Estimation of fouling resistance in a phosphoric acid/steam heat exchanger using inverse method

Fguiri, Ali; Marvillet, Christophe; Jeday, Mohamed Razak

doi:10.1016/j.applthermaleng.2021.116935

Cited by 42 publications

(5 citation statements)

References 32 publications

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“…However, the heat transfer coefficients on the hot and cold sides of the heat exchanger can vary over time [25]. Therefore, the uncertainty of the overall heat transfer coefficient has been calculated by the following relationship [26]:…”

Section: Methods Of Evaluating the Impact Of Scaling On The Overall E...mentioning

confidence: 99%

Influence of ultrasonic treatment on heat transfer in the heat exchanger

et al. 2022

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This paper deals with the influence of guided ultrasonic waves on heat transfer. Two piezoelectric transducers, whose structure can be vibrated at different powers and at their resonant frequency in the ultrasonic range of 27-45 kHz, were placed on the plates of a heat exchanger to inhibit the formation of a mineral deposit. These waves were set to diffuse only into the metal plates of the exchanger. During these tests, an increase in the heat transfer between the two fluids was directly observed on the continuous recording of the outlet temperature, on the calculations of the global exchange coefficient, and on the flow exchanged between the two fluids in the laminar regime. Tests are presented in this article, tests in the presence of the 45 kHz transducer, another with a 27 kHz transducer, and which combines the two have a different positioning on the exchanger. The results obtained from the ultrasonic guided waves are similar to the classical ultrasonic waves.

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Section: Methods Of Evaluating the Impact Of Scaling On The Overall E...mentioning

confidence: 99%

Influence of ultrasonic treatment on heat transfer in the heat exchanger

et al. 2022

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“…However, they are marginal in the current study based on the instrumentation specification used and measured quantities. Therefore, Quantification of uncertainties [49] in measuring parameters as a result of such errors could be a meaningful extension of the current research, a study realm which has largely been untapped in the ME community. 4.…”

Section: Current Limitations and Prospectsmentioning

confidence: 98%

Parametric investigations of wireless energy transfer using strain-mediated magnetoelectric transmitter-receiver

Kumar,

Newacheck,

Youssef

2023

Smart Mater. Struct.

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Magnetoelectric (ME) composites inherently convert magnetic energy to electrical energy and vice-versa, making them a viable technology in wireless energy transfer (WET) applications. This article focuses on identifying the optimal configuration for achieving relatively high ME power conversion efficiency in a fully ME-based transmitter/receiver composite system. Two configurations of ME composites, one in concentric composite rings and the other in layered laminate formation, have been fabricated and used alternately as transmitters and receivers. The influence of three important parameters has been experimentally studied and reported, including the effect of (1) the magnetization state of the magnetostrictive components and (2) the relative orientation of and (3) the separation distance between the transmitter and the receiver. It has been found that a higher energy conversion efficiency is obtained in a configuration where the laminated plate was used as the transmitter while the ring composites acted as the receiver. Furthermore, the location and alignment of the receiver significantly influence the output transferred power. Lastly, the distance between the transmitter and the receiver has been observed to have an exponential inverse influence on the performance of the investigated WET system. These results have been deciphered by experimentally generating horizontal and vertical magnetic field mapping around the composite systems and capacitance measurement of the piezoelectric element. Thus, this article presents a detailed study of the parameters and their influence on the performance of the ME-based WET technology, which would be extremely useful in designing and optimizing devices based on this technology.

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“…Table 1 compares approaches for simulating unstable heat transfer via porous materials. The research compares each method based on accuracy, cost, speed, and spatial and temporal precision [18]. The comparison outlines the benefits and drawbacks of each strategy for controlling heat transport processes in porous media.…”

Section: Parameters Descriptionmentioning

confidence: 99%

Enhancing unsteady heat transfer simulation in porous media through the application of convolutional neural networks

Saraireh

2024

Eng. Res. Express

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This research describes a novel technique for anticipating unstable heat transfer in porous media. Convolutional neural networks (CNNs) are used with finite volume method (FVM) and long short-term memory (LSTM) networks to accomplish this. Heat transport networks are difficult to characterise using traditional numerical methodologies owing to their nonlinearity and complexity. The proposed solution combines FVM's precise physical modelling with CNN's and LSTM's superior pattern identification and temporal analysis. This collaboration supports the suggested strategy. Heat transport dynamics simulations in porous materials are more accurate, efficient, and adaptable when employing this hybrid framework. The experimental setup focused on porous material properties and gathered and processed a large amount of data. The building's three-dimensional shape, heat transfer, and time were investigated. Temporal fluctuations were also used. Multiple indicators are used to evaluate the overall performance of the model. These criteria include convergence speed, F1 score, accuracy, precision, recall, and computational cost. In the most notable numerical results, the proposed strategy surpasses both the Finite Element and the Lattice Boltzmann methods. The presented method enabled fast convergence and reduced processing costs. These results were: accuracy (0.92), precision (0.93), recall (0.91), and F1 score (0.92). The proposed method is generalizable and adaptable, and it can address a variety of heat transport simulation problems in porous media. Unlike CNNs, which can identify significant spatial patterns, LSTM cells can only see temporal dynamics. These two components are required to show heat transfer, which is a continually changing phenomenon. Modern technology enables more complex simulations. Processing expenses are lowered, and estimations are more accurate. These two discoveries were obtained through the inquiry and methodologies. Finally, the CNN-FVM-LSTM technique simulates heat transport using complicated computer models. Predicting unusually high temperatures in porous materials may improve the model's accuracy, computational efficiency, and flexibility.

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Estimation of fouling resistance in a phosphoric acid/steam heat exchanger using inverse method

Cited by 42 publications

References 32 publications

Influence of ultrasonic treatment on heat transfer in the heat exchanger

Influence of ultrasonic treatment on heat transfer in the heat exchanger

Parametric investigations of wireless energy transfer using strain-mediated magnetoelectric transmitter-receiver

Enhancing unsteady heat transfer simulation in porous media through the application of convolutional neural networks

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