Matches in SemOpenAlex for { <https://semopenalex.org/work/W3216512607> ?p ?o ?g. }
- W3216512607 endingPage "142" @default.
- W3216512607 startingPage "119" @default.
- W3216512607 abstract "In this paper, a two-scale approach for elastic shape optimization of fine-scale structures in additive manufacturing is investigated. To this end, a free material optimization is performed on the macro-scale using elasticity tensors in a set of microscopically realizable tensors. A database of these realizable tensors and their cost values is obtained with a shape and topology optimization on microscopic cells, working within a fixed set of elasticity tensors samples. This microscopic optimization takes into account manufacturability constraints via predefined material bridges to neighboring cells at the faces of the microscopic fundamental cell. For the actual additive manufacturing on a chosen fine-scale, a piecewise constant elasticity tensor ansatz on grid cells of a macroscopic mesh is applied. The macroscopic optimization is performed in an efficient online phase, whereas the associated cellwise optimal material patterns are retrieved from the database that was computed offline. For that, the set of admissible realizable elasticity tensors is parametrized using tensor product cubic B-splines over the unit square matching the precomputed samples. This representation is then efficiently used in an interior point method for the free material optimization on the macro-scale." @default.
- W3216512607 created "2021-12-06" @default.
- W3216512607 creator A5022007623 @default.
- W3216512607 creator A5063603168 @default.
- W3216512607 creator A5086193278 @default.
- W3216512607 date "2023-02-02" @default.
- W3216512607 modified "2023-09-27" @default.
- W3216512607 title "Two-Scale Elastic Shape Optimization for Additive Manufacturing" @default.
- W3216512607 cites W1641896143 @default.
- W3216512607 cites W1966268934 @default.
- W3216512607 cites W1967849536 @default.
- W3216512607 cites W1981948516 @default.
- W3216512607 cites W1982739078 @default.
- W3216512607 cites W1990541396 @default.
- W3216512607 cites W1997742472 @default.
- W3216512607 cites W2005057313 @default.
- W3216512607 cites W2016413885 @default.
- W3216512607 cites W2048474719 @default.
- W3216512607 cites W2060999372 @default.
- W3216512607 cites W2069697210 @default.
- W3216512607 cites W2074176021 @default.
- W3216512607 cites W2077907806 @default.
- W3216512607 cites W2078922022 @default.
- W3216512607 cites W2082772288 @default.
- W3216512607 cites W2085115947 @default.
- W3216512607 cites W2086659547 @default.
- W3216512607 cites W2088880127 @default.
- W3216512607 cites W2098130716 @default.
- W3216512607 cites W2123871098 @default.
- W3216512607 cites W2132034927 @default.
- W3216512607 cites W2159281523 @default.
- W3216512607 cites W2160060236 @default.
- W3216512607 cites W2162526242 @default.
- W3216512607 cites W2228170291 @default.
- W3216512607 cites W2462407094 @default.
- W3216512607 cites W2504943536 @default.
- W3216512607 cites W2611741623 @default.
- W3216512607 cites W2773418789 @default.
- W3216512607 cites W2773857238 @default.
- W3216512607 cites W2793241137 @default.
- W3216512607 cites W2946274542 @default.
- W3216512607 cites W2968233179 @default.
- W3216512607 cites W2978906913 @default.
- W3216512607 cites W2982784176 @default.
- W3216512607 cites W3003695864 @default.
- W3216512607 cites W3016567034 @default.
- W3216512607 cites W3080508343 @default.
- W3216512607 cites W3106471168 @default.
- W3216512607 cites W3134775088 @default.
- W3216512607 cites W4214706872 @default.
- W3216512607 cites W4300599381 @default.
- W3216512607 doi "https://doi.org/10.1137/21m1450859" @default.
- W3216512607 hasPublicationYear "2023" @default.
- W3216512607 type Work @default.
- W3216512607 sameAs 3216512607 @default.
- W3216512607 citedByCount "0" @default.
- W3216512607 crossrefType "journal-article" @default.
- W3216512607 hasAuthorship W3216512607A5022007623 @default.
- W3216512607 hasAuthorship W3216512607A5063603168 @default.
- W3216512607 hasAuthorship W3216512607A5086193278 @default.
- W3216512607 hasBestOaLocation W32165126072 @default.
- W3216512607 hasConcept C114614502 @default.
- W3216512607 hasConcept C121854251 @default.
- W3216512607 hasConcept C126255220 @default.
- W3216512607 hasConcept C127413603 @default.
- W3216512607 hasConcept C130979935 @default.
- W3216512607 hasConcept C134306372 @default.
- W3216512607 hasConcept C135628077 @default.
- W3216512607 hasConcept C137836250 @default.
- W3216512607 hasConcept C155281189 @default.
- W3216512607 hasConcept C159985019 @default.
- W3216512607 hasConcept C164660894 @default.
- W3216512607 hasConcept C184720557 @default.
- W3216512607 hasConcept C187691185 @default.
- W3216512607 hasConcept C189216461 @default.
- W3216512607 hasConcept C192562407 @default.
- W3216512607 hasConcept C202444582 @default.
- W3216512607 hasConcept C2524010 @default.
- W3216512607 hasConcept C29513896 @default.
- W3216512607 hasConcept C33923547 @default.
- W3216512607 hasConcept C37914503 @default.
- W3216512607 hasConcept C41008148 @default.
- W3216512607 hasConcept C51255310 @default.
- W3216512607 hasConcept C62064638 @default.
- W3216512607 hasConcept C66938386 @default.
- W3216512607 hasConcept C78519656 @default.
- W3216512607 hasConceptScore W3216512607C114614502 @default.
- W3216512607 hasConceptScore W3216512607C121854251 @default.
- W3216512607 hasConceptScore W3216512607C126255220 @default.
- W3216512607 hasConceptScore W3216512607C127413603 @default.
- W3216512607 hasConceptScore W3216512607C130979935 @default.
- W3216512607 hasConceptScore W3216512607C134306372 @default.
- W3216512607 hasConceptScore W3216512607C135628077 @default.
- W3216512607 hasConceptScore W3216512607C137836250 @default.
- W3216512607 hasConceptScore W3216512607C155281189 @default.
- W3216512607 hasConceptScore W3216512607C159985019 @default.
- W3216512607 hasConceptScore W3216512607C164660894 @default.
- W3216512607 hasConceptScore W3216512607C184720557 @default.