.

School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India.

S. Rama Mohan* , G. Viswanatha reddy, S. V. K. Varma*

* Bhilai Institute of Technology, Durg, Chhattisgarh, India.

** Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.