Intelligent surface roughness measurement using deep learning and computer vision: a promising approach for manufacturing quality control
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 …
to product integrity within mechanical systems and contribution to its overall performance …
In-process monitoring of the ultraprecision machining process with convolution neural networks
In-process monitoring and quality control are the most critical aspects of the manufacturing
industry, especially in ultra-precision machining (UPM) at an industrial scale. However, in …
industry, especially in ultra-precision machining (UPM) at an industrial scale. However, in …
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 …
accurately portray the fatigue strength, wear resistance, surface hardness, and other …
A physics-informed machine learning model for surface roughness prediction in milling operations
P Wu, H Dai, Y Li, Y He, R Zhong, J He - The International Journal of …, 2022 - Springer
Surface roughness has played a crucial role in determining the quality and performance in
service of the machined workpiece. To enhance the performance of the final product, it is …
service of the machined workpiece. To enhance the performance of the final product, it is …
Milling surface roughness prediction based on physics-informed machine learning
S Zeng, D Pi - Sensors, 2023 - mdpi.com
Surface roughness is a key indicator of the quality of mechanical products, which can
precisely portray the fatigue strength, wear resistance, surface hardness and other …
precisely portray the fatigue strength, wear resistance, surface hardness and other …
Ensemble learning with support vector machines algorithm for surface roughness prediction in longitudinal vibratory ultrasound-assisted grinding
M Zhao, B Xue, B Li, J Zhu, W Song - Precision Engineering, 2024 - Elsevier
It is critical to have an accurate prediction of surface roughness (Sa) in order to improve
grinding productivity, reduce costs, and minimize the period of time required for trials and …
grinding productivity, reduce costs, and minimize the period of time required for trials and …
[HTML][HTML] The Prediction and Evaluation of Surface Quality during the Milling of Blade-Root Grooves Based on a Long Short-Term Memory Network and Signal Fusion
J Ni, K Chen, Z Meng, Z Li, R Li, W Liu - Sensors, 2024 - mdpi.com
The surface quality of milled blade-root grooves in industrial turbine blades significantly
influences their mechanical properties. The surface texture reveals the interaction between …
influences their mechanical properties. The surface texture reveals the interaction between …
Influence of the Relative Displacements and the Minimum Chip Thickness on the Surface Texture in Shoulder Milling
L Nowakowski, S Blasiak, M Skrzyniarz - Materials, 2023 - mdpi.com
The formation of surface texture in milling is a complex process affected by numerous
factors. This paper focuses on the surface roughness of X37CrMoV51 steel machined by …
factors. This paper focuses on the surface roughness of X37CrMoV51 steel machined by …
Surface roughness prediction in boring of TC4-DT with multi-sensor data and machining parameters
L Zhang, X Liu, Z Zhou, Z Wang, F Hua… - … on Prognostics and …, 2024 - ieeexplore.ieee.org
Surface roughness in boring process is a critical indicator of product quality. With the aim of
maximizing quality, there has been a widespread adoption of computer-controlled machine …
maximizing quality, there has been a widespread adoption of computer-controlled machine …
Milling Surface Roughness Monitoring Based on the Neural Network Embedded in Physical Model
H Yin, N Wan, Z Zheng, Z Zeng, X Li… - Available at SSRN … - papers.ssrn.com
To solve the problem that the sensors affect the machining process and the data-driven
surface roughness monitoring method has high experimental cost, the surface roughness …
surface roughness monitoring method has high experimental cost, the surface roughness …