ORIGINAL RESEARCH article
Front. Mech. Eng.
Sec. Tribology
Study on Robotic Projectile Launching Based on Multi-Factor Analysis and Parameter Optimization
Provisionally accepted
- 1Hangzhou Institute for Advanced Study, University of Chinese Academy of Science, Hangzhou, China
- 2University of the Chinese Academy of Sciences, Beijing, China
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The precision of projectile launching mechanisms, which utilize counter-rotating friction wheels, is critical for system effec-tiveness. This study introduces a hybrid approach combining multi-physics simulation with an intelligent optimization algo-rithm to determine key design parameters. Initially, Finite Element Analysis (FEA) and kinematics simulations were conducted on a 3D model to generate a comprehensive dataset linking operational conditions to projectile dynamics. This dataset then served to train a neural network for velocity prediction. Subsequently, a genetic algorithm was implemented to optimize the friction coefficient and inter-wheel gap by targeting a desired exit velocity range. The proposed methodology successfully identifies optimal parameter configurations, offering a robust, data-driven solution to a complex design challenge.
Keywords: Projectile launch, Kinematic simulation, Finite Element Analysis, Neuralnetwork, parameter optimization
Received: 17 Sep 2025; Accepted: 24 Nov 2025.
Copyright: © 2025 Luo, Chen, Cheng, Lin, Wang and Yin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiongfei Yin, yinxiongfei888@163.com
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