Research on Thread Tightening Torque Control Method Based on Fuzzy Algorithm

Ronghua Liu, Feng Pan, Qi Diao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to meet the automatic assembly requirements of large-size and large-torque threaded connection workpieces such as oil pipes and ammunition, a fuzzy prediction model for thread tightening is established by selecting tightening torque and rotation angle as characteristic quantities, and a new automatic tightening control method for large-torque threads is proposed. At the same time, an automatic tightening device for large torque threaded workpieces is designed for experimental verification. It has been proved that the method can meet the functional requirements of automatic screwing of large torque threads, the screwing torque of threads can reach 2320Nm, the screwing process is stable and reliable, and has great engineering application value.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages2216-2220
Number of pages5
ISBN (Electronic)9789881563903
DOIs
Publication statusPublished - Jul 2020
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • Control system
  • Fuzzy algorithm
  • Thread tightening

Fingerprint

Dive into the research topics of 'Research on Thread Tightening Torque Control Method Based on Fuzzy Algorithm'. Together they form a unique fingerprint.

Cite this