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Open AccessArticle

Parameter Optimization in High-Throughput Testing for Structural Materials

Bremen Institute for Mechanical Engineering (bime), University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany
Leibniz Institute for Materials Engineering—IWT, University of Bremen, Badgasteiner Str. 3, 28359 Bremen, Germany
Institute for Statistics, University of Bremen, Linzer Str. 4, 28359 Bremen, Germany
MAPEX Center for Materials and Processes, University of Bremen, Bibliothekstr. 1, 28359 Bremen, Germany
Author to whom correspondence should be addressed.
Materials 2019, 12(20), 3439;
Received: 30 September 2019 / Revised: 17 October 2019 / Accepted: 18 October 2019 / Published: 21 October 2019
(This article belongs to the Special Issue Advanced Manufacturing of Metallic Alloys)
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. View Full-Text
Keywords: high-throughput screening; process chain; heat treatment; particle-oriented peening; optimization high-throughput screening; process chain; heat treatment; particle-oriented peening; optimization
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Bader, A.; Toenjes, A.; Wielki, N.; Mändle, A.; Onken, A.-K.; Hehl, A.; Meyer, D.; Brannath, W.; Tracht, K. Parameter Optimization in High-Throughput Testing for Structural Materials. Materials 2019, 12, 3439.

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