Size Optimal Design of an Internal Grinding Machine based on Stiffness Analysis

被引:0
作者
Park S.H. [1 ]
Ko H.B. [1 ]
Kang H.L. [1 ]
Han S.H. [1 ]
机构
[1] Dept. of Mechanical Engineering, Dong-A Univ.
关键词
Dynamic Stiffness; Internal Grinding Machine; Response Surface Model; Size Optimal Design; Static Stiffness; Wheel Bearing;
D O I
10.5370/KIEE.2022.71.5.708
中图分类号
学科分类号
摘要
The internal grinding machine is a precision grinder used when producing the outer race of automobile wheel bearings, whose surface roughness should be ensured within a 0.6μm. A machining procedure with such precision is affected significantly by the structural rigidity of grinding wheel set and support structure. The structural rigidity parameters, such as static and dynamic stiffness, are crucial in high efficiency grinding to ensure a high accuracy surface roughness. Therefore, it is necessary to ensure the sufficient static and dynamic stiffness of the grinding wheel set and support structure, in which a lightweight design should be carried out via a size optimal design technique. In this study, a dynamic analysis was conducted to evaluate the static and dynamic stiffness parameters of the support structure for the internal grinding machine. These stiffness parameters were estimated numerically using the static and dynamic compliances obtained through the dynamic analysis under harmonic excitation. The size optimal design was carried out to identify the optimal design variables, such as a thickness of 43 ribs in the support structure, while the static and dynamic stiffness parameters required for a precision machining were maintained at 200 and 37N/μm, respectively. The result of the lightweight design indicated that the weight of the support structure was decreased approximately 10% compared with that of the initial design. © 2022 The Korean Society of Mechanical Engineers.
引用
收藏
页码:461 / 469
页数:8
相关论文
共 20 条
[1]  
Kim W. G., Bae D. S., Lee S. P., Seong S. K., Life Prediction Method of Wheel Bearings Considering the Dynamic Characteristics, Proc. of the KSME Annual Conference, pp. 776-779, (2014)
[2]  
Lee S. P., Kim B. C., Lee I. H., Cho Y. G., Kim Y. C., Distortion Analysis for Outer Ring of Automotive Wheel Bearing, Trans. Korean Soc. Mech. Eng. A, 36, 12, pp. 1613-1618, (2012)
[3]  
Yoon J. Y., Yang S. J., Choi J. H., Park S. W., Lee S. C., The Roundness Inspection of Bearing Inner/Outer Race based on Machine Vision, Proc. of the KSPE 2007 Spring Annual Meeting, pp. 405-406, (2007)
[4]  
Jurko J., Panda A., Valicek J., Marta H., Iveta. P., Study on Cone Roller Bearing Surface Roughness Improvement and the Effect of Surface Roughness in Tapered Roller Bearing Service Life, Int. J. Adv. Manuf. Technol, 82, pp. 1099-1106, (2016)
[5]  
Kim S. I., Lee Y. J., Structural and Thermal Sensitivity Analysis of a High-Precision Centerless Grinding Machine for Machining Ferrules, Trans. Korean Soc. Mech. Eng. A, 30, 12, pp. 1634-1641, (2006)
[6]  
Jung Y. M., Jang S. H., Hwang H. Y., Choi Y. H., Ha J. S., Kim S. M., Dynamic Stiffness Evaluation of a 5-Axes Multi-tasking Machine Tool by Using F.E.M. and Random Excitation Test, Proc. of the KSME Annual Conference, pp. 176-180, (2007)
[7]  
Kim I. S., Choi S. J., Ha S. B., Ahn D. K., Choi Y. H., Dynamic Structural Stiffness Evaluation and Design Optimization of a Wafer Grinding Machine, Proc. of the KSME Annual Conference, pp. 3239-3244, (2006)
[8]  
Hong J., Wang Z., Wu W., Chen Y., Optimal Design of Machine Tool Bed by Load Bearing Topology Identification with Weight Distribution Criterion, 45 CIRP Conference on Manufacturing System, pp. 626-631, (2012)
[9]  
Jung Y. M., Jang S. H., Hwang H. Y., Choi Y. H., Ha S. J., Structural Design Optimization and Experimental Stiffness Evaluation of a 5-Axis Multi-tasking Machine Tool, Proc. of the Korean Society of Manufacturing Technology Engineers Conference, pp. 28-33, (2008)
[10]  
ANSYS Mechanical: Mechanical Software, (2020)