Research on wear detection of wheel in precision NC curve point grinding

Abstract

For the improvement of machining precision and stability of the grinding process it is very important to perform research on wear detection of the wheel. Conventional wear detection methods depended on the wheel’s optical projection, and its detection error was relatively large due to more subjective factors in the detection process. Meanwhile, non-contact acquisition and processing of the object could be realized by the use of digital image processing technology, and the processing precision and stability was relatively good. Thus, the technology of digital image acquisition and recognition was applied in the research of wear detection of the wheel in precision NC curve grinding. In this work, the working process of new-type curve point grinding based on normal tracing is first introduced in detail; second, the evaluation method of the wheel’s wear is presented, and a description of the wear detection system of the wheel which was built. Lastly a location algorithm of sub-pixels was studied in order to improve the detection precision of the wheel’s wear. Experimental results of wear detection of the wheel showed great improvement of machining precision and verified the effectiveness of wear detection of the wheel based on digital image acquisition and recognition.