Evaluation of grinding wheel surface by means of grinding sound discrimination
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概要
- 論文の詳細を見る
In this study, a new technique of in-process evaluation of a grinding wheel surface is proposed. Some specific wheel surfaces are prepared as references by the appropriate truing and/or dressing procedure, and grinding sounds generated by these wheels are discriminated by analyzing the dynamic frequency spectrum by a neural network technique. In the case of a conventional vitrified-bonded alumina wheel, the grinding sound can be identified in the optimum network configuration. Therefore, this system can instantaneously recognize differences in the wheel surface with a good degree of accuracy insofar as the wheel conditions are relatively widely changed. In addition, the network can perceive wheel wear because the grain tips are flattened as grinding proceeds and the grinding sound becomes similar to that of a wheel generated with lower dressing feed. The resinoid-bonded cubic boron nitride (CBN) wheel is also discriminable when a grinding sound in a higher frequency range is analyzed.
- 社団法人日本機械学会の論文
- 2004-03-15
著者
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UEDA Takashi
Department of Surgery, National Hospital Organization Saga Hospital
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HOSOKAWA AKIRA
Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University
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HOSOKAWA Akira
Institute of Science and Engineering, Kanazawa University
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Hosokawa Akira
Graduate School Of Natural Science And Technology Kanazawa University
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Hosokawa Akira
Department Of Mechanical And Production Engineering Niigata University
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MASHIMO Kazufumi
Mold Engineering Department, Toyoda Gosei Co., Ltd.
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YAMADA Keiji
Department of Mechanical Systems Engineering, Kanazawa University
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Ueda T
Nuclear Engineering Research Laboratory University Of Tokyo
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Yamada Keiji
Graduate School Of Engineering Hiroshima University
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Ueda Takashi
Department Of Biological Sciences Graduate School Of Science The University Of Tokyo
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Yamada Kou
Graduate School Of Engineering Hiroshima University
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Mashimo Kazufumi
Mold Engineering Department Toyoda Gosei Co. Ltd.
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Ueda Takashi
Department Of Applied Biology And Chemistry Tokyo University Of Agriculture
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Yamada Keiji
Department Of Applied Physics Faculty Of Engineering Nagoya University
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