Yinlong Tang
Papers
1
Total Citations
9
H-Index
1
About
Yinlong Tang is a mechanical engineer specializing in pipeline robotics and dynamic simulation, with a focus on the locomotion and control of in-pipe inspection and maintenance vehicles. His most-cited work, “Dynamic Simulation Analysis and Experiment of Large-caliber Self-propelled Pipeline Crawler Based on ADAMS” (2021, 9 citations), addresses a critical challenge in pipeline robotics: the uneven force distribution among driving wheels during horizontal travel, climbing, and turning. By combining ADAMS-based multibody dynamics simulation with experimental validation, Tang provides a systematic method for predicting torque requirements and optimizing crawler design—enabling more reliable autonomous operation in large-diameter pipelines. This research bridges theoretical mechanics and practical engineering, offering a foundation for developing robust pipeline inspection robots that can navigate complex geometries without stalling or excessive wear. Tang’s contributions are particularly valuable for the oil, gas, and water infrastructure sectors, where accurate force analysis directly impacts system longevity and operational safety. His work exemplifies how simulation-driven design can solve real-world locomotion problems in confined environments.
Research Focus
Key Achievements
Top Papers
- 1