A novel method based on deep reinforcement learning for machining process route planning

H Zhang, W Wang, S Zhang, Y Zhang, J Zhou… - Robotics and Computer …, 2024 - Elsevier
Efficient and high-quality machining process route planning is crucial in the realm of
manufacturing. Traditional methods heavily rely on human-computer interaction, which can …

Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction

Z Dong, X Li, F Luan, L Meng, J Ding… - Expert Systems with …, 2024 - Elsevier
As one of the most critical variables in the hot rolling process, the accuracy of rolling force
prediction is directly associated with production stability and product quality. Purely data …

On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework

X Ma, A Karimpour, YJ Wu - arXiv preprint arXiv:2308.03538, 2023 - arxiv.org
To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

Machine learning-supported manufacturing: a review and directions for future research

B Ördek, Y Borgianni, E Coatanea - Production & Manufacturing …, 2024 - Taylor & Francis
The evolution of manufacturing systems toward Industry 4.0 and 5.0 paradigms has pushed
the diffusion of Machine Learning (ML) in this field. As the number of articles using ML to …

Deep learning and sequence mining for manufacturing process and sequence selection

C Zhao, M Dinar, SN Melkote - International Journal of Production …, 2024 - Taylor & Francis
Automatic determination of manufacturing process sequences for the physical production of
given part designs is key to facilitate on-demand cyber manufacturing. In this work, we …

Generative design by embedding topology optimization into conditional generative adversarial network

Z Wang, S Melkote, DW Rosen - Journal of …, 2023 - asmedigitalcollection.asme.org
Generative design (GD) techniques have been proposed to generate numerous designs at
early design stages for ideation and exploration purposes. Previous research on GD using …

Vibration suppression trajectory planning of underwater flexible manipulators based on incremental kriging-assisted optimization algorithm

H Huang, G Tang, H Chen, J Wang, L Han… - Journal of Marine …, 2023 - mdpi.com
It is of great significance to expand the functions of submarines by carrying underwater
manipulators with a large working space. To suppress the flexible vibration of underwater …

Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison

Z Wang, X Yan, J Bjorni, M Dinar, S Melkote… - Journal of Intelligent …, 2024 - Springer
Given a part design, the task of manufacturing process selection chooses an appropriate
manufacturing process to fabricate it. Prior research has traditionally determined …

Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

L Zhang, S He, B Li, X Mao, X Tan - The International Journal of Advanced …, 2024 - Springer
The digital twin (DT) for application development in specific fields or specific factors has
emerged as a foundational framework for intelligent manufacturing. The increasing demand …

Fuzzy quality evaluation and analysis model for improving the quality of unleaded gasoline to reduce air pollution

CM Yang, TH Huang, KS Chen, CH Chen, S Li - Mathematics, 2022 - mdpi.com
It is important to estimate the sample data when inspecting the quality of products. Therefore,
sampling error and uncertainty in the measurement are inevitable, which may lead to …