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A Neuro-Fuzzy Linguistic Approach to Component Elements of audGrinding Wheel

机译:一种神经元语言成分的神经模糊语言学方法砂轮

摘要

The grinding wheel is made of very small, sharp and hard silicon carbide abrasive particles or grits held togetherudby strong porous bond. These silicon carbide abrasive particles are hard crystalline materials which are heldudtogether by a strong, porous bond and these abrasive materials which are of extreme hardness are used to shapeudother materials by a grinding or abrading action. The paper presents, an analysis of the various componentudelements of a typical grinding wheel using neuro – fuzzy technique. Among these component elements are, theudsize of the grains and its spacing, volumetric proportion of grains, volumetric proportion of bonding material andudvolumetric proportion of pores. However, the work is new as it appears to be the first application of neuro –udfuzzy to component elements of a grinding wheel
机译:砂轮由非常小的,锋利且坚硬的碳化硅磨料颗粒或沙粒制成,这些颗粒或沙粒通过强力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,它们通过牢固的多孔结合而保持在一起,而这些具有极高硬度的磨料用于通过研磨或磨削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成分/组成进行分析。在这些组成元素中,包括晶粒的粒度及其间距,晶粒的体积比例,结合材料的体积比例和孔的体积比。然而,这项工作是新的,因为它似乎是神经系统的 udfuzzy在砂轮的组成元素上的首次应用。

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