scholarly journals Design Thinking in Conceptual Design Processes: A Comparison Between Industrial and Engineering Design Students

10.5772/52460 ◽  
2013 ◽  
Author(s):  
Hao Jiang ◽  
Ching-Chiuan Ye
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Design Thinking ◽  
Design Processes ◽  
Design Students

Robust engineering design post-Taguchi

1989 ◽  
Vol 327 (1596) ◽  
pp. 605-616 ◽  
Keyword(s):  
Quality Control ◽  
Product Design ◽  
Engineering Design ◽  
Conceptual Design ◽  
Manufacturing Process ◽  
Design Thinking ◽  
Fundamental Idea ◽  
Design For Manufacture ◽  
Modern Engineering ◽  
Robust Engineering Design

A fundamental idea has emerged from the study of the work of Genichi Taguchi in off-line quality control. A product should be designed so that it is robust against variations in the manufacturing process and the environment in which it is used. But the idea is not entirely new. It appears in various forms in the vogues and syntax of modern engineering design. Thus we have ‘design to product’, ‘design for manufacture’, ‘conceptual design and innovation’, ‘systematic methodologies’ and so forth. It is the ability to describe robustness in statistical terms that ought to create a change in design thinking. But for this to happen professionals on both sides need to understand each other’s language. The paper attempts to bridge the gap by drawing heavily on the language of engineering design and giving recent examples of product design where both modes of thinking have benefited from each other.

scholarly journals Giving Meaning to Products Via a Conceptual Design Approach

2019 ◽  
Vol 1 (1) ◽  
pp. 1513-1522
Author(s):  
Naz Yaldız ◽  
Mark Bailey
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Design Process ◽  
Design Thinking ◽  
Search For Meaning ◽  
Design Decisions ◽  
Good Design ◽  
Fundamental Process ◽  
The Right ◽  
Solution Focused

AbstractAlthough the conceptual design is a fundamental process through which design decisions are made, its focus is on finding the right solution. Is finding the right solution enough for a good design? Defining the problem or applying a solution-focused process may not be enough to create the differences that must be present in today's variable conditions. This can be overcome through seeking meaning instead of seeking a solution. The purpose of this article is to develop an approach that focuses on seeking meaning for products by starting with a design-thinking approach to the conceptual design process in engineering design. Focusing on a search for meaning in engineering design will provide advantages, such as creating unique values and sustainable competition.

scholarly journals Designing a Design Thinking Model in Interior Design Teaching and Learning

2020 ◽  
Vol 7 (2) ◽  
pp. 53-64
Author(s):  
Suastiwi Triatmaja
Keyword(s):  
Interior Design ◽  
Process Model ◽  
Design Thinking ◽  
Design Science ◽  
Design Method ◽  
Process Models ◽  
Design Processes ◽  
Design Task ◽  
Design Students ◽  
Interior Design Students

In the last three decades, research on design processes and methods has been the driving force behind the design science development; however, research on design process knowledge has not developed much in Indonesia. This research aims to answer the problems faced by interior design students when they have to complete a design task by applying specific design processes and methods. The choice of technique and method is influenced by the situation & conditions in which the design is carried out. The research was carried out using the “double diamonds” process and method with a problem-solving approach. The research analysis was carried out by examining students’ design documents in the interior design course, conducting interviews with students and lecturers, and literature studies. Furthermore, an alternative process model and design method are more prepared to follow the needs and answer the Interior Design Study Program’s problems when completing a design task. Research has succeeded in finding process models and design methods called a DT-DI model compatible with interior design students.  

Re-imagining rotorcraft advanced design

2018 ◽  
Vol 122 (1256) ◽  
pp. 1497-1521
Author(s):  
J. D. Sinsay
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Systems Engineering ◽  
Development Process ◽  
Design Thinking ◽  
Lessons Learned ◽  
Empirical Methods ◽  
Analysis Software ◽  
Semi Empirical ◽  
Model Based Systems Engineering

ABSTRACTAdvanced design offices have traditionally applied conceptual design techniques based on semi-empirical methods in an attempt to develop an accurate prediction of aircraft designs at the end of the development process. Continuing advances in computer capability and rotorcraft analysis software present an opportunity to re-think conceptual design to include the greater use of physics-based analyses. A roadmap for developing this capability is outlined, taking into account techniques and ideas from Model-Based Systems Engineering, Design Thinking and Multidisciplinary Optimisation. Recent activities that demonstrate some of these desired capabilities are briefly described along with lessons learned.

MODELING AN ABBREVIATED PRODUCT DESIGN CYCLE IN A FIRST-YEAR ENGINEERING DESIGN COURSE

2012 ◽  
Author(s):  
Patricia Kristine Sheridan ◽  
Jason A Foster ◽  
Geoffrey S Frost
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Conceptual Design ◽  
Design Project ◽  
University Of Toronto ◽  
Praxis Ii ◽  
Engineering Communication ◽  
Detail Design ◽  
Praxis I ◽  
Design Experience

All Engineering Science students at the University of Toronto take the cornerstone Praxis Sequence of engineering design courses. In the first course in the sequence, Praxis I, students practice three types of engineering design across three distinct design projects. Previously the final design project had the students first frame and then develop conceptual design solutions for a self-identified challenge. While this project succeeded in providing an appropriate foundational design experience, it failed to fully prepare students for the more complex design experience in Praxis II. The project also failed to ingrain the need for clear and concise engineering communication, and the students’ lack of understanding of detail design inhibited their ability to make practical and realistic design decisions. A revised Product Design project in Praxis I was designed with the primary aims of: (a) pushing students beyond the conceptual design phase of the design process, and (b) simulating a real-world work environment by: (i) increasing the interdependence between student teams and (ii) increasing the students’ perceived value of engineering communication.

scholarly journals Explicating concepts in reasoning from function to form by two-step innovative abductions

2016 ◽  
Vol 30 (2) ◽  
pp. 125-137 ◽  
Author(s):  
Ehud Kroll ◽  
Lauri Koskela
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Abductive Reasoning ◽  
Parameter Analysis ◽  
Critical Examination ◽  
Functional Aspect ◽  
Specific Design ◽  
Design Processes ◽  
Step Process ◽  
Design Reasoning

AbstractThe mechanism of design reasoning from function to form is suggested to consist of a two-step inference of the innovative abduction type. First is an inference from a desired functional aspect to an idea, concept, or solution principle to satisfy the function. This is followed by a second innovative abduction, from the latest concept to form, structure, or mechanism. The intermediate entity in the logical reasoning, the concept, is thus made explicit, which is significant in following and understanding a specific design process, for educating designers, and to build a logic-based computational model of design. The idea of a two-step abductive reasoning process is developed from the critical examination of several propositions made by others. We use the notion of innovative abduction in design, as opposed to such abduction where the question is about selecting among known alternatives, and we adopt a previously proposed two-step process of abductive reasoning. However, our model is different in that the two abductions used follow the syllogistic pattern of innovative abduction. In addition to using a schematic example from the literature to demonstrate our derivation, we apply the model to an existing, empirically derived method of conceptual design called “parameter analysis” and use two examples of real design processes. The two synthetic steps of the method are shown to follow the proposed double innovative abduction scheme, and the design processes are presented as sequences of double abductions from function to concept and from concept to form, with a subsequent deductive evaluation step.

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.

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.

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