scholarly journals GLOBALLY ROBUST ENGINEERING DESIGN USING COMPLEXITY RULES

Author(s):  
Julien Bouleti ◽  
Stéphane Caro ◽  
Jorge Angeles

The paper aims at defining some complexity indices that would help designers of robotic mechanical systems to develop their goods with a globally robust design. Complexity is a relevant criterion in a globally robust design problem. Formerly a philosophical concept, it is nowadays well defined mathematically, but mainly used in computer science. However, design complexity is not defined yet in the literature. First, the notion of globally robust design and a design process model are set forth. Then, four design complexity indices are introduced. The first uses the notion of variance, the second is based on entropy, the third uses the notion of spectral richness, and the last one uses the notion of spectral noise. Finally, these four indices are compared by means of an analysis of the complexity of several distributions of subproducts.

Author(s):  
Jason A. Foster ◽  
Patricia K. Sheridan

Engineering faculty develop both design courses and design contests and competitions. These design experiences target and involve a wide variety of participants including students, faculty members, and members of the engineering profession. Given constraints on faculty time and resources, a common taxonomy and set of archetypes has the potential to increase the efficiency and effectiveness of the design of these experiences. Such a taxonomy can also prompt discussion among engineering design educators regarding their design pedagogy. This paper presents the initial development of such a taxonomy by modeling design experiences using an engineering design process model. Each stage of the design process model has been augmented with a set of common design decisions found in such experiences at the University of Toronto. Although preliminary, this augmented model shows promise as the foundation of both a taxonomy of design experiences and a handbook of design experience design.


Author(s):  
Thomas Kormeier ◽  
Stephan Rudolph

Towards the future goal of providing a unified computer aided engineering design framework, engineering design languages are an already available option. Their application allows to formalize the computer aided design synthesis and analysis process. Design languages serve as a computable abstraction of design representation and synthesis processes by use of rule-based information processing mechanisms. In many design languages, recurrent rule patterns can be observed at various levels of abstraction in the synthesis processes. This gives rise to the existence hypothesis of generic patterns in such design information processing systems. As the abstraction of such a recurrent generic pattern, a self-similar design paradigm for design languages is introduced and investigated in this work. The self-similar design paradigm implies itself from a discussion on the nature of design problems and their solution implementation using design languages. The purpose of this self-similar design paradigm is to combine both top-down and bottom-up design sequences to form a consistent and recursive design process model. The self-similar design paradigm constitutes a theoretical framework for the thorough exploration of design spaces. It should be applicable on all abstraction levels of a design process. A comprehensive design methodology is developed by explaining how the self-similar design paradigm is reflected in the data abstraction and representation models which are both inherent to the design with design languages. As a conclusion, the completeness and the generality of the approach is investigated and discussed.


Author(s):  
STEPHEN C.-Y. LU ◽  
JIAN CAI

Collaborative engineering design involves various stakeholders with different perspectives. The design process is relatively complex and difficult to handle. Various conflicts always happen among the design tasks and affect the design team performance. Therefore, to represent the collaborative design process and capture the evolution of design perspectives in a structured way, it is critical to manage the design conflicts and improve the collaborative design productivity. This article provides a generic collaborative design process model based on a sociotechnical design framework. This model has a topological format and adopts process analysis techniques from Petri Nets. By addressing both the technical and social aspects of collaborative design activities, it provides a mechanism to identify the interdependencies among design tasks and perspectives of different stakeholders. Based on this design process model, a methodology of detecting and handling the design conflicts is developed to support collaborative design coordination.


2020 ◽  
Vol 15 ◽  
Author(s):  
Jin Li ◽  
Xingsheng Jiang ◽  
Jingye Li ◽  
Yadong Zhao ◽  
Xuexing Li

Background: In the whole design process of modular fuel tank, there are some unreasonable phenomena. As a result, there are some defects in the design of modular fuel tank, and the function does not meet the requirements in advance. This paper studies this problem. Objective: Through on-the-spot investigation of the factory, a mechanical design process model is designed. The model can provide reference for product design participants on product design time and design quality, and can effectively solve the problem of low product design quality caused by unreasonable product design time arrangement. Methods: After sorting out the data from the factory investigation, computer software is used to program, simulate the information input of mechanical design process, and the final reference value is got. Results: This mechanical design process model is used to guide the design and production of a new project, nearly 3 months ahead of the original project completion time. Conclusion: This mechanical design process model can effectively guide the product design process, which is of great significance to the whole mechanical design field.


Author(s):  
Marierose Van Dooren ◽  
Valentijn Visch ◽  
Renske Spijkerman ◽  
Richard Goossens ◽  
Vincent Hendriks

Personalization, the involvement of stakeholders in the design process, is often applied in serious game design for health. It is expected to enhance the alignment of a game to the preferences and capacities of the end-user, thereby increasing the end-user’s motivation to interact with the game, which finally might enhance the aimed-for health effects of the game. However, the nature and effect of personalization have never been systematically studied, making assumptions regarding personalization ungrounded. In this literature review, we firstly provide a proposal of our Personalized Design Process-model, where personalization is defined as stakeholder involvement in the Problem Definition-, Product Design- and/or Tailoring Phase. Secondly, we conducted a systematic literature review on this model, focusing on health and its effects. In this review, 62 of the 2579 found studies were included. Analysis showed that a minority of the studies were of methodologically higher quality and some of these tested the health effect by contrasting tailored versus non-tailored games. Most studies involved stakeholders in the Tailoring Design Phase. Therefore, we conclude that involving stakeholders in the Tailoring Phase is valuable. However, to know if personalization is effective in the Product Design- and the Problem Definition Phase, more studies are needed.


Author(s):  
Tetsuo Tomiyama

Abstract This paper proposes a new design process model that unifies theoretical results of General Design Theory (GDT) and empirical findings obtained from design experiments. It first reviews the design process models that were developed within theoretical work on GDT. Then, we describe experimental work on design based on protocol analysis, which resulted in a cognitive design process model from which further a computable design process model was derived. While these experimental results are supposed to support the theoretical conclusions obtained from GDT, we could also find out incompatibilities. We then propose a new design process model, called the refinement design process model, that can unify both theoretical results of GDT and experimental finding obtained from design experiments. The refinement model has better agreements with experimental findings and suggests various issues as a guiding principle to develop a future, advanced CAD system that helps a designer to focus on functional information. We propose and illustrate the concepts of such an advanced CAD system equipped with intensive design knowledge, called a computational framework for knowledge intensive engineering.


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