Inversion of thermal properties of lunar soil from penetration heat of projectile using a 2D axisymmetric model and optimized PSO algorithm

Frontiers in Materials

Materials

Yahui Tian¹  Honglang Li²  Zixiao Lu²  Fan Li³  Junhao Cao⁴  Shengyuan Jiang⁵  Weiwei Zhang⁵  Cheng Chi⁵  Junyue Tang⁵ 

[1] Institute of Acoustics Chinese Academy of Sciences, Beijing, China;National Center for Nanoscience and Technology, Beijing, China;National Center for Nanoscience and Technology, Beijing, China;University of Chinese Academy of Sciences, Beijing, China;School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan, China;State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China;

关键词: inversion;    thermophysical parameters;    lunar soil;    penetration;    particle swarm optimization;   

DOI  :  10.3389/fmats.2022.958813

 received in 2022-06-01, accepted in 2022-09-13,  发布年份 2022

来源: Frontiers

【 摘 要 】

The thermophysical parameters of lunar soil can be inferred from the temperature field during the invasion process of reconnaissance projectile. This paper adopts a two-dimensional axisymmetric model to reconstruct the projectile invasion process. An optimized particle swarm optimization method is then used to retrieve the thermophysical parameters of lunar soil. When the reconnaissance projectile penetrates the lunar interior, it rubs against the lunar soil and generates heat, which diffuses between the projectile body and the lunar soil. The sensors inside the reconnaissance projectile measure the temperature variation of the projectile body to inverse the thermophysical parameters. This paper carried out physical modeling of the penetration process of reconnaissance projectile. A two-dimensional axisymmetric simulation model is constructed for the physical process, and the adaptive inertial weight particle swarm algorithm is adopted. The inversion experiment of lunar soil thermophysical parameters based on the simulation model shows that the inversion error is less than 10%, which verifies the feasibility of this method.

【 授权许可】

Unknown   
Copyright © 2022 Li, Li, Lu, Cao, Zhang, Tang, Tian, Chi and Jiang.