Tuning Parameters in Engineering Design

1993 ◽  
Vol 115 (1) ◽  
pp. 14-19 ◽  
Author(s):  
K. N. Otto ◽  
E. K. Antonsson
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Manufacturing Process ◽  
Mathematical Formulation ◽  
Design Parameters ◽  
Taguchi’S Method ◽  
Operating Environment ◽  
Tuning Parameters ◽  
Mechanical Devices ◽  
Design And Manufacture

In the design and manufacture of mechanical devices, there are parameters whose values are determined by the manufacturing process in response to errors introduced in the devices’s manufacture or operating environment. Such parameters are termed tuning parameters, and are distinct from design parameters which the designer selects values for as a part of the design process. This paper introduces tuning parameters into the design methods of: optimization, Taguchi’s method, and the method of imprecision (Wood and Antonsson, 1989). The details of the mathematical formulation, along with a design example, are presented and discussed. Including tuning parameters in the design process can result in designs that are more tolerant of variational noise.

Tuning Parameters in Engineering Design

1991 ◽  
Author(s):  
Kevin N. Otto ◽  
Erik K. Antonsson
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Manufacturing Process ◽  
Mathematical Formulation ◽  
Design Parameters ◽  
Taguchi’S Method ◽  
Operating Environment ◽  
Tuning Parameters ◽  
Mechanical Devices ◽  
Design And Manufacture

Abstract In the design and manufacture of mechanical devices, there are parameters whose values are determined by the manufacturing process in response to errors introduced in the device’s manufacture or operating environment. Such parameters are termed tuning parameters, and are distinct from design parameters which the designer selects values for as a part of the design process. This paper introduces tuning parameters into the design methods of: optimization, Taguchi’s method, and the method of imprecision [8]. The details of the mathematical formulation, along with a design example, are presented and discussed. Including tuning parameters in the design process can result in designs that are more tolerant of variational noise.

A User-Engineering Design Interaction Supporting Rational Product Cooperative Design

2012 ◽  
Vol 155-156 ◽  
pp. 51-55
Author(s):  
Jian Jun Qin ◽  
Yan An Yao ◽  
Jian Wei Yang
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Market Analysis ◽  
Design Parameters ◽  
Target Market ◽  
Design Decision ◽  
Customer Requirements ◽  
Design Quality ◽  
Cooperative Design ◽  
Computing Platform

To input rational customer requirements into engineering design process more effectively and improve product design quality and market response efficiency, this paper focuses on the interaction between market analysis and engineering design decision for the modular product. While many researchers have successful evaluated and optimized the design schemes, few, if any, have provided a bridge the customer selection and firms product development decision. After a review of the literature we introduce the flow of user-engineering design interaction including both maximize the utility of customer and the profit of the firm. On the user and market analysis flow, customer requirements are defined according to the target market, then the customer selection possibility link to the product attributes by utility function. Accordingly, the alternatives are corresponding to the module different product, and then using decision support problem method to search the optimal design parameters. Two design domains can share the design information and realize the cooperative design process by computer computing platform.

Design for Environmentability

1991 ◽  
Author(s):  
D. Navinchandra
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Engineering Design ◽  
Design Process ◽  
Manufacturing Process ◽  
New Technologies ◽  
Green Engineering ◽  
Design Decisions ◽  
Environmental Friendliness ◽  
Final Disposal

Abstract There is a growing interest in making products environmentally more compatible. While there is a need to make products and processes less toxic, to increase recyclability, and to reduce waste; we have to try to achieve environmental friendliness without compromising product quality. This approach to design has come to be called Green Engineering Design. The aim is to identify, develop, and exploit new technologies that can bolster productivity without costing the environment. The idea is to inject concerns about environmental friendliness into the design process; where, the assessment of environmental friendliness is based on a life-cycle view of the product. This includes the product’s manufacturing process, distribution, use, and final disposal. Our approach to green engineering design has two pans: (1) the development of special green indicators — measures of environmental compatibility, and (2) tools that use the green indicators to help designers assess, compare, and make design decisions.

A framework for supporting multidisciplinary engineering design exploration and life-cycle design using underconstrained problem solving

2006 ◽  
Vol 20 (4) ◽  
pp. 329-350 ◽  
Author(s):  
XIU-TIAN YAN ◽  
HIROYUKI SAWADA
Keyword(s):  
Life Cycle ◽  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Solution Space ◽  
Design Approach ◽  
Design Solution ◽  
Design Parameters ◽  
Life Cycle Design ◽  
Algebraic Constraint

The problem investigated in this research is that engineering design decision making can be complicated and made difficult by highly coupled design parameters and the vast number of design parameters. This complication often hinders the full exploration of a design solution space in order to generate optimal design solution. These hindrances result in inferior or unfit design solutions generated for a given design problem due to a lack of understanding of both the problem and the solution space. This research introduces a computational framework of a new algebraic constraint-based design approach aimed at providing a deeper understanding of the design problem and enabling the designers to gain insights to the dynamic solution space and the problem. This will enable designers to make informed decisions based on the insights derived from parameter relationships extracted. This paper also describes an enhanced understanding of an engineering design process as a constraint centered design. It argues that with more effort and appreciation of the benefits derived from this constraint-based design approach, engineering design can be advanced significantly by first generating a more quantitative product design specification and then using these quantitative statements as the basis for constraint-based rigorous design. The approach has been investigated in the context of whole product life-cycle design and multidisciplinary design, aiming to derive a generic constraint-based design approach that can cope with life-cycle design and different engineering disciplines. A prototype system has been implemented based on a constraint-based system architecture. The paper gives details of the constraint-based design process through illustrating a worked real design example. The successful application of the approach in two highly coupled engineering design problems and the evaluation undertaken by a group of experienced designers show that the approach does provide the designers with insights for better exploration, enabled by the algebraic constraint solver. The approach thus provides a significant step towards fuller scale constraint-based scientific design.

Mixed quantitative/qualitative method for evaluating compromise solutions to conflicts in collaborative design

1995 ◽  
Vol 9 (4) ◽  
pp. 325-336 ◽  
Author(s):  
Dennis Bahler ◽  
Catherine Dupont ◽  
James Bowen
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Concurrent Engineering ◽  
Collaborative Design ◽  
Qualitative Method ◽  
Design Parameters ◽  
Bounded Domains ◽  
Design Teams ◽  
Compromise Solution ◽  
Compromise Solutions

AbstractConflicts are likely to arise among participants in a collaborative design process as the inevitable outgrowth of the differing perspectives and viewpoints involved. The opportunities for conflict are magnified if many perspectives are brought to bear on a common artifact early in the design process, as in concurrent engineering or integrated engineering. Design advice tools can assist in the process of resolving these conflicts by making critiques and suggestions conveniently available to design participants, and by offering a fair means of evaluating and comparing suggested alternatives for compromise solution. In previous work we introduced a protocol based on notions of economic utility by which design advice systems can recognize conflict and mediate negotiation fairly. This protocol allowed design teams to express the desire to maximize or minimize the values of design parameters over totally ordered bounded domains of values, such as real numeric intervals. In this paper we extend this approach by allowing expressed preferences of design teams to be qualitative as well as quantitative, by allowing teams to express interest in parameters before they actually come into existence, and by relaxing many other of the earlier restrictions on the ways teams may express their preferences.

Exploring the Engineering Design Process Through Computer-Aided Design and 3-D Printing

Science Scope ◽  
2017 ◽  
Vol 041 (01) ◽  
Author(s):  
Nicholas Garafolo ◽  
Nidaa Makki ◽  
Katrina Halasa ◽  
Wondimu Ahmed ◽  
Kristin Koskey ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Computer Aided Design ◽  
Engineering Design Process ◽  
Computer Aided ◽  
Aided Design

scholarly journals Challenging the engineering design process for the development of facial masks in the constraint of the COVID-19 pandemic

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 660-665
Author(s):  
Giovanni Formentini ◽  
Núria Boix Rodríguez ◽  
Claudio Favi ◽  
Marco Marconi
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Design Process

Classification of Iteration in Engineering Design Processes

1998 ◽  
Author(s):  
Michael J. Safoutin ◽  
Robert P. Smith
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Automation ◽  
Automated Design ◽  
Design Processes ◽  
Standard Definition ◽  
Design Iteration ◽  
Formal Study ◽  
Poor Understanding

Abstract As engineering design is subjected to increasingly formal study, an informal attitude continues to surround the topic of iteration. Today there is no standard definition or typology of iteration, no grounding theory, few metrics, and a poor understanding of its role in the design process. Existing literature provides little guidance in investigating issues of design that might be best approached in terms of iteration. We review contributions of existing literature toward the understanding of iteration in design, develop a classification of design iteration, compare iterative aspects of human and automated design, and draw some conclusions concerning management of iteration and approaches to design automation.

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