[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
Due to its unique benefits over standard conventional “subtractive” manufacturing, additive
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …
[HTML][HTML] Integration of renewable energy and sustainable development with strategic planning in the mining industry
With an increase in the world population, the global demand for minerals is rising,
increasing energy consumption. Due to the distance of mines from urban areas, the energy …
increasing energy consumption. Due to the distance of mines from urban areas, the energy …
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing
K Wang - Journal of Manufacturing Systems, 2023 - Elsevier
Supervised semantic segmentation has been widely utilized for the quality assurance of the
additive manufacturing process. However, abnormal states (those with defects) happen …
additive manufacturing process. However, abnormal states (those with defects) happen …
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency
A novel deep network termed 3DPECP-Net is proposed to address an important, interesting,
yet challenging problem in intelligent manufacturing: Accurately predicting energy …
yet challenging problem in intelligent manufacturing: Accurately predicting energy …
Towards low-budget energy efficiency design in additive manufacturing based on variational scale-aware transformer
K Wang, J Xu, S Zhang, J Tan, J Qin - Journal of Cleaner Production, 2023 - Elsevier
In opposite to subtractive manufacturing methodologies, additive manufacturing (AM)
embraces plenty of sustainable advantages to decrease energy consumption and material …
embraces plenty of sustainable advantages to decrease energy consumption and material …
Energy efficiency design for eco-friendly additive manufacturing based on multimodal attention fusion
Additive manufacturing (AM) holds an imponderable scope to reduce energy consumption
(EC) and material waste in contrast to subtractive manufacturing methodologies. With the …
(EC) and material waste in contrast to subtractive manufacturing methodologies. With the …
Deep pattern matching for energy consumption prediction of complex structures in ecological additive manufacturing
We propose a novel and effective deep learning method, called deep pattern matching, for
predicting the energy consumption of complex structures, which helps designers to develop …
predicting the energy consumption of complex structures, which helps designers to develop …
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
Facial expression recognition (FER) is advancing human-computer interaction, especially,
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
Economically evaluating energy efficiency performance in fused filament fabrication using a multi-scale hierarchical transformer
K Wang, J Xu, S Zhang, J Tan - The International Journal of Advanced …, 2023 - Springer
In recent years, fused filament fabrication (FFF) has become the most popular additive
manufacturing (AM) process due to its low cost and relative simplicity, which incorporates a …
manufacturing (AM) process due to its low cost and relative simplicity, which incorporates a …