Engineering Design Synthesis

2002 ◽  
Keyword(s):  
Engineering Design ◽  
Design Synthesis

Two Approaches to the Induction of Graph-Rewriting Rules for Function-Based Design Synthesis

2016 ◽  
Author(s):  
Julian R. Eichhoff ◽  
Felix Baumann ◽  
Dieter Roller
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Automatic Generation ◽  
Production Rules ◽  
Design Synthesis ◽  
Graph Rewriting ◽  
Conceptual Engineering ◽  
Frequent Subgraph ◽  
Rule Set ◽  
Rewriting Rules

In this paper we demonstrate and compare two complementary approaches to the automatic generation of production rules from a set of given graphs representing sample designs. The first approach generates a complete rule set from scratch by means of frequent subgraph discovery. Whereas the second approach is intended to learn additional rules that fit an existing, yet incomplete, rule set using genetic programming. Both approaches have been developed and tested in the context of an application for automated conceptual engineering design, more specifically functional decomposition. They can be considered feasible, complementary approaches to the automatic inference of graph rewriting rules for conceptual design applications.

Backward Mapping Methodology for Design Synthesis

1999 ◽  
Author(s):  
Stephen C.-Y. Lu ◽  
Satish T. S. Bukkapatnam ◽  
Ping Ge ◽  
Nanxin Wang
Keyword(s):  
Engineering Design ◽  
Design Space ◽  
Initial Conditions ◽  
Early Stage ◽  
Critical Role ◽  
Product Development Process ◽  
Engineering System ◽  
Design Synthesis ◽  
Performance Space ◽  
Backward Mapping

Abstract Design efficiency and robustness at early stage of parametric engineering design play a critical role in reducing cycle time and improving product quality in the overall product development process. Usually, the “forward mapping” approach, is used to find designs, where the desirable performances are satisfied through large iterations of analysis and evaluation from design space to performance space. However, these approaches are time-consuming and involve blind search if the engineering system simulation models and/or initial conditions are not appropriately selected. On the other hand, common “reverse engineering” methods use domain-specific assumptions and are not effective in generic scenarios where the presumed conditions are violated. In this paper, a Backward Mapping Methodology for Design Synthesis (BMDS) is presented that can help conduct design synthesis rapidly and robustly at early stage of parametric engineering design. BMDS is a surrogate model-based approach that combines the strengths of metamodeling and statistics. It can help designers explicitly identify the robust design solutions that satisfy the designer-specified performance requirements through a “backward mapping” from the performance space directly to the design space. Preliminary case studies show its effectiveness and potential to be used as a generic early stage parametric design synthesis methodology in the future.

Present Trends in Designing of Technical Systems

2013 ◽  
Vol 460 ◽  
pp. 73-80 ◽  
Author(s):  
Jaroslav Šeminský
Keyword(s):  
Product Development ◽  
Engineering Design ◽  
Design Research ◽  
Design Knowledge ◽  
Problem Size ◽  
Design Synthesis ◽  
New Methods ◽  
Long Time ◽  
Technical Systems ◽  
Design Theories

Paper is focused to the development in designing of technical systems and present methodology approaches. For a long time, engineering design research has been focused on the development of various design theories, methodologies, methods, tools, and procedures. Engineers to more efficiently design artefacts have subsequently used that design methods. However, as the artefacts have grown in complexity, the need for new methods has become obvious. Also, in a nowadays world, increased competition and globalisation require organizations to re-examine traditional product development strategies. While the difficulties in design synthesis are caused by a wide variety of issues, the complicatedness under problem size is so essential that it make procedural design knowledge insufficient to generate superior design solutions.

scholarly journals Evolutionary engineering design synthesis of on-board traffic monitoring sensors

2008 ◽  
Vol 19 (2-3) ◽  
pp. 113-125 ◽  
Author(s):  
Yizhen Zhang ◽  
Erik K. Antonsson ◽  
Alcherio Martinoli
Keyword(s):  
Engineering Design ◽  
Traffic Monitoring ◽  
Evolutionary Engineering ◽  
Design Synthesis

Computer-Based Design Synthesis Research: An Overview

2011 ◽  
Vol 11 (2) ◽  
Author(s):  
Amaresh Chakrabarti ◽  
Kristina Shea ◽  
Robert Stone ◽  
Jonathan Cagan ◽  
Matthew Campbell ◽  
...  
Keyword(s):  
Engineering Design ◽  
Computational Design ◽  
Design Synthesis ◽  
The Past ◽  
Computer Based ◽  
Design Solutions ◽  
Synthesis Research ◽  
Computational Design Synthesis

One of the hallmarks of engineering design is the design synthesis phase where the creativity of the designer most prominently comes into play as solutions are generated to meet underlying needs. Over the past decades, methodologies for generating concepts and design solutions have matured to the point that computation-based synthesis provides a means to explore a wider variety of solutions and take over more tedious design tasks. This paper reviews advances in function-based, grammar-based, and analogy-based synthesis approaches and their contributions to computational design synthesis research in the last decade.

Engineering design synthesis: a domain independent representation

1987 ◽  
Vol 1 (3) ◽  
pp. 207-213 ◽  
Author(s):  
Mary Lou Maher
Keyword(s):  
Engineering Design ◽  
Structural Design ◽  
Problem Decomposition ◽  
Engineering Systems ◽  
Design Decisions ◽  
Design Synthesis ◽  
Knowledge Based ◽  
Design Alternatives ◽  
Independent Synthesis ◽  
Domain Independent

The knowledge used in the design of engineering systems includes: understanding systems and their components, and the understanding implications of design decisions on other decisions and further problem decomposition This paper presents design as a process and then characterizes the knowledge used in synthesizing design alternatives. A knowledge based approach to design synthesis is proposed, followed by a description of the implementation of a domain independent synthesis framework. The implementation is further illustrated by an example application to structural design.

Knowledge Retention and Scoring Metrics for Functional Modeling in an Engineering Design Context

2016 ◽  
Author(s):  
Marie Riggs ◽  
Philip Mountain ◽  
Robert L. Nagel ◽  
Matt R. Bohm ◽  
Julie S. Linsey
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
Knowledge Retention ◽  
Functional Modeling ◽  
Design Synthesis ◽  
Functional Models ◽  
Data Points ◽  
Design Skills ◽  
Teaching Function ◽  
The Impact

Functional modeling as a design methodology is often covered in engineering design texts as a tool for transforming “customer speak” into “engineering speak.” There is little to no empirical data, though, that clearly demonstrates that learning functional modeling actually improves students’ engineering design skills. The overall objective of this project is to determine the impact of teaching function on engineering students’ design synthesis abilities. This paper focuses on preliminary data collected as a part of the longitudinal study. Students were asked to generate functional models of functionally similar systems at two points during an engineering design course: (1) once as a homework assignment immediately following the introduction of the topic and (2) again as a low stakes in-class activity seven weeks later. This paper will present the comparison of models created at both data points. Student models at each time point are analyzed using a validated 18-question rubric. The results provide promise that, in general, students retain their modeling ability, but there are noted characteristic differences between homework-generated functional models and those generated later in the semester during an in-class activity. These characteristics will be discussed as will potential improvements to the scoring rubric.

Logic-Based Evaluation Metrics for Concept Evaluation

2014 ◽  
Author(s):  
Ang Liu ◽  
Wei Wei ◽  
Stephen C.-Y. Lu
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Abductive Reasoning ◽  
Evaluation Procedure ◽  
Design Synthesis ◽  
Engineering Design Process ◽  
Concept Evaluation ◽  
Common Activity ◽  
Independent Design ◽  
Domain Independent

Synthesis is a common activity in engineering design. It is widely recognized to be important to the whole engineering design process in general, and to the early design stages in particular. In the past, however, there remains lack of a set of rigorous metrics to evaluate the effectiveness of performing design synthesis in conceptual design. Based on relevant studies of abductive reasoning in logic, this paper introduces a set of domain-independent design synthesis metric: clarity, feasibility, testability, simplicity, and analogy. For each metrics, the rationale of including it is explained, and a systemic evaluation procedure is prescribed. Individually, each metrics addresses a particular aspect of design synthesis in conceptual design. Collectively, the combined consideration of all metrics as a single vector helps the designer to identify the most promising synthesis outcome, the best design concept, which both satisfies upstream objectives and meets downstream constraints.

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