4.5 Article

A feature-based assembly information modeling method for complex products' 3D assembly design

Related references

Note: Only part of the references are listed.
Article Engineering, Industrial

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

Yu Zhang et al.

Summary: This paper presents an intelligent feature recognition method for STEP-NC-compliant manufacturing using artificial bee colony (ABC) algorithm and back propagation (BP) neural network. The method extracts geometric and topological information from STEP AP203 neutral file, constructs the minimum subgraphs of a part based on the concavity and convexity judgement algorithm, and proposes an improved BP neural network combined with ABC algorithm for STEP-NC-compliant manufacturing feature recognition. Case study concludes that the proposed method is effective and feasible.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization

Soyoung Yoo et al.

Summary: Studies have recently focused on deep learning for manufacturing cost prediction, but the lack of explanation due to using models as black boxes remains a challenge. This study proposes a process using explainable artificial intelligence to predict manufacturing costs for 3D CAD models, allowing for visualization of machining features that impact cost. The proposed approach demonstrates high predictability for CNC machined parts and can offer guidance to engineering designers and real-time quotations to online manufacturing platform customers.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Engineering, Manufacturing

Research on the optimal design technology of a digital assembly sequence based on an internet of things data collection framework

Yan Cao et al.

Summary: This paper uses assembly of a machine tool modular fixture as an example to establish an IOMT system based on IOT technology, aimed at optimizing assembly sequence using three heuristic algorithms, with the ant colony algorithm showing the highest computational efficiency and accuracy in complex data environments.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2021)

Article Computer Science, Interdisciplinary Applications

Planning for automatic product assembly using reinforcement learning

Heng Zhang et al.

Summary: This paper proposes a reinforcement learning method for automatic operation of mechanical product assembly, aiming to improve efficiency and accuracy by building machine learning models and developing searching strategies. The method has been applied in the assembly improvement of function modules of an industrial machine.

COMPUTERS IN INDUSTRY (2021)

Article Automation & Control Systems

A heuristic method with a novel stability concept to perform parallel assembly sequence planning by subassembly detection

Anil Kumar Gulivindala et al.

ASSEMBLY AUTOMATION (2020)

Article Engineering, Manufacturing

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

Haichao Wang et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2019)

Article Computer Science, Artificial Intelligence

A rapid virtual assembly approach for 3D models of production line equipment based on the smart recognition of assembly features

Buyun Sheng et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)

Article Engineering, Multidisciplinary

Optimal Assembly Sequence generation through computational approach

M. V. A. Raju Bahubalendruni et al.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES (2019)

Proceedings Paper Automation & Control Systems

Review on Approaches to Generate Assembly Sequences by Extraction of Assembly Features from 3D Models

Alexander Neb

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) (2019)

Article Engineering, Mechanical

An intelligent approach towards optimal assembly sequence generation

M. V. A. Raju Bahubalendruni et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2018)

Article Automation & Control Systems

Identification of key design characteristics for complex product adaptive design

Xin Han et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

Article Engineering, Manufacturing

Assembly sequence optimization for minimizing the riveting path and overall dimensional error

Jun Ni et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2018)

Article Computer Science, Interdisciplinary Applications

Assembly sequences plan generation using features simplification

Riadh Ben Hadj et al.

ADVANCES IN ENGINEERING SOFTWARE (2018)

Article Multidisciplinary Sciences

An Efficient Stable Subassembly Identification Method Towards Assembly Sequence Generation

M. V. A. Raju Bahubalendruni et al.

NATIONAL ACADEMY SCIENCE LETTERS-INDIA (2018)

Article Engineering, Industrial

Decomposition approach to optimal feature-based assembly planning

Csaba Kardos et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2017)

Article Computer Science, Interdisciplinary Applications

A spatiotemporal information management framework for product design and assembly process planning reconciliation

Elise Gruhier et al.

COMPUTERS IN INDUSTRY (2017)

Article Automation & Control Systems

An automatic assembly CAD system of plastic profile calibrating die based on feature recognition

Qiao Guo et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2016)

Article Engineering, Multidisciplinary

Liaison concatenation - A method to obtain feasible assembly sequences from 3D-CAD product

M. V. A. Raju Bahubalendruni et al.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES (2016)

Proceedings Paper Engineering, Industrial

Towards feature-based human-robot assembly process planning

Csaba Kardos et al.

FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT (2016)

Proceedings Paper Engineering, Industrial

An automated assembly process planning system

Charisis Bikas et al.

6TH CIRP CONFERENCE ON ASSEMBLY TECHNOLOGIES AND SYSTEMS (CATS) (2016)

Article Automation & Control Systems

Influence of assembly predicate consideration on optimal assembly sequence generation

M. V. A. Raju Bahubalendruni et al.

ASSEMBLY AUTOMATION (2015)

Article Computer Science, Software Engineering

Relationship matrix based automatic assembly sequence generation from a CAD model

Li-Ming Ou et al.

COMPUTER-AIDED DESIGN (2013)

Proceedings Paper Materials Science, Multidisciplinary

An Analysis of the Assembly Path Planning of Decelerator Based on Virtual Technology

Xiangyang Jin et al.

INTERNATIONAL CONFERENCE ON SOLID STATE DEVICES AND MATERIALS SCIENCE (2012)