Automating the Mold-Material Grinding Process

Author:

Sawa Takekazu,

Abstract

Grinding is difficult to control because abrasive grains are scattered randomly on the surface of the grinding wheel, and the quality of the grinding work is strongly dependent on the skill of the operator. Therefore, automation and optimization technologies should be established immediately for grinding, along with other machining work. From this perspective, we observed the bending vibrations of a diamond wheel during a grinding project and developed a technique to identify the grinding condition by using a microphone to measure the small noises from the vibration (called bending-vibration noise in this paper). In this paper, we report the application of the technique to an ordinary grinding wheel, and our attempt to automate the grinding work of STAVAX and SKD11 metal materials.

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference16 articles.

1. M. Nakao and Y. Hatamura, “Realization of Intelligent Grinding Machine through Monitoring of Grinding Resistance Force,” J. of the Japan Society for Abrasive Technology, Vol.38, No.4, pp. 179-182, 1994.

2. M. Fujimoto, S. Ohishi, R. Hinaga, and Y. Kubo, “Wheel Working Surface Topography and Grinding Force Distributions in Creep Feed Grinding,” Int. J. Automation Technol., Vol.12, No.2, pp. 223-229, 2018.

3. F. Kobayashi, F. Arai, T. Fukuda, M. Onoda, and Y. Hotta, “Intelligent Monitoring System for Grinding Process by Recurrent Fuzzy Inference – Evaluation of Inferred Surface Roughness Using Degree of Fuzziness –,” Int. J. Automation Technol., Vol.11, No.5, pp. 423-430, 1999.

4. F. Nishiyama et al., “Intelligent grinding systems,” Mechanical Engineering, Vol.37, No.2, pp. 54-59, 1989.

5. Y. Fukuhara, S. Suzuki, and H. Sasahara, “In-process discrimination of abnormal grinding state based on characteristic temperature transition of grinding wheel surface,” J. of the Japan Society for Abrasive Technology, Vol.62, No.4, pp. 204-210, 2018.

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