Overview
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.
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Read the articleAUTHOR
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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
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
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KEYWORDS
additive manufacturing | Topological optimization | Organic design | Generative design
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Topological optimization
Bibliography
Standard
- Additive manufacturing – Design – Part 1: laser melting on a metal powder bed. - NF EN ISO/ASTM 52911-1 - Septembre 2019
Patents
By 2022, the exact term "topological optimization" was already present in the titles of 349 patents, mainly for part designs, but also patents on mathematical methods.
The majority of patents filed are Chinese (346, including 275 filed by universities), 2 Japanese and 1 American.
In practice, all these patents place very few, if any, restrictions on the use of topological optimization,...
Directory
Suppliers of topological optimization software
Open source :
Matlab files [2]
Scilab, Python, FreeFEM++ files, ... : http://www.topology-opt.com/software-list
Free software :
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