State of the art in finite element approaches for milling process: a review

S Chauhan, R Trehan, RP Singh - Advances in Manufacturing, 2023 - Springer
Over a century, metal cutting has been observed as a vital process in the domain of
manufacturing. Among the numerous available metal-cutting processes, milling has been …

Analysis and prediction of the impact of technological parameters on cutting force components in rough milling of AZ31 magnesium alloy

M Kulisz, I Zagórski, A Weremczuk, R Rusinek… - Archives of Civil and …, 2021 - Springer
This paper presents the results of experimental study of the AZ31 magnesium alloy milling
process. Dry milling was carried out under high-speed machining conditions. First, a stability …

Parameter identification of Johnson–Cook constitutive model based on genetic algorithm and simulation analysis for 304 stainless steel

X Jiang, J Ding, C Wang, E Shiju, L Hong, W Yao… - Scientific Reports, 2024 - nature.com
Addressing the significant discrepancy between actual experimental cutting force and its
predicted values derived from traditional constitutive model parameter identification …

Trochoidal milling and neural networks simulation of magnesium alloys

I Zagórski, M Kulisz, M Kłonica, J Matuszak - Materials, 2019 - mdpi.com
This paper set out to investigate the effect of cutting speed vc and trochoidal step str
modification on selected machinability parameters (the cutting force components and …

Analysis of unified error model and simulated parameters calibration for robotic machining based on Lie theory

Z Fu, JS Dai, K Yang, X Chen… - Robotics and Computer …, 2020 - Elsevier
In robotic machining process, the kinematic errors of serial structure and compliance errors
caused by external cutter-workpiece interactions can result in considerable deviation of the …

A material constitutive model-based prediction method for flank milling force considering the deformation of workpiece

J Mao, M Zhao, X Wei, L Zhang - Journal of Manufacturing Processes, 2022 - Elsevier
Milling force is an important factor that affects the machining deformation of thin-walled parts.
In order to improve the predictive accuracy of milling forces by considering the time-varying …

A prediction model for the milling of thin-wall parts considering thermal-mechanical coupling and tool wear

G Wu, G Li, W Pan, X Wang, S Ding - The International Journal of …, 2020 - Springer
In thin-wall milling processes, the interactions between cutting loads and the displacement
of the thin-wall part lead to varying tool-workpiece engagement boundaries and undesired …

Dynamic modeling and analysis on lateral vibration of ball screw feed system

X Gao, X Zhang, J Yang, Z Fu, M Wang… - The International Journal of …, 2023 - Springer
Ball screw feed systems serve as the feed components of machine tools, and its dynamic
characteristics directly affect the machining quality of workpieces and reliability of ball …

An analytical force mode applied to three-dimensional turning based on a predictive machining theory

Z Fu, X Chen, J Mao, T **ong - International Journal of Mechanical …, 2018 - Elsevier
Cutting forces play an important role in the three-dimensional turning processes and are
commonly calculated by the mechanistic or empirical models which are considered time …

An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout

Z Fu, W Yang, X Wang, J Leopold - The International Journal of Advanced …, 2016 - Springer
The work is motivated by the fact that cutting forces are commonly calculated by the
mechanistic or numerical models which are considered time-consuming and impractical for …