Titanium Cutting Force Prediction Model And Optimization Of Processing Parameters

Titanium alloy is a superior engineering material, broad application prospects.But at thesame alloy is also a particularly difficult materials, so the cutting of titanium and optimizingprocess parameters has important significance.In this paper, titanium alloy Ti-6Al-4V is alsobe studied. By finite element analysis of turning process titanium reveals titanium turning law.This paper mainly have done the following aspects of work:1. A study analyzing the basic theory of metal cutting, including cutting force, cuttingtemperature, cutting heat, cutting deformation theory. Studied the yield criterion, hardeningrule, thermal coupling of the basic theory of finite element for turning titanium Finite ElementAnalysis of the foundation.2. the using of finite element analysis software DEFORM simulate titanium alloy turningprocess. A comprehensive test method for simulation of titanium alloy, access simulation data,and the experimental results were analyzed, revealing the basic law of titanium turning.3.Using neural network system construct titanium turning force predictive models.Neural network system contains a large number of neurons, has a strong fault tolerance andanti-jamming capability, and is a powerful tool to deal with nonlinear problems.4.Using genetic algorithm optimize processing parameters.Turning to meet the minimumforce, cutting temperature minimum, maximum cutting efficiency, surface roughnessminimum, minimum power consumption under the conditions of pareto optimal,cuttingparameters obtained solution set.export data results can be get for the real application.