Parameter Optimization in High-Throughput Testing for Structural Materials.

heat treatment high-throughput screening optimization particle-oriented peening process chain

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
21 Oct 2019
Historique:
received: 30 09 2019
revised: 17 10 2019
accepted: 18 10 2019
entrez: 24 10 2019
pubmed: 24 10 2019
medline: 24 10 2019
Statut: epublish

Résumé

High-throughput screenings are established evaluation methods in the development of functional materials and pharmaceutical active ingredients. The transfer of this approach to the development of structural materials requires extensive adaptations. In addition to the investigation of new test procedures for the determination of material properties and the treatment of metallic materials, the design of experiments is a research focus. Based on given descriptor target values, the statistical design of experiments determines investigations and treatments for the investigation of these materials. In this context, process parameters also have to be determined, as these have a major influence on the later material properties, especially during the treatment of samples. In this article, a method is presented which determines the process parameters iteratively. The validation of the calculated process parameters takes place based on differential scanning calorimetry used as the furnace for the heat treatment of small batches and particle-oriented peening as the characterization method.

Identifiants

pubmed: 31640170
pii: ma12203439
doi: 10.3390/ma12203439
pmc: PMC6829500
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 276397488

Références

Angew Chem Int Ed Engl. 2007;46(32):6016-67
pubmed: 17640024
Curr Opin Chem Biol. 2000 Aug;4(4):445-51
pubmed: 10959774
Drug Discov Today. 2008 Mar;13(5-6):227-33
pubmed: 18342798
Materials (Basel). 2018 Aug 01;11(8):null
pubmed: 30071604
Acc Chem Res. 2001 Mar;34(3):213-21
pubmed: 11263879
Drug Discov Today. 2002 Jan 15;7(2):83-5
pubmed: 11790609
Nat Mater. 2013 Mar;12(3):191-201
pubmed: 23422720

Auteurs

Alexander Bader (A)

Bremen Institute for Mechanical Engineering (bime), University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany. bader@bime.de.

Anastasiya Toenjes (A)

Leibniz Institute for Materials Engineering-IWT, University of Bremen, Badgasteiner Str. 3, 28359 Bremen, Germany. toenjes@iwt-bremen.de.

Nicole Wielki (N)

Leibniz Institute for Materials Engineering-IWT, University of Bremen, Badgasteiner Str. 3, 28359 Bremen, Germany. wielki@iwt-bremen.de.

Andreas Mändle (A)

Institute for Statistics, University of Bremen, Linzer Str. 4, 28359 Bremen, Germany. maendle@uni-bremen.de.

Ann-Kathrin Onken (AK)

Bremen Institute for Mechanical Engineering (bime), University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany. onken@bime.de.

Axel von Hehl (AV)

Leibniz Institute for Materials Engineering-IWT, University of Bremen, Badgasteiner Str. 3, 28359 Bremen, Germany. vonhehl@iwt-bremen.de.
MAPEX Center for Materials and Processes, University of Bremen, Bibliothekstr. 1, 28359 Bremen, Germany. vonhehl@iwt-bremen.de.

Daniel Meyer (D)

Leibniz Institute for Materials Engineering-IWT, University of Bremen, Badgasteiner Str. 3, 28359 Bremen, Germany. dmeyer@iwt-bremen.de.
MAPEX Center for Materials and Processes, University of Bremen, Bibliothekstr. 1, 28359 Bremen, Germany. dmeyer@iwt-bremen.de.

Werner Brannath (W)

Institute for Statistics, University of Bremen, Linzer Str. 4, 28359 Bremen, Germany. brannath@uni-bremen.de.

Kirsten Tracht (K)

Bremen Institute for Mechanical Engineering (bime), University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany. tracht@bime.de.
MAPEX Center for Materials and Processes, University of Bremen, Bibliothekstr. 1, 28359 Bremen, Germany. tracht@bime.de.

Classifications MeSH