MATEC Web Conf.
Volume 129, 2017International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2017)
|Number of page(s)||4|
|Section||Modelling of Technical Systems. CAD/CAM/CAE Systems|
|Published online||07 November 2017|
The application of statistical methods to control the quality of the contact pairs of electrical connectors
Oryol State University name's of I.S. Tyrgenev, Department «Device-building, Mertology and Sertification», 302026, Orel 95 Komsomolskaya Street, Russia
2 Bryansk State Technical University, Department Innovative Development of University,, 241035, Bryansk 7, 50 let Oktyabrya bul., Russia
* Corresponding author: email@example.com
The development of electronic technology in the direction of improving its performance and speed, accompanied by the decrease of its dimensions and mass. This trend requires a new generation of electrical connectors differing from the basic models of a large number of contacts and density of placement on the insulator, having low contact resistance and high insulation resistance, high reliability and long life. The article describes the way of practical application of statistical methods for quality control of contact pairs of electrical connectors. The objects of study of effectiveness of statistical methods of quality management selected two typical details contact pairs received by turning on automatic lathes: pin and socket. The article considers the process of collecting statistical information about the technological process automatic turning of parts of the contact pairs. Shows the results of processing statistical information about the quality of the details of the contact pairs. The use of statistical methods for quality control of contact pairs of electrical connectors allows to correctly configure technological equipment according to the results of making a test batch of parts. Recommendations are made to improve the quality of the contact pairs of connectors. Compiled by technique of quality management of contact pairs according to the results of the statistical analysis of technological processes of their manufacture.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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