砂带磨削工艺参数试验及试验结果预测研究  

Research on Process Parameters and Experimental Result Prediction for Sand Belt Grinding

作　　者：王泽华 刘晓鸣 WANG Zehua;LIU Xiaoming(College of Mechanical&Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China)

机构地区：[1]南京航空航天大学机电学院,江苏南京210016

出　　处：《机床与液压》2024年第16期32-39,共8页Machine Tool & Hydraulics

摘　　要：通过分析Preston方程得出影响砂带磨削材料去除率的工艺参数,并结合砂带磨削经验,在试验装置一定的情况下,确定了影响叶片加工质量和加工效率的主要4个砂带磨削工艺参数:砂带线速度、工件与砂带法向接触力、砂带磨粒粒度和工件进给速度。对4个工艺参数进行单因素试验和L18(3^(4))正交试验,得到了各个工艺参数对工件表面粗糙度和材料去除率的影响规律,确定了各工艺参数的合理范围。基于多层感知器的非线性预测算法对试验数据进行训练拟合,得到工件表面粗糙度和材料去除率的预测模型。最后根据砂带磨削验证试验和模型间性能对比,确定了模型对表面粗糙度和材料去除率的预测绝对百分比误差分别在2.30%~6.47%和1.00%~6.67%之间,并且此模型预测的计算时间更短,证明了此模型通过工艺参数来预测试验结果的鲁棒性和快速性。The process parameters affecting the material removal rate in sand belt grinding were obtained through analyzing Preston equation.Based on experience in sand belt grinding and under certain experimental device conditions,the four main process parameters affecting the quality and efficiency of blade processing were identified:sand belt linear velocity,normal contact force between workpiece and sand belt,sand belt grinding particle size and workpiece feed speed.Then,through single-factor experiments and L18(3^(4))orthogonal experiments,the influence law of each process parameter on the surface roughness and material removal rate of the workpiece was determined,and the reasonable range of each process parameter was comprehensively considered.A nonlinear prediction algorithm based on multilayer perceptron was used to train and fit the experimental data to obtain a prediction model for surface roughness and material removal rate.Finally,based on the validation experiment of sand belt grinding and the performance comparison between models,the predicted absolute percentage errors of the model for surface roughness and material removal rate are determined to be between 2.30%and 6.47%,1.00%and 6.67%,respectively,and the prediction computation time of this model is shorter,the robustness and rapidity of the model in predicting experimental results through process parameters are demonstrated.

关 键 词：Preston方程 砂带磨削 工艺参数 多层感知器 非线性预测算法 

分 类 号：TH162[机械工程—机械制造及自动化] TP311[自动化与计算机技术—计算机软件与理论]