About: USING SIMULATION FOR PREDICTION OF BURN ON AND MOULD PENETRATION     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper deals with theoretical analysis of burn-on and penetration defects in steel castings. These defects are principally caused by local overheating of the sand mould or cores. Such overheating can cause liquid metal to strike at the mould surface and entrain onto the surface of the mould. A method has been described to predict likely burn-on and penetration defect locations as part of a standard casting simulation. The method is based on determining, from simulation results, the locations where the mould is above a certain critical temperature. The critical temperature is generally above the temperature at which the steel is fully solidified. By measuring the time periods during which these locations in the mould are above the critical temperature, burn-on and penetration defects can be predicted.
  • This paper deals with theoretical analysis of burn-on and penetration defects in steel castings. These defects are principally caused by local overheating of the sand mould or cores. Such overheating can cause liquid metal to strike at the mould surface and entrain onto the surface of the mould. A method has been described to predict likely burn-on and penetration defect locations as part of a standard casting simulation. The method is based on determining, from simulation results, the locations where the mould is above a certain critical temperature. The critical temperature is generally above the temperature at which the steel is fully solidified. By measuring the time periods during which these locations in the mould are above the critical temperature, burn-on and penetration defects can be predicted. (en)
Title
  • USING SIMULATION FOR PREDICTION OF BURN ON AND MOULD PENETRATION
  • USING SIMULATION FOR PREDICTION OF BURN ON AND MOULD PENETRATION (en)
skos:prefLabel
  • USING SIMULATION FOR PREDICTION OF BURN ON AND MOULD PENETRATION
  • USING SIMULATION FOR PREDICTION OF BURN ON AND MOULD PENETRATION (en)
skos:notation
  • RIV/00216305:26210/10:PU87219!RIV12-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 294825
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/10:PU87219
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Sand mould, Temperature field, Surface Defects, Simulation, Steel. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3280A45EC230]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tomek, Ladislav
  • Kosour, Vojtěch
http://localhost/t...ganizacniJednotka
  • 26210
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software