Drilling process improvement with genetic algorithm
| Autor: | Umesh Bhushi, Janak Suthar, S.N. Teli |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Computer science business.industry Delamination Automotive industry Mechanical engineering Drilling Thrust 02 engineering and technology Fibre-reinforced plastic 021001 nanoscience & nanotechnology 01 natural sciences 0103 physical sciences Genetic algorithm Torque Response surface methodology 0210 nano-technology business |
| Zdroj: | Materials Today: Proceedings. 44:2735-2739 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2020.12.698 |
| Popis: | CFRP (Carbon fibre reinforced plastic) have an application in many fields like aircraft, automotive and medical industries. The products which made with the use of CFRP material are joined by bolting hence the high quality of drilling hole needed for the proper joining. Estimated 60% of all parts rejections because of poor hole quality in composites materials. So, it is very essential to consider drilling process improvement as research work. This paper deals with the multi-objective optimization for improving quality of hole and drilling tool life. Optimize drilling process with the objective of delamination factor, thrust force and torque for CFRP materials using multi-objective GA (Genetic Algorithm) & RSM (Response Surface Methodology) was seldom reported. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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