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A Neuro-Fuzzy Linguistic Approach to Component Elements of a Grinding Wheel

机译:砂轮组件的神经模糊语言学方法

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The grinding wheel is made of very small, sharp and hard silicon carbide abrasive particles or grits held together by strong porous bond. These silicon carbide abrasive particles are hard crystalline materials which are held together by a strong, porous bond and these abrasive materials which are of extreme hardness are used to shape other materials by a grinding or abrading action. The paper presents, an analysis of the various component elements of a typical grinding wheel using neuro – fuzzy technique. Among these component elements are, the size of the grains and its spacing, volumetric proportion of grains, volumetric proportion of bonding material and volumetric proportion of pores. However, the work is new as it appears to be the first application of neuro – fuzzy to component elements of a grinding wheel.
机译:砂轮由很小,锋利且坚硬的碳化硅磨料颗粒或沙砾制成,它们通过牢固的多孔结合而保持在一起。这些碳化硅磨料颗粒是硬晶体材料,其通过牢固的多孔结合而保持在一起,并且这些具有极高硬度的磨料用于通过研磨或研磨作用使其他材料成形。本文介绍了使用神经模糊技术对典型砂轮的各种组成元素进行的分析。在这些组成元素中,包括晶粒的尺寸及其间距,晶粒的体积比例,结合材料的体积比例和孔的体积比例。但是,这项工作是新的,因为它似乎是神经方法的首次应用-模糊对砂轮的组成元素。

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