Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization

Kou, Chen; Alghassab, Mohammed A.; Abed, Azher M.; Alkhalaf, Salem; Alharbi, Fawaz S.; Elmasry, Yasser; Abdullaev, Sherzod; Garalleh, Hakim AL; Tarawneh, Mou'ad A.

doi:10.1016/j.est.2024.111104

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.111104

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Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization

Chen Kou,

Mohammed A. Alghassab,

Azher M. Abed

et al.

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2024

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Cited by 2 publications

References 54 publications

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Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile

Ran,

Babiker,

Singh

et al. 2024

Case Studies in Thermal Engineering

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Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile

Ran,

Babiker,

Singh

et al. 2024

Case Studies in Thermal Engineering

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Design, Fabrication, and Testing of a Novel Thermally Actuated Tesla Valve: A Hybrid Microvalve

Lee,

Bamido,

Thyagarajan

et al. 2024

Journal of Fluids Engineering

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A novel thermally-actuated hybrid microvalve (similar to a Tesla Valve configuration) was designed, fabricated, assembled, and tested using soft lithography-based approaches. The modified design integrates the "normally open and closed" hybrid configurations of Tesla Valves with a thermo-pneumatic (or thermal-hydraulic) actuator microfabricated in-situ that modulates the diodicity of the microvalve apparatus in the microfluidic chip. Diodicity (Di) is defined as the ratio of flow rate in the forward direction to that of the reverse direction (for a constant value of pressure drop that is imposed on a microvalve device). The results from the study successfully demonstrated the operation of an array of Tesla Valves that are normally open in forward direction and marginally closed in reverse direction at room temperature (i.e., with Di > 1, the flow resistance values were different when the inlet and outlet ports were swapped). When the microfluidic chip was heated (at steady-state conditions with a nominal temperature of ~30°C), the diodicity virtually vanished (i.e., Di ≈ 1) resulting in both reverse and forward directions being normally open (or having the same flow resistance - irrespective of the flow direction).

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Modeling of hydrogen flow decompression from a storage by a two-stage Tesla valve: A hybrid approach of artificial neural network, response surface methodology, and genetic algorithm optimization

Cited by 2 publications

References 54 publications

Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile

Multi-objective optimization and artificial neural network models for enhancing the overall performance of a microchannel heat sink with fins inspired Tesla valve profile

Design, Fabrication, and Testing of a Novel Thermally Actuated Tesla Valve: A Hybrid Microvalve

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