A computational approach to biologically inspired design

Author(s):  
Jacquelyn K.S. Nagel ◽  
Robert B. Stone

AbstractThe natural world provides numerous cases for analogy and inspiration in engineering design. During the early stages of design, particularly during concept generation when several variants are created, biological systems can be used to inspire innovative solutions to a design problem. However, identifying and presenting the valuable knowledge from the biological domain to an engineering designer during concept generation is currently a somewhat disorganized process or requires extensive knowledge of the biological system. To circumvent the knowledge requirement problem, we developed a computational approach for discovering biological inspiration during the early stages of design that integrates with established function-based design methods. This research defines and formalizes the information identification and knowledge transfer processes that enable systematic development of biologically inspired designs. The framework that supports our computational design approach is provided along with an example of a smart flooring device to demonstrate the approach. Biologically inspired conceptual designs are presented and validated through a literature search and comparison to existing products.

Author(s):  
Jacquelyn K.S. Nagel ◽  
Robert L. Nagel ◽  
Robert B. Stone ◽  
Daniel A. McAdams

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.


Author(s):  
Elizabeth J. Gendreau ◽  
Andrew W. Shumaker ◽  
Eric M. Joiner ◽  
Alix C. Griffin ◽  
Chase A. Pritchett ◽  
...  

This paper presents a demonstration of how biological solutions to mobility in the desert can be used to drive new concepts for sand-traction tires. Biological inspiration is used to translate both camel hooves (shape) and Fennec Fox paw texture (material) into design concepts for tire traction that are prototyped and tested. The steps used in this are captured in a case study of bio-inspired design, with the resulting concepts compared in terms of their performance. It was found that the camel hoof inspired “concave” shaped tire improved traction that the Fennec Fox paw textured “miner’s moss” surface on tires improved traction, and that the integrated solution of the two also improved traction. The greatest improvement was seen with the Fennec Fox textured concepts. Recommendations are made for improvements to steps of bio-inspiration for ideation and future traction concepts.


2021 ◽  
Vol 7 ◽  
Author(s):  
Ashok K. Goel ◽  
William Hancock

Abstract Much of the literature on biologically inspired design makes two, often unstated and largely unexamined, assumptions: (i) The process of biologically inspired design is independent of the biological domain, and (ii) the design process leads to multifunctional designs. In this paper, we perform a meta-analysis of 74 case studies of biologically inspired design in the Design Study Library. We begin by noting that biologically inspired design has two core processes: problem-driven design and solution-based design. We find that the first assumption about the domain independence of these design processes is questionable. Our analysis indicates that the problem-driven process of biologically inspired design is more prevalent in some domains, whereas the solution-based design process is more common in other domains. Our analysis also indicates that the solution-based process leads to multifunctional designs more often than the problem-driven process. These findings may have useful implications not only for building information-processing theories of biologically inspired design, but also for developing pedagogical techniques for teaching about the paradigm and computational tools for supporting its practice.


Author(s):  
Jacquelyn K. S. Nagel ◽  
Robert L. Nagel ◽  
Marjan Eggermont

This paper presents research on the use of an engineering-to-biology thesaurus in an engineering classroom as an aid to teaching biomimicry. The leap from engineering to biological science has posed a challenge. Engineers often struggle with how to best use the vast amount of biological information available from the natural world around them. Often there is a knowledge gap, and terminology takes different meanings. Generally, the time required to learn and become fluent in biology poses too large a hurdle. The engineering-to-biology thesaurus was designed to allow engineers without advanced biological knowledge to leverage nature’s ingenuity during engineering design. The three key goals of this thesaurus are to (1) lessen the burden when working with knowledge from the biological domain by providing a link between engineering and biological terminology; (2) assist designers with establishing connections between the two domains; and (3) to facilitate biologically-inspired design. In this paper, the results of a pilot study as well as a second study are presented. The pilot study was used to craft instructional materials involving the engineering-to-biology thesaurus. In the second study, sophomore engineering students enrolled in a design course were given a design task to complete using the thesaurus. The task focused on biomimetic concept development for their course project — designing a human-powered vehicle for a person with cerebral palsy. Results of the design task are presented.


Author(s):  
Ryan Arlitt ◽  
Bryan M. O’Halloran ◽  
Jennifer Novak ◽  
Robert B. Stone ◽  
Irem Y. Tumer

This research provides a comparison of a set of Bio-Inspired Design (BID) tools to determine advantages and disadvantages of each, with particular focus on database-directed design processes. The result of this comparison is a set of beneficial attributes, discussed to develop requirements for formulating an effective BID tool. In this study, each tool is evaluated in terms of both the effectiveness of the concept generation process, and designer feedback concerning the effective elements. The comparison between tools uses concept sketches and feedback generated from a classroom of graduate and undergraduate engineering students. Over the course of a ten-week class, each BID technique was formally presented to the students. Following this presentation, students were given a new design problem and instructed to use the new BID technique to generate a set of solution concepts. Quantity of concepts generated was used to assess the goodness of each concept generation activity outcome, which forms one basis for comparing the different tools. In addition, questionnaires were used to assess and identify the various positive and negative elements of each BID tool.


2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Alexander Agboola-Dobson ◽  
Guowu Wei ◽  
Lei Ren

Recent advancements in powered lower limb prostheses have appeased several difficulties faced by lower limb amputees by using a series-elastic actuator (SEA) to provide powered sagittal plane flexion. Unfortunately, these devices are currently unable to provide both powered sagittal plane flexion and two degrees of freedom (2-DOF) at the ankle, removing the ankle’s capacity to invert/evert, thus severely limiting terrain adaption capabilities and user comfort. The developed 2-DOF ankle system in this paper allows both powered flexion in the sagittal plane and passive rotation in the frontal plane; an SEA emulates the biomechanics of the gastrocnemius and Achilles tendon for flexion while a novel universal-joint system provides the 2-DOF. Several studies were undertaken to thoroughly characterize the capabilities of the device. Under both level- and sloped-ground conditions, ankle torque and kinematic data were obtained by using force-plates and a motion capture system. The device was found to be fully capable of providing powered sagittal plane motion and torque very close to that of a biological ankle while simultaneously being able to adapt to sloped terrain by undergoing frontal plane motion, thus providing 2-DOF at the ankle. These findings demonstrate that the device presented in this paper poses radical improvements to powered prosthetic ankle-foot device (PAFD) design.


Author(s):  
Camila Freitas Salgueiredo ◽  
Armand Hatchuel

AbstractIs biologically inspired design only an analogical transfer from biology to engineering? Actually, nature does not always bring “hands-on” solutions that can be analogically applied in classic engineering. Then, what are the different operations that are involved in the bioinspiration process and what are the conditions allowing this process to produce a bioinspired design? In this paper, we model the whole design process in which bioinspiration is only one element. To build this model, we use a general design theory, concept–knowledge theory, because it allows one to capture analogy as well as all other knowledge changes that lead to the design of a bioinspired solution. We ground this model on well-described examples of biologically inspired designs available in the scientific literature. These examples include Flectofin®, a hingeless flapping mechanism conceived for façade shading, and WhalePower technology, the introduction of bumps on the leading edge of airfoils to improve aerodynamic properties. Our modeling disentangles the analogical aspects of the biologically inspired design process, and highlights the expansions occurring in both knowledge bases, scientific (nonbiological) and biological, as well as the impact of these expansions in the generation of new concepts (concept partitioning). This model also shows that bioinspired design requires a special form of collaboration between engineers and biologists. Contrasting with the classic one-way transfer between biology and engineering that is assumed in the literature, the concept–knowledge framework shows that these collaborations must be “mutually inspirational” because both biological and engineering knowledge expansions are needed to reach a novel solution.


Author(s):  
Swaroop S. Vattam ◽  
Michael Helms ◽  
Ashok K. Goel

Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.


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