Architecture For Collaborative Design Research Articles

Study on the collaborative design architecture of tractor performance prototype

The tractor performance prototype characterizes the multidisciplinary performance properties of tractor and plays an important role in the iterative upgrade process of new product performance. In order to meet the needs of collaborative development for tractor new products, the functions of distributed design and remote interconnection, and the performance verification of product system-level design, this paper analyzes the tractor collaborative development organizations and functions from the tractor performance prototype collaborative design theory. The performance prototype collaborative design process model is established with UML, and the design supporting environment characteristics are extracted. On this basis, a collaborative design architecture is constructed, and the key technologies which include the collaborative modeling and simulation, tool integration, data management and resource platform construction are proposed and analyzed. Through the preliminary study on the collaborative design architecture of tractor performance prototype, this paper aims to provide the theory and technical mode for developing the tractor digital, networked and intelligent design system.

Statement of Retraction

This article refers to:Development for a web-based EDM laboratory in manufacturing engineeringA web-based collaborative design architecture for developing immersive VR driving platformAn ontology-based method for the development of a troubleshooting configuration system

Application Research on Collaborative Design of Engineering Machinery Design

This paper elaborates the main contents of collaborative design supported by computer and discusses cores of collaborative design architecture of engineering machinery and real-time collaboration under the CAD environment. Under the collaborative characteristics of simulation technology, it expounds the notion of collaborative simulation and operational environment. Finally it points out that cooperative work supported by computer has a broad applied prospect in the manufacturing industry of engineering machinery.

A web-based collaborative design architecture for developing immersive VR driving platform

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Reference Architecture for Collaborative Design

Issues and themes of Collaborative Design (CD) addressed by research done so far are so extensive that when running a project of collaborative design, people may lack directions or guidelines to support the whole picture. Hence, developing reference architecture for CD is important and necessary in the academic and the empirical fields. Reference architecture provides the systematic, elementary skeleton and can be extended and adapted to diverse, changing environments. It also provides a comprehensive framework and enables practices implemented more thoroughly and easily. The reference architecture developed in this re-search is formed along three dimensions: decision aspect, design stage, and collaboration scope. There are five elements in the dimension of decision aspect: (1) participant, (2) product, (3) process, (4) organization, and (5) information. The dimension of design stage includes three stages: (1) planning and concepting, (2) system-level design and detail design, and (3) testing and prototyping. The dimension of collaboration scope includes three types of collaboration: (1) cross-functional, (2) cross-company, and (3) cross-industry. Because of the three reference dimensions, a cubic architecture is developed. The cubic reference architecture helps decision-makers in dealing with implementing a CD project or activity. It also serves as a guideline for CD system developers or people involved in the design collaboration to figure out their own responsibility functions and their relations with other members. Demonstration of how to use the reference architecture in developing design collaboration activities and specifying the details for cross-company CD is also provided in this research.

A Generic and Synchronous Ontology-based Architecture for Collaborative Design

Today’s complex design projects require teams of designers to come together to facilitate the sharing of their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are even more structured to work with virtual distributed teams that collaborate over computer networks to achieve global optima in design. This article presents an architecture where collaborative design is synchronously and generically achieved. That is, where particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the merging process is undertaken at the same time that interaction among designers takes place. As supporting technologies, Web Ontology Language and Web Services are used to implement such an architecture.

An agent- and service-based collaborative design architecture under a dynamic integration environment

The shortening of product realization times and the increase of product complication require multidisciplinary experts to cooperate dynamically and closely in the whole product development lifecycle, behavior that has been previously unfamiliar. To further improve the design cooperation efficiency under this environment, this paper presents a novel cooperative design architecture using revolutionary Internet, agent, and semantic Web technologies. Based on the concept of service provision, intelligent Web-agent groups act as the function backbone to organize the service-based running of the system. Multidisciplinary product development units can be dynamically formed and configured in a knowledge-integration perspective. The layer-based architecture encapsulates distributed knowledge at a higher abstract level and coordinates lifecycle activities from different domains. Semantic-rich service expression and intelligent service accessing through agent mediation make the system more flexible. Within this dynamic cooperative environment, all of the participants involved and their distributed knowledge can be integrated as a whole to achieve more efficient and more intelligent design cooperation.