Surface Quality Improvement for Ultrasonic-Assisted Inner Diameter Sawing with Six-Axis Force Sensors

被引:2
作者
Zhao, Jinghe [1 ]
Wang, Lulu [2 ,3 ]
Jiang, Bo [1 ]
Pei, Yongchen [2 ]
Lu, Huiqi [4 ]
机构
[1] Changchun Guanghua Univ, Sch Mech Engn, Changchun 130033, Peoples R China
[2] Jilin Univ, Sch Mech & Aerosp Engn, Changchun 130025, Peoples R China
[3] FAW Volkswagen Automobile Co Ltd, Changchun 130011, Peoples R China
[4] Univ Oxford, Inst Biomed Engn, Dept Engn Sci, Oxford OX3 7DQ, England
基金
英国工程与自然科学研究理事会; 英国惠康基金;
关键词
normal sawing force model; six-axis force sensor; inner diameter sawing; ultrasonic-assisted machining; alumina ceramics; TOPOGRAPHY; COMPOSITE; SYSTEM; MODEL; HARD;
D O I
10.3390/s23146444
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Ultrasonic-assisted inner diameter machining is a slicing method for hard and brittle materials. During this process, the sawing force is the main factor affecting the workpiece surface quality and tool life. Therefore, based on indentation fracture mechanics, a theoretical model of the cutting force of an ultrasound-assisted inner diameter saw is established in this paper for surface quality improvement. The cutting experiment was carried out with alumina ceramics (99%) as an exemplar of hard and brittle material. A six-axis force sensor was used to measure the sawing force in the experiment. The correctness of the theoretical model was verified by comparing the theoretical modeling with the actual cutting force, and the influence of machining parameters on the normal sawing force was evaluated. The experimental results showed that the ultrasonic-assisted cutting force model based on the six-axis force sensor proposed in this paper was more accurate. Compared with the regular tetrahedral abrasive model, the mean value and variance of the proposed model's force prediction error were reduced by 5.08% and 2.56%. Furthermore, by using the proposed model, the sawing processing parameters could be updated to improve the slice surface quality from a roughness Sa value of 1.534 & mu;m to 1.129 & mu;m. The proposed model provides guidance for the selection of process parameters and can improve processing efficiency and quality in subsequent real-world production.
引用
收藏
页数:17
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