Next Article in Journal
SARS-CoV-2 Detection Using Optical Fiber Based Sensor Method
Next Article in Special Issue
Intelligent Defect Diagnosis of Rolling Element Bearings under Variable Operating Conditions Using Convolutional Neural Network and Order Maps
Previous Article in Journal
Underwater Drone Architecture for Marine Digital Twin: Lessons Learned from SUSHI DROP Project
Previous Article in Special Issue
Fatigue Crack Evaluation with the Guided Wave–Convolutional Neural Network Ensemble and Differential Wavelet Spectrogram
Article

Detection and Analysis of Corrosion and Contact Resistance Faults of TiN and CrN Coatings on 410 Stainless Steel as Bipolar Plates in PEM Fuel Cells

1
Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman 7618868366, Iran
2
Department of Transport, Academy of Engineering, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia
3
Department of Mechanical Engineering, Sharif University of Technology, Tehran 11155-1639, Iran
4
Department of Mechanics, Todor Kableshkov University of Transport, 158 Geo Milev Street, 1574 Sofia, Bulgaria
5
School of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Tehran 1584743311, Iran
6
TWI Ltd., Granta Park, Great Abington, Cambridge CB21 6AL, UK
7
College of Engineering and Physical Sciences, Brunel University London, Uxbridge UB8 3PH, UK
8
School of Physics, Engineering and Computer Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK
*
Authors to whom correspondence should be addressed.
Academic Editors: Steven Chatterton, Jose A Antonino-Daviu, Mohammad N Noori and Francesc Pozo
Sensors 2022, 22(3), 750; https://doi.org/10.3390/s22030750
Received: 4 December 2021 / Revised: 6 January 2022 / Accepted: 10 January 2022 / Published: 19 January 2022
(This article belongs to the Special Issue Feature Papers in Fault Diagnosis & Sensors Section 2022)
Bipolar Plates (BPPs) are the most crucial component of the Polymer Electrolyte Membrane (PEM) fuel cell system. To improve fuel cell stack performance and lifetime, corrosion resistance and Interfacial Contact Resistance (ICR) enhancement are two essential factors for metallic BPPs. One of the most effective methods to achieve this purpose is adding a thin solid film of conductive coating on the surfaces of these plates. In the present study, 410 Stainless Steel (SS) was selected as a metallic bipolar plate. The coating process was performed using titanium nitride and chromium nitride by the Cathodic Arc Evaporation (CAE) method. The main focus of this study was to select the best coating among CrN and TiN on the proposed alloy as a substrate of PEM fuel cells through the comparison technique with simultaneous consideration of corrosion resistance and ICR value. After verifying the TiN and CrN coating compound, the electrochemical assessment was conducted by the potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) tests. The results of PDP show that all coated samples have an increase in the polarization resistance (Rp) values (ranging from 410.2 to 690.6 Ω·cm2) compared to substrate 410 SS (230.1 Ω·cm2). Corrosion rate values for bare 410 SS, CrN, and TiN coatings were measured as 0.096, 0.032, and 0.060 mpy, respectively. Facilities for X-ray Diffraction (XRD), Scanning Electron Microscope (FE-SEM, TeScan-Mira III model and made in the Czech Republic), and Energy Dispersive X-ray Spectroscopy (EDXS) were utilized to perform phase, corrosion behavior, and microstructure analysis. Furthermore, ICR tests were performed on both coated and uncoated specimens. However, the ICR of the coated samples increased slightly compared to uncoated samples. Finally, according to corrosion performance results and ICR values, it can be concluded that the CrN layer is a suitable choice for deposition on 410 SS with the aim of being used in a BPP fuel cell system. View Full-Text
Keywords: fuel cells; coating; corrosion; Interfacial Contact Resistance fuel cells; coating; corrosion; Interfacial Contact Resistance
Show Figures

Figure 1

MDPI and ACS Style

Forouzanmehr, M.; Reza Kashyzadeh, K.; Borjali, A.; Ivanov, A.; Jafarnode, M.; Gan, T.-H.; Wang, B.; Chizari, M. Detection and Analysis of Corrosion and Contact Resistance Faults of TiN and CrN Coatings on 410 Stainless Steel as Bipolar Plates in PEM Fuel Cells. Sensors 2022, 22, 750. https://doi.org/10.3390/s22030750

AMA Style

Forouzanmehr M, Reza Kashyzadeh K, Borjali A, Ivanov A, Jafarnode M, Gan T-H, Wang B, Chizari M. Detection and Analysis of Corrosion and Contact Resistance Faults of TiN and CrN Coatings on 410 Stainless Steel as Bipolar Plates in PEM Fuel Cells. Sensors. 2022; 22(3):750. https://doi.org/10.3390/s22030750

Chicago/Turabian Style

Forouzanmehr, Mohsen, Kazem Reza Kashyzadeh, Amirhossein Borjali, Anastas Ivanov, Mosayeb Jafarnode, Tat-Hean Gan, Bin Wang, and Mahmoud Chizari. 2022. "Detection and Analysis of Corrosion and Contact Resistance Faults of TiN and CrN Coatings on 410 Stainless Steel as Bipolar Plates in PEM Fuel Cells" Sensors 22, no. 3: 750. https://doi.org/10.3390/s22030750

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop