Concept Opportunity Diagrams: A Visual Modeling Method to Find Multifunctional Design Concepts

Author(s):  
Rachel Kuhr ◽  
Kristin Wood ◽  
Dan Jensen ◽  
Richard Crawford

A transforming product is a system that has different functionality when physically changed or reconfigured into a different state. This increased functionality allows diverse customer needs to be met in a single product. Transforming devices have become more prevalent in recent years, as customers desire both increased capabilities and reduced complexity to reduce waste in our society. When designing a multifunctional product that transforms from one state to another, it can be difficult to conceptualize a design that does not reduce effectiveness or provide a compromise in either state. Transformational Design Theory has been developed and shows basic principles and facilitators that enable transformation to occur within a product space. An illustrative example is a chair designed to flip over to be used as a table. Flip is one of the 19 facilitators that are found in transformation design. This is also an example of expose/cover, a transformation design principle. Certain principles and facilitators are more prevalent than others in different design domains (such as tools, storage, organisms etc.). If we know the states that exist within the transformer, concept opportunity diagrams can be used to determine the opportunities for transformation within each state. When the diagrams are paired with a constituent relationship chart specific to each domain, new design concepts may be facilitated. This technique creates a cognitive process for designers where they process a series of questions when creating the concept opportunity diagram. The diagram will help them understand the unanticipated additional design space of each state. The Constituent Relationship Chart is a tool that allows them to apply their knowledge of these states to the facilitator hierarchy so that prospective facilitators can directly contribute to originally unforeseen design concepts. This paper presents this twofold process known as the Transformer Diagram Matching Method and shows the results on a fully functioning prototype of an office supply transformer. Although the proposed process is detailed, it allows the designer to find a large number of quality concepts they would not have foreseen otherwise. Our original concept generation processes produced thirty eight ideas, but this process added another thirty two ideas to the design space. The paper indicates specifically how this method can be integrated in with the standard transformational design process as well as suggests strategies for implementation within other design techniques.

Author(s):  
Matt R. Bohm ◽  
Jayson P. Vucovich ◽  
Robert B. Stone

This paper describes how a design repository can be used as a concept generation tool by drawing upon archived function-based design knowledge. Modern design methodologies include several types of activities to formally generate design concepts. Typical concept generation methods range from open-ended creative brainstorming activities to quantitative function-component analysis. A combination of two such methods—the Chi Matrix and Morphological Matrix techniques—is the basis for this work. Building on existing functionality of the design repository, desired product functions can be specified in a search of stored design knowledge, returning a Morphological Matrix of artifacts solving the specified functions. Such a search is termed a Morphological Search. The repository Morphological Search feature is evaluated against concepts generated in a previous original design project. Results of the Morphological Search return are then compared to ten of the original concept variants generated during the design project. This comparison shows that 76% of the specified subfunctions return results and that, on average, 61.35% of the components used in the hand-generated concepts can be derived by using the Morphological Search feature.


Author(s):  
Matt R. Bohm ◽  
Jayson P. Vucovich ◽  
Robert B. Stone

This paper describes how a design repository can be used as a concept generation tool by drawing upon archived function-based design knowledge. Modern design methodologies include several types of activities to formally generate design concepts. Typical concept generation methods range from open-ended creative brainstorming activities to quantitative function-component analysis. A combination of two such methods—the chi-matrix and morphological matrix techniques—is the basis for this work. Building on existing functionality of the design repository, desired product functions can be specified in a search of stored design knowledge, returning a morphological matrix of artifacts solving the specified functions. Such a search is termed a morphological search. The repository morphological search feature is evaluated against concepts generated in a previous original design project. Results of the morphological search return are then compared to ten of the original concept variants generated during the design project. This comparison shows that 89% of the specified subfunctions return results and that, on average, 77% of the components used in the hand-generated concepts can be derived by using the morphological search feature.


Author(s):  
Martin Noack ◽  
Arnold Kühhorn ◽  
Markus Kober ◽  
Matthias Firl

AbstractThis paper presents a new FE-based stress-related topology optimization approach for finding bending governed flexible designs. Thereby, the knowledge about an output displacement or force as well as the detailed mounting position is not necessary for the application. The newly developed objective function makes use of the varying stress distribution in the cross section of flexible structures. Hence, each element of the design space must be evaluated with respect to its stress state. Therefore, the method prefers elements experiencing a bending or shear load over elements which are mainly subjected to membrane stresses. In order to determine the stress state of the elements, we use the principal stresses at the Gauss points. For demonstrating the feasibility of the new topology optimization approach, three academic examples are presented and discussed. As a result, the developed sensitivity-based algorithm is able to find usable flexible design concepts with a nearly discrete 0 − 1 density distribution for these examples.


2021 ◽  
pp. 1-42
Author(s):  
Aoran Peng ◽  
Jessica Menold ◽  
Scarlett Miller

Abstract There has been a plethora of design theory and methodology research conducted to answer important questions centered around how ideas are developed and translated into successful products. Understanding this is vital because of the role creativity and innovation have in long-term economic success. However, most of this research have focused on U.S. samples, leaving to question if differences exist across cultural borders. Answering this question is key to supporting a successful global economy. The current work provides a first step at answering this question by examining similarities and differences in concept generation and screening practices between students in an emerging market, Morocco, and those in a more established market, the U.S during a design thinking workshop. Our results show that while students in the U.S. sample produced more ideas than the Moroccan sample, there was no difference in the perceived quality of ideas generated (idea goodness). In addition, while U.S. women were found to produce more ideas than U.S. men, there were no gender effects for students in the Moroccan sample. Finally, the results show that ideas with low goodness had a higher probability of passing concept screening if it was evaluated by its owner regardless of the population studied – identifying the potential impact of ownership bias across cultures. As a whole, these results suggest that key aspects of design theory and methodology research may in fact translate across cultures but also identified key areas for further investigation.


Author(s):  
Anant Chawla ◽  
Joshua D. Summers

Morphological charts are widely recognized tools in engineering design applications and research. However, a literature gap exists in instructing the representation and exploration of morphological charts. In this paper, an experiment is conducted to understand how morphological charts are explored and what impact functional arrangement has on it. The experiment consisted of two problem statements, each with five different functional arrangements: 1) Most to Least Important Function, 2) Least to Most Important Function, 3) Input to Output Function, 4) Output to Input Function, and 5) Random. Sixty-seven junior mechanical engineering students were provided a prepopulated morphological chart and asked to generate integrated design concepts. The generated concepts were analyzed to determine how frequently a given means is selected, how much of the chart is explored, what is the sequence of exploration, and finally the influence of function ordering on them. Experimental results indicate a tendency to focus more on the initial columns of the chart irrespective of functional order. Moreover, the Most-to-Least-Important functional order results in higher chances and uniformity of design space exploration.


2015 ◽  
Vol 1 ◽  
Author(s):  
Seda Yilmaz ◽  
Shanna R. Daly ◽  
Colleen M. Seifert ◽  
Richard Gonzalez

Research supports the central role cognitive strategies can play in successful concept generation by individual designers. Design heuristics have been shown to facilitate the creation of new design concepts in the early, conceptual stage of the design process, as well as throughout the development of ideas. However, we know relatively little about their use in differing disciplines. This study examined evidence of design heuristic use in a protocol study with 12 mechanical engineers and 12 industrial designers who worked individually to develop multiple concepts. The open-ended design problem was for a novel product, and the designers’ sketches and comments were recorded as they worked on the problem for 25 min and in a retrospective interview. The results showed frequent use of design heuristics in both disciplines and a significant relationship to the rated creativity of the concepts. Though industrial designers used more heuristics in their concepts, there was a high degree of similarity in heuristic use. Some differences between design disciplines were observed in the choice of design heuristics, where industrial designers showed a greater emphasis on user experience, environmental contexts, and added features. These findings demonstrate the prevalence of design heuristics in individual concept generation and their effectiveness in generating creative concepts, across two design domains.


2017 ◽  
Vol 4 (2) ◽  
pp. 1-18
Author(s):  
W. B. Lee ◽  
W. M. Wang ◽  
C. F. Cheung ◽  
Z. H. Wu

Industrial and product design involves a lot of unstructured information for the generation of innovative product design ideas. However, the generation of innovative design concepts is not only time consuming but also heavily relies on the experience of product designers. Most existing systems focus mainly on the technical aspects of realizing product designs, which are inadequate to support concept generation process at the pre-design stage. In this paper, a knowledge extraction and design support system (KEDSS) is presented. The system aims at extracting key design concepts and depicting the trends of these concepts from the massive amount of unstructured design information in the open domain. A summary report, a related concept list, and concept trend graphs are produced based on the inputs of the designers' design ideas. A series of experiments have been conducted to measure the performance of the system. Moreover, the system has been successfully trial implemented as part of a public service platform for modern industrial design of injection molding machinery and equipment.


2019 ◽  
Vol 141 (9) ◽  
Author(s):  
Anant Chawla ◽  
Joshua D. Summers

Although morphological charts are widely taught used tools in engineering design, little formal guidance is provided regarding their representation and exploration. Thus, an experiment was conducted to elucidate the influence of functional ordering on the exploration of morphological charts. Two design prompts were used, each with five different functional arrangements: (1) most-to-least important function, (2) least-to-most important function, (3) input-to-output function, (4) output-to-input function, and (5) Random. Sixty-seven junior mechanical engineering students were asked to generate integrated design concepts from prepopulated morphological charts for each design prompt. The concepts were analyzed to determine the frequency with which a given means was selected, how much of the chart was explored, the sequence of exploration, and the influence of function ordering. Results indicated a tendency to focus upon the initial columns of the chart irrespective of functional order. The most-to-least-important functional order resulted in higher chances and a uniformity of design space exploration.


Author(s):  
Jessica Menold ◽  
Kathryn Jablokow ◽  
Timothy Simpson ◽  
Rafael Seuro

Approximately half of new product development projects fail in the market place. Within the product development process, prototyping represents the largest sunk cost; it also remains the least researched and understood. While researchers have recently started to evaluate the impact of formalized prototyping methods and frameworks on end designs, these studies have typically evaluated the success or failure of these methods using binary metrics, and they often evaluate only the design’s technical feasibility. Intuitively, we know that a product’s success or failure in the marketplace is determined by far more than just the product’s technical quality; and yet, we have no clear way of evaluating the design changes and pivots that occur during concept development and prototyping activities, as an explicit set of rigorous and informative metrics to evaluate ideas after concept selection does not exist. The purpose of the current study was to investigate the discriminatory value and reliability of ideation metrics originally developed for concept generation as metrics to evaluate functional prototypes and related concepts developed throughout prototyping activities. Our investigation revealed that new metrics are needed in order to understand the translation of product characteristics, such as originality, novelty, and quality, from original concept through concept development and prototyping to finalized product.


Author(s):  
Duc Truong Pham ◽  
Huimin Liu

This paper presents a new approach to producing innovative design concepts. The proposed approach involves extending the inventive principles of TRIZ by integrating other TRIZ and TRIZ-inspired tools. The set of inventive principles is then structured according to a framework adapted from I-Ching and represented using TRIZ’s Behaviour-Entity (BE) formalism to which constraints have also been added. The adoption of the BE representation enables a reduction in the amount of repeated information in the inventive principles. A BE pair contains information on a design solution. A Behaviour-Entity-Constraint (BEC) triple additionally has information on constraints on the solution. The BEC representation thus facilitates the retrieval and generation of design solutions from design specifications. The paper uses the problem of laying out seats in an aircraft cabin to illustrate advantages of the proposed approach.


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