Open AccessProgress on different topology optimization approaches and optimization for additive manufacturing: a review
Author(s) -
Tianxia Zhan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1939/1/012101
Subject(s) - computer science , set (abstract data type) , field (mathematics) , topology optimization , convergence (economics) , mathematical optimization , topology (electrical circuits) , industrial engineering , mathematics , engineering , structural engineering , combinatorics , finite element method , pure mathematics , economics , programming language , economic growth
The progress of topology optimizations for the last decade has been reviewed based on the five main methods mentioned in Sigmund’s article in 2013: density, level-set, topological derivative, phase field, and evolutionary. The recent progress is mainly focusing on methods originated in density or level set method, with an inclination of combining them with the evolutionary method. The methods developed have a large number of applications, yet certain issues, e. g., guaranteeing the convergence of the results generated through evolutionary methods need further investigation. Besides, those studies specifically targeted for the optimization and designing for additive manufacturing are also discussed, as well as the ideas and guidelines for those designs. It is recognized that in order to cope with additive manufacturing, it is necessary to modify existing structures for the application of lattice structures and the reduction of support structures. Moreover, the introduction of the idea of designing for additive manufacturing (DfAM), as well as efforts to make the end-users understand and familiarize themselves with the dramatic differences in designs, are also desired changes that need more efforts to be applied on.