A Method for Knowledge Reasoning of Mechanical Product Intelligent Design Using Information Entropy

Because of the universality, complexity and uncertainty of mechanical design knowledge, knowledge reasoning and integration of intelligent design system was one of the difficult problems. The valuation of weight by human was used in many methods for knowledge reasoning at present. In order to make the intelligent product design become more scientific and rational, and eliminate the subjective human factors, a method for reasoning using information entropy was proposed. First, by means of the advantage of the relational database include the redundancy, consistency and integrity, the mechanical product design knowledge base was established. Second, based on the information entropy theory, the weight of each attribute was calculated directly through the objective information. Third, based on the objective data in the original sample, the method for calculating the similarity between accurate attributes and uncertainty attributes and design schemes was given. Finally, this method was verified by fruit picking robot intelligent design system, and the result showed that it is objective and effective.

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Mechanical-Design-Oriented Knowledge-Driven Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.1987 ◽

2010 ◽

Vol 44-47 ◽

pp. 1987-1990

Author(s):

De Fang Liu ◽

Bin Wang ◽

Hong Pan Wu

Keyword(s):

Product Design ◽

Design Process ◽

Collaborative Design ◽

Explicit Knowledge ◽

Mechanical Design ◽

System Structure ◽

Design System ◽

Normal Product ◽

Knowledge Reasoning ◽

Product Design Process

According to the characters of mechanical product design, product design knowledge is classified into explicit knowledge and indefinite knowledge. A knowledge-driven product design system model was proposed based on the knowledge management. To meet the normal product design process, the design system structure was built on four layers. A mixed knowledge reasoning strategy was proposed, which is combined by design cases, models, and rules. The system provides a public integration interface, so different design tools such as UG NX, Catia and Pro-E can be applied. To resolve the design conflict in product design process, a collaborative design technique was put forward that the CAD, CAPP, CAM engineers worked togeth

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A Cooperative-Collaborative Design System for Multi-Disciplinary Mechanical Design

Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2005-85005 ◽

2005 ◽

Author(s):

Zhiqiang Chen ◽

Zahed Siddique

Keyword(s):

Product Design ◽

Design Process ◽

Collaborative Design ◽

Process Model ◽

Mechanical Design ◽

System Level ◽

Design System ◽

Design Collaboration ◽

Design Activities ◽

Design Process Model

The emergence of computer and network technology has provided opportunities for researchers to construct and build systems to support dynamic, real-time, and collaborative engineering design in a concurrent manner. This paper provides an understanding of the product design in a distributed environment where designers are in different geographic locations and are required to be involved in the design process to ensure successful product design. A design process model that captures the major interactions among stakeholders is presented, based on the observation of cooperation and collaboration. The stakeholders’ interactions are divided into activity and system level to distinguish the interactions in group design activities and design perspective evolution. An initial computer implementation of the design model is presented. The design system consists of a set of tools associated with design and a management system to facilitate distributed designers to support various design activities, especially conceptual design. Our research emphasis of design collaboration in this paper is: (i) Model a Cooperative-collaborative design process; (ii) Support synchronized design activities; and (iii) Structure the complex relations of various design perspectives from engineering disciplines.

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DEVELOPMENT OF AN INTELLIGENT PRODUCT DESIGN SYSTEM: INTEGRATION STRATEGIES

Applied Artificial Intelligence ◽

10.1080/08839519508945489 ◽

1995 ◽

Vol 9 (6) ◽

pp. 563-585 ◽

Cited By ~ 6

Author(s):

UTPAL ROY ◽

BALAJI BHARADWAJ ◽

SRIPRAKASH SARATHY ◽

PATRICK GRAHAM

Keyword(s):

Product Design ◽

System Integration ◽

Design System ◽

Intelligent Product ◽

Integration Strategies

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Research and Development of Intelligent Design System for Machine Tool Fixture Based on KBE

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.228-229.17 ◽

2011 ◽

Vol 228-229 ◽

pp. 17-22

Author(s):

De Fang Liu ◽

Hong Pan Wu ◽

Li Ying Li

Keyword(s):

Knowledge Representation ◽

Machine Tool ◽

Intelligent Design ◽

Design Flow ◽

Secondary Development ◽

Design System ◽

Development Environment ◽

Knowledge Reasoning ◽

Hybrid Knowledge ◽

Hybrid Reasoning

In this paper, KBE and some key technologies, such as knowledge representation, knowledge reasoning and knowledge base design, are studied for solving the exiting design problems of modular machine tool fixtures. The methods of hybrid knowledge representation based on ontology and rule-based and case-based hybrid reasoning are introduced to intelligent design of modular machine tool fixtures. By researching the design flow of modular machine tool fixtures, a modular machine tool fixtures intelligent design system (MMTFIDS) is developed based on secondary development technology of UG/NX in the VS.NET integrated development environment. The system realizes the reuse of design knowledge and rapid design for modular machine tool fixture.

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Research on Innovative Product Design System Based on QFD and TRIZ

Materials Science Forum ◽

10.4028/www.scientific.net/msf.532-533.1144 ◽

2006 ◽

Vol 532-533 ◽

pp. 1144-1147 ◽

Cited By ~ 1

Author(s):

Cong Da Lu ◽

Zhi Ping Liao ◽

Shao Fei Jiang ◽

Gao Jin Liu

Keyword(s):

Product Design ◽

Mechanical Design ◽

Design System ◽

Innovative Product ◽

House Of Quality ◽

Technical Measure ◽

Innovative Design ◽

Quality Function ◽

Two Measures ◽

Quality Function Development

This paper presents an innovative product design system based on Quality Function Development (QFD) and Theory of Inventive Problem Solving (TRIZ in Russian abbreviation). House of Quality (HOQ) is the core of QFD. To make QFD more practical and operable for small and medium-sized companies, a simplified model of HOQ is proposed. A set of reasoning scheme for inferring requirements relationships is adopted to facilitate constructing the HOQ. The contradiction in the process of mechanical design is defined by TRIZ as physical contradiction and technical contradiction. These two contradictions are solved through contradiction matrix and inventive principles of TRIZ. The innovative design system mainly uses the tool of contradiction matrix to solve the bottle techniques attained from QFD. By taking the HOQ as its interface the integration between QFD and TRIZ is realized. After conducting quality function development, two outputs can be obtained. They are the technical measure needing improvement and the technical measure that is getting worse while improving the former one. These two measures are taken as inputs of TRIZ module to analyze and solve the problem of product design.

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A Model for Acquisition of Implicit Design Knowledge Based on KDD

Materials Science Forum ◽

10.4028/www.scientific.net/msf.505-507.505 ◽

2006 ◽

Vol 505-507 ◽

pp. 505-510

Author(s):

Jing Min Li ◽

Jin Yao ◽

Yong Mou Liu

Keyword(s):

Knowledge Acquisition ◽

Knowledge Discovery ◽

Product Design ◽

Domain Knowledge ◽

Design System ◽

Design Knowledge ◽

Knowledge Based ◽

Knowledge Discovery In Database ◽

Knowledge Intensive ◽

Set Up

Knowledge discovery in database (KDD) represents a new direction of data processing and knowledge innovation. Design is a knowledge-intensive process driven by various design objectives. Implicit knowledge acquisition is key and difficult for the intelligent design system applied to mechanical product design. In this study, the characteristic of implicit design knowledge and KDD are analyzed, a model for product design knowledge acquisition is set up, and the key techniques including the expression and application of domain knowledge and the methods of knowledge discovery are discussed. It is illustrated by an example that the method proposed can be used to obtain the engineering knowledge in design case effectively, and can promote the quality and intelligent standard of product design.

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Ontology Enabling Information and Knowledge Modeling for Product Design

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.446 ◽

2014 ◽

Vol 945-949 ◽

pp. 446-449

Author(s):

Ai Min Li ◽

Fa Rong Kou ◽

Qin Yu Niu ◽

Hai Bo Tian

Keyword(s):

Product Design ◽

Intelligent System ◽

Design System ◽

Design Knowledge ◽

Knowledge Modeling ◽

Knowledge Repositories ◽

Traditional Design ◽

Product Function ◽

Knowledge Intensive ◽

Framework System

Product design and development becomes increasingly knowledge-intensive and collaborative. It is very difficult to meet currently imperious needs for the traditional design mode, knowledge managing methods and the geometry-centric application tool. Designers require more generic knowledge of design and design process and more intelligent system. It establishes the FBPSS framework system supporting modeling of product function, behavior, principle, state and structure. Based on this FBPSS framework system, ontology-based product design system is developed through design knowledge repositories.

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Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions

Sensors ◽

10.3390/s21124239 ◽

2021 ◽

Vol 21 (12) ◽

pp. 4239

Author(s):

Shukla Sharma ◽

Ludovic Koehl ◽

Pascal Bruniaux ◽

Xianyi Zeng ◽

Zhujun Wang

Keyword(s):

Knowledge Base ◽

Product Design ◽

Computer Aided Design ◽

Data Driven ◽

Design Solution ◽

Design Parameters ◽

Design System ◽

Design Knowledge ◽

Garment Design ◽

Design Recommendation

In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital solutions rarely deal with key elements used in the fashion industry, including professional knowledge, as well as fashion and functional requirements of the customer and their relations with product technical parameters. Especially, product design plays an essential role in the whole fashion supply chain and should be paid more attention to in the process of digitalization and intelligentization of fashion companies. In this context, we originally developed an interactive fashion and garment design system by systematically integrating a number of data-driven services of garment design recommendation, 3D virtual garment fitting visualization, design knowledge base, and design parameters adjustment. This system enables close interactions between the designer, consumer, and manufacturer around the virtual product corresponding to each design solution. In this way, the complexity of the product design process can drastically be reduced by directly integrating the consumer’s perception and professional designer’s knowledge into the garment computer-aided design (CAD) environment. Furthermore, for a specific consumer profile, the related computations (design solution recommendation and design parameters adjustment) are performed by using a number of intelligent algorithms (BIRCH, adaptive Random Forest algorithms, and association mining) and matching with a formalized design knowledge base. The proposed interactive design system has been implemented and then exposed through the REST API, for designing garments meeting the consumer’s personalized fashion requirements by repeatedly running the cycle of design recommendation—virtual garment fitting—online evaluation of designer and consumer—design parameters adjustment—design knowledge base creation, and updating. The effectiveness of the proposed system has been validated through a business case of personalized men’s shirt design.

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