scholarly journals Solving Parametric Design Problems Requiring Configuration Choices

1991 ◽  
Author(s):  
Rajan Ramaswamy ◽  
Karl T. Ulrich ◽  
Norimasa Kishi ◽  
Minoru Tomikashi
Keyword(s):  
Parametric Optimization ◽  
Parametric Design ◽  
Design System ◽  
Continuous Variables ◽  
Design Problems ◽  
Math Programming ◽  
Graph Theoretic ◽  
Knowledge Based ◽  
Programming Knowledge ◽  
Novel Design

Abstract Many design tasks involve selection from a set of configurations followed by parametric optimization of the chosen configuration. The models used for these tasks tend to be large, non-linear and involve both discrete and continuous variables. It is rarely possible to use any single formal algorithm to solve these problems and as a result there are few tools to help designers solve such problems. We believe computer environments that allow flexible access to a varied set of tools will help designers rapidly generate high quality solutions. We demonstrate our arguments on a design problem taken from a commercial auto manufacturer, propose a framework for dealing with the general class of problems and describe an implementation of a novel design system that integrates math programming, knowledge-based and graph theoretic tools.

scholarly journals Solving Parametric Design Problems Requiring Configuration Choices

1993 ◽  
Vol 115 (1) ◽  
pp. 20-28 ◽  
Author(s):  
R. Ramaswamy ◽  
K. Ulrich ◽  
N. Kishi ◽  
M. Tomikashi
Keyword(s):  
Parametric Design ◽  
Design System ◽  
Small Range ◽  
Continuous Variables ◽  
Design Problems ◽  
Disk Radius ◽  
Design Algorithm ◽  
Graph Theoretic ◽  
Knowledge Based ◽  
Computer Environment

The solution of many design problems involves two steps: the designer (1) creates a configuration by making component choices and (2) selects values for the parameters associated with the components in that configuration. For example, in automobile design a configuration decision may be to use disk brakes and a single turbocharger. Consequently, the parametric values to be chosen include disk radius and turbo inlet area. Mathematical models used to represent such problems and to evaluate chosen alternatives are often large, nonlinear, and involve both discrete and continuous variables. Because no single design algorithm will usually suffice in solving such problems, currently available computer tools are typically limited to a small range of problems or to parts of large problems. We believe a computer environment that allows flexible access to a diverse set of tools can help designers rapidly generate high quality solutions to a broad range of problems. In this paper, we test this belief on a design problem taken from a commercial auto manufacturer. We propose a framework for dealing with the general class of problems, and we describe the implementation of a novel design system that integrates math programming with knowledge-based and graph theoretic tools.

Optimization in a Design System for Complex Products

1992 ◽  
Author(s):  
Johan Malmqvist
Keyword(s):  
Parametric Design ◽  
System Optimization ◽  
Optimization Method ◽  
Design System ◽  
Design Problems ◽  
Design And Optimization ◽  
Complex Products ◽  
Knowledge Based ◽  
Product Models ◽  
Use Of Knowledge

Abstract This paper describes a system for parametric design and optimization of complex products. In the system, the use of knowledge-based and mathematical programming methods is combined. The motivation is that while knowledge-based methods are well suited for modeling products, they are insufficient when dealing with design problems that can be given an optimization formulation. This weakness was approached by including the information necessary for stating an optimization problem in the product models. A system optimization method can then be applied. The system also performs sensitivity analysis and has an interactive optimization module. The use of the system is illustrated by an example; the design and optimization of a two-speed gearbox.

A knowledge-based parametric design system for drawing dies

2007 ◽  
Vol 36 (7-8) ◽  
pp. 671-680 ◽  
Author(s):  
Bor-Tsuen Lin ◽  
Chian-Kun Chan ◽  
Jung-Ching Wang
Keyword(s):  
Parametric Design ◽  
Design System ◽  
Knowledge Based ◽  
Drawing Dies

Parametric Design Model of Disc-Scoop-Type Metering Device Based on Knowledge Engineering

2013 ◽  
Vol 834-836 ◽  
pp. 1432-1435
Author(s):  
Yu Yang
Keyword(s):  
Design Theory ◽  
Parametric Design ◽  
Knowledge Engineering ◽  
Design Method ◽  
Design System ◽  
Specific Design ◽  
Knowledge Based ◽  
Framework Model ◽  
Design Cycle ◽  
Machinery Design

Traditional agricultural machinery design methods usually go through longer-design cycle and can hardly make good use of existing knowledge and experience. In view of this problem, parametric design theory and knowledge-based engineering were applied to the disc-scoop-type metering device designed to improve the design experience and reuse design knowledge. Through the knowledge-based parametric design method, the design framework model of disc-scoop-type metering device was put forward. The knowledge library on the basis of design rules and characteristic similarity-based case library were created, and disc-scoop-type metering device parametric design system based on knowledge had been developed on the platform of Pro/Engineering. The rapid design for knowledge-driven model of disc-scoop-type metering device was realized. The specific design examples clearly indicated that the establishment of the system considerately improved the quality and efficiency of the design.

Rod Design: A Concept to Production Connecting Rod Design System

1994 ◽  
Author(s):  
Eric L. Chau
Keyword(s):  
Lead Time ◽  
Parametric Design ◽  
State Of The Art ◽  
Design System ◽  
Connecting Rod ◽  
Design Environment ◽  
Lead Time Reduction ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Engineering Constraint

Abstract A Concept to Production Parametric Design Environment for connecting rod design is described. The system utilizes state of the art knowledge based engineering, constraint based reasoning, computer aided engineering (CAE), design (CAD), and manufacturing (CAM) technology to achieve 80% lead time reduction on prototype parts with similar lead time reductions possible on production parts.

scholarly journals THE INFLUENCE OF DESIGN BRIEF INFORMATION ON CREATIVE OUTCOMES BY NOVICE AND ADVANCED STUDENTS

2021 ◽  
Vol 1 ◽  
pp. 3041-3050
Author(s):  
Georgios Koronis ◽  
Hernan Casakin ◽  
Arlindo Silva ◽  
Jacob Kai Siang Kang
Keyword(s):  
Design Education ◽  
Design Problems ◽  
Frame Design ◽  
Design Creativity ◽  
Abstract Representations ◽  
Advanced Students ◽  
Different Types ◽  
Fishbone Diagram ◽  
Design Expertise ◽  
Novel Design

AbstractThis study centers on using different types of brief information to support creative outcomes in architectural and engineering design and its relation to design expertise. We explore the influence of design briefs characterized by abstract representations and/or instructions to frame design problems on the creativity of concept sketches produced by novice and advanced students. Abstract representations of problem requirements served as stimuli to encourage associative thinking and knowledge transfer. The Ishikawa/Fishbone Diagram was used to foster design restructuring and to modify viewpoints about the main design drives and goals. The design outcomes generated by novice and advanced engineering/architecture students were assessed for their creativity using a pairwise experimental design. Results indicated that advanced students generated more novel design solutions while also contributing the most useful solutions overall. Implications for creativity in design education and professional practice are presented. Educational programs aimed at promoting creativity in the design studio may find it helpful to consider that the way design briefs are constructed can either promote or inhibit different aspects of design creativity.

scholarly journals A Multimodal Smart Quantum Particle Swarm Optimization for Electromagnetic Design Optimization Problems

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4613
Author(s):  
Shah Fahad ◽  
Shiyou Yang ◽  
Rehan Ali Khan ◽  
Shafiullah Khan ◽  
Shoaib Ahmed Khan
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Problems ◽  
Quantum Particle ◽  
Particle Swarm ◽  
Continuous Variables ◽  
Design Problems ◽  
Swarm Optimization ◽  
Electromagnetic Design ◽  
Quantum Particle Swarm Optimization ◽  
Engineering Design Problems

Electromagnetic design problems are generally formulated as nonlinear programming problems with multimodal objective functions and continuous variables. These can be solved by either a deterministic or a stochastic optimization algorithm. Recently, many intelligent optimization algorithms, such as particle swarm optimization (PSO), genetic algorithm (GA) and artificial bee colony (ABC), have been proposed and applied to electromagnetic design problems with promising results. However, there is no universal algorithm which can be used to solve engineering design problems. In this paper, a stochastic smart quantum particle swarm optimization (SQPSO) algorithm is introduced. In the proposed SQPSO, to tackle the premature convergence problem in order to improve the global search ability, a smart particle and a memory archive are adopted instead of mutation operations. Moreover, to enhance the exploration searching ability, a new set of random numbers and control parameters are introduced. Experimental results validate that the adopted control policy in this work can achieve a good balance between exploration and exploitation. Finally, the SQPSO has been tested on well-known optimization benchmark functions and implemented on the electromagnetic TEAM workshop problem 22. The simulation result shows an outstanding capability of the proposed algorithm in speeding convergence compared to other algorithms.

DEVELOPMENT OF A KNOWLEDGE-BASED INTELLIGENT CAD SYSTEM FOR AUTOMOTIVE PANEL DIE

2008 ◽  
Vol 07 (01) ◽  
pp. 51-54 ◽  
Author(s):  
HUI-XIA LIU ◽  
WEI WEI ◽  
XIAO WANG ◽  
LAN CAI
Keyword(s):  
Die Design ◽  
Design System ◽  
Working Process ◽  
Cad System ◽  
Knowledge Based ◽  
Working Principle ◽  
Panel Die ◽  
Automotive Panels ◽  
Automotive Panel

A knowledge-based intelligent die design system for automotive panels is developed by UG software platform. This system can accomplish design intelligently and automatically through engineering rules in the knowledge base. The framework and implementation of the system are discussed. Finally, a case study of the panel die design of car trunk in the system is implemented, which illustrates working process, working principle, implement method and practicability of the system, and validates the advanced design conception proposed in this paper.

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