Advanced Bio-Inspired Design and Additive Manufacturing

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1528

Special Issue Editor


E-Mail Website
Guest Editor
School of Engineering and Technology, Western Carolina University, Cullowhee, NC 28723, USA
Interests: bio-CAD and heterogeneous functional cellular topology design; artificial intelligence enabled additive manufacturing process modeling, monitoring, anomaly detection, and control; engineered hierarchical structures and metamaterials

Special Issue Information

Dear Colleagues,

Taking inspiration from the incredible ability of biological systems to solve engineering problems can result in efficient and elegant solutions. The bio-inspired design approach at the intersection of biology and engineering is based on translating the knowledge of biological systems into innovative designs for products and processes. The recent advances in additive manufacturing, digitization techniques, computational tools, and AI are enabling us to bring and implement nature-inspired technical design innovations. However, realizing the form of efficient bio-inspired designs while still achieving their desired functionality requires progress in the areas of design philosophy and advanced manufacturing.

This Special Issue supports novel and creative research on the techniques, approaches, and theories for bio-inspired designs and their manufacturing processes, in particular additive manufacturing, for engineering and healthcare applications. Submissions of manuscripts on original research and literature reviews in the following areas as specified by the keywords are encouraged.

  • Biomimicry and bio-inspired design;
  • Engineering design;
  • Cellular and hierarchical structures;
  • Topology optimization and generative design;
  • Machine learning and AI-driven design;
  • Bioinspired robotics and machines;
  • Additive manufacturing;
  • Design for additive manufacturing;
  • Biomanufacturing;
  • New manufacturing processes/tools/systems development.

Dr. AMM Nazmul Ahsan
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. Machines 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 2400 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

  • biomimicry and bio-inspired design
  • engineering design
  • cellular and hierarchical structures
  • topology optimization and generative design
  • machine learning and AI-driven design
  • bioinspired robotics and machines
  • additive manufacturing
  • design for additive manufacturing
  • biomanufacturing
  • new manufacturing processes/tools/systems development

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 7148 KiB  
Article
Bioinspired Design of Material Architecture for Additive Manufacturing
by Dairon Pleasant, Connor Gavin, Garrett Redden, Jacquelyn Nagel and Hao Zhang
Machines 2023, 11(12), 1081; https://doi.org/10.3390/machines11121081 - 11 Dec 2023
Cited by 1 | Viewed by 1197
Abstract
This research explores the enhancement of mechanical properties in material architectures, such as strength-to-weight ratio and resilience, through the inspiration of natural systems. Historically, designs for additive manufacturing have relied on simple, repetitive structures like honeycombs, often leading to unnecessary material expenditure. This [...] Read more.
This research explores the enhancement of mechanical properties in material architectures, such as strength-to-weight ratio and resilience, through the inspiration of natural systems. Historically, designs for additive manufacturing have relied on simple, repetitive structures like honeycombs, often leading to unnecessary material expenditure. This study aims to examine the compressive mechanical attributes of designs inspired by natural systems, including bird nests, cocoons, and the layered structure of skull bones. Through a comparative analysis, we assessed peak load capacity, strength-to-weight ratio, and resilience between these bioinspired architectures and a standard 3D infill pattern utilized in additive manufacturing. Findings indicate that structures inspired by sandwiched bone layers excel in resilience and peak load, whereas those based on bird nests are notably lighter and, in some cases, exhibit the highest strength-to-weight ratio. The insights provided here will help design engineers with empirically backed mechanical properties of bioinspired architectures, offering a novel methodology for the development of material systems influenced by biological paradigms. Full article
(This article belongs to the Special Issue Advanced Bio-Inspired Design and Additive Manufacturing)
Show Figures

Figure 1

Back to TopTop