Part 2: Study of the Finish Produced in Surface Grinding

Author:

Abstract

The principal attempts to analytically predict the roughness of a ground surface in terms of wheel geometry and operating parameters are reviewed, and the number of cutting points per square inch of wheel face is identified as a quantity requiring further attention. A new dynamic method of determining the variation of cutting points per square inch with distance from the outermost grain is described and illustrated. Two methods of predicting the peak-to-valley roughness ( h) of a ground surface are presented. The first, which assumes all grains to lie in the same plane and ensures volume continuity, leads to values which are somewhat lower than measured values. The second method, which assumes grains at different levels to be evenly spaced, involves a calculation for the transverse scratch pattern assuming grain geometry to be exactly reproduced in the finished surface. It leads to values of ( h) that are somewhat too high. The roles of vibration, spark-out, and the indirect influence of the wheel depth of cut are discussed relative to surface roughness. The analytical results are found to be in relatively good agreement with the comprehensive experimental study presented in Part 1.

Publisher

SAGE Publications

Subject

General Medicine

Reference10 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on calculation of grinding surface roughness;EUREKA: Physics and Engineering;2022-01-10

2. A Study on Prediction of Grinding Surface Roughness;Advances in Engineering Research and Application;2020-11-24

3. Surface Roughness Prediction Model for Ceramic Grinding;Manufacturing Engineering and Materials Handling, Parts A and B;2005-01-01

4. A Three-Dimensional Model for the Surface Texture in Surface Grinding, Part 2: Grinding Wheel Surface Texture Model;Journal of Manufacturing Science and Engineering;2001-02-01

5. A Three-Dimensional Model for the Surface Texture in Surface Grinding, Part 1: Surface Generation Model;Journal of Manufacturing Science and Engineering;2001-02-01

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