Cutting Parameters Optimization Of Titanium Alloy And Database System Development

To guarantee the processing quality, reduce processing costs, improve productivity, theoptimization of cutting parameters on titanium alloy is of great importance.In this paper, a method for optimization of milling parameters with an ImprovedAdaptive Genetic Algorithm(IAGA) is put forward, in which the optimization goals wasbased on maximum productivity, the constraints was based on machine tool, cutting tools,workpiece and the nonlinear mathematical model of cutting force, tool wear, surfaceroughness. Intelligent cutting database is designed and developed, the cutting processparameters was simulated by finite element, the optimization method and the simulationresults were verified by experiments.Firstly, the nonlinear mathematical model of cutting force, tool wear, surface roughnessis established, in which the optimization goals was based on maximum productivity,determining the optimization objective function and constraints. IAGA can adjust thecrossover probability and mutation probability automatically based on the fitness of thepopulation and evolution algebra, and the milling parameters was optimized with the IAGA.Secondly, through the demand analysis for the database, the database application systemis divided into five functional modules, namely cutting data query module, cutting datamaintenance module, optimization of cutting parameters and process parameters predictionmodule, warning confirmation module and rules and case-based reasoning module. Thedatabase application system has been integrated with CATIA.Thirdly, a model of milling cutter structure which is closer to the actual machining and athree-dimensional milling model with finite element is established. The chip forming processof milling titanium alloy was simulated, analyzing the cutting force, cutting temperature anddistribution of surface residual stress. A method of the contour arithmetic average deviationacting as the evaluation parameters of surface roughness, by the finite element simulation thesize of surface displacement of milling workpiece, is put forward. Finally, the optimized cutting parameters was analysed by finite element and cutting tests,demonstrating that the optimization algorithm and simulation model is correct and effective.