Research on Multi-objective Optimization of Processing Parameters of Non-metallic Laser Cutting Machine for Low Energy Consumption

Abstract

AbstractTo optimize the parameters of non-metallic laser processing, a multi-objective optimization algorithm is used. First, the energy consumption and cost of the non-metallic laser processing process are modeled using the genetic-BP neural network algorithm, and then the processing parameters are preferred under the constraints of “processing energy consumption” and “product cost”. The results show that genetic-BP neural network algorithm is more accurate to the energy consumption model established in the non-metal laser machining process and more accurate to obtain the processing parameters consistent with the actual.KeywordsNonmetal laser processingLow energy consumptionGenetic BP neural network algorithm