Journal ArticleDOI
Enabling cognitive manufacturing through automated on-machine measurement planning and feedback
Yaoyao Fiona Zhao,Xun Xu +1 more
TLDR
A consolidated data model and system structure for an automatic and integrated process planning for machining, inspection, and feedback, based on the newly developed ISO standard STEP/STEP-NC, which provides semantic level information for the manufacturing system is presented.About:
This article is published in Advanced Engineering Informatics.The article was published on 2010-08-01. It has received 42 citations till now. The article focuses on the topics: Computer-integrated manufacturing & Integrated Computer-Aided Manufacturing.read more
Citations
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Journal ArticleDOI
Multi-modal augmented-reality assembly guidance based on bare-hand interface
TL;DR: A novel human Cognition-based interactive Augmented Reality Assembly Guidance System (CARAGS) is proposed to investigate how AR can provide various modalities of guidance to assembly operators for different phases of user cognition process during assembly tasks.
Journal ArticleDOI
Identification and classification of materials using machine vision and machine learning in the context of industry 4.0
TL;DR: A generalized methodology for automated material identification using machine vision and machine learning technologies to contribute to the cognitive abilities of machine tools as wells as material handling devices such as robots deployed in industry 4.0 is presented.
Journal ArticleDOI
A framework for operator – workstation interaction in Industry 4.0
TL;DR: A framework of future operator – workstation interaction in the ‘Industry 4.0’ era is proposed that allows an adaptive, ongoing interaction that aims to improve operator safety, performance, well-being, and satisfaction as well as the factory’s production measures.
Proceedings ArticleDOI
From artificial cognitive systems and open architectures to cognitive manufacturing systems
TL;DR: The architecture for cognitive manufacturing system employing benefits of Industrial Internet and Cognitive Control is proposed, enabling new level of adaptability and re-configurability in the system by self-X capabilities.
Journal ArticleDOI
An integrated feature-based dynamic control system for on-line machining, inspection and monitoring
TL;DR: This project aims to establish a set of integrated information models to address the dynamics of machining conditions based on the Dynamic Feature concept proposed by the authors, which are used as the basis for integrating machining, monitoring, and on-line inspection operations for optimized machining process control of high value complex parts.
References
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Journal ArticleDOI
Making CNC machine tools more open, interoperable and intelligent: a review of the technologies
Xun Xu,Stephen T. Newman +1 more
TL;DR: A futuristic view of STEP-NC is outlined to support distributed interoperable intelligent manufacturing through global networking with autonomous manufacturing workstations with STEP compliant data interpretation, intelligent part program generation, diagnostics and maintenance, monitoring and job production scheduling.
Journal ArticleDOI
STEP-compliant NC research: the search for intelligent CAD/CAPP/CAM/CNC integration
Xun Xu,Hongqiang Wang,Jian Mao,Stephen T. Newman,Thomas R. Kramer,Frederick M. Proctor,John L. Michaloski +6 more
TL;DR: A comprehensive review of STEP-NC developments for a range of CNC processes can be found in this paper, where the authors present a comprehensive review for a wide range of CAM and CNC applications.
Journal ArticleDOI
Genetic algorithms and traveling salesman problems
TL;DR: Schema analysis of the algorithm shows that a sexual reproduction with the generalized mutation operator preserves the global convergence property of a genetic algorithm thus establishing the fundamental theorem of the GA for the algorithm.
Book ChapterDOI
Dimensioning and Tolerancing
TL;DR: Once you know the intended uses of all your dimensions it is much easier to select the proper dimensions.
Least-squares best-fit geometric elements.
TL;DR: In this paper, the authors describe algorithms for computing least-squares best-fit geometric elements to data, including lines, planes, circles, spheres, cylinders, and cones.