Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220698045> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4220698045 endingPage "50" @default.
- W4220698045 startingPage "41" @default.
- W4220698045 abstract "Conventional crash absorber in automotive applications, so called crash boxes are fabricated via deep drawn sheet metal resulting in significant lead times and costs. Laser Powder Bed Fusion processes, like Selective Laser Melting (SLM) offer an attractive alternative for the fabrication of crash parts while eliminating any need for costly forming dies and reducing the lead times, provided required material properties are achieved. Reliable numerical simulation model to predict the SLM build process with greater spatial resolution and accuracy is indispensable to understand the process further in order to ensure its applicability to crash structures. In this paper, an improved simulation methodology for SLM process is presented to predict the material behaviour via temperature, deformation, hardening, flow stress and phase fractions throughout the component with increased accuracy and greater resolution. To achieve desired spatial resolution, the equivalent layers are subdivided into individual tracks, which are then deposited sequentially to simulate the printing process. The material is a medium manganese (7-8 %) transformation induced plasticity (TRIP) steel with austenite and martensite primary phases. The multiple solid-state phase transformation cycles undergone by the material are modelled in the simulation and the final phases are predicted. The results indicate improved accuracy and higher resolution in predictions for temperature, phase fractions and deformation." @default.
- W4220698045 created "2022-04-03" @default.
- W4220698045 creator A5007111416 @default.
- W4220698045 creator A5007685923 @default.
- W4220698045 creator A5017039597 @default.
- W4220698045 creator A5023549120 @default.
- W4220698045 creator A5036878446 @default.
- W4220698045 creator A5046682321 @default.
- W4220698045 creator A5063444520 @default.
- W4220698045 creator A5063689408 @default.
- W4220698045 creator A5066689454 @default.
- W4220698045 creator A5086421493 @default.
- W4220698045 date "2022-03-15" @default.
- W4220698045 modified "2023-10-14" @default.
- W4220698045 title "Accurate numerical prediction of thermo-mechanical behaviour and phase fractions in SLM components of advanced high strength steels for automotive applications" @default.
- W4220698045 doi "https://doi.org/10.21935/tls.v5i1.145" @default.
- W4220698045 hasPublicationYear "2022" @default.
- W4220698045 type Work @default.
- W4220698045 citedByCount "1" @default.
- W4220698045 countsByYear W42206980452023 @default.
- W4220698045 crossrefType "journal-article" @default.
- W4220698045 hasAuthorship W4220698045A5007111416 @default.
- W4220698045 hasAuthorship W4220698045A5007685923 @default.
- W4220698045 hasAuthorship W4220698045A5017039597 @default.
- W4220698045 hasAuthorship W4220698045A5023549120 @default.
- W4220698045 hasAuthorship W4220698045A5036878446 @default.
- W4220698045 hasAuthorship W4220698045A5046682321 @default.
- W4220698045 hasAuthorship W4220698045A5063444520 @default.
- W4220698045 hasAuthorship W4220698045A5063689408 @default.
- W4220698045 hasAuthorship W4220698045A5066689454 @default.
- W4220698045 hasAuthorship W4220698045A5086421493 @default.
- W4220698045 hasBestOaLocation W42206980451 @default.
- W4220698045 hasConcept C127413603 @default.
- W4220698045 hasConcept C146978453 @default.
- W4220698045 hasConcept C159985019 @default.
- W4220698045 hasConcept C192562407 @default.
- W4220698045 hasConcept C204366326 @default.
- W4220698045 hasConcept C26796778 @default.
- W4220698045 hasConcept C2779227376 @default.
- W4220698045 hasConcept C2779747408 @default.
- W4220698045 hasConcept C2781031896 @default.
- W4220698045 hasConcept C44255700 @default.
- W4220698045 hasConcept C526921623 @default.
- W4220698045 hasConcept C78519656 @default.
- W4220698045 hasConcept C87976508 @default.
- W4220698045 hasConcept C96288455 @default.
- W4220698045 hasConceptScore W4220698045C127413603 @default.
- W4220698045 hasConceptScore W4220698045C146978453 @default.
- W4220698045 hasConceptScore W4220698045C159985019 @default.
- W4220698045 hasConceptScore W4220698045C192562407 @default.
- W4220698045 hasConceptScore W4220698045C204366326 @default.
- W4220698045 hasConceptScore W4220698045C26796778 @default.
- W4220698045 hasConceptScore W4220698045C2779227376 @default.
- W4220698045 hasConceptScore W4220698045C2779747408 @default.
- W4220698045 hasConceptScore W4220698045C2781031896 @default.
- W4220698045 hasConceptScore W4220698045C44255700 @default.
- W4220698045 hasConceptScore W4220698045C526921623 @default.
- W4220698045 hasConceptScore W4220698045C78519656 @default.
- W4220698045 hasConceptScore W4220698045C87976508 @default.
- W4220698045 hasConceptScore W4220698045C96288455 @default.
- W4220698045 hasIssue "1" @default.
- W4220698045 hasLocation W42206980451 @default.
- W4220698045 hasOpenAccess W4220698045 @default.
- W4220698045 hasPrimaryLocation W42206980451 @default.
- W4220698045 hasRelatedWork W1977940455 @default.
- W4220698045 hasRelatedWork W1991612307 @default.
- W4220698045 hasRelatedWork W2049298695 @default.
- W4220698045 hasRelatedWork W2072500154 @default.
- W4220698045 hasRelatedWork W2093483888 @default.
- W4220698045 hasRelatedWork W2288300092 @default.
- W4220698045 hasRelatedWork W2893408099 @default.
- W4220698045 hasRelatedWork W2982232346 @default.
- W4220698045 hasRelatedWork W3127776915 @default.
- W4220698045 hasRelatedWork W3214085013 @default.
- W4220698045 hasVolume "5" @default.
- W4220698045 isParatext "false" @default.
- W4220698045 isRetracted "false" @default.
- W4220698045 workType "article" @default.