Abstract
The precision cylindrical traverse grinding process of slender bar is very complex for the strongly time dependent properties of the wheel. Therefore, it is very difficult for operators to properly judge the grinding state using naked eyes and ears. This calls for automatic monitoring technology that can monitor the process in precision cylindrical traverse grinding to guarantee machining quality and productivity as well as reduction in cost. This study developed an automatic monitoring system for precision cylindrical traverse grinding of slender bar using Acoustic emission (AE) technology. Grinding tests on molybdenum were conducted under traverse conditions in a conventional cylindrical grinder. It was found that larger radial material removal depth results in larger root mean square value of Acoustic emission signals (AERMS). Based on this, the AERMS was analyzed and used to determine the finishing of spark-out process and the pre-processing of tool alignment. The variation tendency of AERMS in one spark-out process was applied to determine when a wheel wears out and has to be dressed. The experimental results showed that the AE system was effective to monitor the pre-processing of tool alignment, spark-out and wheel wear in precision cylindrical traverse grinding of slender bar.
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Recommended by Associate Editor Hyung Wook Park
Jianjian Wang received his B.S. degree in Mechanical Engineering from Shandong University, Jinan, China. He received his M.S. degree in Instrument and Meter Engineering from Tsinghua University, Beijing, China. Mr. Wang is currently a Ph.D. student at Tsinghua University, China. His research interests include grinding, rotary ultrasonic machining, and power chuck performance analysis and optimization.
Pingfa Feng received his B.S. and M.S. degrees in Mechanical Engineering from Tsinghua University, Beijing, China. He received his Ph.D. degree in Mechanical Engineering from Technische Universität Berlin, Berlin, Germany. Dr. Feng is currently a Professor at Tsinghua University. His research interests include high efficiency and precision machining, rotary ultrasonic machining, and equipment performance analysis and optimization.
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Wang, J., Feng, P. & Zha, T. Process monitoring in precision cylindrical traverse grinding of slender bar using acoustic emission technology. J Mech Sci Technol 31, 859–864 (2017). https://doi.org/10.1007/s12206-017-0139-8
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DOI: https://doi.org/10.1007/s12206-017-0139-8