Acknowledgement
Supported by : 밀양대학교
Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)
- Volume 2 Issue 2
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- Pages.147-153
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- 1999
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- 1226-833X(pISSN)
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- 2765-5415(eISSN)
Extraction of the Surface Roughness in Grinding Operation by Acoustic Emission Signal
AE 신호에 의한 연삭가공 표면거칠기 검출
- Chung, Sung-Won (Dept. of Mechanical Engineering, Miryang National University)
- 정성원 (밀양대학교 기계공학과)
- Received : 1999.06.25
- Accepted : 1999.10.05
- Published : 1999.10.31
Abstract
An in-process extraction method of the ground surface roughness is a bottle-neck and essential field in conventional machining process. We define the D.A.R.F(Dimensionless Average Roughness Factor) that has a roughness characteristic of ground surface. D.A.R.F include the absolute average and the standard deviation values which are the analytic parameters of the AE(Acoustic Emission) signal generated during the grinding operation. The theoretical equation between the surface roughness and the D.A.R.F has been derived from the linear regressive analysis and verified its availability through the experimentation on the surface grinding machine.
Keywords