Optimization of Micro EDM Process Using Multi Objective Grasshopper Optimization Algorithm (MOGOA)

Sakib, Mohmmad Shadman

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dc.contributor.author	Sakib, Mohmmad Shadman
dc.date.accessioned	2022-04-29T05:33:59Z
dc.date.available	2022-04-29T05:33:59Z
dc.date.issued	2021-03-30
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Bhattacharyya, “An analysis and optimisation of the geometrical inaccuracy due to wire lag phenomenon in WEDM,” Int. J. Mach. Tools Manuf., 2003, doi: 10.1016/S0890-6955(02)00158-X. Optimization of Micro EDM Process Using Multi Objective Optimization Algorithm (MOGOA) 73 [29] M. A. El-Dardery, “Economic study of electrochemical machining,” Int. J. Mach. Tool Des. Res., 1982, doi: 10.1016/0020-7357(82)90023-3. [30] D. Karaboga, “An idea based on Honey Bee Swarm for Numerical Optimization,” Tech. Rep. TR06, Erciyes Univ., 2005. [31] A. H. Gandomi and A. H. Alavi, “Krill herd: A new bio-inspired optimization algorithm,” Commun. Nonlinear Sci. Numer. Simul., 2012, doi: 10.1016/j.cnsns.2012.05.010. [32] S. Mirjalili, “The ant lion optimizer,” Adv. Eng. Softw., 2015, doi: 10.1016/j.advengsoft.2015.01.010. [33] J. Kennedy and R. Eberhart, “Particle swarm optimization,” 1995, doi: 10.4018/ijmfmp.2015010104. [34] I. Boussaïd, J. Lepagnot, and P. Siarry, “A survey on optimization metaheuristics,” 2013, doi: 10.1016/j.ins.2013.02	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/1437
dc.description	Supervised by Dr. Mohammad Ahsan Habib, Professor, Department of Mechanical & Production Engineering (MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.description.abstract	The complex cross sectional micro-operation entails precise and stable micro machining processes. Localized electrochemical deposition in micro EDM operation is an inexpensive meticulous machining approach which can maneuver a variation of structures. The discharge energy of RC type pulse generator depends on capacitance and pulse voltage which have direct impact on Material Removal Rate (MRR), Relative Wear Ratio (RWR), Average Spark Gap (ASG) and Average Taper Angle (ATA). In this book, the optimal performance of MRR, RWR, ASG and ATA are optimized using Multi Objective Grasshopper Optimization Algorithm (MOGOA) on steel, copper, brass and aluminium are investigated. The desired condition of micro EDM operation is higher MRR and lower RWR, ASG and ATA in order to minimize the discharge energy of the machining process. The objective of the book is to find the optimal set of parameters that satisfies the multi conflicting optimizing parameters. The effect of the workpiece materials at different operating conditions are investigated to determine the effect of the optimizing parameters on the tool efficiency, workpiece efficiency and dimensional accuracy are studied. The optimization algorithm is evaluated with diverse optimization algorithms.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Mechanical and Production Engineering, Islamic University of Technology, Gazipur, Bangladesh	en_US
dc.subject	micro EDM, MOGOA, MRR, RWR, ASG, ATA	en_US
dc.title	Optimization of Micro EDM Process Using Multi Objective Grasshopper Optimization Algorithm (MOGOA)	en_US
dc.type	Thesis	en_US