Research on multiple drill bits parallel machining optimization for mass customization furniture CNC center
Mass customization furniture presents two major characteristics,i.e.,high production efficiency and highly personalized products,which necessitate a strong reliance on advanced informatization and automation for organizing production.As a result,mass customization furniture manufacturing stands at the forefront of intelligent manufacturing in the furniture manufacturing industry.The use of computer numerical control(CNC)machining centers for drilling operations is an important means to reconcile the contradictions in the manufacturing process of personalized products and achieve flexible production.Currently,the CNC drilling process often becomes a bottleneck in the manufacturing process due to its long operation time and significant differences between parts.In order to effectively improve produc-tion efficiency,this study was based on production practice and worked toward a breakthrough in the position relation-ship between drill bits and holes,proposing the optimization problem of multi-drill bit parallel drilling in CNC machi-ning centers.By optimizing drill bit arrangement as the main approach and reducing drilling times as the core goal,based on manufacturing big data and process rules to mine information and simplify modeling,Differential Evolution(DE)algorithm was used to solve the drill bit arrangement scheme.Furthermore,Clustering algorithm was used to explore the differentiated drill bit arrangement for future high automation levels,forming a set of practical and univer-sal optimization methods.Theoretical verification showed that,under single machine operation conditions,the average number of front and back drilling was reduced by 17.06%and 4.85%,respectively.The average operation time of a single part was reduced by 3.47 s,13.27%,and the efficiency was improved by 10.16%.Under multi-machine paral-lel operation conditions,the average number of front and back drilling was further reduced by 11.62%and 6.12%,re-spectively,which was 26.70%and 10.68%lower than the current actual situation.The average operation time was further reduced by 6.80%and the efficiency was improved by 5.02%.Compared to the current actual reduction of 19.16%,the efficiency was improved by 14.67%.More than 60 000 parts were measured and the results showed that the average operating time was reduced by 4.96 s and 17.42%,achieving the goal of reducing operating time and improving processing efficiency.The results have certained guiding significance for breaking through the bottleneck of mass cus-tomization furniture manufacturing and promoting intelligent manufacturing of customized furniture.
万方数据
维普
