Optimization of Machining Process for Improved Sustainability

Optimization procedures can be considered useful for machining applications. Most commonly, the optimization method is applied to search a trade-off between costs and profits, and it allows searching for the optimum cutting parameters to maximize the useful tool-life, minimize the time of production...

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Bibliographic Details
Published in:Key engineering materials 2022-07, Vol.926, p.1671-1677
Main Authors: Franchi, Rodolfo, Rotella, Giovanna, Del Prete, Antonio
Format: Article
Language:English
Subjects:
Cutting parameters
Fatigue life
Fatigue tests
Genetic algorithms
Machining
Numerical models
Optimization
Sustainability
Tool life
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Summary:Optimization procedures can be considered useful for machining applications. Most commonly, the optimization method is applied to search a trade-off between costs and profits, and it allows searching for the optimum cutting parameters to maximize the useful tool-life, minimize the time of production, etc. The selection of the optimal machining conditions which could maximize the process sustainability performance and the fatigue life of the machined product is the objective of the work presented. The numerical model developed is useful to have integrated results as input for the optimization algorithm in order to drastically reduce the number of experimental tests needed. In the present work, the optimization of the performance measures is carried out using a self-written Genetic Algorithm code implemented using the MATLAB software.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/p-0804nf