Research on Machining Path Optimization Based on Digital Twin Machine Tool Model
The personalized processing transformation in the manufacturing industry has put forward higher requirements for CNC machine tool processing control.In response to the problem that digital twin models constructed under fixed working conditions cannot adapt to pro-duction requirements for adjusting processing paths,this study proposes to embed an improved genetic simulated annealing algorithm(I-GASA algorithm)into the digital twin machine tool model.Based on actual processing needs,an objective function is constructed to com-prehensively minimize tool length and tool change cost,And four constraints were set for CNC machining motion interference constraints,repeated tool walking constraints,primitive machining sequence constraints,and tool life constraints.The IGASA algorithm was used to solve the goal and obtain the optimal machining path.At the same time,virtual mapping of CNC machine tools is achieved through the digital twin machine tool model,real-time acquisition of machining data and CNC machine tool operation data,and adaptive updating of the optimal machining path using IGASA algorithm based on data changes.The validation shows that this method can update the machining path again,and the length of the machining path in the case has been reduced by 141.56mm,indicating the effectiveness of this method.
Digital twin technologyCNC machine toolsDigital twin machine tool modelIGASA algorithmOptimization of machin-ing path
NETL
NSTL
万方数据
维普
