Identification of Optimum Magnetic Behavior of NanoCrystalline CmFeAl Type Heusler Alloy Powders Using Response Surface Methodology

International Conference on Advances in Materials and Manufacturing Applications 2016

Srivastava, Y.^1 ; Srivastava, S.^1 ; Boriwal, L.^2

Department of Material Science and Metallurgical Engineering, Ceramic and Powder Metallurgy Laboratory, Maulana Azad National Institute of Technology, India^1

Department of Mechanical Engineering, Maulana Azad National Institute of Technology, India^2

关键词: Heusler alloys;    Mechanically alloyed powder;    Mechano-chemical routes;    Optimization techniques;    Process parameters;    Response surface methodology;    Solid-state process;    Vibrating sample magnetometer;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/149/1/012055/pdf
DOI  :  10.1088/1757-899X/149/1/012055

来源: IOP

【 摘 要 】

Mechanical alloying is a novelistic solid state process that has received considerable attention due to many advantages over other conventional processes. In the present work, Co2FeAl healer alloy powder, prepared successfully from premix basic powders of Cobalt (Co), Iron (Fe) and Aluminum (Al) in stoichiometric of 60Co-26Fe-14Al (weight %) by novelistic mechano-chemical route. Magnetic properties of mechanically alloyed powders were characterized by vibrating sample magnetometer (VSM). 2 factor 5 level design matrix was applied to experiment process. Experimental results were used for response surface methodology. Interaction between the input process parameters and the response has been established with the help of regression analysis. Further analysis of variance technique was applied to check the adequacy of developed model and significance of process parameters. Test case study was performed with those parameters, which was not selected for main experimentation but range was same. Response surface methodology, the process parameters must be optimized to obtain improved magnetic properties. Further optimum process parameters were identified using numerical and graphical optimization techniques.