Prediction of cutting force via machine learning: state of the art, challenges and potentials

M Liu, H Xie, W Pan, S Ding, G Li - Journal of Intelligent Manufacturing, 2023 - Springer
Cutting force is a critical factor that reflects the machining states and affects tool wear, cutting
stability, and the quality of the machined surface. Accurate prediction of cutting force has …

Tool wear state recognition based on feature selection method with whitening variational mode decomposition

X Wei, X Liu, C Yue, L Wang, SY Liang, Y Qin - Robotics and Computer …, 2022 - Elsevier
Tool states affect the surface quality and equipment stop time. It is essential to seek a
method with high accuracy and efficiency to model and predict tool states. Cutting process …

[HTML][HTML] Study of cutting power and power efficiency during straight-tooth cylindrical milling process of particle boards

R Li, Q Yao, W Xu, J Li, X Wang - Materials, 2022 - mdpi.com
The cutting power consumption of milling has direct influence on the economic benefits of
manufacturing particle boards. The influence of the milling parameters on the cutting power …

A digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled parts

C Zhang, G Zhou, Q Xu, Z Wei, C Han… - The International Journal of …, 2023 - Springer
Thin-walled parts are widely used in the aerospace industry, where the milling deformation
of the parts caused by their thin-walled draping and extremely large size ratio characteristics …

[HTML][HTML] Modeling and predicting the machined surface roughness and milling power in Scot's pine helical milling process

R Li, F Yang, X Wang - Machines, 2022 - mdpi.com
Helical milling with the advantages of stable machining process, a well-machined surface
quality, etc., is an interest of researchers and producers. Machined surface roughness …

A multi-criteria decision-making system for selecting cutting parameters in milling process

W Sun, Y Zhang, M Luo, Z Zhang, D Zhang - Journal of Manufacturing …, 2022 - Elsevier
The selection of cutting parameters is of great importance in machining, especially for
machining aviation parts with high performance requirements, since cutting parameters …

[HTML][HTML] Multi-objective optimization of process parameters during micro-milling of nickel-based alloy inconel 718 using taguchi-grey relation integrated approach

M Sheheryar, MA Khan, SHI Jaffery, M Alruqi, R Khan… - Materials, 2022 - mdpi.com
This research investigates the machinability of Inconel 718 under conventional machining
speeds using three different tool coatings in comparison with uncoated tool during milling …

Applying improved fuzzy grey relation analysis algorithm in multi-objective optimization for high-speed milling of 4Cr5MoSiV steel

DH Tien, P Van Bong, LT Hung - Process Integration and Optimization for …, 2022 - Springer
This study presents an approach to optimize machining parameters with multi-response
output using an experimental design in high-speed milling. For the experimental design …

Tool wear state recognition based on WOA-SVM with statistical feature fusion of multi-signal singularity

X Gai, Y Cheng, R Guan, Y Jin, M Lu - The International Journal of …, 2022 - Springer
Tool wear state is the key factor affecting machining quality, machining efficiency, and
cutting stability in the cutting process. Serious wear condition will even lead to machining …

Surface finish comparison of dry and coolant fluid high-speed milling of Jis sdk61 mould steel

TH Le, VB Pham, TD Hoang - Engineering, Technology & Applied …, 2022 - etasr.com
This paper investigates the influence of dry high-speed milling on the surface quality of JIS
SKD61 hard steel, compared to the conventional coolant fluid method. This research was …