Reliability-based Optimization of Selective Laser Melting Process Parameters for Co-Cr Alloy
Selective laser melting(SLM)is one of the most common additive manufacturing technologies at present.The process parameters,material properties and atmosphere stability have important impacts on the forming quality.A multi-factor and multi-level experiment is designed by taking the nominal value of laser power,scanning speed and scanning pitch as design variables,and the laser power,local distribution mean value of Co-Cr alloy powder diameters,and wind speed fluctuation strength as random parameters.Based on the principle of rank correlation,the probabilistic augmentation of incomplete data is achieved to obtain the response surface among design variables,random parameters and properties of samples.The reliability-based design optimization(RBDO)model for SLM process parameters of Co-Cr alloy is established with the optimization goal of maximizing forming efficiency under the probability constraint of meeting the allowable tensile strength.Aiming at non-normal random parameters and non-linear performance function in the Co-Cr alloy SLM process,the universal generation function is introduced,discrete enumeration and random sampling are integrated,and an innovative RBDO algorithm based on adaptive subdivision-importance sampling strategy is proposed to obtain the optimal solution of SLM process parameters for achieving the highest forming efficiency under reliability constraints.
万方数据
维普
