A visual application for teaching pipe flow optimization in engineering curricula

Türkkan, Yusuf Alptekin; Türkkan, Gökçen Eryılmaz; Yılmaz, Hamid

doi:10.1002/cae.22181

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…In recent years, they investigated the improvement of listening comprehension ability in a multimedia context. With the development of multimedia technology, it provided the prerequisite for the emergence of various teaching modes [ 4 ].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] An Empirical Analysis of Audio‐Visual Teaching and Network Multi‐Modal Learning Environment Theory for English Majors

Gao

2022

Journal of Environmental and Public Health

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In order to further investigate the network multi-modal learning environment to promote students’ ability to English audio-visual effects and improve the quality of teaching effect, an empirical analysis of audio-visual teaching and network multi-modal learning environment theory for English majors was proposed in the research. The 98 students were chosen as the experiment objects from two classes in the same school. They were divided into the experiment class and the control class. The students in the experiment class were taught according to the teaching model based on network multi-modal learning environment theory. SPSS19.0 software was used to analyze the scores before and after the experiment. After 3 months of experiment teaching, the average score of the post-test of the experiment class was 13.65 points, 2.23 points higher than 11.42 points before the test. The average score of the control class was 11.08 points, 0.1 points lower than 11.18 points before the test. It could be seen that the teaching method based on a network multi-modal learning environment was more conducive to improving the audio-visual performance and the teaching effectiveness of English majors.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] An Empirical Analysis of Audio‐Visual Teaching and Network Multi‐Modal Learning Environment Theory for English Majors

Gao

2022

Journal of Environmental and Public Health

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“…The major goal of [31] is to look at the role of coding in studying and comprehending distribution systems for water. They demonstrate the construction of a scripting language C# for purposes for educating in water distribution network computations to students at the university and doctoral levels using an application named BayUni Pipe Flow.…”

Section: Educational Applicationsmentioning

confidence: 99%

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

Pizzo

Pochwat

Santos

2023

JoCEF

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A routine coded in Python aiming at a quick detection of the hydraulic behavior of a closed supply network as a function of the variation of the input data is presented. Such variables are lengths and diameters of the sections, roughness coefficients of the pipes, terrain elevations, flow distributed in the section and residual flow, and pressure at the upstream node. After a review of the literature on the subject of hydraulic supply models, the process of the fictitious sectioning point is used, so that the closed circuit network can have its behavior assimilated as that of branched network sections, and its calculation be performed as such. This arrangement is achieved by matching head losses between sections. In order to demonstrate the functionality of the routine, 12 simulations are exposed, 06 in each particular sectioning condition, with different input data and respective influences on the network operating conditions, notably, the positioning of the fictitious sectioning point and the contribution of each stretch to the residual flow node.

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“…For instance, the design and operation of water distribution networks in urban sewage systems., the heat exchanger piping system designs and the prediction of pumping power requirements, the flow regulation inside pipelines in the chemical industry, the transportation of crude petroleum in the long pipelines, the design of hydraulic lines in an aircraft, or even the biomedical equipment design such as syringe needles, pumps for various applications as well as Lab on a chip, etc. are some relevant problems that require an in-depth knowledge of fluids in general, and hydraulic losses in particular (Türkkan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Computational Solvers for Iterative Hydraulic loss Calculations in Pipe Systems

Dwivedi

Sawant

Karn

2022

JEET

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—The study of fluid mechanics spans several engineering disciplines including Mechanical, Civil, Aerospace, Chemical, Environmental, Petroleum, and Biomedical Engineering. In all these disciplines, hydraulic loss calculations in pipes are extremely important. However, the iterative nature of the solution to these engineering problems makes it intricate and cumbersome to solve. Further, it gets very difficult to visualize the solutions to such iterative problems for a wide variety of cases. The current paper aims to bridge this gap by the creation of two open-source Excel-VBA based computational solvers. The first tool corresponds to the determination of the Darcy-Weisbach friction factor through the Colebrook Equation and its visualization on a Moody's chart, which can be effectively employed by engineering instructors as an active learning tool. Second, a complete tool covering all four kinds of pipe flow situations (including the iterative problems) has been developed. The developed computational tools were employed in an undergraduate Fluid Mechanics classroom and the detailed student responses were collected on ten aspects related to teaching and learning divided broadly under four categories – 'overall rating', 'student perceptions on self-learning', 'Improvement in teaching delivery', and 'recommendation for other courses'. The data collected from student responses were subjected to statistical analysis. The results of hypothesis testing and the p-value calculations clearly justify the immense usefulness of this tool in the improvement of the overall teaching-learning process of Fluid Mechanics. Finally, the developed computational tools are being hosted free on the web for the benefit of engineering instructors, learners and professionals alike. Keywords:Pipe losses; computational tool; Fluid Mechanics; Hydraulic loss; Moody's chart; Excel VBA.

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A visual application for teaching pipe flow optimization in engineering curricula

Cited by 7 publications

References 23 publications

[Retracted] An Empirical Analysis of Audio‐Visual Teaching and Network Multi‐Modal Learning Environment Theory for English Majors

[Retracted] An Empirical Analysis of Audio‐Visual Teaching and Network Multi‐Modal Learning Environment Theory for English Majors

Python Routine for an Easy Visualization of the Influence of Supply Network Characteristics on the Hydraulic Behavior of a Small Closed Loop

Computational Solvers for Iterative Hydraulic loss Calculations in Pipe Systems

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