State of the art-intense review on artificial intelligence systems application in process planning and manufacturing

SPL Kumar - Engineering Applications of Artificial Intelligence, 2017 - Elsevier
Artificial Intelligence (AI) systems applications are widespread due to its domain
independent characteristics. In this work, an attempt has been made for review on AI …

A review of automated feature recognition with rule-based pattern recognition

B Babic, N Nesic, Z Miljkovic - Computers in industry, 2008 - Elsevier
Automated feature recognition (AFR) has provided the greatest contribution to fully
automated CAPP system development. The objective of this paper is to review various …

Featurenet: Machining feature recognition based on 3d convolution neural network

Z Zhang, P Jaiswal, R Rai - Computer-Aided Design, 2018 - Elsevier
Automated machining feature recognition, a sub-discipline of solid modeling, has been an
active research area for last three decades and is a critical component in digital …

Manufacturing feature recognition from solid models: a status report

JH Han, M Pratt, WC Regli - IEEE transactions on robotics and …, 2000 - ieeexplore.ieee.org
The field of solid modeling has developed a variety of techniques for unambiguous
representations of three-dimensional objects. Feature recognition is a sub-discipline of solid …

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 …

[HTML][HTML] 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 …

A discourse on geometric feature recognition from CAD models

JJ Shah, D Anderson, YS Kim… - J. Comput. Inf. Sci …, 2001 - asmedigitalcollection.asme.org
This paper discusses the past 25 years of research in feature recognition. Although a great
variety of feature recognition techniques have been developed, the discussion here focuses …

From concept to manufacturing: Evaluating vision-language models for engineering design

C Picard, KM Edwards, AC Doris, B Man… - arXiv preprint arXiv …, 2023 - arxiv.org
Engineering Design is undergoing a transformative shift with the advent of AI, marking a new
era in how we approach product, system, and service planning. Large language models …

Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network

Y Zhang, Y Zhang, K He, D Li, X Xu, Y Gong - Journal of Manufacturing …, 2022 - Elsevier
This paper presents an intelligent feature recognition method for STEP-NC-compliant
manufacturing based on artificial bee colony (ABC) algorithm and back propagation (BP) …

[HTML][HTML] Machine learning for object recognition in manufacturing applications

H Yun, E Kim, DM Kim, HW Park, MBG Jun - International Journal of …, 2023 - Springer
Feature recognition and manufacturability analysis from computer-aided design (CAD)
models are indispensable technologies for better decision making in manufacturing …