Representing Conceptual Design Knowledge with Multi-Layered Logic

1996 ◽  
pp. 93-108
Author(s):  
K Clibbon ◽  
E Edmonds ◽  
L Candy
Keyword(s):  
Conceptual Design ◽  
Design Knowledge

Personalized knowledge push system based on design intent and user interest

2015 ◽  
Vol 230 (11) ◽  
pp. 1757-1772 ◽  
Author(s):  
Zhan-Song Wang ◽  
Ling Tian ◽  
Yuan-Hao Wu ◽  
Bei-Bei Liu
Keyword(s):  
Knowledge Acquisition ◽  
Conceptual Design ◽  
Current Knowledge ◽  
Target Function ◽  
Design Knowledge ◽  
Prototype System ◽  
Sorting Algorithm ◽  
Illustrative Case ◽  
User Interest ◽  
Design Intent

Existing knowledge provides important reference for designers in mechanical design activities. However, current knowledge acquisition methods based on information retrieval have the problem of inefficiency and low precision, which mainly meet the requirement for knowledge coverage. To improve the efficiency of knowledge acquisition and ensure the availability of design knowledge, this paper proposes a knowledge push service method based on design intent and user interest. First, the design intent model, which is mainly the formal expression of the target function of conceptual design, is built. Second, the user interest model that consists of domain themes and operation logs is built, and an automatic updating method of user interest is proposed. Third, a matching method of design knowledge based on design intent, and a sorting algorithm of knowledge candidates based on user interest are proposed to realize personalized knowledge active push service. Finally, a prototype system called Personalized Knowledge Push System for Mechanical Conceptual Design (MCD-PKPS) is implemented. An illustrative case demonstrates that the proposed method can successfully improve the efficiency and availability of knowledge acquisition.

Conceptual Design Knowledge Management and the Semantic Web

2005 ◽  
Author(s):  
Joseph B. Kopena ◽  
Christopher D. Cera ◽  
William C. Regli
Keyword(s):  
Semantic Web ◽  
Conceptual Design ◽  
Automated Reasoning ◽  
Description Logic ◽  
Design Knowledge ◽  
Semantic Web Technology ◽  
Design Engineers ◽  
Conceptual Design Phase ◽  
Mechanical Devices ◽  
New Applications

The early stages of engineering design are critical, as the decisions made at this point have the most impact on the final product. However, little software is available to support engineers during the initial, conceptual design phase. In addition, at this and all other stages of design, engineers are increasingly tasked with utilizing unwieldy collections of data such as databases of legacy designs and catalogs. This work addresses both of these issues. A conceptual design interface with several advancements crucial to industrial deployment is developed and used to aid design. Among these are provisions for real-time collaboration and security. A representation of mechanical devices based on intended function is developed and used by the conceptual design interface to capture design semantics. This representation is defined using a description logic, enabling automated reasoning. The descriptions created using the conceptual design interface can thus be employed to annotate designs, create search queries, and to organize collections of designs. Further, this work incorporates Semantic Web technology, enabling conceptual design knowledge to be published and accessed effectively on the World Wide Web. New applications of design repositories are made possible by this but new issues must be investigated and addressed, as discussed here.

Interactive constraint-aided conceptual design

2002 ◽  
Vol 16 (4) ◽  
pp. 303-328 ◽  
Author(s):  
BARRY O'SULLIVAN
Keyword(s):  
Conceptual Design ◽  
Development Process ◽  
Interactive Design ◽  
Product Development Process ◽  
Design Knowledge ◽  
Design Specification ◽  
General Technique ◽  
Support Tool ◽  
Design Support Tool ◽  
Computational Reasoning

Engineering conceptual design can be defined as that phase of the product development process during which the designer takes a specification for a product to be designed and generates many broad solutions to it. This paper presents a constraint-based approach to supporting interactive conceptual design. The approach is based on an expressive and general technique for modeling: the design knowledge that a designer can exploit during a design project; the life-cycle environment that the final product faces; the design specification that defines the set of requirements the product must satisfy; and the structure of the various schemes that are developed by the designer. A computational reasoning environment based on constraint filtering is proposed as the basis of an interactive design support tool. Using such a tool, human designers can be assisted in interactively developing and evaluating a set of schemes that satisfy the various constraints imposed on the design.

scholarly journals Research on new creative conceptual design system using adapted case-based reasoning technique

2016 ◽  
Vol 31 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Jie Hu ◽  
Jin Ma ◽  
Jin-Feng Feng ◽  
Ying-Hong Peng
Keyword(s):  
Knowledge Representation ◽  
Conceptual Design ◽  
Design System ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Pump Design ◽  
Design Models ◽  
Representation Model ◽  
Previous Design ◽  
Case Based

AbstractCreative conceptual design requires significant previous design knowledge. Case-based reasoning enables learning from previous design experience and has a great potential in supporting creative conceptual design by means of seeking to retrieve, reuse, and revise most appropriate cases to generate inspired solutions. However, traditional case-based reasoning based creative conceptual design models focus on design strategies research, pay little attention to defining a consistent knowledge representation model, and neglect the research to make various types of knowledge retrieval tractable. Faced with such drawbacks, the expected design knowledge cannot be retrieved properly, especially in cases where multidisciplinary knowledge is concerned or exact query terms are absent. In order to solve these issues, this paper presents a combined approach to support creative conceptual design process. First, function–behavior–structure knowledge cell is introduced as a unified consistent design knowledge representation model. Second, a hybrid similarity measure is proposed to increase the overall possibility of obtaining useful design knowledge by considering semantic understanding ability. Third, an intelligent creative conceptual design system has been developed with a case study of a novel insulin pump design to demonstrate its usage, and two experiments are conducted to evaluate the performance of the proposed approach. The results show that the proposed approach outperforms other case-based reasoning based creative conceptual design models.

Metrics for Assessing Design Freedom and Information Certainty in the Early Stages of Design

1998 ◽  
Vol 120 (4) ◽  
pp. 628-635 ◽  
Author(s):  
T. W. Simpson ◽  
D. Rosen ◽  
J. K. Allen ◽  
F. Mistree
Keyword(s):  
Conceptual Design ◽  
Design Knowledge ◽  
Engineering Systems ◽  
Point Sets ◽  
Design Specifications ◽  
Early Stages ◽  
Per Se ◽  
Level Design ◽  
Primary Focus ◽  
Design Freedom

Our primary focus in this paper is on open engineering systems. Developing ranged sets (as opposed to point sets) of top-level design specifications is a means to enhance openness and system flexibility by increasing design knowledge while maintaining design freedom. Consequently, our secondary focus in this paper is on metrics for assessing the design freedom and information certainty associated with a ranged set of top-level design specifications. As a demonstration, these metrics are applied to an example problem, namely, the conceptual design of a family of aircraft. Our emphasis in this paper is on introducing open engineering systems and metrics for design freedom and information certainty, and not on the example, per se.

Constrained FBS knowledge cell model, representation, and applications for conceptual design

2015 ◽  
Vol 230 (11) ◽  
pp. 1773-1786 ◽  
Author(s):  
Jin Ma ◽  
Jie Hu ◽  
Jin-Feng Feng ◽  
Jin Qi ◽  
Ying-Hong Peng
Keyword(s):  
Knowledge Representation ◽  
Conceptual Design ◽  
Design Process ◽  
Integrated Approach ◽  
Synthesis Process ◽  
Design Knowledge ◽  
Knowledge Reuse ◽  
Representation Model ◽  
Design Solutions ◽  
Design Knowledge Reuse

Conceptual design plays a pivotal role in generating creative design solutions and, in most cases, reuse of existing design knowledge is necessary. However, lack of a consistent design knowledge representation model and neglect of an integrated approach to support various formats of design knowledge reuse constrain conceptual design from transforming design requirements into practical promising design solutions. In order to solve these problems, this paper presents a constrained function-behavior-structure knowledge cell (CFBS) model to provide conceptual design process with a consistent knowledge representation model. CFBS-based integrated approach for design knowledge reuse is proposed, which includes three-level CFBS retrieval process to obtain most relevant CFBS expressed in various types, three-stage design synthesis process to produce suggested design solutions, and evaluation process to select the most feasible design solutions. The effectiveness of the proposed design process was illustrated with conceptual design of the micro-feed drive module of insulin pump based on the CFBS library.

Identifying and Processing Undesired Functions During Conceptual Design

2004 ◽  
Author(s):  
Christine Bruch ◽  
Hans Grabowski
Keyword(s):  
Distribution Function ◽  
Conceptual Design ◽  
Mechanical Engineering ◽  
State Transition ◽  
Design Knowledge ◽  
Formal Definition ◽  
Dynamic Design ◽  
Elementary Steps ◽  
Definition Of ◽  
Generic Process

This paper addresses the problem of product fault anticipation and prevention during conceptual design of mechanical engineering products by introducing the concept of undesired functions as potential fault causes. The undesired functions considered in this paper are induced during solution principle synthesis and affect a product either by reducing the input of its intended functions or by producing undesired outputs, and can be processed either by determining and optimizing their distribution function, or by finding inverse, consecutive or compensation functions to them. The formal definition of the generic process of processing undesired functions bases on its subdivision into elementary steps, each step being described by its states and the according state transition. Object patterns and process patterns are adopted for the representation of the static and dynamic design knowledge respectively. The concept is verified with a product example from mechanical engineering.

Formalizing Flow Relationships in Data Archival and Reuse for Product Design

2011 ◽  
Author(s):  
Matt R. Bohm ◽  
Robert L. Nagel
Keyword(s):  
Product Design ◽  
Conceptual Design ◽  
Black Box ◽  
Design Knowledge ◽  
Knowledge Reuse ◽  
Functional Modeling ◽  
Carrier Flow ◽  
The Relationship ◽  
Design Scenario

This paper explores the relationship between primary and carrier flows for design knowledge archival and reuse. Often, it is noted that flows (especially when modeling materials and signals) through an engineered system are accompanied by supporting flows (often energies). These accompanying flows (termed carrier flows), while being important to the overall (or black box) functionality of the system, are often of lesser interest during functional modeling activities related to conceptual design. However, when modeling a system for archival and reuse, not capturing these flows could hinder some of the more creative leaps where flows once used as a carrier flow in a system are now identified as viable primary flows. When systems are modeled utilizing primary/carrier flow designations, it may be easier to search and locate analogous systems. From a knowledge reuse standpoint, the physical solutions to carrier flows in one system may also be the physical solutions to primary flows in another design scenario. To assist with modeling, known primary/carrier flow combinations are presented in this paper. Modeling, archival, and reuse are presented, and the potential to identify creative leaps is explored.

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