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Innovative Bionics Product Life-Cycle Management Methodology Framework with Built-In Reverse Biomimetics: From
1School of Electrical, Electronic and Mechanical Engineering, (ESDI) Research Group, University of Bristol, Bristol BS8 1TR, UK.
This study introduces a novel bionics product lifecycle management (PLM) framework using reverse biomimetics and reverse engineering (RE). This approach simplifies transferring biological designs to engineering for innovative technology development.
Area of Science:
- Biomimetics and Bionic Design
- Engineering and Technology Development
- Product Lifecycle Management (PLM)
Background:
- Bridging the gap between biology and engineering is crucial for innovative technology.
- Existing frameworks face challenges in abstracting biological structures for engineering applications.
- Bionics offers a methodology to translate biological principles into technological solutions.
Purpose of the Study:
- To propose a novel Product Lifecycle Management (PLM) framework utilizing bionics.
- To introduce reverse biomimetics as a shape abstraction methodology for analyzing biological structures.
- To demonstrate the application of this framework in developing bio-inspired technologies.
Main Methods:
- Developed an eleven-stage reverse engineering (RE) format to support technical biology.
- Employed functional morphology to study the relationship between form and function in biological systems.
- Integrated functional feature extraction, surface reconstruction, and solid modeling into a five-stage design process.
Main Results:
- The reverse biomimetic approach effectively translates biological design intents into engineering realities.
- Virtual mapping using high-end software simplifies knowledge transfer from biology to engineering.
- Demonstrated the framework's application through two case studies: a drug-releasing chewing robot and a prosthetic hand.
Conclusions:
- The proposed bionics PLM framework facilitates innovative bio-inspired developments.
- This methodology enhances the understanding and representation of biological systems for engineering applications.
- The framework is suitable for integration into undergraduate engineering courses to foster interest in bionics.
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