[1] ZHOU Fangjuan. A new analytical tool-chip friction model in dry cutting[J]. International Journal of Advanced Manufacturing Technology,2014,70(1-4):309-319. [2] 杨超,刘小君,杨海东,等. 表面织构对刀具切削性能及前刀面摩擦特性的影响[J]. 摩擦学学报,2015,35(2):228-235. YANG Chao,LIU Xiaojun,YANG Haidong,et al. Effect of surface texture on cutting performance and friction characteristics of rake face[J].Tribology Journal,2015. 35(2):228-235. [3] 张克栋,邓建新,邢佑强,等. 涂层刀具表面织构化及切削性能研究[J]. 润滑与密封,2015,40(2):8-16. ZHANG Kedong,DENG Jianxin,XING Youqiang,et al. Study on the surface texture and cutting properties of coating tools[J]. Lubrication and Sealing,2015,40(2):8-16. [4] 周后明,罗文懿,龙远强,等. MoS2基固体润滑剂微织构自润滑刀具切削性能的研究[J]. 机械科学与技术,2017,36(8):1307-1312. ZHOU Houming,LUO Wenyi, LONG Yuanqiang,et al. Study on cutting performance of MoS2 Based Solid lubricant micro - texture self - lubrication cutter[J]. Mechanical Science and Technology,2017,36(8):1307-1312. [5] 杨树财,王焕焱,张玉华,等. 多目标决策的微织构球头铣刀切削性能评价[J]. 哈尔滨理工大学学报,2016, 21(6):1-5. YANG Shucai,WANG Huanyi,ZHANG Yuhua,et al. Multi-objective decision-making micro-texture ball milling cutter cutting performance evaluation[J]. Journal of Harbin University of Science and Technology,2016,21(6):1-5. [6] 罗育果,王鹏程,高涛. 低速铣削中表面粗糙度影响因素及切削参数优化研究[J]. 制造技术与机床,2017, 27(7):140-146. LUO Yuguo,WANG Pengcheng,GAO Tao. Influence factors of surface roughness and optimization of cutting parameters in low speed milling[J]. Manufacturing Technology and Machine Tools,2017, 27(7):140-146. [7] 淮文博,唐虹. 表面粗糙度的砂布轮抛光工艺参数区间优化[J]. 航空精密制造技术,2017,53(2):14-18. HUAI Wenbo,TANG Hong. Interval optimization of polishing parameters of emery cloth wheel with surface roughness[J]. Aviation Precision Manufacturing Technology,2017,53(2):14-18. [8] 蔡智杰,刘薇娜,高彬彬,等. 共轨管微小孔磨粒流抛光试验研究与表面粗糙度预测[J]. 机械科学与技术,2017,36(11):17221-1728. CAI Zhijie,LIU Weina,GAO Binbin,et al. Particle flow polishing experiment and surface roughness prediction of common rail micro-hole grinding[J]. Mechanical Science and Technology,2017,36(11):1722-1728. [9] FU Li,LUO Jun,CHEN Weimin,et al. LS-SVM-based surface roughness prediction model for a reflective fiber optic sensor[J]. Chinese Optics Letters,2017,15(9):201-205. [10] SCHWARTZENTRUBER J,SPELT JK,PAPINI M. Prediction of surface roughness in abrasive waterjet trimming of fiber reinforced polymer composites[J]. International Journal of Machine Tools and Manufacture,2017,122(1):1-17. [11] RAFAEL S,VICTOR H,ARMANDO O. The effect of vertical scaling on the estimation of the fractal dimension of randomly rough surfaces[J]. Applied Surface Science,2017,425(1):838-846. [12] BAFABER S A,YUSOFF A R. Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316[J]. Journal of Cleaner Production,2017,157(1):30-46. [13] QU Sheng,ZHAO Jibin,WANG Tianran. Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-Ⅱ[J].International Journal of Advanced Manufacturing Technology,2017, 89(8):2399-2409. [14] 刘东雷,申长雨,刘春太,等. 基于响应曲面法与改进遗传算法的RHCM成型工艺优化[J]. 机械工程学报,2011,47(14):54-61. LIU Donglei,SHEN Changyu,LIU Chuntai,et al. Efficient process parameters optimization of rapid heat cycling molding technology based on response surface methodology and improved genetic algorithm[J]. Journal of Mechanical Engineering,2011,47(14):54-61. [15] 郭宏,焦黎,闫献国,等. 基于二阶响应曲面法的高速钢丝锥寿命预测研究[J]. 北京理工大学学报,2015,35(5):467-470. GUO Hong,JIAO Li,YAN Xianguo,et al. Study on life prediction of high-speed steel tap based on second-order response surface method[J]. Journal of Beijing Institute of Technology,2015,35(5):467-470. [16] FILICE L,MICARI F,SETTINEI L,et al. Wear modelling in mild steel orthogonal cutting when using uncoated carbide tools[J]. Wear,2007,262(5-6):545-554. [17] JIANG Hongwan,HE Lin,YANG Xinyu,et al. Prediction and experimental research on cutting energy of a new cemented carbide coating micro groove turning tool[J]. International Journal of Advanced Manufacturing Technology,2017,89(5-8):2335-2343. |