Patthranit Wongpromrat

Dr. Patthranit Wongpromrat

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 February 2013 in Oxidation of Metals
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PWPatthranit Wongpromrat
Patthranit Wongpromrat
HTHarit Thaikan
Harit Thaikan
WCWalairat Chandra-Ambhorn
Walairat Chandra-Ambhorn
SCSomrerk Chandra-Ambhorn
Somrerk Chandra-Ambhorn

12 February 2020 in Solid State Phenomena
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Journal Article
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SCSébastien Chevalier
Sébastien Chevalier
LCLionel Combemale
Lionel Combemale
IPIoana Popa
Ioana Popa
SCSomrerk Chandra-Ambhorn
Somrerk Chandra-Ambhorn
WCWalairat Chandra-Ambhorn
Walairat Chandra-Ambhorn
PWPatthranit Wongpromrat
Patthranit Wongpromrat
The chapter introduces components and working principle of solid oxide fuel cells (SOFCs). It is followed by the explanation on the choices of materials focussing on ferritic stainless steels. The review is further made on the required properties of these steels, i.e. low oxidation rate, low chromium species volatilisation rate, high electrical conductivity and good scale adhesion. For the oxidation aspect, the behaviour of stainless steel interconnect in cathode, anode (hydrogen and biogas), and dual atmospheres are described. Surface modification by pre-oxidation and coatings to improve the oxide electrical conductivity and to reduce chromium species volatilisation is finally reviewed.

1 May 2016 in Corrosion Science
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Journal Article
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PWPatthranit Wongpromrat
Patthranit Wongpromrat
GBGrégory Berthomé
Grégory Berthomé
VPValérie Parry
Valérie Parry
SCSomrerk Chandra-Ambhorn
Somrerk Chandra-Ambhorn
WCWalairat Chandra-Ambhorn
Walairat Chandra-Ambhorn
YWYves Wouters
Yves Wouters

5 March 2025 in Scientific Reports
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RCRathachai Chawuthai
Rathachai Chawuthai
TPTeeratat Promchan
Teeratat Promchan
JRJularak Rojsanga
Jularak Rojsanga
SCSomrerk Chandra-Ambhorn
Somrerk Chandra-Ambhorn
TNThanasak Nilsonthi
Thanasak Nilsonthi
AAAmata Anantpinijwatna
Amata Anantpinijwatna
Material degradation is one of the main problems in various high-temperature processes, directly resulting in the failure of the material. Crack and protective oxide film spallation caused either by mechanical stress development in the oxidation process or thermal stress due to a mismatch of the thermal expansions of the formed oxide and alloy are common forms of failure in high-temperature processes. Typically, the Pilling-Bedworth ratio (PBR) is employed to predict crack and spallation of the oxide by determining the volume changes of oxide and alloy because of its simplicity. However, this approach provides poor crack and spallation predictions. Hence, machine learning was adopted in the present work to predict oxide formation and spallation in the temperature range of 600-1,200 °C. The inputs for the present developed model were alloy compositions, oxide formed during oxidation, and oxidation conditions and periods. Furthermore, the predicted results of the present developed machine learning model were compared to those obtained by the PBR method. The present results revealed that the accuracy of the oxide spallation prediction of the present model was better than that of the PBR method. The random forest with 15 estimators was the best machine learning model. Finally, it can be concluded that the machine learning model is essential for accurate material failure prediction.

19 January 2015 in Materials at High Temperatures
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Journal Article
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PWPatthranit Wongpromrat
Patthranit Wongpromrat
VPV. Parry
V. Parry
FCF. Charlot
F. Charlot
ACA. Crisci
A. Crisci
LLLaurence Latu-Romain
Laurence Latu-Romain
YWYves Wouters
Yves Wouters
International audienceAISI 441 ferritic stainless steel is a good candidate for metallic interconnects of solid oxide fuel cells (SOFCs). In this alloy, the minor elements Ti and Nb are used to stabilise the ferritic structure but their influence on steel durability is not well understood. This study focuses on the early stages of oxidation (24 h) at 800 degrees C of AISI 441 under 5% H2O in O-2 following the cathodic SOFCs conditions. The typical duplex oxide scale, composed of a (Mn, Cr)(3)O-4 spinel top layer and a Cr2O3 rich sublayer is observed, with oxide nodules growing in places. These objects, in the micrometre range in size, are studied by FIB tomography. The analyses reveal a complex structure and a development strongly linked to the presence of niobium and/ or titanium compound(s) in the subjacent substrate

12 February 2020 in Solid State Phenomena
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Journal Article
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SCSomrerk Chandra-Ambhorn
Somrerk Chandra-Ambhorn
PWPatthranit Wongpromrat
Patthranit Wongpromrat
TTThammaporn Thublaor
Thammaporn Thublaor
WCWalairat Chandra-Ambhorn
Walairat Chandra-Ambhorn
This chapter primarily reviews the nature of water vapour when it presents in bulk gas. The change in a ratio between water vapour and corresponding dissociated hydrogen, which determine the thermodynamic stability of the oxide formation, is analysed when the oxidation kinetics are linear and parabolic. When water vapour reaches the solid/gas interface, chromium species volatilisation and oxidation controlled by surface reaction can occur. The adsorbed water vapour can be further incorporated into the oxide possibly in the form of hydrogen defects. The role of these defects on altering the defect structure of the oxide is discussed. Finally, characteristics of the oxide scale on stainless steels formed in the atmosphere containing water vapour are reviewed.