An integrated approach for cutting fluid selection using multiple attribute decision making methods
Autor: | T. Rameshbabu, S. Dhanalakshmi |
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Rok vydání: | 2021 |
Předmět: |
Computer science
Mechanical Engineering Computational Mechanics Energy Engineering and Power Technology Analytic hierarchy process TOPSIS Industrial engineering Industrial and Manufacturing Engineering Fuel Technology Machining Ranking Mechanics of Materials Numerical control Dimension (data warehouse) Cutting fluid Selection (genetic algorithm) |
Zdroj: | Journal of Mechanical Engineering and Sciences. 15:7860-7873 |
ISSN: | 2231-8380 2289-4659 |
DOI: | 10.15282/jmes.15.1.2021.20.0620 |
Popis: | The choice of most appropriate cutting liquid in any machining process should be performed to attain maximum benefit. Selection of cutting fluid needs more than one dimension. For this purpose, many criteria should be deemed in the selection process. In this study decision making methods such as AHP, TOPSIS and VIKOR are employed to select the suitable cutting fluid. AHP is used to compute the objective weights for the criteria.The three alternatives considered are Ahonol- 7, Blaser and YBI. A case study of cutting fluid selection for machining LM 25 Aluminium alloy which finds application in automobile industries is presented to explain the applicability and suitability of the anticipated method. Ranking of alternatives in the above methods suggests Ahonol – 7 as the best cutting fluid for CNC turning LM 25 aluminium alloy. |
Databáze: | OpenAIRE |
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