Fine Grain Feature Associations in Collaborative Design and Manufacturing – A Unified Approach

2009 ◽  
pp. 71-97 ◽  
Author(s):  
Y.-S. Ma ◽  
G. Chen ◽  
G. Thimm
Keyword(s):  
Collaborative Design ◽  
Unified Approach ◽  
Fine Grain ◽  
Design And Manufacturing

Research on Collaborative Design and Manufacturing for Civil Aircraft

2012 ◽  
Vol 522 ◽  
pp. 319-322
Author(s):  
Chen Wang ◽  
Hong Xia Cai ◽  
Kang Ding ◽  
Tao Yu
Keyword(s):  
Concurrent Engineering ◽  
Manufacturing Process ◽  
Collaborative Design ◽  
Manufacturing System ◽  
Aircraft Industry ◽  
Structural Framework ◽  
Research Cycle ◽  
Design And Manufacturing ◽  
Civil Aircraft ◽  
Manufacturing Mode

The collaborative design and manufacturing is applied in the aircraft industry. This paper introduces the collaborative design and manufacturing mode in aircraft industry and presents its structural framework. The data is managed in the structure of BOM and there are two ways to share the data between the suppliers. The collaborative design and manufacturing process reflects the concept of concurrent engineering. The collaborative design and manufacturing system has been applied in the project of C919 which could sharply shorten the research cycle and reduce the product cost.

Collaborative Design and Manufacturing of a Customizable Voice Prosthesis

2002 ◽  
pp. 695-703
Author(s):  
G. Concheri ◽  
S. Filippi ◽  
R. Meneghello ◽  
C. Miani ◽  
D. Comelli
Keyword(s):  
Collaborative Design ◽  
Voice Prosthesis ◽  
Design And Manufacturing

scholarly journals A design for manufacturing methodology using defects knowledge for aerospace product manufacturing

2021 ◽  
pp. 095440542110076
Author(s):  
Mohammed Elsouri ◽  
James Gao ◽  
Clive Simmonds ◽  
Nick Martin
Keyword(s):  
Collaborative Design ◽  
Knowledge Bases ◽  
Design For Manufacturing ◽  
Safety Critical ◽  
Novel Approach ◽  
Aerospace Companies ◽  
Design And Manufacturing ◽  
Product Manufacturing ◽  
The Uk ◽  
Associated Knowledge

Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.

Finite scheduling of collaborative design and manufacturing activity: a Petri net approach

2008 ◽  
Vol 19 (2) ◽  
pp. 274-288 ◽  
Author(s):  
Salleh Ahmad Bareduan ◽  
Sulaiman Hj. Hasan ◽  
Saparudin Ariffin
Keyword(s):  
Petri Net ◽  
Collaborative Design ◽  
Design And Manufacturing ◽  
Manufacturing Activity

Collaborative Design and Manufacturing in Research Flowchart for Large Aircraft

2011 ◽  
Vol 88-89 ◽  
pp. 576-582
Author(s):  
Shao Chao Liu ◽  
Guang Rong Yan
Keyword(s):  
Collaborative Design ◽  
Main Task ◽  
Design And Manufacturing ◽  
Large Aircraft

This paper introduces the division methods of aircraft research phases in foreign aviation enterprises, gives a general division method of aircraft research phases in our country and introduces the main task of each phase. Besides，it introduces the general content of collaborative design and manufacturing in research flowchart for large aircraft.

scholarly journals Unified Approach in Design and Manufacturing Optimization of Hybrid Metal-composites Parts

Procedia CIRP ◽  
2016 ◽  
Vol 55 ◽  
pp. 59-64 ◽  
Author(s):  
Panagis Foteinopoulos ◽  
Panagiotis Stavropoulos ◽  
Alexios Papacharalampopoulos ◽  
George Chryssolouris
Keyword(s):  
Unified Approach ◽  
Metal Composites ◽  
Manufacturing Optimization ◽  
Design And Manufacturing

Special Issue on collaborative design and manufacturing

2008 ◽  
Vol 22 (3) ◽  
pp. 281 ◽  
Author(s):  
Weiming Shen ◽  
Jean-Paul A. Barthès
Keyword(s):  
Collaborative Design ◽  
Special Issue ◽  
Design And Manufacturing

scholarly journals Key Technologies of Collaborative Design and Manufacturing of Mechanical and Electrical Products Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Kun Shang
Keyword(s):  
Neural Network ◽  
Internet Of Things ◽  
Collaborative Design ◽  
Rbf Neural Network ◽  
Electromechanical System ◽  
The Internet ◽  
Neural Network Controller ◽  
Network Controller ◽  
Design And Manufacturing ◽  
The Internet Of Things

An electric motor driven by the electromechanical system of the Internet of Things is attractive because of its long life capability of the propulsion system. In this paper, the application of collaborative design and manufacturing in the design automation of IOT electromechanical system is reviewed, and the application of collaborative design and manufacturing in robots, a typical IOT electromechanical system, is described in detail. In this paper, we explain five aspects including the construction of a multiangle unified modeling method for the electromechanical system of the Internet of Things; the constraint processing mechanism for the optimization problem of the electromechanical system of the Internet of Things; the constraint multiobjective optimization methods; design methods that integrate constraint multipurpose evolutionary algorithms and knowledge extraction; and design automation of visual perception systems for electromechanical systems based on the Internet of Things and deep neural networks. The research shows that under the control of a conventional radial basis function neural network controller and the control of a radial basis function neural network controller based on the electromechanical system of the Internet of Things, the system will be affected to a certain extent when there is interference. Under the control of a traditional RBF neural network controller, the system requires 0.18 seconds to restore stability. When using the RBF neural network controller based on the electromechanical system of the Internet of Things, the system returns to a stable state after 0.09 s, and the peak time is reduced by 59% compared with the conventional RBF neural network controller.

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