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7 March 2019 Development of in-situ measuring geometrical characteristics method for crankshaft
Dongliang Liu, Peng Zheng, Zhanxin Zhi
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Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 110531Y (2019) https://doi.org/10.1117/12.2511711
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China
Abstract
Aiming at the requirement of high-precision and high-efficiency measurement of crankshaft grinding machining, a new method for measuring the geometrical characteristics of crankshaft in-situ is proposed and a crankshaft grinding in-situ measurement system is constructed by this method.In the first place, the overall plan for in-situ measurement system is formulated to confirm the composition of the in-situ measurement system.In the second place, the new type of measurement device is designed and constructed to convert the change in size into the change in inductance to analyze the geometric characteristics of the workpiece during machining.Geometric error operation operator based on the new generation Geometrical Product Specification (GPS) is constructed.And mathematical models for on-site machining measurement such as shaft diameter and roundness are established.The final step is to design the measurement and active measurement controller then develop its corresponding software. The real-time geometric feature information of the crankshaft machining acquired by the measuring device is obtained, analyzed and applied to the control and adjustment of the workpiece geometry in the grinding process.Through experiments, it can be proved that the in-situ measurement device can greatly improve the production efficiency and precision of crankshaft grinding.
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Dongliang Liu, Peng Zheng, and Zhanxin Zhi "Development of in-situ measuring geometrical characteristics method for crankshaft", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110531Y (7 March 2019); https://doi.org/10.1117/12.2511711
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KEYWORDS
Measurement devices
Mathematical modeling
Error analysis
Control systems
Data conversion
Analog electronics
Calibration
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