Bionic Design & Lightweight Engineering 2025

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biomimetic Design, Constructions and Devices".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 628

Special Issue Editor


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Guest Editor
School of Civil Engineering, Chongqing University, Chongqing, China
Interests: thin-walled structures; lightweight structures and materials; bionic structures; sandwich structures; additive manufacturing
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Special Issue Information

Dear Colleagues,

The increasing demand for lightweight yet robust structures has become a defining challenge across various fields, including renewable energy, robotics, and advanced additive engineering systems. For example, wind turbine blades, which are crucial for harnessing wind energy, and robotic systems, which require agility and efficiency, both benefit significantly from designs that optimize strength-to-weight ratios while maintaining durability under complex operating conditions.

Nature, through millions of years of evolution, has perfected the balance between strength and weight, providing profound inspiration for engineering solutions. For example, bionic honeycomb sandwich structures exhibit remarkable mechanical properties, making them highly suitable for applications such as wind turbine blades and lightweight robotic components.

This Special Issue focuses on the intersection of bionic design and lightweight engineering, showcasing their transformative potential in solving engineering challenges. It is my privilege to serve as the Guest Editor of this Special Issue as a professor at Chongqing University. My academic journey, which began with a Ph.D. from the University of Manchester, has been dedicated to exploring the potential of bio-inspired structures. My recent research on beetle elytrons (forewings) and their application in engineering sandwich plates exemplifies how biological principles can be effectively integrated into innovative solutions for renewable energy systems.

We eagerly anticipate your valuable contributions to this exciting and impactful field.

Prof. Dr. Xiaoming Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • structural bionics
  • lightweight engineering
  • renewable energy
  • additive manufacturing

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Published Papers (1 paper)

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Research

26 pages, 11529 KiB  
Article
Bio-Stimulated Lower Limb Rehabilitation Robot Semantic Analogy Fit Design
by Tianyi Yao, Hongfei Yu, Zhongzhi Qin, Li Sun and Jiantao Wu
Biomimetics 2025, 10(3), 134; https://doi.org/10.3390/biomimetics10030134 - 24 Feb 2025
Viewed by 459
Abstract
In order to solve the problem of insufficient design applicability in the field of lower limb rehabilitation, such as interaction, experience comfort, and modeling color, a biological excitation function system was used to guide the solution of the functional scheme of lower limb [...] Read more.
In order to solve the problem of insufficient design applicability in the field of lower limb rehabilitation, such as interaction, experience comfort, and modeling color, a biological excitation function system was used to guide the solution of the functional scheme of lower limb rehabilitation products, and the transformation of lower limb rehabilitation products in functional interaction, experience, and morphological color design driven by biological information-driven cross-domain mapping was improved. We used patent knowledge mining to study the product functional requirements of lower limb rehabilitation products. The results were used to screen the required biological prototypes, and the biological incentives were used to guide the design problems. According to the principle of analogy and similarity calculation, the similarity matrix was obtained, and then the strategy was analyzed. Through the analogy of functional system–product technology engineering systems, the engineering relationship between multi-biological and multi-design elements was determined. We realized the biological replacement and upgrading of product functions under biological stimulation to guide the design of lower limb rehabilitation products. The accurate quantitative biological information of multi-biological analogy fit has the significance of optimizing the training effect, improving the operation efficiency, and improving the morphology and modeling of the lower limb rehabilitation product engineering transformation and design. The acquisition rate of the functional design requirements of lower limb rehabilitation products based on text mining reached 95%, and the accuracy of the biological design prototype obtained through similarity calculation was higher than 79%, which verified the feasibility of the accurate bioinformatics design method and improved the rigor of the bioinformatics biomimetic design method. Full article
(This article belongs to the Special Issue Bionic Design & Lightweight Engineering 2025)
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