A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models
Due to the manufacturing sector's digitalization and ability to combine quality measurement
and production data, machine learning and deep learning for quality assurance hold …
and production data, machine learning and deep learning for quality assurance hold …
Measuring Surface Characteristics in Sustainable Machining of Titanium Alloys Using Deep Learning-Based Image Processing
A crucial method of maintenance in the manufacturing industry is machine vision-based fault
diagnostics and condition monitoring of machine tools. The friction that occurs between the …
diagnostics and condition monitoring of machine tools. The friction that occurs between the …
Deep multi-layer perceptron based prediction of energy efficiency and surface quality for milling in the era of sustainability and big data
In advanced industries such as aerospace, medical and automotive, high precision
machining is increasingly required for many parts made by difficult-to-cut alloys. Machine …
machining is increasingly required for many parts made by difficult-to-cut alloys. Machine …
Experimental investigation and development of a deep learning framework to predict process-induced surface roughness in additively manufactured aluminum alloys
A deep learning framework is developed to predict the process-induced surface roughness
of AlSi10Mg aluminum alloy fabricated using laser powder bed fusion (LPBF). The …
of AlSi10Mg aluminum alloy fabricated using laser powder bed fusion (LPBF). The …
Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals
B Bhandari, G Park, N Shafiabady - Neural Computing and Applications, 2023 - Springer
Enhanced machining quality, including the appropriate surface roughness of the machined
parts, is the focus of many industries. This paper proposes and implements transformer …
parts, is the focus of many industries. This paper proposes and implements transformer …
Non-contact surface roughness evaluation of milling surface using CNN-deep learning models
B Bhandari, GJ Park - International Journal of Computer Integrated …, 2024 - Taylor & Francis
Machining quality control is a bottleneck operation as human inspectors and expensive
equipment is needed in most operations. Automated quality assurance in the manufacturing …
equipment is needed in most operations. Automated quality assurance in the manufacturing …
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 …
to product integrity within mechanical systems and contribution to its overall performance …
Multiconditional machining process quality prediction using deep transfer learning network
BH Li, LP Zhao, YY Yao - Advances in Manufacturing, 2023 - Springer
The quality prediction of machining processes is essential for maintaining process stability
and improving component quality. The prediction accuracy of conventional methods relies …
and improving component quality. The prediction accuracy of conventional methods relies …
Application of artificial intelligence for surface roughness prediction of additively manufactured components
Additive manufacturing has gained significant popularity from a manufacturing perspective
due to its potential for improving production efficiency. However, ensuring consistent product …
due to its potential for improving production efficiency. However, ensuring consistent product …
Deep learning based multi-source heterogeneous information fusion framework for online monitoring of surface quality in milling process
X Wang, J Yan - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The multi-sensor configuration enables a comprehensive description of the machining
processes and thus improves the capability of quality prediction model. However, the …
processes and thus improves the capability of quality prediction model. However, the …