基于改进NSGA-Ⅲ算法的玻璃磨削加工参数优化OA

In order to improve the quality of glass grinding products and reduce the energy consumption of glass grinding processing,a glass grinding parameter optimization method based on the improved NSGA-Ⅲ algorithm is proposed,taking substrate glass grinding as the research object.Firstly,an optimization model for glass grinding processing parameters is constructed with the objectives of minimizing residual stress,thickness deviation,and energy consumption.Then,based on the NSGA-Ⅲ algorithm,a strategy pool for the NSGA-Ⅲ algorithm is constructed using multiple crossover operators,and adaptive crossover operator selection is performed to improve the NSGA-Ⅲ algorithm.Finally,the improved NSGA-Ⅲ algorithm is used to solve the glass grinding parameter optimization model,and simulation experiments are conducted.The results show that after optimization using the improved NSGA-Ⅲ algorithm,the residual stress of the substrate glass products is about 15 MPa,the thickness deviation is about 0.05 μm,and the energy consumption is about 1890 kJ/pcs.Compared with other methods,the proposed approach demonstrates superior performance in optimizing glass grinding parameters.It can be concluded that this method improves the quality of glass grinding products,reduces energy consumption during glass grinding processing,and provides a reference for achieving low-thickness-difference grinding technology for substrate glass.