A Model for Predicting Force in Grinding Aermet100 Based on Response Surface Method
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摘要: 为了优化超高强度钢Aermet100磨削参数,采用响应曲面实验法,对Aermet100平面磨削力展开了预测模型研究,建立了磨削力的全系数项回归预测模型;采用显著性检验方法,对磨削力预测模型的显著项和不显著项进行了分析,去除了不显著项,对磨削力预测模型进行了简化;基于所建模型,分析了磨削参数对磨削力的影响规律。结果表明:简化的磨削力预测模型误差小,可对磨削力进行有效预测;磨削深度ap与工件速度vw、砂轮速度vs的交互作用对磨削力影响显著;磨削力随着工件速度vw、磨削深度ap的增加而增加,随着砂轮速度vs的增加而降低。Abstract: To optimize grinding parameters of ultra-high strength steel Aermet100, this paper applies the response surface method to investigating the model for predicting the force in grinding the surface of Aermet100, and establishes all coefficient regression models of the grinding force. The significance test method is used to determine whether or not each item in the model has significant effect on the grinding force, and a simplified model is obtained through removing the item which is not significant for the original model. In addition, the influence of process parameters on grinding force is analyzed based on the prediction model. The results show that the error of the simplified model of grinding force is small, and the grinding force can be effectively predicted; the interaction of grinding depth ap with workpiece speed vw and grinding wheel speed vs respectively is significant; grinding force increases with the increase of both workpiece speed vw and grinding depth ap, while decreasing with the increase of wheel speed vs.
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Key words:
- Aermet100 /
- design of experiments /
- efficiency /
- errors /
- forecasting
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