Temperature prediction of robotic belt grinding of blade edges under contact elastic deformation

被引：0
|
作者：
Zhu D. [1 ,2 ]
Liu Y. [1 ,2 ]
Qian C. [1 ,2 ]
Lyu Y. [1 ,2 ]
机构：
[1] Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan
[2] Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2022年 / 50卷 / 02期
关键词：
Blade leading and trailing edges; Combined modulus of elasticity; Contact elastic deformation; Robotic belt grinding; Temperature prediction;
D O I：
10.13245/j.hust.220208
中图分类号：
学科分类号：
摘要：
Aiming at the problem of low prediction temperature caused by only considering the elastic modulus of elastic rubber outside the contact wheel in the existing temperature calculation model, a method for predicting the robotic belt grinding temperature at the blade edges under the influence of contact wheel-blade contact elastic deformation was proposed. Firstly, the combined elastic modulus of the aluminum alloy core and external elastic rubber was calculated according to the elastic modulus formula. Secondly, both the contact area and material removal depth when considering the combined elastic modulus of the contact wheel were calculated based on the Hertzian elastic contact theory. Thirdly, the energy partition during the grinding process was determined to obtain the heat flux transferred into the blade edges. The ANSYS software was used to simulate the temperature distribution at the blade edges when considering the combined elastic modulus of the contact wheel and only considering the elastic modulus of the elastic rubber under different parameters, and the results were compared with the experimental values. The results show that the average relative error between the simulated temperature and experimental values considering the combined elastic modulus of the contact wheel is 13.9%, which verifies the rationality of the proposed method. This method also can provide an optimized strategy for the local burn control of blade edges in the future work. © 2022, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
引用
收藏
页码：44 / 49
页数：5
相关论文
共 18 条
  • [1] XU X H, ZHU D H, WANG J S, Et al., Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere, Robotics and Computer-Integrated Manufacturing, 51, pp. 189-201, (2018)
  • [2] FAN Q, GONG Z Y, ZHANG S Y, Et al., A vision-based fast base frame calibration method for coordinated mobile manipulators, Robotics and Computer-Integrated Manufacturing, 68, (2021)
  • [3] LV Y J, PENG Z, QU C, Et al., An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model, Robotics and Computer-Integrated Manufacturing, 66, (2020)
  • [4] MA K W, HAN L, SUN X X, Et al., A path planning method of robotic belt grinding for workpieces with complex surfaces, IEEE/ASME Transactions on Mechatronics, 25, 2, pp. 728-738, (2020)
  • [5] 57, 7
  • [6] 57, 7
  • [7] YANG Z Y, CHU Y, XU X H, Et al., Prediction and analysis of material removal characteristics for robotic belt grinding based on single spherical abrasive grain model, International Journal of Mechanical Sciences, 190, (2021)
  • [8] 42
  • [9] XIAO G J, HUANG Y., Equivalent self-adaptive belt grinding for the real-R edge of an aero-engine precision-forged blade, International Journal of Advanced Manufacturing Technology, 83, 9, pp. 1697-1706, (2015)
  • [10] (2016)
12