Characterization and prediction of micro channel depth of ultra-thin bipolar plates for PEMFCs

Talebi-Ghadikolaee, Hossein; Elyasi, Majid; Seddighi, Shahaboddin; Khatir, Farzad Ahmadi; Modanloo, Vahid

doi:10.1016/j.jer.2024.01.027

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Furthermore, there are different processing techniques that can produce metal BPs, for example, hot-stamping process technology [ 25 , 26 ], ultrasonic-assisted vibration stamping technology [ 27 ], the rubber pad forming process [ 28 ], hollow embossing rolling [ 29 ], and hydraulic forming. Modanloo et al experimentally studied the influence of forming temperature and velocity on the formability of hot-stamping BP titanium alloy.…”

Section: Introductionmentioning

confidence: 99%

“…The duration of the “Blaha effect” is 1.5 s, and the depth of the microchannel is increased by about 62 μm compared to that without ultrasonic vibration [ 27 ]. Talebi-Ghadikolaee et al investigated the forming method of the rubber pad forming process for ultra-thin BPs made of SS316L stainless steel with a thickness of 0.1 mm, determining the appropriate channel depth and studying the molding process function of rubber pads [ 28 ]. Reuther et al suggested that hollow embossing rolling is a promising metal BP forming technology and its finite element simulation method was studied.…”

Section: Introductionmentioning

confidence: 99%

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Investigation into the Three-Stage Formation of Micro-Channels with Ultra-Thin Titanium Sheets Used for Proton-Exchange Membrane Fuel Cell Bipolar Plates

Xie,

Fang,

Wang

et al. 2024

Materials

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Titanium has a low density and high corrosion resistance. In order to achieve the goal of a lightweight material, and to extend the normal working hour of proton-exchange membrane fuel cells (PEMFCs), ultra-thin titanium plates were chosen to manufacture the key components—bipolar plates (BPs). For the purpose of overcoming the challenges of manufacturing with a large depth to width ratio, a multi-stage formation process was established with characteristics such as high efficiency and a lower price. In this study, the process parameters were examined through an experimental approach. The outcomes show that the channel formed by multistage forming is deeper than that formed by single-stage forming under the same displacement conditions. To achieve greater flow depths, it is recommended to increase the displacements as much as possible during both the first- and second-stage forming processes. The implementation of three-stage forming can effectively reduce the maximum thinning rates within flow channels while improving the overall deformation uniformity. This method deviates from traditional one-stage loading processes by adopting multi-stage loading instead. By employing appropriate mold designs, material deformation and flow can be enhanced throughout gradual loading processes, thereby preventing strain concentration and enhancing the ultimate formation height accuracy within micro-flow channels. Consequently, the proposed three-stage forming process proves highly appropriate for the mass production of BPs utilizing titanium plates.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation into the Three-Stage Formation of Micro-Channels with Ultra-Thin Titanium Sheets Used for Proton-Exchange Membrane Fuel Cell Bipolar Plates

Xie,

Fang,

Wang

et al. 2024

Materials

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Predictive modeling of spring-back in pre-punched sheet roll forming using machine learning

Zeinolabedin-Beygi,

Naeini,

Talebi-Ghadikolaee

et al. 2024

The Journal of Strain Analysis for Engineering Design

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This study outlines an experimental and computational endeavor aimed at developing a machine learning model to estimate spring-back values utilizing the decision tree methodology. A design of experiment approach was employed to collect a dataset, and based on the experimental results, a precise model was constructed to predict spring-back values. The model considered parameters such as thickness, diameter of circle hole, distance between the center hole and flange edge, and hole spacing. Various hyper parameters, including max depth and minimum samples for split, were explored, with configurations such as (30,5), (20,8), and (10,2) being evaluated to identify the optimal model for spring-back prediction. Analysis of the results demonstrated that the decision tree models accurately estimated spring-back values in cold roll forming of pre-punched sheets based on the input parameters. The coefficient of determination in the test section for decision tree models with parameters (30,5), (20,8), and (10,2) was found to be 0.90, 0.98, and 0.96, respectively. Additionally, the percentage of absolute error in the test section for the same decision tree models was calculated as 8.84%, 6.18%, and 7.6%, respectively.

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Characterization and prediction of micro channel depth of ultra-thin bipolar plates for PEMFCs

Cited by 2 publications

References 26 publications

Investigation into the Three-Stage Formation of Micro-Channels with Ultra-Thin Titanium Sheets Used for Proton-Exchange Membrane Fuel Cell Bipolar Plates

Investigation into the Three-Stage Formation of Micro-Channels with Ultra-Thin Titanium Sheets Used for Proton-Exchange Membrane Fuel Cell Bipolar Plates

Predictive modeling of spring-back in pre-punched sheet roll forming using machine learning

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