[HTML][HTML] On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review

YF Zhao, J **e, L Sun - Engineering, 2024 - Elsevier
Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …

Status, issues, and future of computer-aided part orientation for additive manufacturing

Y Qin, Q Qi, P Shi, PJ Scott, X Jiang - The International Journal of …, 2021 - Springer
Part orientation is a critical task in the process of additive manufacturing product realisation.
Recently, various computer-aided methods for this task have been presented in the …

[HTML][HTML] Hierarchical cadnet: Learning from b-reps for machining feature recognition

AR Colligan, TT Robinson, DC Nolan, Y Hua… - Computer-Aided …, 2022 - Elsevier
Deep learning approaches have been shown to be capable of recognizing shape features
(eg machining features) in Computer-Aided Design (CAD) models in certain circumstances …

Machining feature recognition based on a novel multi-task deep learning network

H Zhang, S Zhang, Y Zhang, J Liang, Z Wang - Robotics and Computer …, 2022 - Elsevier
Machining feature recognition is an essential task to realize the integration of computer-
aided design (CAD), process planning (CAPP), and manufacturing (CAM) systems. In …

AAGNet: A graph neural network towards multi-task machining feature recognition

H Wu, R Lei, Y Peng, L Gao - Robotics and Computer-Integrated …, 2024 - Elsevier
Machining feature recognition (MFR) is an essential step in computer-aided process
planning (CAPP) that infers manufacturing semantics from the geometric entities in CAD …

Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems

C Yeo, BC Kim, S Cheon, J Lee, D Mun - Scientific reports, 2021 - nature.com
Recently, studies applying deep learning technology to recognize the machining feature of
three-dimensional (3D) computer-aided design (CAD) models are increasing. Since the …

3D convolutional neural network for machining feature recognition with gradient-based visual explanations from 3D CAD models

J Lee, H Lee, D Mun - Scientific Reports, 2022 - nature.com
In the manufacturing industry, all things related to a product manufactured are generated
and managed with a three-dimensional (3D) computer-aided design (CAD) system. CAD …

Dataset and method for deep learning-based reconstruction of 3D CAD models containing machining features for mechanical parts

H Lee, J Lee, H Kim, D Mun - Journal of Computational Design …, 2022 - academic.oup.com
ABSTRACT Three-dimensional (3D) computer-aided design (CAD) model reconstruction
techniques are used for numerous purposes across various industries, including free …

Point cloud self-supervised learning for machining feature recognition

H Zhang, W Wang, S Zhang, Z Wang, Y Zhang… - Journal of Manufacturing …, 2024 - Elsevier
Machining feature recognition serves as a foundational step in process planning, crucial for
translating design information into manufacturing information. Traditional rule-based …

Process planning in Industry 4.0—Current state, potential and management of transformation

M Trstenjak, T Opetuk, H Cajner, N Tosanovic - Sustainability, 2020 - mdpi.com
The implementation of the Industry 4.0 concept enables the flexibility, modularity and self-
optimization of the manufacturing process. Process planning, placed in the value chain …