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A Protocol for Bioinspired Design: A Ground Sampler Based on Sea Urchin Jaws

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Mechanical Intelligence (MI): A Bioinspired Concept for Transforming Engineering Design.

Ali Khaheshi¹, Hamed Rajabi¹

¹Division of Mechanical Engineering and Design, School of Engineering, London South Bank University, London, SE1 0AA, UK.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|September 14, 2022

Summary

Mechanical Intelligence (MI) introduces nature-inspired, passively adaptive structures that overcome the limitations of static designs. These bio-inspired components offer enhanced efficiency and multi-functionality for sustainable industrial development.

Keywords:

adaptive structures bioinspired designs biomimetics shape morphing variable stiffness

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Area of Science:

Engineering
Materials Science
Biomimetics

Background:

Most current structures are static, limiting efficiency and function.
Adaptive structures offer multi-functionality and enhanced durability but are complex and costly.
Sophisticated sensing, feedback, and control systems hinder widespread adoption of adaptive structures.

Purpose of the Study:

Introduce Mechanical Intelligence (MI) as a new paradigm for designing adaptive structures.
Promote the development of engineering systems that adapt passively and automatically.
Leverage nature-inspired mechanisms for enhanced structural adaptability.

Main Methods:

Exploring bio-inspired mechanisms for automatic adaptability.
Translating natural adaptive strategies into mechanically intelligent components.
Focusing on passive, automatic adaptation to reduce complexity and cost.

Main Results:

MI offers a new approach to designing structural components with superior capabilities.
Nature-inspired solutions provide accessible pathways for developing adaptive structures.
Development of mechanically intelligent components facilitates sustainable industrial development.

Conclusions:

Mechanical Intelligence (MI) enables the creation of adaptive structures through bio-inspired, passive mechanisms.
MI structures offer a cost-effective and less complex alternative to traditional adaptive systems.
This approach supports sustainable industrial development aligned with global goals.