Statistical Analysis of Surface Texture Performance With Provisions With Uncertainty in Texture Dimensions

IEEE Access

Fan Mo¹  Jia Zhou¹  Michael M. Khonsari²  Cong Shen² 

[1] Department of Industrial Engineering, Chongqing University, Chongqing, China;Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, USA;

关键词: Dimension uncertainties;    parameter optimization;    statistical simulation;    surface textures;   

DOI  :  10.1109/ACCESS.2017.2694608

来源: DOAJ

【 摘 要 】

The performance of surface textures with dimensional uncertainty due to the manufacturing process is investigated with statistical models. The uncertainty parameters are geometrical dimensions (i.e., dimple diameter, area ratio, and dimple depth) and the performance parameters include the friction force, the load-carrying capacity, and the coefficient of friction. The results show that logarithmic models provide an excellent fit to the data and can explain more than 99.98% of the variance in data. The most critical geometric parameter for the coefficient of friction and the load-carrying capacity is found to be the dimple diameter, whereas the most critical geometric parameter for the friction force is the area ratio. Manufacturing errors that follow normal distribution with three-sigma quality are found to be insignificant. Under the conditions simulated, it is determined that a dimple diameter of 1883 μm and a dimple depth of 5.5~6.5 μm yield optimal performance when operating in the hydrodynamic lubrication regime. The area ratio is the key parameter and must be determined based on the requirements of the load-carrying capacity and the coefficient of friction.

【 授权许可】

Unknown