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Design and validation of a grinding wheel optical scanner system to repeatedly measure and characterize wheel surface topography
Affiliation:1. School of Mechanical Engineering, Shandong University of Technology, 266 Xinchun West Road, Zhangdian District, Zibo, 255049, PR China;2. Singapore Institute of Manufacturing Technology, 71 Nanyang Drive, 638075, Singapore;1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, 117565, Singapore;3. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China;4. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China;3. Chongqing Tiema Industries Group Co., Ltd., Chongqing 400050, China
Abstract:This paper describes the design and validation of an upgraded grinding wheel scanner system that controls the position of a Nanovea CHR-150 Axial Chromatism sensor along the x- and y-directions of the wheel surface to measure and characterize wheel surface topography. The scanner features a novel homing system that enables the wheel to be removed from the scanner, used on a grinding machine and then re-mounted and re-homed so that the same location on the wheel surface can be repeatedly measured and monitored. The average standard deviation for homing was 27.6 μm and 19.3 μm in the x- and y-directions, respectively, which is more than adequate for typical area scans of 25 mm2. After homing, the scanner was able to repeatedly measure features that were similar in size to an abrasive grain (~200 μm diameter) with an average error of 9.3 μm and 5.9 μm in the x- and y-directions, respectively. The resulting topography measurements were compared with Scanning Electron Microscope images to demonstrate the accuracy of the scanner. A custom particle filter was developed to process the resulting data and a novel analysis technique involving the rate of change of measured area was proposed as a method for establishing the reference wheel surface from which desired wheel topography results can be reported such as the number of cutting edges, cutting edge width and cutting edge area as a function of radial depth.
Keywords:Measurement  Wheel  Topography  Optical  Scanner
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