Effect of applied tensile stress on the hysteresis curve and magnetic domain structure of grain-oriented transverse Fe-3%Si steel

Perevertov, O.; Thielsch, Juliane; Schäfer, Rudolf

doi:10.1016/j.jmmm.2015.03.040

Cited by 54 publications

(12 citation statements)

References 16 publications

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“…Tension is regarded as the external stress of the cold-rolled steel strips. When the strip is subjected to external stress, the internal stress of the strip will also change, which affects the magnetic domain movement during the magnetization process [ 7 , 8 , 9 , 10 , 11 , 12 ]. Figure 4 depicts the variation of some characteristics with the change of external stress.…”

Section: Influence Factors Analysismentioning

confidence: 99%

“…Micro-magnetic NDT technologies, used to characterize the micro-structure [ 2 , 3 , 4 , 5 , 6 ] and stress state of ferromagnetic materials [ 7 , 8 , 9 , 10 , 11 , 12 ], are based on different magnetization principles [ 1 , 2 , 3 , 13 , 14 , 15 ]. They were first proposed in 1955 and have attracted wide attention since [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

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Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies

2022

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Multiple micro-magnetic non-destructive testing (NDT) technologies are suitable candidates for predicting the mechanical properties of cold-rolled steel strips. In this work, based on magnetic domain dynamics behavior and magnetization theory, the correlation between electromagnetic characteristics extracted by multiple micro-magnetic NDT technologies and the influence factors was investigated. It was found that temperature and tension can subsequently affect the electromagnetic parameters by altering the domain structure and domain walls’ motion properties. Pearson’s correlation coefficients were employed to reflect the dependence of micromagnetic characteristics on influencing factors. The lift-off was determined as the largest influence factor among influence factors. A pseudo-static detection was reached by polynomial fitting, which could eliminate the influence of lift-off on the detection results. The number of training models was optimized, and the detection accuracy was improved via the improved Generalized Regression Neural Network (GRNN) model, based on the Gaussian Mixture Clustering (GMC) algorithm.

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Section: Influence Factors Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies

2022

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“…Models and numerical simulations have already been developed for multiphysics problems in piezoelectric, magnetostrictive, and piezomagnetic materials in the case of small deformations [13,14,15,16,17,18,19]. Theoretical models have also been developed for thermomechanical and electromagneto-thermomechanical problems in the case of large mechanical deforma-tions [20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of nonlinear electro-thermo-mechanical continua with application to shape memory polymeric medical devices

Niyonzima

Jiao

Fish

2019

Computer Methods in Applied Mechanics and Engineering

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Shape memory materials have gained considerable attention thanks to their ability to change physical properties when subjected to external stimuli such as temperature, pH, humidity, electromagnetic fields, etc. These materials are increasingly used for a large number of biomedical applications. For applications inside the human body, contactless control can be achieved by the addition of electric and/or magnetic particles that can react to electromagnetic fields, thus leading to a composite biomaterial. The difficulty of developing accurate numerical models for smart materials results from their multiscale nature and from the multiphysics coupling of involved phenomena. This coupling involves electromagnetic, thermal and mechanical problems. This paper contributes to the multiphysics modeling of a shape memory polymer material used as a medical stent. The stent is excited by electromagnetic fields produced by a coil which can be wrapped around a failing organ. In this paper we develop large deformation formulations for the coupled electro-thermo-mechanical problem using the electric potential to solve the electric problem. The formulations are then discretized and solved using the finite element method. Results are validated by comparison with results in the literature.The increase of life expectancy creates a need to maintain the functions of 2 aging organs to allow greater independence for the elderly. Biomaterial implants 3 have the potential to fulfill some of these functions. The total number of im-4 plants in the world exceeds four hundred million per year and grows every year 5 [1]. Biomaterials are also increasingly used for a large number of biomedical ap-6 plications such as the prevention and cure of coronary heart disease and stroke, 7 as well as ophthalmological applications, biosensors and drug delivery systems 8 [2, 3]. They have the potential to contribute to the reduction of the cost of 9 health and the improvment of the life conditions. 10 Among biomaterials, shape memory materials have gained considerable at-11 tention in the biomedical community thanks to their ability to change physical 12 properties (morphing, structural rigidity, refractive index, etc.) when subjected 13to external stimuli such as temperature, pH, humidity, electromagnetic fields, 14 etc. This special behavior results from the the shape memory effect observed 15 in shape memory materials [4]. They are used in minimally invasive surgery as 16 embolic devices to treat aneurysm [5, 6] and as vascular stents [7, 8, 9]. Fig-17 ure 1 illustrate the deployment of a stent in a blood vessel. They can also be 18 used as portable sensors to monitor heart and respiratory rates and in con-19 trolled drug delivery systems thus allowing to reduce the side effects of drugs 20 [11, 12]. For these different uses, biomaterials must possess a number of prop-21 erties. They must be biocompatible to avoid toxicity in contact with biological 22 tissues. Biodegradability is a desirable property for temporary implants, and 23 for minimally invasiv...

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“…Bölge) de, malzemedeki manyetik moment yönelimini ve dolayısıyla anizotropi kuvvetlerinden kaynaklanacak zorlanmayı nitel olarak belli etse de, nicel bir tanımlama için gerekli olan argümanlar elde edilemez [5]. Bu argümanlardan bazıları, pozitif ya da negatif gerilme etkileri [6], kesme sonucu oluşan saçaklanma ve gerilme etkisi [7], manyetik momentlerden kaynaklanan içyapıda ve yüzeydeki sapmalar [4] ve grain boyutlarındaki farklılaşmalardır [8]. Öte yandan bölgede bulunan çivi-benzeri tamamlayıcı (supplementary) domainler (TD) de gözlenmiştir.…”

Section: Introductionunclassified

Silisyum alaşımlı çeliklerde indüklenen anizotropinin manyetik domain yapısına göre incelenmesi

Güneş¹

2018

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Bu çalışmada grainleri yönlendirilmiş Fe-%3-Si transformatör çeliklerinde, dışarıdan uygulanan manyetik alan yoluyla malzemenin içinde uyarılan anizotropi enerjisi, yüzey domainleri vasıtasıyla incelenmiştir. Malzemenin yüzeyindeki bar tipi ve çivi-benzeri manyetik domainler, manyeto-optik Kerr mikroskobuyla görüntülenmiştir. Ayrıca, standart Epstein geometrisine sahip numunelerde, seçili bölgedeki grainlerin kristal yönelimleri, EBSD analiziyle araştırılmış ve Kerr görüntüleriyle karşılaştırılmıştır. Öte yandan, ANSYS benzeşim programıyla kare tipi bir transformatör çekirdeğinin eklem bölgelerinde, indüklenmiş anizotropiye bağlı akı dağılımındaki bozulmalar simüle edilmiştir. Böylelikle, enine manyetik alan etkisi altında, yüzey domainlerin vereceği tepkiler ile çeliklerdeki güç kayıpları arasında orantısal bir bağ bulunmuştur. Bir elektrik çeliği ve bu çelikten oluşturulmuş bir transformatör çekirdeğinde oluşan güç kayıplarının bileşenleri, bu orantısal bağ ile hem teorik hem de deneysel olarak karşılaştırılmıştır.

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Effect of applied tensile stress on the hysteresis curve and magnetic domain structure of grain-oriented transverse Fe-3%Si steel

Cited by 54 publications

References 16 publications

Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies

Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies

Modeling and simulation of nonlinear electro-thermo-mechanical continua with application to shape memory polymeric medical devices

Silisyum alaşımlı çeliklerde indüklenen anizotropinin manyetik domain yapısına göre incelenmesi

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