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Mohr M, Dong Y, Bracker GP, Hyers RW, Matson DM, Zboray R, Frison R, Dommann A, Neels A, Xiao X, Brillo J, Busch R, Novakovic R, Srirangam P, Fecht HJ. Electromagnetic levitation containerless processing of metallic materials in microgravity: thermophysical properties. NPJ Microgravity 2023; 9:34. [PMID: 37130899 PMCID: PMC10154313 DOI: 10.1038/s41526-023-00281-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 04/12/2023] [Indexed: 05/04/2023] Open
Abstract
Transitions from the liquid to the solid state of matter are omnipresent. They form a crucial step in the industrial solidification of metallic alloy melts and are greatly influenced by the thermophysical properties of the melt. Knowledge of the thermophysical properties of liquid metallic alloys is necessary in order to gain a tight control over the solidification pathway, and over the obtained material structure of the solid. Measurements of thermophysical properties on ground are often difficult, or even impossible, since liquids are strongly influenced by earth's gravity. Another problem is the reactivity of melts with container materials, especially at high temperature. Finally, deep undercooling, necessary to understand nucleus formation and equilibrium as well as non-equilibrium solidification, can only be achieved in a containerless environment. Containerless experiments in microgravity allow precise benchmark measurements of thermophysical properties. The electromagnetic levitator ISS-EML on the International Space Station (ISS) offers perfect conditions for such experiments. This way, data for process simulations is obtained, and a deeper understanding of nucleation, crystal growth, microstructural evolution, and other details of the transformation from liquid to solid can be gained. Here, we address the scientific questions in detail, show highlights of recent achievements, and give an outlook on future work.
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Affiliation(s)
- M Mohr
- Institute of Functional Nanosystems, Ulm University, Ulm, Germany.
- Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081, Ulm, Germany.
| | - Y Dong
- Institute of Functional Nanosystems, Ulm University, Ulm, Germany
| | - G P Bracker
- Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA
| | - R W Hyers
- Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA
| | - D M Matson
- Department of Mechanical Engineering, Tufts University, Medford, MA, USA
| | - R Zboray
- Center for X-ray Analytics, Empa Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - R Frison
- Center for X-ray Analytics, Empa Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - A Dommann
- Center for X-ray Analytics, Empa Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - A Neels
- Center for X-ray Analytics, Empa Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
| | - X Xiao
- Institut für Materialphysik im Weltraum, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Köln, Germany
| | - J Brillo
- Institut für Materialphysik im Weltraum, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Köln, Germany
| | - R Busch
- Lehrstuhl für Metallische Werkstoffe, Saarland University, Saarbrücken, Germany
| | - R Novakovic
- National Research Council (CNR-ICMATE), Via de Marini, 6, 16149, Genoa, Italy
| | - P Srirangam
- Warwick Manufacturing Group, University of Warwick, Coventry, UK
| | - H-J Fecht
- Institute of Functional Nanosystems, Ulm University, Ulm, Germany.
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Stender D, Frison R, Conder K, Rupp JLM, Scherrer B, Martynczuk JM, Gauckler LJ, Schneider CW, Lippert T, Wokaun A. Crystallization of zirconia based thin films. Phys Chem Chem Phys 2015; 17:18613-20. [PMID: 26119755 DOI: 10.1039/c5cp02631h] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The crystallization kinetics of amorphous 3 and 8 mol% yttria stabilized zirconia (3YSZ and 8YSZ) thin films grown by pulsed laser deposition (PLD), spray pyrolysis and dc-magnetron sputtering are explored. The deposited films were heat treated up to 1000 °C ex situ and in situ in an X-ray diffractometer. A minimum temperature of 275 °C was determined at which as-deposited amorphous PLD grown 3YSZ films fully crystallize within five hours. Above 325 °C these films transform nearly instantaneously with a high degree of micro-strain when crystallized below 500 °C. In these films the t'' phase crystallizes which transforms at T > 600 °C to the t' phase upon relaxation of the micro-strain. Furthermore, the crystallization of 8YSZ thin films grown by PLD, spray pyrolysis and dc-sputtering are characterized by in situ XRD measurements. At a constant heating rate of 2.4 K min(-1) crystallization is accomplished after reaching 800 °C, while PLD grown thin films were completely crystallized already at ca. 300 °C.
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Affiliation(s)
- D Stender
- Paul Scherrer Institut, Research Department General Energy, 5232 Villigen, Switzerland.
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Cervellino A, Frison R, Cernuto G, Masciocchi N, Colonna GM, Guagliardi A. Total scattering structure–microstructure study of Fe 3O 4/γ-Fe 2O 3nanoparticles. Acta Crystallogr A 2013. [DOI: 10.1107/s0108767313098498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
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Budinich M, Frison R. Adaptive calibration of imaging array detectors. Neural Comput 1999; 11:1281-96. [PMID: 10423496 DOI: 10.1162/089976699300016241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
We present two methods for nonuniformity correlation of imaging array detectors based on neural networks; both exploit image properties to supply lack of calibrations and maximize the entropy of the output. The first method uses a self-organizing net that produces a linear correction of the raw data with coefficients that adapt continuously. The second method employs a kind of contrast equalization curve to match pixel distributions. Our work originates from silicon detectors, but the treatment is general enough to be applicable to many kinds of array detectors like those used in infrared imaging or in high-energy physics.
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Affiliation(s)
- M Budinich
- Dipartimento di Fisica, Universita degli Studi de Trieste, Via Valerio 2, I-34127 Trieste, Italy.
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