Truing and dressing are essential processes of grinding wheel preparation. They make the
wheel geometry true with respect to its rotational axis and its cutting surface sharp. These factors
significantly influence the quality of the final profile and surface produced from the grinding
process. Prediction of the optimum wheel surface for grinding, defined as one which produces an
accurate profile and cuts most efficiently can greatly minimize the time to optimize grinding wheel
performance. This paper describes virtual dressing and truing operations, takes under account
vibration of the dressing apparatus and shows how to generate wheel surface replica under different
conditions.
An undergraduate laboratory has recently been developed to expose junior mechanical engineering students to the concept, components and operation of data acquisition boards, PC-based data acquisition, analysis and control. The laboratory, which has been taught during the last two fall semesters, consists of the compression testing of golf ball cores using a Riehle compression tester, and analysis of the collected data using digital signal processing techniques and statistical process control (SPC). Student feedback to date suggests the labs have had a positive impact on student learning and underline the importance of including the topic of PC-based data acquisition and analysis in an undergraduate engineering curriculum.
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