Article | REF: BM7987 V1

Topological optimization. Design for additive manufacturing

Author: Lionel ARNAUD

Publication date: March 10, 2023

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Overview

Français

ABSTRACT

In this article it is first illustrated the potential of topological optimization in many areas. It is also clearly explained what is hidden behind this method that has long remained reserved for mathematical experts. Simple examples are analyzed to help you better understand all its features and help you to practice it with the many software available on the market. This method naturally generates complex shapes that are entirely manufacturable by 3D printing and is particularly suitable when mass saving is a major objective.

Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.

Read the article

AUTHOR

  • Lionel ARNAUD: University Professor - LGP (Production Engineering Laboratory) at ENIT (national engineering school in Tarbes)

 INTRODUCTION

By definition, topological optimization enables us to optimize the material distribution of a part subject to various objectives, such as mass, mechanical, thermal, chemical or electromagnetic constraints.

This mathematical technique is already used in many CAD and finite element modeling software packages.

Topological optimization differs from historical methods of dimensional optimization (i.e. beam length or diameter, plate thickness), or shape optimization (connection radius, shape of an edge or opening), methods which generally concern a fairly limited number of parameters to be optimized ( 10 - 100). Material optimization, on the other hand, is a generalization that allows the characteristics of materials to evolve freely at any point on the part, particularly with non-isotropic materials.

Topological optimization is mainly applied to the fields of solid mechanics, thermics and fluid mechanics, but also sometimes to chemistry, electromagnetism and piezoelectricity. The objectives are most often to lighten structures subjected to mechanical stress, but also to optimize fluidic, thermal and other mono or multiphysical performances [BM 7 940] .

In order to exploit this method, which is generally based on iterations of finite element (FE) calculations, it is first necessary to ensure that such a model is feasible and can be run dozens or hundreds of times.

It is also important to ensure that the boundary conditions of the problem are well known, and that the criteria for dimensioning the structure are explicitly formulated. Without this, the robustness of the result obtained, or even the convergence of the optimization, is generally highly compromised.

You then need to identify the CAD quality you are aiming for, as the results can sometimes be disappointing (e.g. roughly defined part contours, or areas that are difficult to interpret).

Finally, depending on the process in question (most often additive manufacturing [BM 7 017] ), the part's manufacturability must be taken into account, including problems of support or closed volumes, for example. Any post-processing, such as polishing (mechanical or chemical) or machining, must also be anticipated,...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

KEYWORDS

additive manufacturing   |   Topological optimization   |   Organic design   |   Generative design


This article is included in

Additive manufacturing -3D printing

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Topological optimization