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超声辅助微细磨料水射流加工陶瓷试验研究
引用本文:陈雪松,侯荣国,王屹桢,张宇,曹茗茗.超声辅助微细磨料水射流加工陶瓷试验研究[J].工具技术,2020(3):7-10.
作者姓名:陈雪松  侯荣国  王屹桢  张宇  曹茗茗
作者单位:山东理工大学机械工程学院
基金项目:国家自然科学基金(51405274)
摘    要:针对陶瓷材料难加工的特性,提出了超声辅助微细磨料水射流加工技术。基于响应曲面法对工程陶瓷进行切槽试验,测量加工沟槽底部表面粗糙度,通过建立表面粗糙度预测模型,分析了系统压力、超声振幅及靶距对加工质量的影响规律。当系统压力为32.8MPa、振幅为16μm、靶距为10mm时,获得最低表面粗糙度为0.746μm。通过试验验证了该预测模型的准确性和有效性。

关 键 词:超声辅助  磨料水射流  响应曲面法  表面粗糙度

Experimental Study on Ultrasonic Assisted Micro Abrasive Waterjet Machining of Ceramic
Chen Xuesong,Hou Rongguo,Wang Yizhen,Zhang Yu,Cao Mingming.Experimental Study on Ultrasonic Assisted Micro Abrasive Waterjet Machining of Ceramic[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2020(3):7-10.
Authors:Chen Xuesong  Hou Rongguo  Wang Yizhen  Zhang Yu  Cao Mingming
Abstract:According to the difficult-to-machine characteristic of ceramic materials,the ultrasonic assisted micro abrasive waterjet machining technology is proposed.Based on the response surface method,the grooving experiments of engineering ceramics are carried out to measure the surface roughness of the bottom surface of the groove.The prediction model of surface roughness is established.The effect of system pressure,the ultrasonic amplitude and the standoff distance on the machining quality are analyzed.When the system pressure is 32.8MPa,the ultrasonic amplitude is 16μm and the standoff distance is 10mm,the minimum surface roughness is 0.746μm.Finally,the accuracy and the effectiveness of the prediction model are verified by verification experiments.
Keywords:ultrasonic assisted  abrasive waterjet  response surface method  surface roughness
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