基于多变量灰色模型的磨削参数预测研究  

Prediction study of grinding parameters based on multi-variable grey model

作　　者：程伟[1,2] 王贵成[2] 梁萍[1] 

机构地区：[1]淮阴工学院,淮安223003 [2]江苏大学,镇江212013

出　　处：《现代制造工程》2013年第5期26-28,共3页Modern Manufacturing Engineering

基　　金：国家自然科学基金项目(51075192);江苏省政府留学基金;江苏省企业博士集聚计划的资助项目(2010)

摘　　要：磨削参数影响混凝土的金刚石磨削应用效果。利用实验数据样本,基于多变量灰色预测理论建立了混凝土的金刚石磨削参数灰色预测模型。结合实验数据分析和验证了以磨削混凝土的金刚石磨削参数为输入、以磨削加工量和金刚石磨粒磨损为输出的预测模型,实例结果表明,该模型可以较好地预测金刚石刀具的机械加工量和磨粒磨损值。The grinding parameters can influence the application of concrete diamond grinding process. Based on the multi-varia- ble grey theory and utilize test data sample, a gray forecasting model of concrete diamond grinding parameters was built. In substi- tuting the real experiment data, a verification experiment for the machining volume and grain wear forecast of concrete diamond grinding tool was conducted using grinding parameters as input value and machining volume and grain wear as output value. The example result indicated that the model can precise forecast them machining volume and grain wear of diamond grinding tool.

关 键 词：灰色理论 磨削参数 多变量灰色模型 预测 

分 类 号：TG580[金属学及工艺—金属切削加工及机床]