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Moisture content analysis of metal powders, using oven desorption followed by Karl Fischer titration
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, KIMAB.
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, KIMAB.
Siemens Industrial Turbomachinery, Sweden.
Siemens Industrial Turbomachinery, Sweden.
Show others and affiliations
2018 (English)In: Euro PM 2018 Congress and Exhibition, European Powder Metallurgy Association (EPMA) , 2018Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we use Oven Desorption followed by Karl Fischer Titration (KF), to measure moisture content in a newly opened PBF-LB Hasteloy X powder (we found 28.8 ppm), an PBF-EB powder (13.7 ppm) and a HIP powder (6.7 ppm). This method heats a powder sample inside a hermetically closed vial, in an oven. At the same time an inert gas flow enters, flushes out the evaporated water and exits the vial, via a double hollow needle. The gas-water mixture that exits is directed to the Karl Fischer Titration, where the evaporated moisture is quantified. Included is also a comparison with thermogravimetric analysis (TGA) and a climate chamber moisturization experiment of a PBF-LB HX powder followed by KF analysis. After the moisturization and KF analysis, the same powder was characterized in terms of oxygen content.

Place, publisher, year, edition, pages
European Powder Metallurgy Association (EPMA) , 2018.
Keywords [en]
Desorption, Flow of gases, Inert gases, Moisture, Moisture determination, Ovens, Powder metallurgy, Powder metals, Titration, Climate chambers, Gas-water, Karl Fischer Titration, Moisturization, Oxygen content, Powder samples, Thermogravimetric analysis
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-44197Scopus ID: 2-s2.0-85079034080ISBN: 9781899072507 (print)OAI: oai:DiVA.org:ri-44197DiVA, id: diva2:1396903
Conference
European Powder Metallurgy Congress and Exhibition, Euro PM 2018, 14 October 2018 through 18 October 2018
Note

Funding text 1: Swedish Governmental Agency for Innovation Systems (Vinnova) is acknowledged for financial support of the research work (Project 2017-01265). Siemens Industrial Turbomachinery and Höganäs are acknowledged for additional support. The authors are grateful towards all above mentioned organizations for the opportunity to carry out this research.

Available from: 2020-02-26 Created: 2020-02-26 Last updated: 2025-09-23Bibliographically approved

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Citation style
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