Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Identification of Heat Transfer Parameters for Gravity Sand Casting Simulations

Articolo
Data di Pubblicazione:
2024
Citazione:
Identification of Heat Transfer Parameters for Gravity Sand Casting Simulations / Vergnano, A.; Facondini, P.; Morselli, N.; Veronesi, P.; Leali, F.. - In: MACHINES. - ISSN 2075-1702. - 12:6(2024), pp. 1-16. [10.3390/machines12060414]
Abstract:
Gravity sand casting simulations require accurate modelling of heat transfer phenomena to reliably evaluate the expected quality of the produced parts. Average model parameters can be easily retrieved from a validated database. However, these parameters are highly dependent on the specific sand used and the actual forming process in the foundry. Furthermore, the heat transfer from the solidifying alloy to the mould surfaces is not precisely known, so simulation models usually use typical values for overall heat transfer coefficients. Most research works investigate individual parameters, whereas heat transfer phenomena largely arise from their interaction together. Therefore, the present work describes a combined experimental and computational method based on genetic algorithm techniques for determining the most important parameters for heat transfer in a sand mould. The experiments examine both virgin and reused sand, as these are alternatively used in the foundry for mould forming. The density, thermal conductivity, and specific heat capacity of the different sands are identified, along with heat transfer coefficients. The counterproof simulations demonstrate that the standard parameters are quite reliable for virgin sand. However, in the case of reused sand, the identified parameters lead to more reliable results.
Tipologia CRIS:
Articolo su rivista
Keywords:
gravity sand casting; thermal conductivity; volumetric heat capacity; heat transfer coefficient; parameter identification; genetic algorithms; reused sand
Elenco autori:
Vergnano, A.; Facondini, P.; Morselli, N.; Veronesi, P.; Leali, F.
Autori di Ateneo:
LEALI Francesco
MORSELLI NICOLO'
VERGNANO ALBERTO
VERONESI Paolo
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1371909
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1371909/736544/JOURNAL_ENG_2024_2_conductivity-compresso.pdf
Pubblicato in:
MACHINES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0