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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 denoising 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.

In the surface grinding operations, the grinding fluid cannot be supplied sufficiently in the cutting zone. Temperature generated in the cutting zone increases rapidly and causes thermal damage such as burning on the surface of a workpiece. To reduce thermal damage, the intermittent grinding wheels, which have an excellent cooling effect, have been applied. This paper describes machining characteristics by using intermittent grinding wheels. The grinding force of the intermittent wheels has been simulated by the SIMULAB, which is a program for simulating dynamic systems. Using the intermittent grinding wheels, the characteristics of grinding force, temperature, surface roughness, and geometric error have been evaluated experimently.

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