Evidence map›Paper›PMID 40624125›Full record

ArticleScientific reports2025

Analysis of performance and optimization of Iron Roughneck Tong Dies parameters.

Donghe Han, Yongbai Sha, Xiaoying Zhao, Congzhi Liu, Kangshuai Yang, Baihan Su

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Donghe HanKey Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China.
Yongbai ShaKey Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China. shayb@jlu.edu.cn.
Xiaoying Zhao *Changchun Polytechnic University, Changchun, 130033, China.
Congzhi Liu *Key Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China.
Kangshuai Yang *Key Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China.
Baihan Su *Gongzhuling Changchun XI High School Silicon Valley School, Changchun, 136100, China.

Funding

Department of Science and Technology of Jilin Province 20220201037GX
6 · The paper itself

Abstract

In automated drilling operations within the oilfield industry, the Iron Roughneck represents the most advanced torque screwing equipment currently available. It is primarily used for the make-up and break-out of drill pipes, casings, and other drilling tools, making it an indispensable component of modern drilling automation. Among its key components, the Tong Dies play a crucial role, as their quality directly affects the operational efficiency of the Iron Roughneck and the service life of tubular components. However, research on Tong Dies remains limited, with most existing studies employing orthogonal optimization methods. While these studies address localized optimization issues, they have yet to achieve a globally optimal design. This study systematically analyzes the key factors influencing the performance of Iron Roughneck Tong Dies based on their actual working conditions. The analysis includes the biting depth of the Tong Dies on the drill string and the equivalent friction coefficient between the Tong Dies and the drill pipe. Building on these insights, a global parameter optimization is conducted for critical design parameters, including the tooth apex angle, tooth height, and tooth spacing. The goal is to identify an optimal parameter combination that maximizes the equivalent friction coefficient while maintaining a minimal biting depth, thereby improving performance. Furthermore, by conducting a strength analysis of the Tong Dies and comparative experiments before and after optimization, this study verifies the significant performance improvements achieved through optimization. The findings provide a theoretical foundation and an optimization methodology for the design and application of Iron Roughneck Tong Dies.

Indexed as

Bite depthFriction coefficientIron RoughneckParameter optimizationStrength analysisTong Dies

Identifiers

PMID40624125
PMCPMC12234713

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