An Engineering-to-Biology Thesaurus for Engineering Design

2010 ◽  
Author(s):  
Jacquelyn K. S. Nagel ◽  
Robert B. Stone ◽  
Daniel A. McAdams
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Idea Generation ◽  
Natural World ◽  
Biological Information ◽  
Concept Generation ◽  
Functional Modeling ◽  
University Of Toronto ◽  
Engineering Designs ◽  
Design Activities

Engineering design is considered a creative field that involves many activities with the end goal of a new product that fulfills a purpose. Utilization of systematic methods or tools that aid in the design process is recognized as standard practice in industry and academia. The tools are used for a number of design activities (i.e., idea generation, concept generation, inspiration searches, functional modeling) and can span across engineering disciplines, the sciences (i.e., biology, chemistry) or a non-engineering domain (i.e., medicine), with an overall focus of encouraging creative engineering designs. Engineers, however, have struggled with utilizing the vast amount of biological information available from the natural world around them. Often it is because there is a knowledge gap or terminology is difficult, and the time needed to learn and understand the biology is not feasible. This paper presents an engineering-to-biology thesaurus, which we propose affords engineers, with limited biological background, a tool for leveraging nature’s ingenuity during many steps of the design process. Additionally, the tool could also increase the probability of designing biologically-inspired engineering solutions. Biological terms in the thesaurus are correlated to the engineering domain through pairing with a synonymous function or flow term of the Functional Basis lexicon, which supports functional modeling and abstract representation of any functioning system. The second version of the thesaurus presented in this paper represents an integration of three independent research efforts, which include research from Oregon State University, the University of Toronto, and the Indian Institute of Science, and their industrial partners. The overall approach for term integration and the final results are presented. Applications to the areas of design inspiration, comprehension of biological information, functional modeling, creative design and concept generation are discussed. An example of comprehension and functional modeling are presented.

Function-based, biologically inspired concept generation

2010 ◽  
Vol 24 (4) ◽  
pp. 521-535 ◽  
Author(s):  
Jacquelyn K.S. Nagel ◽  
Robert L. Nagel ◽  
Robert B. Stone ◽  
Daniel A. McAdams
Keyword(s):  
Engineering Design ◽  
Biological Systems ◽  
Natural World ◽  
Biological Information ◽  
Biological Knowledge ◽  
Concept Generation ◽  
Biologically Inspired ◽  
Modeling Methodology ◽  
Functional Representation ◽  
Engineering Designs

AbstractThe natural world provides numerous cases for inspiration in engineering design. Biological organisms, phenomena, and strategies, which we refer to as biological systems, provide a rich set of analogies. These systems provide insight into sustainable and adaptable design and offer engineers billions of years of valuable experience, which can be used to inspire engineering innovation. This research presents a general method for functionally representing biological systems through systematic design techniques, leading to the conceptualization of biologically inspired engineering designs. Functional representation and abstraction techniques are used to translate biological systems into an engineering context. The goal is to make the biological information accessible to engineering designers who possess varying levels of biological knowledge but have a common understanding of engineering design. Creative or novel engineering designs may then be discovered through connections made between biology and engineering. To assist with making connections between the two domains concept generation techniques that use biological information, engineering knowledge, and automatic concept generation software are employed. Two concept generation approaches are presented that use a biological model to discover corresponding engineering components that mimic the biological system and use a repository of engineering and biological information to discover which biological components inspire functional solutions to fulfill engineering requirements. Discussion includes general guidelines for modeling biological systems at varying levels of fidelity, advantages, limitations, and applications of this research. The modeling methodology and the first approach for concept generation are illustrated by a continuous example of lichen.

Can Design Teams Be Empathically Creative? A Simulation-Based Investigation on the Role of Team Empathy on Concept Generation and Selection

2020 ◽  
Author(s):  
Mohammad Alsager Alzayed ◽  
Scarlett R. Miller ◽  
Jessica Menold ◽  
Jacquelyn Huff ◽  
Christopher McComb
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Computational Simulation ◽  
Idea Generation ◽  
First Year ◽  
Concept Generation ◽  
Team Members ◽  
Design Activities ◽  
The Impact

Abstract Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has been invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes in the concept generation and selection stages of the design process. Therefore, the goal of the current study was to investigate the impact of team trait empathy on concept generation and selection in an engineering design student project. This was accomplished through a computational simulation of 13,482 teams of noninteracting brainstorming individuals generated by a statistical bootstrapping technique drawing upon a design repository of 806 ideas generated by first-year engineering students. The main findings from the study indicate that the elevation in team empathy positively impacted simulated teams’ unique idea generation and selection while the diversity in team empathy positively impacted teams’ generation of useful ideas. The results from this study can be used to guide team formation in engineering design.

scholarly journals The cognitive experience of engineering design: an examination of first-year student stress across principal activities of the engineering design process

2021 ◽  
Vol 7 ◽  
Author(s):  
Hannah Nolte ◽  
Christopher McComb
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Physical Modelling ◽  
Design Activity ◽  
Concept Generation ◽  
Concept Selection ◽  
Student Stress ◽  
Engineering Design Process ◽  
Design Activities ◽  
Cognitive Experience

Abstract The engineering design process can produce stress that endures even after it has been completed. This may be particularly true for students who engage with the process as novices. However, it is not known how individual components of the design process induce stress in designers. This study explored the cognitive experience of introductory engineering design students during concept generation, concept selection and physical modelling to identify stress signatures for these three design activities. Data were collected for the design activities using pre- and post-task surveys. Each design activity produced distinct markers of cognitive experience and a unique stress signature that was stable across design activity themes. Rankings of perceived sources of stress also differed for each design activity. Students, however, did not perceive any physiological changes due to the stress of design for any of the design activities. Findings indicate that physical modelling was the most stressful for students, followed by concept generation and then concept selection. Additionally, recommendations for instructors of introductory engineering design courses were provided to help them apply the results of this study. Better understanding of the cognitive experience of students during design can support instructors as they learn to better teach design.

How Engineering Design Students’ Creative Preferences and Cognitive Styles Impact Their Concept Generation and Screening

2018 ◽  
Author(s):  
Katie Heininger ◽  
Hong-En Chen ◽  
Kathryn Jablokow ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Idea Generation ◽  
Risk Tolerance ◽  
Concept Generation ◽  
Undergraduate Engineering ◽  
Engineering Design Process ◽  
Individual Traits ◽  
The Impact

The flow of creative ideas throughout the engineering design process is essential for innovation. However, few studies have examined how individual traits affect problem-solving behaviors in an engineering design setting. Understanding these behaviors will enable us to guide individuals during the idea generation and concept screening phases of the engineering design process and help support the flow of creative ideas through this process. As a first step towards understanding these behaviors, we conducted an exploratory study with 19 undergraduate engineering students to examine the impact of individual traits, using the Preferences for Creativity Scale (PCS) and Kirton’s Adaption-Innovation inventory (KAI), on the creativity of the ideas generated and selected for an engineering design task. The ideas were rated for their creativity, quality, and originality using Amabile’s consensual assessment technique. Our results show that the PCS was able to predict students’ propensity for creative concept screening, accounting for 74% of the variation in the model. Specifically, team centrality and influence and risk tolerance significantly contributed to the model. However, PCS was unable to predict idea generation abilities. On the other hand, cognitive style, as measured by KAI, predicted the generation of creative and original ideas, as well as one’s propensity for quality concept screening, although the effect sizes were small. Our results provide insights into individual factors impacting undergraduate engineering students’ idea generation and selection.

Effects of Industrial Experience and Coursework During Sophomore and Junior Years on Student Learning of Engineering Design

2006 ◽  
Vol 129 (7) ◽  
pp. 662-667 ◽  
Author(s):  
Reid Bailey
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Idea Generation ◽  
First Year ◽  
Process Knowledge ◽  
First Year Students ◽  
Industrial Experience ◽  
Design Concepts ◽  
Design Activities ◽  
Allot Time

While prior work indicates that seniors near the end of their capstone design course know more about design than first-year students, it is unclear where this knowledge is gained. We study two possible sources of seniors’ greater design knowledge: coursework during sophomore and junior years and industrial experience. The design process knowledge of seniors at the beginning of their capstone class was assessed and information about their industrial experience obtained. These data were compared to assessment data of first-year students at the end of an introduction to engineering design course. The results indicate that industrial experience greatly increases students’ recognition that documentation needs to occur throughout the design process. Seniors with industrial experience, however, are less aware that idea generation is an important part of design and are less able to allot time to different design activities than first-year students at the end of a hands-on introduction to engineering design course. For the remaining four aspects of design process knowledge assessed—namely, identifying the requirements for a project at the project’s outset, making decisions with a systematic process based on analysis, building and testing prototypes and final designs, and the overall layout of design including iteration—no differences are found between seniors with industrial experience and first-year students at the end of an introduction to engineering design course. One explanation for why industrial experience does not impact student’s design process knowledge positively in more areas than documentation is that students on internships only experience a small portion of a design process. Due to this “snapshot” experience, either (1) students are not able to learn a significant amount about the bigger picture design concepts or (2) students each learn about different aspects of design but, as a population, do not show any significant increase in design process knowledge. The one activity that all interns will experience is the necessity to document their work. Furthermore, seniors without industrial experience scored no differently than first-year students on any single aspect of design process knowledge measured. This indicates that analysis-heavy sophomore and junior classes do not impact design process knowledge.

Fostering Diverse Analogical Transfer in Bio-Inspired Design

2015 ◽  
Author(s):  
Jacquelyn K. S. Nagel ◽  
Linda Schmidt ◽  
Werner Born
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Biological System ◽  
Engineering Students ◽  
Natural World ◽  
Physical Characteristics ◽  
Biological Information ◽  
Concept Generation ◽  
Analogical Transfer ◽  
Design Inspiration

Nature is a powerful resource for engineering designers. The natural world provides numerous cases for analogy and inspiration in engineering design. Transferring the valuable knowledge and inspiration gained from the biology domain to the engineering domain during concept generation is a somewhat disorganized process and relies heavily on the designers’ insight and background knowledge of many fields to make the necessary leaps between the domains. Furthermore, the novice designer approaching biology for inspiration tends to focus heavily on copying the visual attributes of a biological system to develop a solution that looks like the biological system rather than explore at deeper levels to uncover relationships that lead to the development of true analogies. There are now well-known methods for teaching bioinspired design in engineering and the majority of methods prescribe the use of analogies in order to facilitate knowledge transfer, however, guidance in analogy formulation to foster the creative leaps is missing or ill defined. Thus little is known about how students use biological systems for design inspiration. This paper proposes categories for analogical knowledge transfer in bio-inspired design to foster and characterize diverse analogical knowledge transfer. The proposed analogy categories are used to describe the behavior seen in an engineering class. Results indicate that (1) single biological system provides multiple analogies that result in different engineering inspiration for design; (2) biological information from multiple categories is transferred during concept generation; and (3) non-physical characteristics may inspire more sophisticated engineering inspiration than those based on physical characteristics alone. Overall, the analogy data classification has resulted in a better understanding of analogical knowledge transfer during bio-inspired design and leads to best practices for teaching bio-inspired design to engineering students.

scholarly journals Effects of Multidisciplinary Participatory Design Method on Students’ Engineering Design Process

Eng ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 112-121
Author(s):  
Yu-Hung Chien ◽  
Chun-Kai Yao ◽  
Yu-Han Chao
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Participatory Design ◽  
Sequential Analysis ◽  
Design Method ◽  
Control Group ◽  
Teaching Model ◽  
Engineering Design Process ◽  
Design Activities ◽  
Experimental Group

This study took the ergonomics design course as an example to propose a design teaching model of multidisciplinary participatory design (MPD), and investigated the effects of this teaching model on the engineering design behavior of college students. We used lag behavior sequential analysis to compare the design behaviors of three student groups: a participatory design (PD) experimental group, an MPD experimental group, and a control group. The results of the study show that (1) students in the PD experimental group had 13 significant sequential engineering design behaviors, students in the MPD experimental group had 10, and students in the control group had only seven. The engineering design behaviors of the experimental groups were more diversified than those of the control group. (2) The three groups of students had a small number of significant design behavior transfers in the engineering design process, indicating that the students’ sequential design behaviors between two different design activities were insufficient. We concluded by detailing the pros and cons of using the MPD teaching model based on the results of this study, and hopefully by providing a reference for teaching engineering design.

scholarly journals A Systematic Review on Sketching Engineering Design in STEM Classroom

2020 ◽  
Author(s):  
Anggi Cecilia Safaningrum
Keyword(s):  
Systematic Review ◽  
Engineering Design ◽  
Social Economic ◽  
Idea Generation ◽  
Process Approach ◽  
Design Tool ◽  
Student Sample ◽  
Engineering Design Process ◽  
Economic Background ◽  
Design Activities

Numerous studies in the last two decades have attempted to explain the significant relationship between effects of freehand sketching especially in the initial phase of idea generation in engineering design process approach. However, freehand sketches are not favoured by novice designer while generating design task. This paper aim to map how sketching skills benefit STEM-enriched learning environment and enabling visually communicated ideas to craft novelty solutions. This systematic review analysed nine papers that use sketch as design tool in STEM enriched engineering design activities. The literature is retrieved from established online database such as SCOPUS and EBSCOHOST. Sketch significantly proves as powerful tool in prompting visual ideas, reflect prior knowledge, aid communication and collaborative practise and engage active learning. The infancy of research using matured student sample, different ethnic and social economic background will create interesting research opportunities in multiracial nation.

scholarly journals Function Modeling in Engineering Design: Approaches and Methods

2020 ◽  
Vol 2 (7) ◽  
pp. 222-239
Author(s):  
Osamah Malik Mohammed ◽  
Ahmed Z.M. Shammari
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Comparative Studies ◽  
Functional Modeling ◽  
Early Stages ◽  
Design Theories ◽  
Abstract Language

Function modeling in engineering design, as one of the most common abstract language during design process and especially early stages, is introduced in a common frame for investigating possible development areas. Comparative studies are conducted for analyzing commonalities of various approaches and methods as well as its variances. The interaction of functional modeling with design theories and methodologies are reviewed in detail. The aims of those reviews are highlighting features of various methods of FM and its noticed limitations and discussing applicability of those methods and approaches in various fields of design. Finally, a proposed future works is presented for filling identified gaps within generality and applicability of FM within various design fields.

scholarly journals Introduction to quantitative engineering design methods via controls engineering

2017 ◽  
Vol 31 (4) ◽  
pp. 458-475 ◽  
Author(s):  
Briana M. Lucero ◽  
Matthew J. Adams ◽  
Cameron J. Turner
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Performance Metrics ◽  
Mathematical Function ◽  
Functional Modeling ◽  
Bond Graphs ◽  
Functional Basis ◽  
Controls Engineering ◽  
Controls Systems ◽  
Function Structures

AbstractFunctional modeling is an effective method of depicting products in the design process. Using this approach, product architecture, concept generation, and physical modeling all contribute to the design process to generate a result full of quality and functionality. The functional basis approach provides taxonomy of uniform vocabulary to produce function structures with consistent functions (verbs) and flows (nouns). Material and energy flows dominate function structures in the mechanical engineering domain with only a small percentage including signal flows. Research suggests that the signal flow gap is due to the requirement of “carrier” flows of either material or energy to transport the signals between functions. This research suggests that incorporating controls engineering methodologies may increase the number of signal flows in function structures. We show correlations between the functional modeling and controls engineering in four facets: schematic similarities, performance matching through flows, mathematical function creation using bond graphs, and isomorphic matching of the aforementioned characteristics allows for analogical solutions. Controls systems use block diagrams to represent the sequential steps of the system. These block diagrams parallel the function structures of engineering design. Performance metrics between the two domains can be complimentary when decomposed down to nondimensional engineering units. Mathematical functions of the actions in controls systems can resemble the functional basis functions with bond graphs by identifying characteristic behavior of the functions on the flows. Isomorphic matching, using the schematic diagrams, produces analogies based upon similar functionality and target performance metrics. These four similarities bridge the mechanical and electrical domains via the controls domain. We provide concepts and contextualization for the methodology using domain-agnostic examples. We conclude with suggestion of pathways forward for this preliminary research.

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