{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T16:59:58Z","timestamp":1742403598158},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683683","type":"print"},{"value":"9781643683690","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,13]]},"abstract":"<jats:p>Reasonable texture area density can effectively form continuous oil film and improve the surface tribological properties. The combination of friction experiment and simulation analysis studied the influence of sinusoidal texture surface density on the surface friction performance, and also discussed its influence on the surface oil retention behavior. The experimental results and simulation analysis show that the texture synergistic lubrication has a significant positive correlation with the tribological properties. Moreover, it is noticed that tribological properties are more sensitive when the smaller texture interval is employed. And when the texture interval is 0.216 mm, the effect of sinusoidal texture on surface wettability and dynamic pressure lubrication is more significant. The results of this research contribute to better understanding of sinusoidal texture friction mechanism.<\/jats:p>","DOI":"10.3233\/faia220584","type":"book-chapter","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:04Z","timestamp":1671609844000},"source":"Crossref","is-referenced-by-count":1,"title":["Tribological Property Behavior of Sinusoidal Texture with Various Intervals Under Scarce Oil Supply"],"prefix":"10.3233","author":[{"given":"Jian","family":"Ma","sequence":"first","affiliation":[{"name":"College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yancong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, China"},{"name":"Shandong Institute of Petroleum and Chemical Technology, Dongying, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoshuang","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Proceedings of CECNet 2022"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220584","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:05Z","timestamp":1671609845000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220584"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,13]]},"ISBN":["9781643683683","9781643683690"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220584","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,13]]}}}