Advances in Manufacturing ›› 2025, Vol. 13 ›› Issue (4): 813-830.doi: 10.1007/s40436-025-00546-z
Bo-Wen Song1, Da-Wei Zhang1, Xiu-Bing Jing1, Ying-Ying Ren1, Yun Chen2, Huai-Zhong Li3
Received:2024-03-15
Revised:2024-05-28
Published:2025-12-06
Contact:
Xiu-Bing Jing Email:E-mail:jingxiuping@tju.edu.cn;Huai-Zhong Li Email:E-mail:h.li@griffith.edu.au
E-mail:jingxiuping@tju.edu.cn;h.li@griffith.edu.au
Supported by:Bo-Wen Song, Da-Wei Zhang, Xiu-Bing Jing, Ying-Ying Ren, Yun Chen, Huai-Zhong Li. Enhanced cutting force model in micro-milling incorporating material separation criterion[J]. Advances in Manufacturing, 2025, 13(4): 813-830.
| [1] Jing X, Zheng Z, Xu J et al (2022) Stability analysis in micro milling based on p-leader multifractal method. J Manuf Process 77:495-507 [2] Chen N, Li HN, Wu J et al (2021) Advances in micro milling: from tool fabrication to process outcomes. Int J Mach Tools Manuf 160:103670. https://doi.org/10.1016/j.ijmachtools.2020.103670 [3] Balázs BZ, Geier N, Takács M et al (2021) A review on micro-milling: recent advances and future trends. Int J Adv Manuf Technol 112:655-684 [4] Zhang X, Ehmann KF, Yu T et al (2016) Cutting forces in micro-end-milling processes. Int J Mach Tools Manuf 107:21-40 [5] Malekian M, Park SS, Jun MBG (2009) Modeling of dynamic micro-milling cutting forces. Int J Mach Tools Manuf 49:586-598 [6] Ozturk S, Altan E (2012) A slip-line approach to the machining with rounded-edge tool. Int J Adv Manuf Technol 63:513-522 [7] Jin X, Altintas Y (2011) Slip-line field model of micro-cutting process with round tool edge effect. J Mater Process Technol 211:339-355 [8] Jing X, Lv R, Chen Y et al (2020) Modelling and experimental analysis of the effects of run out, minimum chip thickness and elastic recovery on the cutting force in micro-end-milling. Int J Mech Sci 176:105540. https://doi.org/10.1016/j.ijmecsci.2020.105540 [9] Denkena B, Michaelis A, Herrmann M et al (2020) Influence of tool material properties on the wear behavior of cemented carbide tools with rounded cutting edges. Wear 456/457:203395. https://doi.org/10.1016/J.WEAR.2020.203395 [10] Hu C, Zhuang K, Weng J et al (2019) Thermal-mechanical model for cutting with negative rake angle based on a modified slip-line field approach. Int J Mech Sci 164:105167. https://doi.org/10.1016/j.ijmecsci.2019.105167 [11] Waldorf DJ, Devor RE, Kapoor SG (1998) A slip-line field for ploughing during orthogonal cutting. J Manuf Sci Eng 120:693-699 [12] Yuan Y, Jing X, Ehmann KF et al (2018) Modeling of cutting forces in micro end-milling. J Manuf Process 31:844-858 [13] Yun HT, Heo S, Lee MK et al (2011) Ploughing detection in micromilling processes using the cutting force signal. Int J Mach Tools Manuf 51:377-382 [14] Malekian M, Mostofa MG, Park SS et al (2012) Modeling of minimum uncut chip thickness in micro machining of aluminum. J Mater Process Technol 212:553-559 [15] Qu D, Wang B, Gao Y et al (2021) A comprehensive micro-milling force model for a low-stiffness machining system. J Manuf Sci Eng-Trans ASME 143:111004. https://doi.org/10.1115/1.4051005 [16] Cappellini C, Abeni A, Attanasio A (2023) Modelling of micro-milling by considering tool run-out and ploughing regime. Procedia CIRP 118:402-407 [17] Chen N, Li L, Wu J et al (2019) Research on the ploughing force in micro milling of soft-brittle crystals. Int J Mech Sci 155:315-322 [18] Arsecularatne JA (1997) On tool-chip interface stress distributions, ploughing force and size effect in machining. Int J Mach Tools Manuf 37:885-899 [19] Jacobson S, Wallén P (1988) A new classification system for dead zones in metal cutting. Int J Mach Tools Manuf 28:529-538 [20] Wan M, Li Y, Wen DY et al (2022) On cutting process damping for small cutters by including the influences of the dead metal zone and elastic recovery. J Mater Process Technol 306:117608. https://doi.org/10.1016/j.jmatprotec.2022.117608 [21] Uysal A, Ozturk S, Altan E (2015) An experimental study on dead metal zone in orthogonal cutting with worn rounded-edge cutting tools. Int J Mater Prod Technol 51:401-412 [22] Wan M, Wen DY, Ma YC et al (2019) On material separation and cutting force prediction in micro milling through involving the effect of dead metal zone. Int J Mach Tools Manuf 146:103452. https://doi.org/10.1016/j.ijmachtools.2019.103452 [23] Hu C, Wang J, Lin L et al (2022) Characterization of material flow mechanism for chamfered tools utilizing coupled slip-line-slab method. J Mater Process Technol 300:117424. https://doi.org/10.1016/j.jmatprotec.2021.117424 [24] Kim CJ, Mayor JR, Ni J (2004) A static model of chip formation in microscale milling. J Manuf Sci Eng 126:710-718 [25] Han J, Ma R, Kong L et al (2022) Investigation on chip formation mechanism of high-aspect-ratio micro-milled structures. J Manuf Process 80:743-753 [26] Song B, Jing X, Yang H et al (2023) On unsteady-cutting state material separation and dead metal zone modeling considering chip fracture. J Manuf Process 108:62-78 [27] Cappellini C, Abeni A (2024) An analytical micro-milling force model based on the specific cutting pressure-feed dependence, in presence of ploughing and tool run-out effects. J Manuf Process 116:224-245 [28] Bao WY, Tansel IN (2000) Modeling micro-end-milling operations. Part I: analytical cutting force model. Int J Mach Tools Manuf 40:2155-2173 [29] Bao WY, Tansel IN (2000) Modeling micro-end-milling operations. Part II: tool run-out. Int J Mach Tools Manuf 40:2175-2192 [30] Li C, Lai X, Li H et al (2007) Modeling of three-dimensional cutting forces in micro-end-milling. J Micromech Microeng 17:671. https://doi.org/10.1088/0960-1317/17/4/001 [31] Zhou Y, Tian Y, Jing X et al (2017) A novel instantaneous uncut chip thickness model for mechanistic cutting force model in micro-end-milling. Int J Adv Manuf Technol 93:2305-2319 [32] Jing X, Lv R, Song B et al (2021) A novel run-out model based on spatial tool position for micro-milling force prediction. J Manuf Process 68:739-749 |
| [1] | Chao-Jun Zhang, Song-Qing Li, Pei-Xuan Zhong, Fei-Fan Zhang, Wen-Jun Deng. Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining [J]. Advances in Manufacturing, 2025, 13(2): 395-412. |
| [2] | Zhen-Jing Duan, Shuai-Shuai Wang, Shu-Yan Shi, Ji-Yu Liu, Yu-Heng Li, Zi-Heng Wang, Chang-He Li, Yu-Yang Zhou, Jin-Long Song, Xin Liu. Surface quality evaluation of cold plasma and NMQL multi-field coupling eco-friendly micro-milling 7075-T6 aluminum alloy [J]. Advances in Manufacturing, 2025, 13(1): 69-87. |
| [3] | Guo-Liang Liu, Jin-Tao Zheng, Chuan-Zhen Huang, Shu-Feng Sun, Xin-Fu Liu, Long-Jie Dai, De-Xiang Wang, Xiang-Yu Wang. Coupling effect of micro-textured tools and cooling conditions on the turning performance of aluminum alloy 6061 [J]. Advances in Manufacturing, 2023, 11(4): 663-681. |
| [4] | Lorcan O'Toole, Feng-Zhou Fang. Optimal tool design in micro-milling of difficult-to-machine materials [J]. Advances in Manufacturing, 2023, 11(2): 222-247. |
| [5] | Long-Xu Yao, Zhan-Qiang Liu, Qing-Hua Song, Bing Wang, Yu-Kui Cai. Effects of process parameters on periodic impact force exerting on cutting tool in ultrasonic vibration-assisted oblique turning [J]. Advances in Manufacturing, 2022, 10(3): 411-427. |
| [6] | Ming-Xian Xu, Liang-Shan Xiong, Bao-Yi Zhu, Ling-Feng Zheng, Kai Yin. Experimental research on the critical conditions and critical equation of chip splitting when turning a C45E4 disc workpiece symmetrically with a high-speed steel double-edged turning tool [J]. Advances in Manufacturing, 2022, 10(2): 159-174. |
| [7] | Kai-Ning Shi, Ning Liu, Cong-Le Liu, Jun-Xue Ren, Shan-Shan Yang, Wei Chit Tan. Indirect approach for predicting cutting force coefficients and power consumption in milling process [J]. Advances in Manufacturing, 2022, 10(1): 101-113. |
| [8] | Lorcan O'Toole, Cheng-Wei Kang, Feng-Zhou Fang. Precision micro-milling process: state of the art [J]. Advances in Manufacturing, 2021, 9(2): 173-205. |
| [9] | Xiao-Fen Liu, Wen-Hu Wang, Rui-Song Jiang, Yi-Feng Xiong, Kun-Yang Lin. Tool wear mechanisms in axial ultrasonic vibration assisted milling in-situ TiB2/7050Al metal matrix composites [J]. Advances in Manufacturing, 2020, 8(2): 252-264. |
| [10] | Wei Zhao, Asif Iqbal, Ding Fang, Ning He, Qi Yang. Experimental study on the meso-scale milling of tungsten carbide WC-17.5Co with PCD end mills [J]. Advances in Manufacturing, 2020, 8(2): 230-241. |
| [11] | Qi-Sen Chen, Li Dai, Yu Liu, Qiu-Xiang Shi. A cortical bone milling force model based on orthogonal cutting distribution method [J]. Advances in Manufacturing, 2020, 8(2): 204-215. |
| [12] | Xiao-Guang Guo, Ming Li, Zhi-Gang Dong, Rui-Feng Zhai, Zhu-Ji Jin, Ren-Ke Kang. Smooth particle hydrodynamics modeling of cutting force in milling process of TC4 [J]. Advances in Manufacturing, 2019, 7(4): 364-373. |
| [13] | Cesar Giovanni Cabrera, Anna Carla Araujo, Daniel Alves Castello. On the wavelet analysis of cutting forces for chatter identification in milling [J]. Advances in Manufacturing, 2017, 5(2): 130-142. |
| [14] | Satyanarayana Kosaraju Venu Gopal Anne. Optimal machining conditions for turning Ti-6Al-4V using response surface methodology [J]. Advances in Manufacturing, 2013, 1(4): 329-339. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
Tel: 86-21-66135510
Fax: 86-21-66132736
E-mail: aim@oa.shu.edu.cn