Structural and magnetic properties of BaFe12−2xCuxMnxO19hexaferrites

Mahmood, Sami H.; Ghanem, Abdelkarim A; Bsoul, Ibrahim; Awadallah, Ahmad; Maswadeh, Yazan

doi:10.1088/2053-1591/aa646c

Cited by 21 publications

(4 citation statements)

References 34 publications

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“…In these types of algorithms, learning is done by a set of input data and acceptable performance is achieved according to the predefined output characteristics. [ 16,30,31 ]…”

Section: Methodsmentioning

confidence: 99%

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Pourashraf

Shokri²,

Yousefi

et al. 2021

Advcd Theory and Sims

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Numerous studies have been performed to modify ferrites to achieve the desired magnetic properties for the intended applications. Many variables with interactions between themselves are involved in modifying these properties. This study aims to provide an accurate and effective method for predicting the magnetic properties of M‐type ferrites under the influence of involved variables. For this purpose, ferrites are synthesized by doping 17 different ions and the results of the analysis of samples form the experimental data. The support vector regression (SVR) model is selected for prediction and in order to optimize hyper parameters, genetic, particle swarm optimization, and sequential minimal optimization techniques are used. Based on the comparison between the outcomes of these algorithms, the model with the best performance is used to predict coercivity and residual magnetism in M‐type magnetic ferrites. Furthermore, with the cross validation technique, the accuracy and robustness of the model designed for new samples are evaluated. The results show that the selected SVR model, with an average absolute relative error of 2% and 0.7%, is able to predict coercivity and residual magnetism, respectively. Consequently, the prediction method presented has the capability to accelerate and develop the modification of magnetic properties for different applications.

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“…In these types of algorithms, learning is done by a set of input data and acceptable performance is achieved according to the predefined output characteristics. [ 16,30,31 ]…”

Section: Methodsmentioning

confidence: 99%

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Pourashraf

Shokri²,

Yousefi

et al. 2021

Advcd Theory and Sims

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“…(A = Ba, Sr, Pb) belongs to an important class of magnetic oxides exhibiting a wide range of interesting industrial and technological applications, including permanent magnet, magnetic recording, microwave absorption and microwave devices. [1][2][3][4][5][6][7][8][9][10] This range of applications can be facilitated by controlled tuning of the properties of BaM, which can be achieved by special substitutions for A 2+ and /or Fe 3+ ions, and by modifying the synthesis route as described by recent review articles. [11][12][13] The improvement of the characteristics of a material for permanent magnet applications involves the simultaneous increase of its coercivity and remnant magnetization.…”

Section: M-type Hexaferrite Of Chemical Formula Afe 12 O 19mentioning

confidence: 99%

Effects of pH value and Sintering Temperature on the Structural and Magnetic Properties of Barium Hexaferrites Prepared by Co-Precipitation

Al-Hwaitat

Dmour

Masadeh

et al. 2021

Mat. Sci. Res. India

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Barium hexaferrite (BaFe12O19; M-type; BaM) is an important, cost effective magnetic material for permanent magnet applications. The magnetic properties of the prepared samples, and the purity of the BaM phase depend critically on the synthesis route and experimental conditions. In this study, BaM hexaferrites were prepared by co-precipitation method using two different values of pH for the precursor solutions (11.0 and 12.5), and sintering pellets of the co-precipitates at 860, 920 and 990°C.The prepared samples were characterized using X-ray diffraction and magnetic measurements. X-ray diffraction patterns indicated that the samples prepared with pH = 12.5 consisted of a single BaM phase at all sintering temperatures. However, the patterns of the samples with pH = 11.0 did not reveal the existence of BaM at 860°C, whereasa major BaM phase (86 – 87 wt.%) was observed at 920 and 990°C with a minor α-Fe2O3 phase. The thermo magnetic curves confirmed the BaM magnetic phase in the samples. The hysteresis loops of the BaM samples showed characteristics of hard magnetic materials with relatively high saturation magnetization. Analysis of the magnetic data indicated an intrinsic coercivity Hci~ 5 kOe for all samples, and a saturation specific magnetization in the range σs = 56.0 – 66.3 emu/g, which are suitable for permanent magnet applications. The practical coercivity (HcB), residual induction (Br) and maximum energy product (BH)max of the samples with pH = 12.5 are higher than those of the samples with pH = 11.0, and the highest magnetic parameters of HcB = 1871 Oe, Br = 2384 G, and (BH)max = 8.92 kJ/m3 were observed for the sample with pH = 12.5 and sintered at 860°C.

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“…Hexaferrite materials were discovered and characterized in the early 1950s [5][6][7], and received exponentially increasing interest since then due to their practical importance [8,9]. In addition to cost effectiveness, BaM hexaferrites (BaFe 12 O 19 ) are easy to produce with a wide range of tunable magnetic properties [10][11][12], and chemical stability required for a wide range of applications [8,[13][14][15][16][17][18][19][20][21]. The magnetic properties of BaM hexaferrites can be effectively modified by different of substitutions for Ba 2+ or Fe 3+ ions.…”

Section: Introductionmentioning

confidence: 99%

Structural and magnetic properties of RE-Al substituted nanocrystalline hexaferrites (Sr_1−xRE_xAl₂Fe₁₀O₁₉)

Al-Garalleh

Mahmood

Bsoul

et al. 2020

Mater. Res. Express

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We describe the synthesis and characterization of magnetic materials with improved magnetic properties for permanent magnet applications. Sr 1−x RE x Al 2 Fe 10 O 19 (RE=La, Ce, Tb, and Dy; x=0.0 and 0.1) were prepared by ball milling and sintering at 1200°C for 6 h. The effects of (Al 3+ -RE 3+ ) substitution on the structural and magnetic properties of SrM hexaferrites were investigated by x-ray diffraction, scanning electron microscopy, and magnetic measurements at low (5 K), and high temperatures (from room temperature to above Curie temperature). The sample with x=0, and that with La substitution, consisted of a single SrM phase. The rest of the samples contained traces of secondary oxide phases, and exhibited a small reduction in lattice parameters compared with the unsubstituted SrFe 12 O 19 . The coercivity of the samples (8800H cM 9750 Oe) was more than double the standard value of the unsubstituted compound, and the Curie temperatures was >300°C for all samples. Also, the saturation magnetization (32.5-46.4 emu g −1 ) was high enough to make the overall magnetic properties of these compounds potentially important for the permanent magnet industry.

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Structural and magnetic properties of BaFe_12−2xCu_xMn_xO₁₉hexaferrites

Cited by 21 publications

References 34 publications

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Effects of pH value and Sintering Temperature on the Structural and Magnetic Properties of Barium Hexaferrites Prepared by Co-Precipitation

Structural and magnetic properties of RE-Al substituted nanocrystalline hexaferrites (Sr_1−xRE_xAl₂Fe₁₀O₁₉)

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Structural and magnetic properties of BaFe12−2xCuxMnxO19hexaferrites

Cited by 21 publications

References 34 publications

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Effects of pH value and Sintering Temperature on the Structural and Magnetic Properties of Barium Hexaferrites Prepared by Co-Precipitation

Structural and magnetic properties of RE-Al substituted nanocrystalline hexaferrites (Sr1−xRExAl2Fe10O19)

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Structural and magnetic properties of BaFe_12−2xCu_xMn_xO₁₉hexaferrites

Structural and magnetic properties of RE-Al substituted nanocrystalline hexaferrites (Sr_1−xRE_xAl₂Fe₁₀O₁₉)