Analytical modeling of cutting force in machining of SiCp/Al composites by ultrasonic elliptical vibration-assisted turning

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Jiakang Zhou, Mingming Lu, Jieqiong Lin, Xiaoxiao Su, Wenqing Wei
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Abstract

To predict the cutting force in machining of SiCp/Al composites by ultrasonic elliptical vibration-assisted turning (UEVT) technology, a semi-empirical geometric model considering the deformation and friction characteristics in different deformation areas is established in this paper. During UEVT, the resistance force acting on cutting edge is divided into three parts according to different deformation zones: shear force, interface friction, and plowing force. The vibration characteristic functions are also coupled to the semi-empirical geometric model of cutting force. A three factor and four level orthogonal tests is implemented to verify the validity of geometric model, and the single factor cutting experiments are also conducted to evaluate the influence law of relevant parameter on cutting force. Experimental results show that the deviation between the calculated value of cutting force and measured average value is less than 17%, and the average deviation is 8.16%, which proved that the semi-empirical geometric model can effectively predict the cutting force of SiCp/Al composites during UEVT. In addition, the influence of cutting parameters and volume fraction on cutting force is discussed, which provides a theoretical guidance for the outstanding machinability of SiCp/Al composites in UEVT.
超声椭圆振动辅助车削SiCp/Al复合材料切削力分析建模
为了预测超声椭圆振动辅助车削(UEVT)技术加工SiCp/Al复合材料时的切削力,建立了考虑不同变形区域变形和摩擦特性的半经验几何模型。在UEVT过程中,作用在切削刃上的阻力根据不同的变形区分为三部分:剪切力、界面摩擦力和犁耕力。振动特征函数也与切削力的半经验几何模型相耦合。通过三因素四水平正交试验验证几何模型的有效性,并进行单因素切削实验,评价相关参数对切削力的影响规律。实验结果表明,切削力计算值与测量平均值的偏差小于17%,平均偏差为8.16%,证明了半经验几何模型可以有效地预测SiCp/Al复合材料在UEVT过程中的切削力。此外,还讨论了切削参数和体积分数对切削力的影响,为SiCp/Al复合材料在UEVT中优异的可加工性提供了理论指导。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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