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Theoretical consideration about optimising casting parameters in DC Casting of aluminium alloys
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Micro-Modelling.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Optimised casting parameters in direct-chill casting are of great importance to manufacture crack sensitive aluminium alloys. The aim of this thesis is to develop a theoretical model to optimise casting parameters at Sapa Heat Transfer´s cast house in Finspång.

The model is an energy balance describing the difference between in- and out-going metal inside the mold, enthalpy in cooling water and losses to the surrounding during steady-state casting. A theoretical study is done to identifying the parameters of influence and with optimising potential.

Abstract [sv]

Optimerade gjutparametrar är mycket viktigt vid semikontinuerlig gjutning för att kunna tillverka sprickkänsliga aluminium legeringar. Målet med detta arbete är att ta fram en modell som kan användas för att optimera gjutparametrar vid Sapa Heat Transfers omsmältverk i Finspång.

Modellen är en energibalansmodell som beskriver skillnaden mellan in- och utgående metall i kokillen, energi transporterad genom vattenkylning samt förluster till omgivningen när gjutning är i steady-state. Den har arbetats fram teoretiskt för att identifiera vilka parametrar som inverkar och behöver optimeras.

Place, publisher, year, edition, pages
2012. , 32 p.
Keyword [en]
DC casting, aluminium casting, direct-chill casting, optimising casting parameters
National Category
Metallurgy and Metallic Materials
URN: urn:nbn:se:kth:diva-103225ISRN: KTH/MSE--11/35--SE+MICROMODMETU/EXOAI: diva2:559084
Subject / course
Micro Modelling in Process Science
Educational program
Master of Science in Engineering - Materials Design and Engineering
Available from: 2012-10-08 Created: 2012-10-07 Last updated: 2012-10-08Bibliographically approved

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Kantarp, Robbin
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