Skip to Main Content
Keywords: Gauss–Newton iterative algorithm
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Predicting wear depth of AISI 52100 steel via a Gauss–Newton model based on surface roughness and lubricant film parameter

Sifan Jiang, Chenrui Zhu, Bo Yang, Zichen Shang, Hongping Qiu, Keyi Bao, Sheng Han, Jincan Yan
Journal: Industrial Lubrication and Tribology
Industrial Lubrication and Tribology 1–11.
https://doi.org/10.1108/ILT-04-2026-0187
Published: 14 July 2026
... Limited 2026 Emerald Publishing Limited Licensed re-use rights only Gauss–Newton iterative algorithm Surface roughness Wear depth prediction Lubricant film parameter Wear model National Natural Science Foundation of China 22075183 22008155 22278269 21975161 Industrial...
View article titled, Predicting wear depth of AISI 52100 steel via a Gauss–Newton model based on surface roughness and lubricant film parameter
Open the PDF for Predicting wear depth of AISI 52100 steel via a Gauss–Newton model based on surface roughness and lubricant film parameter in another window
Add to Citation Manager for Predicting wear depth of AISI 52100 steel via a Gauss–Newton model based on surface roughness and lubricant film parameter
Includes: Supplementary data
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal