A kernel correlation-based approach to adaptively acquire local features for learning 3D point clouds
Abstract 3D models are used in a variety of CAX fields, and their key is 3D data geometry
and semantic perception. However, semantic learning of 3D point clouds is a challenge due …
and semantic perception. However, semantic learning of 3D point clouds is a challenge due …
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 …
aided design (CAD), process planning (CAPP), and manufacturing (CAM) systems. In …
MeshCLIP: Efficient cross-modal information processing for 3D mesh data in zero/few-shot learning
Y Song, N Liang, Q Guo, J Dai, J Bai, F He - Information Processing & …, 2023 - Elsevier
Abstract Text, 2D, and 3D information are crucial information representations in modern
science and management disciplines. However, complex and irregular 3D data produce …
science and management disciplines. However, complex and irregular 3D data produce …
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 …
translating design information into manufacturing information. Traditional rule-based …
Model performance evaluation of build time using geometric shape complexity and process parameters in material extrusion
Additive Manufacturing (AM) is gaining widespread interest and recognition in both
academia and industry due to its numerous advantages over traditional manufacturing …
academia and industry due to its numerous advantages over traditional manufacturing …
Part decomposition and evaluation based on standard design guidelines for additive manufacturability and assemblability
In comparison to traditional manufacturing, Additive Manufacturing (AM) provides unique
capability to create complex part geometries. However, AM often suffers from its own …
capability to create complex part geometries. However, AM often suffers from its own …
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria
This paper explores the concept of hybrid manufacturing (HM), which combines two or more
manufacturing processes to improve efficiency and productivity. HM can be categorized …
manufacturing processes to improve efficiency and productivity. HM can be categorized …
Visualizing standardized model-based design and inspection data in augmented reality
Augmented reality (AR) has already helped manufacturers realize value across a variety of
domains, including assistance in maintenance, process monitoring, and product assembly …
domains, including assistance in maintenance, process monitoring, and product assembly …
Mfpointnet: A point cloud-based neural network using selective downsampling layer for machining feature recognition
R Lei, H Wu, Y Peng - Machines, 2022 - mdpi.com
Machining feature recognition is a research hotspot in recent years. A point cloud is a
geometry data representation format of three-dimensional (3D) models. The use of point …
geometry data representation format of three-dimensional (3D) models. The use of point …
Simplification of 3D CAD Model in Voxel Form for Mechanical Parts Using Generative Adversarial Networks
Abstract Most three-dimensional (3D) computer-aided design (CAD) models of mechanical
parts, created during the design stage, have high shape complexity. The shape complexity …
parts, created during the design stage, have high shape complexity. The shape complexity …