科研之友
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摘要
Increasing energy consumption and consequent environmental issues are receiving more and more attention in manufacturing industry. It is well known that operational parameters selection in the machining process plays an important role in improving energy efficiency. In order to reduce energy cost and simultaneously ensure production performance, this paper provides a new approach to the selection of operational process parameters for multi-objective optimisation. The research is focused on the porcelain tile polishing with the chip formation energy and surface quality considered as the optimisation objectives. The four key operational parameters considered in the optimisation model are rotational speed of the polishing head, forward speed of tile, frequency of lateral oscillation and polishing head pressure. Furthermore, chip formation energy and surface quality are defined as the functions of the above operational parameters based on the kinematic equation of polishing machine. Then, a conceptual framework based on hierarchic genetic algorithm is applied to find out the optimum combination for the trade-off between chip formation energy and surface quality. Finally, a case study shows that the proposed approach can determine the Pareto front of polishing parameters for the trade-off and parameters selection has significant influences on energy efficiency of porcelain tile polishing.
- 出版日期2018
- 单位广东工业大学
