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Research Papers: Design Theory and Methodology

Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design

[+] Author and Article Information
Marvin Arroyo

Mechanical Engineering,
University of Arkansas,
Fayetteville, AR 72701

Nicholas Huisman

University of Arkansas—Fort Smith,
Fort Smith, AR 72913

David C. Jensen

Mechanical Engineering,
University of Arkansas,
Fayetteville, AR 72701
e-mail: dcjensen@uark.edu

1Corresponding author.

Manuscript received February 6, 2017; final manuscript received April 27, 2018; published online June 18, 2018. Assoc. Editor: Katja Holtta-Otto.

J. Mech. Des 140(9), 091101 (Jun 18, 2018) (11 pages) Paper No: MD-17-1103; doi: 10.1115/1.4040317 History: Received February 06, 2017; Revised April 27, 2018

Fault adaptive design seeks to find the principles and properties that enable robustness, reliability, and resilience to implement those features into engineering products. In nature, this characteristic of adaptability is the fundamental trait that enables survival. Utilizing adaption strategy is a new area of research exploration for bio-inspired design (BID). In this paper, we introduce a tool for BID for fault adaption. Further, we discuss insights from using this tool in an undergraduate design experiment. The goal of the tool is to assist designers to develop fault adaptive behaviors in engineering systems using nature as inspiration. This tool is organized as a binary tree where branches that represent the specific details of how an organism achieves an adaptive behavior or characteristic. Results from an initial study indicate, for the specific challenge of designing fault adaption into a system, a strategy-based method can provide designers with innovative analogies and help provide the details needed to bridge the gap between analogy and engineering implementation.

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Copyright © 2018 by ASME
Topics: Design , Biomimetics
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Figures

Grahic Jump Location
Fig. 1

Overview of the structure of the Strategy Tool. Note only one path is shown for image clarity.

Grahic Jump Location
Fig. 2

A portion of the Repair binary tree. Dotted lines indicate portions of the graph not shown due to readability issues for the large graph. The complete tree can be found at the website link.2

Grahic Jump Location
Fig. 3

An example of an analog strategy reached through the strategy mapping tool. Data from: [48,49].

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