A combined experimental-computational approach to design optimization of high temperature alloys

Rajesh Jha, George S. Dulikravich, Frank Pettersson, Henrik Saxén, Nirupam Chakraborti

Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

3 Citeringar (Scopus)

Sammanfattning

Experimental data were used to develop metamodels to predict high temperature alloy chemistry trends influencing stress-to-rupture and time-to-rupture of Nickel based superalloys. Chemistry optimization utilized evolutionary neural networks, bi-objective genetic programming and pruning algorithm. Optimization results were compared with the experimental data and IOSO optimization algorithm. Response surfaces were developed through various modules available in a commercial optimization package. Pareto optimized chemistries were tested using thermodynamic database, FactSageTM, by studying the phase distribution as a function of temperature of manufacture and exposure. Uniformity in the amount of critical phases over 0-1200 0C range confirmed high temperature stability for optimized alloys.

OriginalspråkEngelska
Titel på gästpublikationASME 2014 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries, ETAM 2014
FörlagAmerican Society of Mechanical Engineers
ISBN (elektroniskt)9780791840740
DOI
StatusPublicerad - 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangASME 2014 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries, ETAM 2014 - Seattle, USA
Varaktighet: 25 mar 201427 mar 2014

Publikationsserier

NamnASME 2014 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries, ETAM 2014

Konferens

KonferensASME 2014 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries, ETAM 2014
Land/TerritoriumUSA
OrtSeattle
Period25/03/1427/03/14

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