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Prediction of the surface roughness and wheel wear of modern ceramic material (Al2O3) during grinding using multiple regression analysis model

机译:使用多元回归分析模型预测现代陶瓷材料(Al 2 O 3 )的表面粗糙度和砂轮磨损

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Grinding process is used widely for producing industrial parts with high precision and high surface quality for modern ceramics. But only a few machining tests were carried out on grinding by using silicon carbide (SiC) grinding wheel with various parameters. In this paper, an analytical model is developed to determine the surface roughness (Ra) and wheel wear (Ww) of modern ceramic material (Al2O3) during grinding. The model is developed to fitting the relationships Ra, Ww versus three process parameters (depth of cut, feed and grain size) using multiple regression analysis method. The main objective of this paper is to develop a model for optimizing the Ra and Ww values of modern Al2O3 ceramic material and SiC grinding wheels during grinding. Besides, experimental results are used to establish the multiple regression analysis equations for Ra and Ww. The predicted values of Ra and Ww show linear relationships versus three parameters and have a good agreement with experiment results.
机译:研磨工艺广泛用于生产现代陶瓷的高精度和高表面质量的工业零件。但是,在使用具有各种参数的碳化硅(SiC)砂轮进行磨削时,仅进行了一些机加工测试。本文建立了一种解析模型,以确定现代陶瓷材料(Al 2 <的表面粗糙度(R a )和轮毂磨损(W w ) / sub> O 3 )。使用多元回归分析方法开发模型,以拟合关系R a ,W w 与三个工艺参数(切深,进料和晶粒尺寸)的关系。本文的主要目的是建立一个优化现代Al 2 O 3的R a 和W w 值的模型陶瓷材料和SiC砂轮在研磨过程中。此外,利用实验结果建立了R a 和Ww的多元回归分析方程。 R a 和W w 的预测值与三个参数呈线性关系,与实验结果吻合良好。

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