Computational Conceptual Design Using Space Matrix

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Bin He ◽  
Wei Song ◽  
Yangang Wang
Keyword(s):  
Physical Parameter ◽  
Conceptual Design ◽  
Design Process ◽  
Product Innovation ◽  
Functional Model ◽  
Structure Design ◽  
Functional Structure ◽  
Design Synthesis ◽  
Space Matrix ◽  
Functional Structure Design

Conceptual design is an early stage in the product design process, which has an essential effect on product innovation. This paper is devoted to computational conceptual design utilizing design synthesis. After the functional model was proposed, the physical parameter model was put forward. The integrated model of function repository and solution repository based on space matrix was built up. The computational conceptual design process based on space matrix was then proposed, including design synthesis algorithm based on space matrix, feature matching based on physical parameter, solutions constraints matching based on design catalog, functional structure design based on functional structure evolutionary model, and evaluation and selection approach based on design catalog. The conceptual design of new devices for decreasing resistance of amphibious vehicles is given as an example, which demonstrates that the methodology is helpful to produce valuable solutions for product innovation.

Functional Structure Design of English Learning Machine Based on Innovative Cognition

2012 ◽  
Vol 538-541 ◽  
pp. 2967-2971
Author(s):  
Ke Chen
Keyword(s):  
Learning Strategies ◽  
Cognitive Linguistics ◽  
Structure Design ◽  
Functional Structure ◽  
Base Layer ◽  
English Learning ◽  
Core Function ◽  
Interaction Interface ◽  
Learning Machine ◽  
Functional Structure Design

In terms of cognitive psychology and innovative psychology, this paper establishes the innovative cognitive process of English learning from input of information to output of language acquisition result. Then combined with the theory of cognitive linguistics, the paper analyzes the main impact that innovative cognition produced on English learning process, and proposes the related English learning strategies. Based on the above theory, functional structure of English learning machine, which is made up of the man-machine interaction interface, the core function layer and the hardware base layer, is presented. The method proposed here should be helpful for further research on the model of English learning machine.

Independence Measure (IM) Using Independence Priority Number (IPN) in Axiomatic Design Framework

2015 ◽  
Author(s):  
Sung-Hee Do
Keyword(s):  
System Design ◽  
Conceptual Design ◽  
Design Process ◽  
Axiomatic Design ◽  
Functional Independence ◽  
Functional Coupling ◽  
Independence Axiom ◽  
Design Synthesis ◽  
Additional Information ◽  
Alternative Solutions

Axiomatic Design is becoming a preferred system design process tool for insuring the quality and efficiency of design processes for products and services. One aspect of Axiomatic Design is modeling and analyzing the functional independence of proposed solutions. Axiomatic Design provides for comparing and ranking solutions by three categories of functional coupling: Uncoupled, Decoupled and Coupled (1). However, given two potential solutions within the same functional coupling category, Axiomatic Design technology cannot further rank these solutions without additional information. This paper proposes that the degree of functional coupling can be assessed to provide further discrimination between solutions within the same coupling category. Using complexity concepts, this paper proposes two additional metrics, the Independence Priority Number (IPN) and the Independence Measure (IM) to further rank the potential robustness of alternative solutions using the Independence Axiom of the Axiomatic Design process. With IPN and IM metrics, design professionals can better assess the functional robustness of their proposal at the earliest phase of design, conceptual design synthesis.

Adaptive Synthesis of Hydraulic Circuits From Design Cases Based on Functional Structure

1995 ◽  
Author(s):  
Kikuo Fujita ◽  
Shinsuke Akagi ◽  
Makoto Sasaki
Keyword(s):  
Design Method ◽  
Synthesis Method ◽  
Simulation Method ◽  
Structure Design ◽  
Functional Structure ◽  
Case Based Reasoning ◽  
Symbol Manipulation ◽  
Case Base ◽  
Functional Structure Design ◽  
Hydraulic Circuits

Abstract An adaptive synthesis method for hydraulic circuits is proposed by using case-based reasoning technique based on their functional structure. Since synthesis of hydraulic circuits is a typical problem of conceptual design and its property is expertise-oriented and combinatorial, it is difficult to declaratively represent useful design knowledge. In our design method, past design cases are afore-stored in the case base, and then a circuit is generated by arranging suitable past cases which are retrieved from the case base in accordance with the difference related to functional structure. In order to measure such functional structure, design specifications are represented with labels. Design cases are adaptively manipulated into a target design with three synthesis strategies, decomposition, series combination and parallel combination, based on surplus or deficit of labels. Moreover, arranged circuits are verified with a logical simulation method based on symbol manipulation. These synthesis and simulation methods are applied to some design problems in order to show their effectiveness and validity.

Product Pedigree Based Conceptual Structure Evolutionary Design

2012 ◽  
Vol 215-216 ◽  
pp. 612-615
Author(s):  
Xing Zu Wang ◽  
Bo Yang ◽  
Kong Yao ◽  
Chang Qing Gao
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Design Method ◽  
Conceptual Structure ◽  
Structure Design ◽  
Classification Model ◽  
Evolutionary Design ◽  
Variant Design ◽  
Interaction Field ◽  
The Relationship

By applying biological pedigree concept into product conceptual structure design, an conceptual structural design approach is set forth to make full use of creative and innovative intelligence of living systems for design automation. According to the relationship between different product structures with same function, the classification model of product pedigree is established, which can be used as unified functional isomorphic model during the intelligent conceptual design process. On the other hand, according to the evolutional logic from quality change to quantities change, pedigree based product evolutionary design strategy is given. Product pedigrees which are homology dependent are used as basic evolutionary models, based on which, the parameter based, interaction field based and interaction mater based evolutional conceptual design method are proposed, respectively. Based on the relation network of the pedigree units, multiple variant design schemes can be obtained, which is a strong backbone to the innovative design process. Finally, design examples are used to demonstrate the successful application of the proposed pedigree based evolutionary method in the product variant design.

The Simulator for Teaching how to Drive a Car for People with Disabilities

2013 ◽  
Vol 198 ◽  
pp. 59-64 ◽  
Author(s):  
Andrzej Dymarek ◽  
Tomasz Dzitkowski ◽  
Krzysztof Herbuś ◽  
Gabriel Kost ◽  
Piotr Ociepka
Keyword(s):  
Driving Simulator ◽  
People With Disabilities ◽  
Structure Design ◽  
Functional Structure ◽  
Passenger Car ◽  
The Disabled ◽  
Functional Structure Design ◽  
Car Driving

This work presents ideas for a passenger car driving simulator for teaching the disabled. The functional structure, design assumptions, and the concept and operation of the proposed simulator are presented.

Pedigree Based Product Conceptual Design

2012 ◽  
Vol 215-216 ◽  
pp. 597-601
Author(s):  
Kong Yao ◽  
Bong Yang ◽  
Xing Zu Wang ◽  
Chang Qing Gao
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Design Automation ◽  
Design Strategy ◽  
Conceptual Structure ◽  
Structure Design ◽  
Evolutionary Design ◽  
Innovative Design ◽  
Conceptual Structures ◽  
The Relationship

By applying pedigree into product conceptual structure design, an evolutionary conceptual design approach is set forth to make full use of creative and innovative intelligence of living systems for design automation. According to the evolutional logic of quantities to quality, the relationship between different conceptual structures is deduced and ordered，then is expressed as product pedigree. The classification description model of product pedigree is established, which can be used as unified functionally isomorphic model during the intelligent conceptual design process. On the other hand, according to the evolutional logic of quality to quantities, pedigree based product evolutionary design strategy are given. Based on the relation network among pedigree units, multiple variation designing schemes can be obtained, which is a strong backbone to the innovative design process. Finally, design examples are used to demonstrate the successful application of the proposed pedigree based evolutionary method in the multi-scheme conceptual design of product.

Design synthesis knowledge and inductive machine learning

2001 ◽  
Vol 15 (3) ◽  
pp. 233-249 ◽  
Author(s):  
S. POTTER ◽  
M.J. DARLINGTON ◽  
S.J. CULLEY ◽  
P.K. CHAWDHRY
Keyword(s):  
Machine Learning ◽  
Conceptual Design ◽  
Design Process ◽  
Learning Algorithm ◽  
Early Stage ◽  
Machine Learning Techniques ◽  
Design Synthesis ◽  
Conceptual Design Phase ◽  
Learning Techniques ◽  
Inductive Machine Learning

A crucial early stage in the engineering design process is the conceptual design phase, during which an initial solution design is generated. The quality of this initial design has a great bearing on the quality and success of the produced artefact. Typically, the knowledge required to perform this task is only acquired through many years of experience, and so is often at a premium. This has led to a number of attempts to automate this phase using intelligent computer systems. However, the knowledge of how to generate designs has proved difficult to acquire directly from human experts, and as a result, is often unsatisfactory in these systems. The application of inductive machine learning techniques to the acquisition of this sort of knowledge has been advocated as one approach to overcoming the difficulties surrounding its capture. Rather than acquiring the knowledge from human experts, the knowledge would be inferred automatically from a set of examples of the design process. This paper describes the authors' investigations into the general viability of this approach in the context of one particular conceptual design task, that of the design of fluid power circuits. The analysis of a series of experiments highlights a number of issues that would seem to arise regardless of the working domain or particular machine learning algorithm used. These issues, presented and discussed here, cast serious doubts upon the practicality of such an approach to knowledge acquisition, given the current state of the art.

Sign in / Sign up

Export Citation Format

Share Document