A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades

B Zhang, S Wu, D Wang, S Yang, F Jiang, C Li - Measurement, 2023 - Elsevier
Higher requirements are being imposed on blade surface quality due to the continuous
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …

[HTML][HTML] High-speed machining of Ti–6Al–4V: RSM-GA based optimization of surface roughness and MRR

ST Alam, ANMA Tomal, MK Nayeem - Results in Engineering, 2023 - Elsevier
This article offers experimental research into getting the lowest possible roughness on the
surface profile of Ti–6Al–4V produced by High-Speed Machining (HSM) in conjunction with …

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 …

Knowledge-based neural network for surface roughness prediction of ball-end milling

J Wang, T Chen, D Kong - Mechanical Systems and Signal Processing, 2023 - Elsevier
Theoretical modeling for surface roughness of ball-end milling generally results in low
prediction accuracy due to the lack of machining information, excessive computational costs …

Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts

J Singh, KK Goyal, R Kumar, V Gupta - Polymer Composites, 2022 - Wiley Online Library
Fused deposition modeling (FDM) is one of the most economical and popular technology
amongst numerous additive manufacturing techniques. The quality of FDM fabricated parts …

Intelligent surface roughness measurement using deep learning and computer vision: a promising approach for manufacturing quality control

M EL Ghadoui, A Mouchtachi, R Majdoul - The International Journal of …, 2023 - Springer
In modern manufacturing, accurate and efficient assessment of surface finish quality is vital
to product integrity within mechanical systems and contribution to its overall performance …

Prediction of surface roughness based on fused features and ISSA-DBN in milling of die steel P20

M Guo, J Zhou, X Li, Z Lin, W Guo - Scientific Reports, 2023 - nature.com
The roughness of the part surface is one of the most crucial standards for evaluating
machining quality due to its relationship with service performance. For a preferable …

AMS-Net: Attention mechanism based multi-size dual light source network for surface roughness prediction

T Zhang, X Guo, S Fan, Q Li, S Chen, X Guo - Journal of Manufacturing …, 2022 - Elsevier
Real-time and efficient surface roughness measurement is very essential for machining.
Previously proposed non-contact roughness prediction methods usually use surface …

Laser transmission welding of polycarbonate sheets using electrolytic iron powder absorber

DK Goyal, R Yadav, R Kant - Optics & Laser Technology, 2023 - Elsevier
Abstract This paper presents Laser Transmission Welding (LTW) of polycarbonate sheets
using electrolytic iron powder as an absorber to obtain a clean and high-strength joint …

Milling surface roughness prediction method based on spatiotemporal ensemble learning

S Zeng, D Pi, T Xu - The International Journal of Advanced Manufacturing …, 2023 - Springer
Surface roughness is widely used for product quality assessment due to its ability to
accurately portray the fatigue strength, wear resistance, surface hardness, and other …