Methodology for Eddy Current Losses Calculation in Linear Variable Differential Transformers (LVDTs)

Drandić, Ana; Frljić, Stjepan; Trkulja, Bojan

doi:10.3390/s23041760

Cited by 5 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These losses occur as a result of the alternating magnetic flux in the core. Their sources are magnetic hysteresis [14][15][16][17] and eddy currents [18,19]. Hysteresis losses are proportional to the surface area of the magnetic hysteresis loop in the transformer core.…”

Section: Fundamentals Of Transformer Temperature Distribution 21 Heat...mentioning

confidence: 99%

The Tools and Parameters to Consider in the Design of Power Transformer Cooling Systems

Goscinski,

Nadolny,

Nawrowski

et al. 2023

Energies

View full text Add to dashboard Cite

Transformers are the most important elements of electric power systems. Many conditions must be met for power transformers to work properly. One of them is a low operating temperature. This condition will be met if the transformer cooling system is properly designed. One of the components of a cooling system is insulating liquid. The heat transfer coefficient α of liquid determines its ability to cool the transformer. The higher its value, the more effectively the liquid transfers heat to the environment. This article describes the influence of the position of the heat source, which is usually in the windings of the transformer, on the coefficient α value of the insulating liquid. The vertical and horizontal positions of the heat source were analyzed. The coefficient α was analyzed at different points of the heat source. The tests were carried out for mineral oil and various esters. Heat transfer coefficient measurements were carried out for various surface heat loads of the heat source. It has been proven that, in the case of a horizontal heat source, the coefficient α has a value several dozen percent higher than in the case of a vertical source. It has been proven that the coefficient α has different values in different places of the heat source. Regardless of the location, the highest value of the coefficient α occurred in the lower part of the heat source.

show abstract

Section: Fundamentals Of Transformer Temperature Distribution 21 Heat...mentioning

confidence: 99%

The Tools and Parameters to Consider in the Design of Power Transformer Cooling Systems

Goscinski,

Nadolny,

Nawrowski

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Recent advances in research focuses on various aspects of stray losses within transformer tanks. These studies employ a variety of methodologies, including numerical techniques such as the finite element method, as well as analytical and experimental approaches [1][2][3][4][5][6]. In this work, stray magnetic field refers to the dispersion magnetic field that reaches the tank and core clamp, and that produces stray losses in them.…”

Section: Introductionmentioning

confidence: 99%

Analysing and Computing the Impact of Geometric Asymmetric Coils on Transformer Stray Losses

Hernandez-Robles,

Gonzalez-Ramirez,

Olivares-Galvan

et al. 2024

ASI

View full text Add to dashboard Cite

Designing and manufacturing transformers often involves variations in heights and thicknesses of windings. However, such geometric asymmetry introduces a significant impact on the magnitude of stray transformer losses. This study examines the effects of asymmetric coils on the generation of stray losses within core clamps and transformer tank walls. A model has been introduced to ascertain the dispersion magnetic field’s value at a specific distance from the coil. The analysis extends to characterising the dispersion magnetic field reaching the tank walls by using electromagnetic simulation by a finite element method. It explores strategies to diminish stray losses, including the placement of magnetic shunts as protective shields for the tank walls. It delves into the efficacy of employing a transformer shell-type configuration to mitigate the magnetic dispersion field. The findings revealed that achieving greater symmetry in transformer coils can minimise stray losses. Specifically, the incorporation of magnetic shunts has the potential to reduce additional losses by 40%, while the adoption of a shell-type configuration alone can lead to a 14% reduction. This work provides valuable insights into optimising transformer designs, contributes a user-friendly tool for estimating additional tank losses, thereby enhancing the knowledge base for transformer manufacturers.

show abstract

“…The calculation of eddy current losses in LVDTs is addressed in [11]. The authors introduce a new methodology to tackle this problem, particularly for LVDTs with an opentype core, with the aim of improving the design to obtain greater measurement accuracy.…”

Section: Introductionmentioning

confidence: 99%

Optimization of an Inductive Displacement Transducer

Mociran,

Gliga

2023

Sensors

View full text Add to dashboard Cite

This paper presents the optimization of an inductive displacement transducer or linear variable differential transformer (LVDT). The method integrates design software (SolidWorks 2023), simulation tools (COMSOL Multiphysics), and MATLAB. The optimization phase utilizes the non-dominated sorting genetic algorithm (NSGA)-II and -III to fine-tune the geometry configuration by adjusting six inner parameters corresponding to the dimension of the interior components of the LVDT, thus aiming to improve the overall performance of the device. The outcomes of this study reveal a significant achievement in LVDT enhancement. By employing the proposed methodology, the operational range of the LVDT was effectively doubled, extending it from its initial 8 (mm) to 16 (mm). This expansion in the operational range was achieved without compromising measurement accuracy, as all error values for the working range of 0–16 (mm) (NSGA-II with a maximum final relative error of 2.22% and NSGA-III with 2.44%) remained below the imposed 3% limit. This research introduces a new concept in LVDT optimization, capitalizing on the combined power of NSGA-II and NSGA-III algorithms. The integration of these advanced algorithms, along with the interconnection between design, simulation, and programming tools, distinguishes this work from conventional approaches. This study fulfilled its initial objectives and generated quantifiable results. It introduced novel internal configurations that substantially improved the LVDT’s performance. These achievements underscore the validity and potential of the proposed methodology in advancing LVDT technology, with promising implications for a wide range of engineering applications.

show abstract

Methodology for Eddy Current Losses Calculation in Linear Variable Differential Transformers (LVDTs)

Cited by 5 publications

References 28 publications

The Tools and Parameters to Consider in the Design of Power Transformer Cooling Systems

The Tools and Parameters to Consider in the Design of Power Transformer Cooling Systems

Analysing and Computing the Impact of Geometric Asymmetric Coils on Transformer Stray Losses

Optimization of an Inductive Displacement Transducer

Contact Info

Product

Resources

About