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Behrouz Bagheri,Mahmoud Abbasi,Farzaneh Sharif,Amin Abdollahzadeh 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.9
A developed version of friction stir brazing (FSB) entitled friction stir vibration brazing (FSVB) was presented to fabricatelow carbon steel joint using %67wt Sn-%33wt Pb alloy as a braze metal. This attempt aims to analyze the role of mechanicalvibration and rotational speed on microstructure and mechanical behaviors of the brazed samples. Furthermore, the thermalanalysis, the thickness of intermetallic compounds (IMCs) layers, and void volume percentage at the joint interface werestudied. It was concluded that the temperature during the joining process increased and the coherency of the joint interfaceenhanced while FSVB was applied instead of FSB. In addition, the grains in the joint zone under the FSVB process weresmaller than those produced under the conventional FSB process. The results also showed that the mechanical performance,namely hardness, and shear strength increased and the thickness of the IMCs layer along with the void volume percentagein the brazed sample decreased as rotational speed increased from 850 to 1150 rpm. The results indicated that rotationalspeeds over 1150 rpm had detrimental effects on mechanical properties. This is related to the effect of high heat input andinduced temperature on brazing flow and filler-base metal interaction.
Bagheri, Mohammad Reza,Mosayebi, Masoud,Mahdian, Asghar,Keshavarzi, Ahmad 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.22 No.4
The present research study utilizes a multi-objective optimization method for Pareto optimization of an eight-degree of freedom full vehicle vibration model, adopting a non-dominated sorting genetic algorithm II (NSGA-II). In this research, a full set of ride comfort as well as ride safety parameters are considered as objective functions. These objective functions are divided in to two groups (ride comfort group and ride safety group) where the ones in one group are in conflict with those in the other. Also, in this research, a special optimizing technique and combinational method consisting of weighted sum method and Pareto optimization are applied to transform Pareto double-objective optimization to Pareto full-objective optimization which can simultaneously minimize all objectives. Using this technique, the full set of ride parameters of three dimensional vehicle model are minimizing simultaneously. In derived Pareto front, unique trade-off design points can selected which are non-dominated solutions of optimizing the weighted sum comfort parameters versus weighted sum safety parameters. The comparison of the obtained results with those reported in the literature, demonstrates the distinction and comprehensiveness of the results arrived in the present study.
Bagheri Ahmad 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.8
The mixed micellar properties of double-chained surface active ionic liquid (1, 3-didecyl-2-methylimidazolium chloride or TEGO) with two conventional cationic surfactants, dodecyltrimethylammonium bromide (DOTAB) and cetyltrimethylammonium bromide (CTAB) were investigated by using surface tension and conductivity experiments in aqueous solution at 303.15 K. TEGO is a special surface active agent with two specific critical micelle concentrations (CMC). To consider the effect of hydrophobic groups in synergism between components (surfactant and TEGO) in the mixed micelle, two cationic surfactants were selected that differed only in the length of the hydrocarbon chain (DOTAB: C12 and CTAB: C16). The experimental critical micelle concentration (CMCexp), degree of micellar dissociation (g), the ideal critical micelle concentration (CMCid), micellar mole fractions (Xm1 and Xm2) and the interaction parameter (βm) were determined by using Rubingh’s model. The achieved βm of the studied system is negative in the whole compositions denoting the synergistic interaction between components and their values increase with increasing chain lengths of surfactant from DOTAB to CTAB. The activity coefficients (fm1 and fm2) are always less than unity in all mole fractions signifying non-ideality in the mixtures. Thermodynamic functions for mixed systems were estimated. The standard Gibbs energy of micellization (ΔG0mic ) associated with transfer of surfactant monomers from the bulk phase to micelle phase was evaluated according to Zana’s model in different situations and discussed with logical points in the new approach. The results show that the effect of hydrophobicity can regulate the synergism between cationic surfactants in the same electrical charges of head groups.
177Lu-EDTMP radiation absorbed dose evaluation in man based on biodistribution data in Wistar rats
Bagheri Reza 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.1
Skeletal metastases are common in patients suffering from various primary cancers. Radiopharmaceuticals are an effective option for bone pain palliation. In this work, the radiation absorbed dose of 177Lu- EDTMP radiopharmaceutical was estimated for adult man based on biodistribution data in Wistar rats. The MIRD dose calculation method and the Sparks and Aydogan methodology were applied. The results shows that about 46% of injected activity is cumulated on the surface of the trabecular and cortical bones. Radiation absorbed doses of red bone marrow and osteogenic cells were estimated to about 1.1 and 6.2 mGy/MBq, respectively. The maximum administrated activity was obtained 27 MBq/kg of body weight with an effective dose of 0.23 mSv/MBq. The results were compared with other available data from literature. This study indicated that 177Lu-EDTMP provides therapeutic efficacy for achieving bone pain palliation with low undesired dose to other normal organs.
Analysis of genetic diversity in a collection of Plantago species: application of ISSR markers
Bagheri Motahareh,Heidari Bahram,Dadkhodaie Ali,Heidari Zahra,Daneshnia Negar,Richards Christopher M. 한국작물학회 2022 Journal of crop science and biotechnology Vol.25 No.1
The analysis of genetic diversity in medicinal plant species can greatly facilitate germplasm conservation and selection for use in breeding schemes. The aim of the present study was to assess the genetic diversity and diferentiation of eight Plantago species using inter simple sequence repeat (ISSR) markers. Thirty-one Plantago accessions belonging to eight species were collected from Iran environments. Polymorphisms in the DNA of Plantago accessions were analyzed using 25 ISSR primers. The data for 286 polymorphic bands indicated that the ISSR primers each amplifed 5–21 polymorphic amplicons that were 100–3000 bp in size. The mean polymorphism was 83.83% and fve primers showed higher polymorphism. The polymorphism information content (PIC) ranged from 0.1103 to 0.3829 with a mean of 0.2727. Accessions in P. amplexicaulis and P. pysillum represented the highest Nei’s and Shannon’s genetic diversity, while the lowest was obtained for P. lagopus. The phenetic network generated by the Neighbor-Net algorithm showed moderate confict and splitting of the eight species. Principal coordinate analysis (PCoA) results showed the separation of accessions of the eight species. The results suggest that ISSR markers can diferentiate Plantago species and that information on genetic diversity may assist in pre-breeding evaluations and Plantago germplasm conservation.
Using Hybrid Wavelet Approach and Neural Network Algorithm to Forecast Distribution Feeders
Bagheri Mehdi,Zadehbagheri Mahmoud,Kiani Mohammad Javad,Zamani Iman,Nejatian Samad 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
In this paper, using an algorithm based on the combination of data based on neural network virology and bacterial nutrition algorithm, improves the performance of the neural network prediction method. Also, the selection of two types of downstream and upstream filters in the wavelet transformation increases the predictive efficacy of neurological prediction. Based on the results, the optimized clustered neural network method has a more favorable response than the other methods. By selecting the appropriate filter and multichannel processing method, the maximum error percentage has improved by 15%. However, compared to the neural network prediction method, the proposed method has more computational volume due to the use of wavelet transform and also three times the use of neural prediction. Due to the large number of layers and used neurons, the neural network method has a much higher computational volume than the linear prediction method, where the linear prediction method has a higher error than the proposed method depending on the data used for training.