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SiC_(p)/Al复合材料超声振动划痕试验及仿真研究

Investigation on Ultrasonic Vibration Scratching Test and Simulation of SiC_(p)/Al Composites Materials
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摘要 针对SiC_(p)/Al复合材料加工质量较差的问题提出了超声振动辅助微尺度加工的策略。通过Python软件构建了SiC陶瓷颗粒随机分布的有限元模型,对普通刻划和超声刻划两种条件下陶瓷颗粒和铝合金基体的材料去除机理进行分析。在有限元仿真分析的基础上,设计了维氏压头超声振动刻划试验,对刻划力、划痕表面形貌和表面粗糙度进行了研究。研究结果表明:普通刻划过程中主要为SiC陶瓷颗粒的脱离和压入,超声刻划过程中主要为陶瓷颗粒破损;超声振动可以有效降低刻划力和划痕粗糙度,从而提高SiC_(p)/Al复合材料的加工质量;普通刻划和超声刻划试验的刻划力均值分别为12.818N和9.258N,仿真和试验之间刻划力的误差为8.7%;普通刻划和超声刻划试验的粗糙度均值分别为0.933μm和0.581μm,仿真和试验之间粗糙度的误差为5.5%。 Aiming at the problem of poor processing quality of SiC_(p)/Al composite materials,this paper proposes a strategy of ultrasonic vibration assisted microscale machining.The SiC ceramic particle random distribution composite material model is constructed using Python software.The material removal mechanism of ceramic particles and aluminum alloy matrix is analyzed under ordinary scratching and ultrasonic scratching.On the basis of finite element simulation analysis,a Vickers indenter ultrasonic vibration scoring test is designed to study the scratching force,scratch surface morphology,and roughness.The research results indicate that SiC ceramics are mainly characterized by particle divorce and squeezing in ordinary scratching,and particle damage in ultrasonic scratching.Ultrasonic vibration can effectively reduce scratching force and scratch roughness,thereby improving the processing quality of SiC_(p)/Al composite materials.The average scratching force of ordinary scratching and ultrasonic scratching tests are 12.818N and 9.258N,respectively,with an error of 8.7%between simulation and testing.The average roughness values of ordinary scoring and ultrasonic scoring tests are 0.933μm and 0.581μm,respectively,with an error of 5.5%between simulation and testing.
作者 王峰 徐文博 黄红涛 杨树峰 Wang Feng;Xu Wenbo;Huang Hongtao;Yang Shufeng
出处 《工具技术》 北大核心 2024年第9期35-41,共7页 Tool Engineering
基金 国家自然科学基金面上项目(52075561)。
关键词 铝基碳化硅 超声振动 划痕试验 有限元仿真 材料去除机理 SiC_(p)/Al ultrasonic vibration scratching test finite element simulation material removal mechanisms
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