A survey on smart automated computer-aided process planning (ACAPP) techniques

M Al-Wswasi, A Ivanov, H Makatsoris - The International Journal of …, 2018 - Springer
The concept of smart manufacturing has become an important issue in the manufacturing
industry since the start of the twenty-first century in terms of time and production cost. In …

[PDF][PDF] A critical review of feature recognition techniques

Y Shi, Y Zhang, K **a, R Harik - Computer-Aided Design and …, 2020 - researchgate.net
Feature is an essential concept during design and manufacturing. It has universal characters
for specific definitions of interest. Feature Recognition (FR) is a technique to identify and …

[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 …

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 …

A novel learning-based feature recognition method using multiple sectional view representation

P Shi, Q Qi, Y Qin, PJ Scott, X Jiang - Journal of Intelligent Manufacturing, 2020 - Springer
In computer-aided design (CAD) and process planning (CAPP), feature recognition is an
essential task which identifies the feature type of a 3D model for computer-aided …

Graph representation of 3D CAD models for machining feature recognition with deep learning

W Cao, T Robinson, Y Hua… - International …, 2020 - asmedigitalcollection.asme.org
In this paper, the application of deep learning methods to the task of machining feature
recognition in CAD models is studied. Four contributions are made: 1. An automatic method …

Automatic machining feature recognition based on MBD and process semantics

T Xu, J Li, Z Chen - Computers in Industry, 2022 - Elsevier
Automatic feature recognition (AFR) bridges CAD and CAPP systems. Existing AFR methods
mainly consider feature geometries, and the recognized machining features have limited …

Intersecting machining feature localization and recognition via single shot multibox detector

P Shi, Q Qi, Y Qin, PJ Scott… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In Industrie 4.0, machines are expected to become autonomous, self-aware and self-
correcting. One important step in the area of manufacturing is feature recognition that aims to …

[HTML][HTML] Highly interacting machining feature recognition via small sample learning

P Shi, Q Qi, Y Qin, PJ Scott, X Jiang - Robotics and Computer-Integrated …, 2022 - Elsevier
In the area of intelligent manufacturing, recognising the interacting features on a CAD model
is a critical yet challenging task as topology structures of features are damaged due to the …

[HTML][HTML] AI-assisted ultrasonic wave analysis for automated classification of steel corrosion-induced concrete damage

JA Mukhti, N Gucunski, SH Kee - Automation in Construction, 2024 - Elsevier
Early detection of cracks in reinforced concrete caused by chloride intrusion is crucial for
effective maintenance. This paper develops and compares AI-assisted models that use …