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- Title
Machining process parameters optimization for heavy-duty CNC machine tools in sustainable manufacturing.
- Authors
Xiong, Yao; Wu, Jun; Deng, Chao; Wang, Yuanhang
- Abstract
Machining process parameters (MPP) directly affect the machining quality and efficiency of heavy-duty CNC machine tools (HCMT). The selection of MPP is very important to effectively improve machining performance. Machining performance has been closely related to the HCMT running state. In order to maintain HCMT sustainably manufacturing with high accuracy and low consumption after machining performance degradation for a long time running, MPP should be re-optimized according to the current state of the machine tools. Thus, this paper proposed a MPP optimization method for running HCMT to obtain optimal MPP based on current running state. A multi-objective optimization model was built, considering both the linear factors such as machining time and machining cost and nonlinear factors such as chatter in machining process. The nonlinear factors were reflected by the nonlinear dynamic model of machining process. Furthermore, a grid optimization algorithm was introduced to search the optimal MPP from the multi-objective optimization model. Finally, a case study was implemented to verify the feasibility of the nonlinear dynamic model and the superiority of the multi-objective optimization method compared with single-objective optimization method.
- Subjects
MACHINE tools; MACHINING; MATHEMATICAL optimization; SUSTAINABLE development; MANUFACTURING processes
- Publication
International Journal of Advanced Manufacturing Technology, 2016, Vol 87, Issue 5-8, p1237
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-013-4881-5