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1.广东工业大学 精密电子制造技术与装备国家重点实验室, 广东 广州 510006
2.香港理工大学 工业与系统工程学系 超精密加工技术国家重点实验室, 香港 999077
[ "李佩铮(1996-),男,山东青岛人,硕士研究生,2019年于山东理工大学获得学士学位,主要从事超精密飞刀切削硬脆材料光学自由曲面碎裂损伤机理及抑制方法的研究。E-mail: 12173838@qq.com" ]
[ "孙占文(1988-),男,副教授,硕士生导师,2011年于长春理工大学获得学士学位,2015年于哈尔滨工业大学获得硕士学位,2019年于香港理工大学大学获得博士学位,主要从事光学元件超精密加工工艺、硬脆材料损伤机理等方面的研究。E-mail: zw.sun@gdut.edu.cn" ]
收稿日期:2022-05-17,
修回日期:2022-06-10,
纸质出版日期:2022-08-10
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李佩铮,杜雪,孙占文等.红外光学微结构表面的高效自适应飞刀切削[J].光学精密工程,2022,30(15):1845-1856.
LI Peizheng,DU Xue,SUN Zhanwen,et al.Efficient adaptive flying cutting for infrared optics micro-structured surfaces[J].Optics and Precision Engineering,2022,30(15):1845-1856.
李佩铮,杜雪,孙占文等.红外光学微结构表面的高效自适应飞刀切削[J].光学精密工程,2022,30(15):1845-1856. DOI: 10.37188/OPE.20223015.1845.
LI Peizheng,DU Xue,SUN Zhanwen,et al.Efficient adaptive flying cutting for infrared optics micro-structured surfaces[J].Optics and Precision Engineering,2022,30(15):1845-1856. DOI: 10.37188/OPE.20223015.1845.
为了实现红外光学微结构表面的高效、高精度、低损伤加工,提出了一种超精密自适应飞刀切削方法,并进行了实验验证。根据飞刀切削的运动学特性,建立了飞刀切削塑性加工模型。以最大切屑厚度始终小于脆塑转变临界为原则,根据微结构表面的局部形貌特征,采用迭代算法规划出具有动态变化进给速度的刀具轨迹。最后,将所提出方法与传统飞刀切削方法进行对比实验,验证了所提出自适应飞刀切削方法的有效性。通过实验成功在单晶硅材料上加工了无脆性断裂的微沟槽,表面粗糙度达到18 nm。与传统飞刀切削方法相比,超精密自适应飞刀切削方法在不降低进给速度的前提下,避免了脆性断裂,加工效率是传统方法的2.5倍。
In the processing of infrared optical microstructured surfaces, the hard, brittle, and difficult-to-machine properties of infrared optical materials and the complex geometric properties of microstructured surfaces lead to uneven and brittle fractures in the processed microstructured surfaces and reduce the face shape accuracy. Small feeds are now commonly used to suppress surface fragmentation but are inefficient. To achieve efficient, high-precision, and low-damage machining of infrared optical microstructured surfaces, an ultra-precise adaptive flying cutting method was proposed and experimentally validated in this study. First, based on the kinematic characteristics of flying cutting, a flying cutting plasticity machining model was established. Second, based on the principle whereby the maximum chip thickness was always less than the brittle-plastic transition threshold, an iterative algorithm was used to plan a tool trajectory with dynamically varying feed rates based on the local morphological characteristics of the microstructured surface. Finally, the effectiveness of the proposed adaptive flying cutting method was verified by comparing it with the conventional flying cutting method in experiments. Experiments show that microgrooves are successfully machined without brittle fracture on single-crystal silicon materials and that a surface roughness of 18 nm is achieved. Compared with conventional flying tool cutting methods, the proposed ultra-precision adaptive flying cutting method avoids brittle breakage without reducing feed rates and achieves 2.5 times the machining efficiency of conventional methods.
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