王健刚，男，1996年生，山东东营人，2025年获长江大学工学博士学位。发表核心及以上论文11篇，其中SCI 6篇，授权发明专利2篇。

研究领域：油气装备设计、仿真以及数字孪生技术。

代表性成果：

" A digital twin modeling and application for gear rack drilling rigs lifting system "; S.R; 2024

" Study the muti-bolt fastening under different load positions in gear rack drilling rig "; P.O.; 2023

" Investigation of the pinion mounting position design for Jack up mechanism in top pressurized drilling rig "; S.I.; 2024

" Structure optimization of DTH hammer piston based on RBF neural network and WSO algorithm "; AICFM 16; 2021

" Structure optimization of DTH hammer piston based on RBF neural network and WSO algorithm "; AICFM 17; 2023

" 数字孪生技术在油气钻完井工程的应用与思考 "; 石油钻探技术; 2024

" 油气装备数字孪生技术研究与应用 "; 石油钻探技术; 2025

" Failure analysis of an offshore drilling casing under harsh working conditions "; E.F.A.; 2021

发明专利: "一种推杆式三维水力振荡器"; 2020

发明专利: "一种水泥车密度计在线清洗装置"; 2023