Development of a probabilistic algorithm of surface residual materials on Si3N4 ceramics under longitudinal torsional ultrasonic grinding. Issue 9 (1st May 2022)

• Record Type: Journal Article
• Authors: Zhang, Zhaoqing; Shi, Kaining; Huang, Xinchun; Shi, Yaoyao; Zhao, Tao; He, Zhe; Song, Yihui
• Is Part Of: Ceramics international. Volume 48:Issue 9(2022)
• Page Start: 12028
• Page End: 12037
• Publication Date: 2022-05-01
• Subjects: Si3N4 Ceramics -- Longitudinal torsional ultrasonic grinding -- Surface residual materials -- 3-D surface topography -- 3-D surface roughness; Ceramics -- Periodicals; Céramique industrielle -- Périodiques; Ceramics; Periodicals; Electronic journals; 666
• DOI: 10.1016/j.ceramint.2022.01.060
• Languages: English
• ISSNs: 0272-8842

Abstract

Abstract: Longitudinal torsional ultrasonic-assisted grinding (LTUG) is one of the main methods to achieve high-quality and high-efficiency machining of high-performance ceramic materials. However, it isn't easy to accurately characterize the three-dimensional (3-D) surface topography due to multiple random factors during LTUG. Aiming at the complex surface features caused by multiple random factors in the LTUG of Si3N4 ceramics, a probabilistic algorithm for the height of residual material on the surface (HRMS) in LTUG of Si3N4 ceramic was proposed, and the prediction model for the 3-D surface topography and 3-D surface roughness parameters of Si3N4 ceramics in LTUG was established by using this algorithm. Simulation and experimental results show that the prediction model of 3-D surface topography and 3-D surface roughness established by the HRMS algorithm can more realistically predict the general characteristics of 3-D surface topography in LTUG under different process parameters, and the error range of the 3-D surface roughness parameter is 0–14.07%, which realizes the high-precision and high-reliability prediction of the 3-D surface topography and 3-D surface roughness parameters of the Si3N4 ceramic under LTUG.