Optimization for cutting force and material removal rate in milling thin-walled parts
Sheng Qu, Mingqin Zhang
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.91How to use a DOI?
- Thin-walled parts Machining parameters Optimization NSGA-II
- Conservative milling parameters are usually adopted in actual milling. This paper presents an optimization procedure to determine the optimum combinations of machining parameters for minimal cutting force and maximal machining efficiency. The regression model for cutting force is developed as objective function according to experimental results. The objectives under investigation in this study are cutting force and material removal rate subjected to constraints conditions. A non-dominated sorting genetic algorithm (NSGA-II) is then adopted to solve this multi-objective optimization problem. The optimized combinations of machining parameters are achieved by the Pareto optimal solutions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Sheng Qu AU - Mingqin Zhang PY - 2016/09 DA - 2016/09 TI - Optimization for cutting force and material removal rate in milling thin-walled parts BT - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SP - 461 EP - 465 SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.91 DO - https://doi.org/10.2991/amitp-16.2016.91 ID - Qu2016/09 ER -