Showing posts with label friction factor. Show all posts
Showing posts with label friction factor. Show all posts

Saturday, 1 March 2025

Benchmarking ANN Setup Options for Trade-Off Functions of Heat Transferring Baffle Inserted Tubes | Chapter 3 | Engineering Research: Perspectives on Recent Advances Vol. 1

Artificial Neural Networks (ANNs) have been widely used for thermal analysis of heat exchangers during the last two decades. This present research uses artificial neural networks (ANNs) to determine Nusselt numbers and friction factors for nine different baffle plate-inserted tubes. MATLAB toolbox was used to search for better network configuration prediction by using commonly used multilayer feed-forward neural networks (MLFNN) with backpropagation (BP) learning algorithm with five different training functions with adaptation learning function of mean square error and TANSIG transfer function. In this research, eighteen data samples were used in a series of runs for each of nine samples of baffle-inserted tube. The uncertainties of experimental quantities were computed by using the method presented. The uncertainty calculation method used involves calculating derivatives of the desired variable with respect to individual experimental quantities and applying known uncertainties. Up to 70% of the whole experimental data was used to train the models, 15% was used to test the outputs and the remaining data points which were not used for training were used to evaluate the validity of the ANNs. The results show that the TRAINBR training function was the best model for predicting the target experimental outputs.  The study concluded that artificial neural network methodology has been successfully applied to transient forced convective heat transfer to determine the time-averaged values of Nusselt number, friction factor, entropy generation number and irreversibility distribution ratio. It is obvious that all of the training functions are in good agreement with the experimental data set but the TRAINLM training function is the best training function for the prediction of output layer parameters.

 

Author (s) Details

Ahmet Tandiroglu
Department of Mechanical Engineering Technology, Vocational High School of Erzincan, Erzincan University, Turkey.

 

Please see the book here:- https://doi.org/10.9734/bpi/erpra/v1/2702

Wednesday, 9 August 2023

Study about Optimization in Helical Grooved Tubes for Heat Transfer Enhancement Using Interdisciplinary Techniques | Chapter 7 | Research and Developments in Engineering Research Vol. 6

 In this branch, the thermal augmentation factor is examined numerically established D-optimal design and therefore the entropy study is done on the optimized arithmetic. Optimization is now a repeatedly used tool in manufacturing design. Under a certain set of variables and restraints, optimization is normally done by defining a function of an profit variable and with determining allure maximum or minimum or say, the optimized point. Efforts are in preparation to enhance the central tube, covering, or plate design in heat exchangers as well, where much study is being accomplished to maximise efficiency. The surface bettering has been energetically investigated in this regard in current decades. This sort of improving is usually dominant on television set side. In this paper, with the growth in view, the design is established interdisciplinary fields. That is, first a numerical study is acted on the helically grooved tubes to analyze the thermal augmentation factor. By comparing the deterioration-generation rates of the smooth and cut tubes, this analysis was transported. The optimum Reynolds number for that tube is the individual at which hostile entropy-production-rate is reached. Numerical results are initially legitimized with written experimental results. The chosen optimised hose is next subjected to an deterioration minimization study including the Reynolds number based on the D-optimum design for the thermal augmentation factor. The tube that has ultimate grooves, the most depth, and the minimal pitch exhibits the best depiction.  However, the optimum Reynolds number is at the point place the tube has the least deterioration generated as distinguished to the smooth tube.

Author(s) Details:

Shamoon Jamshed,
Pakistan Navy Engineering College, Karachi, Pakistan.

Please see the link here: https://stm.bookpi.org/RADER-V6/article/view/11555

Friday, 1 July 2022

Heat Transfer Augmentation using Twisted Tapes | Chapter 8 | Research Developments in Science and Technology Vol. 8

The designers of heat exchangers using passive augmentation techniques may find the current review to be helpful as it discusses recent advancements with these approaches. Several research on passive heat transfer enhancement approaches have been published in the last ten years. Methods for enhancing passive heat transfer utilise energy from the system itself rather than direct external power input, which eventually results in an increase in fluid pressure drop. Twisted tape inserts are a key method for enhancing a heat exchanger's ability to transport heat without degrading the system's performance as a whole when using the passive methodology. Heat transfer enhancement in laminar flow and heat transfer enhancement in a turbulent flow are the two main topics covered in the review that follows.


Author(s) Details:

C. K. Pardhi,
Department of Mechanical Engineering, SISTec-R, Bhopal, India.

Prashant Baredar,
Department of Mechanical Engineering, MANIT Bhopal, India.

Wednesday, 8 December 2021

Emulsions in Oil Pipeline Flow Transport | Book Publisher International

 Because crude oil is frequently produced with water from the reservoir, emulsification — the mixing of two immiscible liquids – is unavoidable in the oil business. Emulsions have a number of negative effects on the industry, including affecting flow regimes and flow behaviour, lowering crude oil quality, requiring longer retention time in separation vessels, corroding the transport system, and contaminating catalyst used in the refining process, all of which result in significant economic losses. As a result, it is critical to evaluate the creation of emulsions as well as the flow behaviour in the pipeline in order to offer the best approach for controlling the influence of emulsions. It's worth noting that the creation of emulsions via flow shear utilising a lab-scale flow apparatus has received less attention. This leads to the study's goals: first, to characterise the formation of water-in-crude-oil (W/O) emulsions formed by pipeline constriction; second, to investigate the effects of W/O emulsions on pipeline flow transport; and third, to investigate the role of turbulent energy in emulsion formation and flow transport in the pipeline system. This research enables the oil industry to develop a more effective strategy for dealing with emulsification in pipeline transportation systems. In the industry, ideal conditions are produced by combining Reynolds number and pipeline constriction types in order to obtain the lowest wall shear stress and hence reduce energy losses during oil transportation through the pipeline.


Author(s) Details

Sharul Sham Dol
Abu Dhabi University, United Arab Emirates.

View Book:- https://stm.bookpi.org/EOPFT/article/view/5056