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Tool Performance Optimization While Machining Aluminium-Based Metal Matrix Composite
2020
Metals
Finite element (FE) models and the multi objective genetic algorithm (MOGA-II) have been applied for tool performance optimization while machining aluminum-based metal matrix composites. The developed and verified FE models are utilized to generate data for the full factorial design of experiment (DOE) plan. The FE models consist of a heterogenous workpiece, which assumes uniform distribution of reinforced particles according to size and volume fraction. Cutting forces, chip morphology,
doi:10.3390/met10060835
fatcat:an4fqsiczfflbb55dxbkur5g5m