Abstract
The selection of optimal parameters of electrochemical machining (ECM) processes plays a noteworthy part in optimizing the measures of process parameters. Hence, evaluation of material removal rate and surface roughness is of enormously important in ECM. Developed in this paper is the application of Taguchi-based MOORA technique, desirability function analysis, and TOPSIS method for optimizing the responses of chromoly steel with the help of hexagonal-shaped brass electrode and brine solution. Multi-objective optimization has been done to investigate the influence of process parameters, i.e., voltage, tool feed rate, and signal on MRR and surface roughness. Optimal factor setting obtained from each optimization technique was compared, and confirmation test was done to validate the results obtained from electrochemical machining.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nayak KC, Tripathy RK (2012) Taguchi integrated least square support vector machine an alternative to artificial neural network analysis of electrochemical machining process. IOSR J Mech Civ Eng 1:01–10
Goutam RK (2012) Optimization and experimental investigation on EN19 using hexagonal shaped electrode in ECM. BTech thesis. National Institute of Technology, Rourkela
Kumar KS (2013) Experimental investigation of MRR and surface roughness of EN-18 steel in ECM. BTech thesis. National Institute of Technology, Rourkela
Ranganathan S, Senthilvelan T (2011) Multi-response optimization of machining parameters in hot turning using grey analysis. Int J Adv Manuf Technol 56:455–462
Jiang B, Lan S, Ni J, Zhang Z (2014) Experimental investigation of spark generation in electrochemical discharge machining of non-conducting materials. J Mater Process Technol 214:892–898
Za G, Povr O, Hrapavosti I (2010) Use of grey based Taguchi method in ball burnishing process for the optimization of surface roughness and microhardness of AA 7075 aluminum alloy. Mater Technol 44:129–135
Qu N, Fang X, Li W (2013) Wire electrochemical machining with axial electrolyte flushing for titanium alloy. Chin J Aeronaut 26:224–229
Sahu SN, Nayak D, Rana HK (2013) Optimization of ECM process parameter by using simulated annealing approach. Int J Adv Trends Comput Sci Eng 2:18–21
Lu J, Riedl G, Kiniger B, Werner E (2014) Three-dimensional tool design for steady-state electrochemical machining by continuous adjoint-based shape optimization. Chem Eng Sci 106:198–210
Mukherjee R, Chakraborty S (2012) Selection of the optimal electrochemical machining process parameters using biogeography-based optimization algorithm. Int J Adv Manuf Technol 64:781–791
Chakradhar D, Gopal AV (2011) Multi-objective optimization of electrochemical machining of EN31 steel by grey relational analysis. Int J Model Optim 1:113–117
Rama Rao S, Padmanabhan G (2012) Application of Taguchi methods and ANOVA in optimization of process parameters for metal removal rate in electrochemical machining of Al5%SiC composites. Int J Eng Res Appl 2:192–197
Das AK, Saha P (2013) Analysis on fabrication of micro-tools by micro-electrochemical machining process. Int J Nanomanuf 9:66–76
Rao SR, Padmanabhan G (2013) Linear modeling of the electrochemical machining process using full factorial design of experiments. J Adv Mech Eng VII:13–23
Tang L, Guo YF (2013) Experimental study of special purpose stainless steel on electrochemical machining of electrolyte composition. Mater Manuf Process 28:457–462
Kamaraj AB, Sundaram MM (2013) Mathematical modeling and verification of pulse electrochemical micromachining of microtools. Int J Adv Manuf Technol 68:1055–1061
Khan A, Maity KP (2016) Parametric optimization of some non-conventional machining processes using MOORA method. Int J Eng Res Afr 20:19–40
Barua A, Jeet S, Parida B, Samantray A, Bagal DK (2018) Comparative evaluation and optimization of 4-cylinder CI engine camshaft material using finite element analysis: a hybrid MOORA technique and Taguchi based desirability function analysis approach. Int J Tech Innov Mod Eng Sci 4:105–114
Barua A, Jeet S, Parida B, Sahoo BB, Bagal DK, Samantray A (2018) Virtual optimization of motorcycle sprocket material by using FEA and Taguchi coupled TOPSIS-GA-SA. Int J Adv Sci Res Manage 3:54–63
Jeet S, Barua A, Parida B, Sahoo BB, Bagal DK (2018) Multi-objective optimization of welding parameters in GMAW for stainless steel and low carbon steel using hybrid RSM-TOPSIS-GA-SA approach. Int J Tech Innov Mod Eng Sci 4:683–692
Parida B, Barua A, Jeet S, Bagal DK (2018) Fabrication and mechanical characterization of jute-glass-silk fiber polymer composites based on hybrid RSM-GRA-FIS and RSM-TOPSIS approach. Int J Res Eng Appl Manage 4:25–33
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Panda, S.N. et al. (2020). Comparative Evaluation for Studying the Parametric Influences on Quality of Electrode Using Taguchi Method Coupled with MOORA, DFA, and TOPSIS Method for Electrochemical Machining. In: Parwani, A., Ramkumar, P. (eds) Recent Advances in Mechanical Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Singapore. https://doi.org/10.1007/978-981-32-9971-9_13
Download citation
DOI: https://doi.org/10.1007/978-981-32-9971-9_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9970-2
Online ISBN: 978-981-32-9971-9
eBook Packages: EngineeringEngineering (R0)