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Detection of dressing time using the grinding force signal based on the discrete wavelet decomposition

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Abstract

This paper describes the use of the grinding force signal to show the mechanical noise reduction and to detect the dressing time based on the discrete wavelet decomposition. As a result of de-noising, the wavelet de-noising method was more effective than the FFT filtering technique. From the approximation coefficients of the higher order wavelet transform, the grinding force signal obtained by a tool dynamometer was clear so it was possible to successfully detect the dressing time. A measured result by the surface roughness and the ground surface photograph coincided with the detection result.

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Authors and Affiliations

  1. School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, Nam-Ku, 608-739, Busan, S. Korea

    Jae-Seob Kwak & Man-Kyung Ha

Authors
  1. Jae-Seob Kwak
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  2. Man-Kyung Ha
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Correspondence to Jae-Seob Kwak.

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Kwak, JS., Ha, MK. Detection of dressing time using the grinding force signal based on the discrete wavelet decomposition. Int J Adv Manuf Technol 23, 87–92 (2004). https://doi.org/10.1007/s00170-003-1556-7

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  • DOI: https://doi.org/10.1007/s00170-003-1556-7

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