Article
Polymer Science
Bin Yang, Hongjian Wang, Kunkun Fu, Chonglei Wang
Summary: In this study, an explicit finite element (FE) model was developed to predict cutting forces and chip morphologies of polymers. The model considered a dual fracture process, strain rate effect, and frictional behavior. Experimental results showed that the predicted fracture toughness, cutting forces, and chip morphologies were consistent with the experimental results. Parametrical analysis revealed that the friction coefficient had the greatest effect on cutting force.
Article
Chemistry, Physical
Pawel Zawadzki, Rafal Talar, Adam Patalas, Stanislaw Legutko
Summary: This study investigates the impact of cutting angle, cutting depth, and cutting direction on cortical bone machining, and confirms that even negative cutting angles can guarantee controlled cutting and have wider applications in surgical procedures.
Article
Automation & Control Systems
Berend Denkena, Benjamin Bergmann, Lars Ellersiek
Summary: Flank face chamfers are effective in suppressing vibrations and increasing milling productivity. The underlying mechanism is the indentation effect, where the indentation of the workpiece material under the flank face results in additional force and process damping. This paper presents a novel method to calculate the process damping coefficient based on process forces measurements in orthogonal cutting. The method considers ploughing effects, cutting edge rounding, and plastic deformation effects. The results show that cutting speed has the most significant influence on the process damping coefficient.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Mechanics
Jie Xu, Yi Deng, Chenxi Wang, Guiqiang Liang
Summary: By proposing an amended friction model, the numerical model was significantly improved in predicting cutting and thrust forces, as well as chip formation. It was demonstrated that the relationship between normal force and friction coefficient is nonlinear in tool-CFRP tangential contact, and the friction coefficient is not a constant value.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Electrical & Electronic
Mingzhou Wu, Guangpeng Zhang, Tianle Wang, Rui Wang
Summary: This study develops a milling force prediction model for slot milling cutters in the critical operation of machining the tongue and groove of the steam turbine rotor. Through experimental data and theoretical analysis, the optimal parameters of the equivalent turning force model and the Johnson-Cook material constitutive equation are determined, validating the effectiveness of the model.
Article
Engineering, Chemical
Wei Wang, Dayong Yang, Rui Wang, Furui Wei, Min Liu
Summary: Graphite/polymer composites are brittle materials, and tool wear during cutting process significantly affects the quality of the machined surface. This study investigated the effects of machining parameters, including cutting speed, cutting thickness, tool rake angle, and rounded edge radius, on cutting forces during orthogonal cutting of graphite/polymer composites. The results showed that reducing cutting thickness and increasing tool rake angle can decrease cutting force. Furthermore, the significance of different machining parameters for cutting forces was analyzed using analysis of variance (ANOVA).
Article
Automation & Control Systems
Fan Chen, Wenbo Bie, Yingli Chang, Bo Zhao, Xiaobo Wang, Yuemin Zhang
Summary: This study introduces a LTC-RUM cutting force model for zirconia ceramics based on the brittle material removal mechanism, and experimentally verifies the closely correlated results with the predicted cutting forces. The maximum discrepancies between the predicted and experimental cutting forces vary with different processing parameters. This research is important for predicting and optimizing the effects of processing parameters on the cutting force during LTC-RUM of ceramics.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Chemistry, Physical
Alliche Mohamed-Amine, Djennane Mohamed, Djebara Abdelhakim, Songmene Victor
Summary: Factor relationships in a machining system do not work in pairs, as changing cutting parameters, materials machined, or volumes produced will influence many machining characteristics. The Johnson-Cook law of behavior's effect on cutting temperature prediction is being investigated, experimentally and theoretically, to better understand tool/material interactions and their impact on dust emission during orthogonal cutting.
Article
Materials Science, Multidisciplinary
Zhijie Wang, Yan Cao, Sergey Gorbachev, Victor Kuzin, Weiliang He, Junde Guo
Summary: This paper conducted finite element analysis on the conventional and high-speed cutting processes of 7075-T6 aluminum alloy, investigating the influence of Johnson Cook constitutive model parameters on cutting force simulation. Results showed that parameter adjustments are necessary for accurate cutting force prediction under different cutting conditions.
Article
Optics
Mingxu Fan, Xiaoqin Zhou, Jinzhou Song
Summary: In this study, the cutting force of glass-ceramic in-situ laser-assisted machining (LAM) was investigated through orthogonal experiments and response surface methodology (RSM) was used to establish a regression model for predicting cutting force. The optimal machining parameters were obtained through RSM and artificial neural network (ANN) with high consistency between the model and experimental values. The study provides guidance and reference for glass-ceramic in-situ LAM and parameter optimization for cutting force.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Engineering, Manufacturing
Jiakang Zhou, Mingming Lu, Jieqiong Lin, Xiaoxiao Su, Wenqing Wei
Summary: In this paper, a semi-empirical geometric model is established to predict the cutting force in machining of SiCp/Al composites by ultrasonic elliptical vibration-assisted turning (UEVT) technology. Experimental results show that the deviation between the calculated value of cutting force and measured average value is less than 17%, with an average deviation of 8.16%, which proves the effectiveness of the semi-empirical geometric model in predicting the cutting force of SiCp/Al composites during UEVT. In addition, the influence of cutting parameters and volume fraction on cutting force is discussed, providing theoretical guidance for the outstanding machinability of SiCp/Al composites in UEVT.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Automation & Control Systems
Xiaoyan Teng, Dehan Xiao, Xudong Jiang
Summary: This paper develops a SPH-FEM coupled model for machining SiC/Al matrix composites and compares the results with an equivalent FE model. The SPH-FEM coupling method is shown to accurately predict cutting force, chip formation, and machined surface morphology, providing an alternative to FEM.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
H. A. Kishawy, W. Ahmed, A. Mohany
Summary: This paper investigates the use of rotary cutting tools for machining difficult materials, presenting an analytical-based model to predict cutting forces and tool rotational speed. The model is validated using previously published experimental results.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Hui Liu, Lillian Rodrigues, Markus Meurer, Thomas Bergs
Summary: The thermal load of the cutting tool is an important process state parameter that directly influences tool wear and dimensional accuracy of the workpiece. Existing temperature models for tool temperature prediction only consider dry process conditions and do not account for convective cooling in non-continuous heat sources. To address this, a new 3D temperature model for cutting tools that incorporates the cooling effect is proposed in this work.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Physical
Haifeng Ning, Hualin Zheng, Guixin Wang
Summary: This study aims to investigate the material removal mechanism in the CFRP cutting process and establish an analytical model for cutting force. The experimental results show that the model is reliable and capable of providing accurate cutting force values.
Article
Engineering, Aerospace
L. Li, Y. J. Hu, X. L. Wang, L. Ling
Article
Engineering, Aerospace
Li Li, Yujin Hu, Xuelin Wang, Ling Ling
Article
Computer Science, Interdisciplinary Applications
J. Yang, Y. J. Hu, S. Kitipornchai
COMPUTERS & STRUCTURES
(2012)
Article
Engineering, Chemical
Z. H. Wu, Y. J. Hu, D. J. Lee, A. S. Mujumdar, Z. Y. Li
Article
Mathematics, Applied
Li Li, Yujin Hu, Xuelin Wang, Ling Ling
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2013)
Article
Mathematics, Applied
Li Li, Yujin Hu, Xuelin Wang
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2013)
Article
Audiology & Speech-Language Pathology
Xuelin Wang, Yujin Hu, Zhenlong Wang, Hong Shi
Article
Automation & Control Systems
Weijun Huang, Yujin Hu, Ligang Cai
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2012)
Article
Thermodynamics
Fangjuan Zhou, Xuelin Wang, Yujin Hu, Ling Ling
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2013)
Article
Acoustics
Li Li, Yujin Hu, Xuelin Wang
JOURNAL OF SOUND AND VIBRATION
(2013)
Article
Engineering, Manufacturing
Binglin Li, Yujin Hu, Xuelin Wang, Chenggang Li, Xingxing Li
MACHINING SCIENCE AND TECHNOLOGY
(2011)
Article
Engineering, Mechanical
Li Li, Yujin Hu, Xuelin Wang
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2012)
Article
Engineering, Mechanical
Li Li, Yujin Hu, Xuelin Wang
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2013)
Article
Instruments & Instrumentation
Y. J. Hu, J. Yang, S. Kitipornchai
SMART MATERIALS AND STRUCTURES
(2010)