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Artificial Neural Networks for Hardness Prediction of HAZ with Chemical Composition and Tensile Test of X70 Pipeline Steels

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Journal of Iron and Steel Research International 2015年第5期22卷 446-450页

作者： hesam pouraliakbar Mohammad-javad KHALAJ Mohsen NAZERFAKHARI Gholamreza KHALAJ Department of Advanced Materials World Tech Scientific Research Center(WT-SRC) Iranian Welding Research and Engineering Center(IWREC) University of Applied Science and Technology Young Researchers and Elites Club Saveh BranchIslamic Azad University Department of Materials Engineering Saveh BranchIslamic Azad University

A neural network with feed-forward topology and back propagation algorithm was used to predict the effects of chemical composition and tensile test parameters on hardness of heat affected zone （HAZ） in X70 pipeline steels. The mass percent of chemical compositions （i. e. carbon equivalent based upon the International Institute of Welding equation （CEIIw）, the carbon equivalent based upon the chemical portion of the ho-Bessyo carbon equivalent equation （CEecm）, the sum of the niobium, vanadium and titanium concentrations （CvTaNb）, the sum of the niobium and vanadium concentrations （CNbv）, the sum of the chromium, molybdenum, nickel and copper concentrations （CcrMoNiCu））, yield strength （YS） at 0. 005 offset, ultimate tensile strength （UTS） and percent elongation （El） were considered as input parameters to the network, while Vickers microhardness with 10 N load was considered as its output. For the purpose of constructing this model, 104 different data were gathered from the experimental re- ***. Scatter diagrams and two statistical criteria, i.e. absolute fraction of variance （R2 ） and mean relative error （MRE）, were used to evaluate the prediction performance of the developed model. The developed model can be fur- ther used in practical applications of alloy and thermo-mechanical schedule design in manufacturing process of pipe line steels.

关键词： artificial neural network chemical composition microalloyed steel mechanical property API X70 steel

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Empirical model to predict mass gain of cobalt electroless deposition on ceramic particles using response surface methodology

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Rare Metals 2017年第3期36卷 209-219页

作者： Akbar Heidarzadeh Reza Taherzadeh Mousavian Rasoul Azari Khosroshahi Yalda A.Afkham hesam pouraliakbar Faculty of Engineering Azarbaijan Shahid Madani UniversityTabriz 7200-000Iran Department of Materials Engineering Sahand University of TechnologyTabriz 65175-4171Iran Department of Advanced Materials WorldTech Scientific Research Center(WT-SRC)Tehran 71857-3834Iran

This investigation was undertaken to predict the mass gain （MG） of cobalt electroless deposition （ED） on ceramic SiC *** surface methodology （RSM） based on a full factorial design with three ED parameters and 30 runs was used to conduct the experiments and to establish a mathematical model by means of Design-Expert *** ED parameters considered were pH,bath temperature and ceramic particle *** of variance was applied to validate the predicted *** results of confirmation analysis by scanning electron microscopy （SEM） show that the developed models are reasonably *** pH is the most effective parameter for the ***,the highest mass gain is obtained for the lowest pH,highest bath temperatures and heat-treated SiC *** addition,the developed model shows that the optimal parameters to get a maximum value of mass gain are pH,bath temperature and ceramic particle state of 8,70 ℃ and heat treatment,respectively.

关键词： Electroless deposition Cobalt SiC particles Mathematical model Response surface method

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Effects of heat treatment on the intermetallic compounds and mechanical properties of the stainless steel 321–aluminum 1230 explosive-welding interface

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International Journal of Minerals,Metallurgy and Materials 2017年第11期24卷 1267-1277页

作者： Mohammadreza Khanzadeh Gharah Shiran Gholamreza Khalaj hesam pouraliakbar Mohamma dreza Jandaghi Hamid Bakhtiari Masoud Shirazi Center for Advanced Engineering Research Majlesi Branch Islamic Azad University Isfahan *** Iran Young Researchers and Elite Club Saveh Branch Islamic Azad University Saveh *** Iran Young Researchers and Elite Club Science and Research Branch Islamic Azad University Tehran *** Iran Advanced Materials Research Center Faculty of Materials Engineering Najafabad Branch Islamic Azad University Najafabad *** Iran

The effects of heat treatment on the microstructure and mechanical properties of intermetallic compounds in the interface of stainless steel 321 explosively bonded to aluminum 1230 were investigated in this study. Experimental investigations were performed by optical microscopy, scanning electron microscopy, and microhardness and shear tensile strength testing. Prior to heat treatment, increasing the stand-off distance between samples from 1 to 2.5 mm caused their interface to become wavy and the thickness of intermetallic layers to increase from 3.5 to 102.3 μm. The microhardness increased from HV 766 in the sample prepared at a stand-off distance of 1 mm to HV 927 in the sample prepared at a stand-off distance of 2.5 mm; in addition, the sample strength increased from 103.2 to 214.5 MPa. Heat treatment at 450°C for 6 h increased the thickness of intermetallic compound layers to 4.4 and 118.5 μm in the samples prepared at stand-off distances of 1 and 2.5 mm, respectively. These results indicated that increasing the duration and temperature of heat treatment decreased the microhardness and strength of the interface of explosively welded stainless steel 321-Al 1230 and increased the thickness of the intermetallic region.

关键词： intermetallic compounds explosive welding heat treatment stand-off distance mechanical properties

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