[HTML][HTML] Wire and arc additive manufacturing: Opportunities and challenges to control the quality and accuracy of manufactured parts
Wire and arc additive manufacturing (WAAM) has proven that it can produce medium to
large components because of its high-rate deposition and potentially unlimited build size …
large components because of its high-rate deposition and potentially unlimited build size …
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm
L Xu, L Hou, Z Zhu, Y Li, J Liu, T Lei, X Wu - Energy, 2021 - Elsevier
The mid-term electrical energy consumption forecasting for crude oil pipelines is helpful for
making important decisions, such as energy consumption target setting, unit commitment …
making important decisions, such as energy consumption target setting, unit commitment …
Residual stresses in wire-arc additive manufacturing–Hierarchy of influential variables
Residual stresses and distortion are common serious defects in wire-arc additive
manufacturing. Commercial thermomechanical models are often used to understand how …
manufacturing. Commercial thermomechanical models are often used to understand how …
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
Abstract Wireless Sensor Networks (WSNs) is a promising technology with enormous
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …
Comparative evaluation of supervised machine learning algorithms in the prediction of the relative density of 316L stainless steel fabricated by selective laser melting
To find a robust combination of selective laser melting (SLM) process parameters to achieve
the highest relative density of 3D printed parts, predicting the relative density of 316L …
the highest relative density of 3D printed parts, predicting the relative density of 316L …
Prediction of surface residual stress in end milling with Gaussian process regression
M Cheng, L Jiao, P Yan, L Feng, T Qiu, X Wang… - Measurement, 2021 - Elsevier
The residual stress has an important influence on the performance of parts such as fatigue
life, and many researches have been carried out for the quantitative evaluation or prediction …
life, and many researches have been carried out for the quantitative evaluation or prediction …
Management of landslides in a rural–urban transition zone using machine learning algorithms—A case study of a National Highway (NH-44), India, in the Rugged …
Landslides are critical natural disasters characterized by a downward movement of land
masses. As one of the deadliest types of disasters worldwide, they have a high death toll …
masses. As one of the deadliest types of disasters worldwide, they have a high death toll …
A parallel strategy for predicting the quality of welded joints in automotive bodies based on machine learning
G Chen, B Sheng, R Luo, P Jia - Journal of Manufacturing Systems, 2022 - Elsevier
Due to the complexity of the resistance spot welding process, it is still a challenge to
accurately know the operating status of the welding robot under the current parameter …
accurately know the operating status of the welding robot under the current parameter …
Generative modelling of laser beam welded Inconel 718 thin weldments using ANFIS based hybrid algorithm
Abstract Laser Beam Welding (LBW) is one of the sophisticated welding processes that find
applications in multiple technical disciplines such as vehicle manufacturing, aviation, and …
applications in multiple technical disciplines such as vehicle manufacturing, aviation, and …