Volume 18, Issue 1 (March 2021)
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Reseach Highlights:
- By mechanical alloying of copper and various alloying elements with different percentages, it is possible to produce nanostructured Cu alloys with nanometer-scale particle size.
- The higher percentage of Al, Al2O3, Cr, and Ti lead to smaller particle sizes. Cu-6wt%Al (38 nm) and Cu-1wt%Al2O3 (954 nm) had the smallest and largest particle size, respectively.
- Titanium, and alumina, had the highest and lowest effects on micro-hardness enhancement, respectively.
- The electrical resistance grew by increasing the amount of the second phase. Cu-1wt%Al and Cu-6wt%Al2O3 had the highest and lowest electrical conductivity, respectively.
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- Synthesis of CoFe2O4 and CuFe2O4 composited with hematite by impregnation method
- Characterized and by FTIR, XRF, XRD, FESEM, BET, EDS UV-vis, and AAS methods.
- The size of particles was in the nano scale and a good uniformity in the structure.
- Increase in the catalytic ability of hematite nano composites after synthesis
- Catalytic capability investigated by the Fenton reaction with complete removal of methylene blue.
- The samples stability discovered to be excellent by the AAS method.
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- Finite element analysis has been carried out to investigate the effect of various parameters on axisymmetric extrusion process using aluminum alloy.
- Higher will be the coefficient of friction between interacting surfaces of die-billet assembly, more will be the increment in nodal temperature in billet.
- Higher will be the coefficient of friction, higher will be the generation of heat flux within billet, as this is achieved for highest coefficient of friction.
- Peak nodal temperature diminishes with increase in die profile radius nearly by 17 %.
- Maximum heat flux diminishes non-linearly by 30% with increase in die profile radius.
- Validation of present numerical model is established on the basis of deformation behavior in terms of evolution of nodal temperature distribution upon comparison with previous studies available in literature.
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- The predictions of the model are confirmed with high validity for both samarium and lutetium extraction with almost 97 and 98%, respectively.
- The optimum conditions for samarium and lutetium differentiation were identified as:
