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Proceedings Paper

An online measuring system for large screw threads
Author(s): Hongyan Zhang; Guoxiong Zhang
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Paper Abstract

An online measuring system can automatically detect large screw threads by using the neotype gauge head of threads, which includes a TESA inductance type transducer and a probe pin chosen according to the tooth-type of the screw thread. The contact measurement method was adopted on the basis of the synthetic measurement principle. The functional diameter of thread has experimentally been investigated and analyzed. The method of data processing is not only based on the principle of a precision measurement, but also on the principle of a dynamic test. The dynamic error is analyzed in this paper by spectrum analysis. The dynamic error is taken out and data of the functional diameter of the thread will be obtained. The analysis and the results of an actual measurement mentioned above show that the neotype gauge head of thread is capable to get the error and relative changes of the functional diameter of the screw thread. So the compatibility of saw-tooth thread can be evaluated. The system is not only suited for the test of saw-tooth thread, but also for that of other large threads with different tooth forms by using different types of probes. External threads as well as internal threads can be tested. Because the measurement strength of the neotype gauge head is much smaller than that of regular screw gauges, thus diminishing the measurement error resulting from the contact stress, the measurement precision of the gauging head can reach 1μm.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71301X (31 December 2008); doi: 10.1117/12.819608
Show Author Affiliations
Hongyan Zhang, Tianjin Univ. (China)
Henan Polytechnic Univ. (China)
Guoxiong Zhang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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