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Application of TOPSIS Optimization Technique in the Micro-Machining Process

Sampath Boopathi, C. Sasikumar, Sureshkumar Myilsamy

2022Advances in mechatronics and mechanical engineering (AMME) book series82 citationsDOI

Abstract

Multi-criteria optimization techniques have been applied to predict the best alternative solutions to meet the best results for all attributes. In the micro-machining processes, the various process parameters in the micro-machines, special experimental setup, tool profiles, workpiece materials, and working mediums are considered. Sometimes, the response attributes conflict with each other, making it difficult to estimate the best-influenced process parameters. The multi-criteria optimization methods are applied to solve the abovementioned conditions. In the chapter, the multi-criteria optimization technique: TOPSIS (technique for order of preference by similarity to ideal solution) implementation procedures, flowchart, and result interpretation have been demonstrated to optimize or predict the best micromachining process parameters. A case study on the application of the TOPSIS technique in electrical discharge machining (EDM)) has been illustrated.

Topics & Concepts

TOPSISIdeal solutionMachiningProcess (computing)FlowchartElectrical discharge machiningComputer scienceSimilarity (geometry)EngineeringProcess engineeringMechanical engineeringArtificial intelligenceOperations researchOperating systemPhysicsThermodynamicsProgramming languageImage (mathematics)Advanced Machining and Optimization TechniquesAdvanced machining processes and optimizationManufacturing Process and Optimization
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