Current State of the Art: Problem-Driven Multi-Functional Bio-Inspired Designs

Devesh Bhasin, D. McAdams
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引用次数: 3

Abstract

The development of multi-functional designs is one of the prime reasons to adopt bio-inspired design in engineering design. However, the development of multi-functional bio-inspired designs is mostly solution-driven, in the sense that an available multi-functional solution drives the search for a problem that can be solved by implementing the available solution. The solution-driven nature of the approach restricts the engineering designers to the use of the function combinations found in nature. On the other hand, a problem-driven approach to multi-functional designs allows the designers to form some combination of functions best suited for the problem at hand. However, few works exist in the literature that focus on the development of multi-functional bio-inspired solutions from a problem-driven perspective. In this work, we analyze the existing works that aid the designers in combining multiple biological strategies to develop multi-functional bio-inspired designs. The analysis is carried out by comparing and contrasting the existing frameworks that support multi-functional bio-inspired design generation. The criteria of comparison are derived from the steps involved in the unified problem-driven biomimetic approach. In addition, we qualitatively compare the multi-functional bio-inspired designs developed using existing frameworks to the multi-functional designs existing in biology. Our aim is to explore the capabilities and limitations of current methods to support the generation multi-functional bio-inspired designs.
当前的艺术状态:问题驱动的多功能仿生设计
多功能设计的发展是在工程设计中采用仿生设计的主要原因之一。然而,多功能生物设计的发展主要是由解决方案驱动的,也就是说,一个可用的多功能解决方案推动了对一个问题的探索,这个问题可以通过实施可用的解决方案来解决。该方法的解决方案驱动性质限制了工程设计人员只能使用自然界中发现的功能组合。另一方面,问题驱动的多功能设计方法允许设计人员形成最适合当前问题的功能组合。然而,很少有文献从问题驱动的角度关注多功能生物启发解决方案的发展。在这项工作中,我们分析了现有的作品,帮助设计师结合多种生物策略来开发多功能的生物灵感设计。分析是通过比较和对比现有的支持多功能仿生设计生成的框架来进行的。比较标准来源于统一的问题驱动仿生方法中涉及的步骤。此外,我们定性地比较了使用现有框架开发的多功能生物启发设计与生物学中存在的多功能设计。我们的目标是探索现有方法的能力和局限性,以支持一代多功能仿生设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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