Modelling of surface roughness in elliptical vibration cutting of ductile materials

被引:9
|
作者
Jiao, Zhenhua [1 ]
Kang, Renke [1 ]
Zhang, Jianguo [2 ]
Du, Dongxing [3 ]
Guo, Jiang [1 ]
机构
[1] Dalian Univ Technol, Key Lab Precis & Nontradit Machining, Minist Educ, Dalian 116024, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[3] China Acad Engn Phys, Inst Mech Mfg Technol, Mianyang 621999, Sichuan, Peoples R China
来源
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY | 2022年 / 78卷
基金
中国国家自然科学基金;
关键词
Elliptical vibration cutting; Surface roughness; Surface topography; Diamond tool; Pure iron; MATERIAL SIDE FLOW; GENERATION; TOPOGRAPHY; THICKNESS; RECOVERY;
D O I
10.1016/j.precisioneng.2022.07.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Elliptical vibration cutting (EVC) is a widely used ultra-precision machine technology. However, the surface roughness prediction of EVC is difficult for the complicated surface generation process. In this paper, the surface generation mechanism of EVC is elucidated. A new surface roughness model is proposed considering the roughness in the nominal cutting direction (NCD) and feed direction (FD). The roughness in the NCD is determined by kinematics, tool edge radius, tool flank face interference, and material spring back. For the first time, the influence of material spring back in previous cutting cycle on surface roughness generation is considered in EVC along the NCD. The roughness in the FD is determined by kinematics, tool nose radius, shift distance, tool interference, material spring back and material pile-up. The material spring back is determined by using a function of the plastic strain of workpiece material in the third deformation zone and the minimum undeformed chip thickness. For calculating the roughness component of material pile-up, a function related to tool edge radius, depth of cut, residual height caused by tool nose radius and feed rate is constructed. The experimental results show that the proposed model has a high prediction accuracy. According to the model, the influencing mechanism of various machining factors on the surface roughness variation is clarified and a high-efficiency machining method without deteriorating surface roughness is obtained.
引用
收藏
页码:19 / 39
页数:21
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