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Overhang constraint for topology optimization of self-supported compliant mechanisms considering additive manufacturing

Authors :
Ingeniería mecánica
Ingeniaritza mekanikoa
Garaigordobil Jiménez, Alain
Ansola Loyola, Rubén
Veguería López, Estrella
Fernández de Bustos, Igor
Ingeniería mecánica
Ingeniaritza mekanikoa
Garaigordobil Jiménez, Alain
Ansola Loyola, Rubén
Veguería López, Estrella
Fernández de Bustos, Igor
Publication Year :
2019

Abstract

This work presents a computational procedure for direct integration of Topology Optimization and Additive Manufacturing (AM) technologies for compliant mechanisms design. Many topologically optimized geometries present manufacturing problems derived from the lack of self-supporting capacities and require sacrificial support material for 3D printing. The proposed strategy introduces a novel overhang constraint to control the amount of sacrificial support material required for additive manufacturing of compliant mechanisms. This overhang constraint is defined as the ratio between the value of self supported contours and the total amount of admissible and inadmissible contours, and is computed by an edge detection algorithm known as the Smallest Univalue Segment Assimilating Nucleus, that analyzes the geometry of the model for locating contours and computes their inclination and orientation. The proposed algorithm has been implemented as part of a software for computer aided design and several benchmark examples have been used to demonstrate the capacities of the approach.

Details

Database :
OAIster
Notes :
This work was supported by The European Regional Development Fund (ERDF-FEDER) and the Ministry of Education and Science in Spain through the DPI2015-64863-R project (MINECO/FEDER-UE). The authors also wish to thank the Basque Government for financial assistance through IT919-16. The authors are beneficiary of the Predoctoral Program for the Training of Non-Doctor Researchers of the Department of Education of the Basque Government., English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1430741641
Document Type :
Electronic Resource