Reprint

Design for Additive Manufacturing

Methods and Tools

Edited by
August 2022
352 pages
  • ISBN978-3-0365-4925-5 (Hardback)
  • ISBN978-3-0365-4926-2 (PDF)

This book is a reprint of the Special Issue Design for Additive Manufacturing: Methods and Tools that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

This Special Issue book aims to take stock of the most recent design for additive manufacturing (DfAM) methodologies, methods, and tools. After an overview prepared by the Editors, which summarizes the present situation and predicts future trends in the research area, the book collects a series of papers which are arranged as follows.

The first part presents papers on innovative design for additive manufacturing and optimization workflows. The primary purpose of these works is to support design engineers during the entire design process. They illustrate how to integrate methods and tools, and they provide information on the contexts in which DfAM methodologies can guarantee maximum benefits. The second part focuses on DfAM methods (e.g., cell modelling and self-supporting topologies), topological optimization (integrated within workflow design), and process simulation (also based on machine learning approaches). The third part begins with an extensive review of presently available DfAM tools. Then, it continues with the presentation of systems to support design processes (e.g., simulation for predicting the mechanical characteristics; definition of the tool path for the optimization of structural performance). The last part presents some significant applications for the research presented thus far. The applications refer to the electronics sector (novel resistive sensors), the biomedical sector (clips for measuring exposure in the breathing zone; shaped ceramic bone implants), and the energy sector (composite structures for marine energy systems).

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
design for AM; 3D printing; open source; personal exposure; parametric universal clip; bones implants; stereolithography; 3D printing; aluminum oxide; Function Representation (FRep) method; design for additive manufacturing; topology optimisation; design variants selection; redesign; design method; selective laser melting; assistive device; design optimisation; Fused Deposition Modeling (FDM); tool-path; FEA; CFRP; 3D printing; additive manufacturing; design for additive manufacturing; resistive sensors; electrical conductive filament; material extrusion; fused deposition modeling; SEMDOT; Langelaar’s AM filter; print-ready design; additive manufacturing; design for additive manufacturing; product design; multi criteria decision-making; marine energy; tidal turbine; design for additive manufacturing; composite manufacturing; hybrid structures; composite structures; additive manufacturing; industrial design; fused deposition modeling; parametric design; industrial design; CAD computer aided design; topology optimization; lattice design; cold spray; neural network; additive manufacturing; data-efficient; model; profile; geometry; spray angle; limited data; machine learning; topology optimisation; topology; steel design; steel structures; optimisation; design methods; design for additive manufacturing; connections; civil engineering; DfAM; design for additive manufacturing; size optimization; topology optimization; design workflow; computational geometry; geometric modeling; cellular structures; additive manufacturing; cellular design; hierarchical structures; lattice structures; pre-structured material; additive manufacturing; finite element modeling; mechanical behavior; fracture mechanics; Acrylonitrile Butadiene Styrene; 3D printing; smart material; additive manufacturing; design for additive manufacturing; topology optimization; generative design; lattice infill optimization; manifold; hydraulic component; additive manufacturing; design methodology; development workflow; laser powder bed fusion; topology optimization; lightweight design; design methodology; restoration of ancient statues; n/a