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Application of Neuro-Fuzzy Models to Grinding Wheel Parameters

机译:神经模糊模型在砂轮参数中的应用

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摘要

Grinding is one of the most important finishing operations and it is very useful in our automobile industries. A grinding wheel is made of very small, sharp and hard abrasive particles or grits held together by strong porous bond. The paper presents, a control system for grinding process using neurofuzzy technique. The grinding parameters include circumferential speed of a grinding segment workpiece velocity and work depth of cut. The maximum grinding temperature is very important since too high temperature will lead to surface burns and thermal damage to the grinding wheel as well as the workpiece material. For fuzzy modeling, all the numerical values are replaced with linguistic values. The research work can be applied to any other grinding process, whether it is a wet or dry grinding process.
机译:磨削是最重要的精加工操作之一,在我们的汽车行业中非常有用。砂轮由很小,锋利且坚硬的磨料颗粒或沙粒组成,这些颗粒或沙粒通过牢固的多孔结合而保持在一起。本文提出了一种使用神经模糊技术的磨削过程控制系统。磨削参数包括磨削部分的圆周速度和工件的切削速度。最高磨削温度非常重要,因为太高的温度会导致表面烧伤,并对砂轮以及工件材料造成热损伤。对于模糊建模,将所有数值替换为语言值。该研究工作可以应用于任何其他研磨工艺,无论是湿磨工艺还是干磨工艺。

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