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- Title
Multi-Objective Cutting Parameter Optimization Method for the Energy Consumption and Machining Quality of Computerized Numerical Control Lathes.
- Authors
Li, Jian; He, Pengbo; Li, Huankun; Li, Shifa; Xu, Liping; He, Kui
- Abstract
In order to achieve minimum energy consumption in computerized numerical control (CNC) lathe processing under the premise of ensuring the imposed roughness of the machined surface, a black hole-continuous ant colony optimization algorithm (BH-ACOR) is proposed to optimize the turning parameters. Taking turning specific energy and surface roughness as the optimization objectives, a turning test was designed. Subsequently, a multi-objective mathematical model of the cutting stage was formulated through the application of the least-squares method to fit the test data. The black hole algorithm was introduced to mitigate the shortcomings of the continuous-domain ant colony algorithm, which easily falls into a local optimum, so as to put forward a kind of BH-ACOR that is applicable to multi-objective optimization. The algorithm was applied to the multi-objective mathematical model in the turning stage to determine the optimal cutting parameters. Through simulation and test verification, the validity and practicability of the proposed method are further proved.
- Subjects
NUMERICAL control of machine tools; ANT algorithms; ENERGY consumption; LATHES; SURFACE roughness; MATHEMATICAL models
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 2, p905
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14020905