Experimental study of GCr15 steel in ultrasonic rolling process

ABSTRACT

To improve the surface quality of GCr15 steel parts, research on GCr15 steel strengthening is of great significance. In the present study, the variation in the surface roughness and the surface residual stress was analysed following ultrasonic rolling of GCr15 steel. Specifically, the influence of the parameters of the ultrasonic rolling process on the surface roughness and surface residual stress was investigated. The surface roughness of the sample increased with increasing feed rate and rotation speed in the ultrasonic rolling process. With increasing static pressure and repeated rolling, the roughness of the sample first decreased and then increased. The residual compressive stress of the surface layer decreased with increasing feed rate and rotation speed and increased with increasing static pressure and repeated rolling. Additionally, as the static pressure was increased, the location of the peak residual compressive stress moved gradually from the sample surface to deeper within the layer.

KEYWORDS:

• Ultrasonic rolling process
• gcr15 steel
• surface quality
• surface roughness
• residual stress

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors are grateful for financial support received from the National Natural Science Foundation of China (grant nos. 51475146, 51475366 and 51075124); National Natural Science Foundation of China: Research on the surface properties and precise control of ultrasonic rolling of thin-walled bearing rings. (U1804145); 2018 National Key R & D Plan: Key Special Project of Manufacturing Technology Foundation and Key Components-Precision Manufacturing and Testing Technology for Rolling Bearings (2018YFB2000405).

Notes on contributors

Hongyu Xu

Hongyu Xu, male, professor, graduate tutor, mainly researching advanced manufacturing technology.

Guolin Yao

Guolin Yao, male, graduate student, majoring in advanced manufacturing technology.

Xiaoqiang Wang

Xiaoqiang Wang, male, professor, graduate tutor, mainly researching precision technology and advanced manufacturing technology.

Libo Liu

Libo Liu, male, graduate student, majoring in advanced manufacturing technology.

Yanyi Huang

Yanyi Huang, male, graduate student, majoring in advanced manufacturing technology.