Magnetized Darcy-Forchheimer Stagnation Point Flow of Micropolar Ferrosoferric Oxide Fluid with Velocity Slip and Convective Boundary Condition

M. Ijaz Khan,Seifedine Kadry,Yu-Ming Chu,El Mostafa Kalmoun,Zulfiqar Ali 한국자기학회 2020 Journal of Magnetics Vol.25 No.2

The present communication develops the governing expressions that describe a steady incompressible two-dimensional flow of micropolar Ferrosoferric Oxide fluid towards a stretched surface under the impact of Lorentz force (magnetic field). Ferrofluids are made out of nanoscale ferromagnetic materials suspended in a base fluid (oil, kerosene, water). The distinction between the magnetorheological fluids (MRF) and ferrofluids (FF) is the size of the materials. The materials in a ferrofluid fundamentally comprise of nanomaterials, which are suspended by Brownian diffusion and generally under normal conditions will not settle. Here, Ferrosoferric Oxide (Fe₃O₄) is considered as nanoparticle and water as a base fluid. The governing equations are modeled by using Tiwari-Das nanofluid model with the help of appropriate similarity transformations. Furthermore, radiative heat flux and convective boundary condition is accounted. The numerical results of the governing equations are obtained through implementation of Built-in-Shooting technique. The impact of radiation parameter, stretching ratio parameter, magnetic parameter, thermal Biot number, micro-rotation parameter, velocity slip parameter and Darcy-Forchheimer number on the flow velocity and temperature are revealed graphically and discussed. The engineering curiosity like skin friction and Nusselt number are computationally computed and tabulated.

Binary chemical reaction with activation energy in rotating flow subject to nonlinear heat flux and heat source/sink

M. Ijaz Khan,Tehreem Nasir,T. Hayat,Niaz B. Khan,A. Alsaedi 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.3

Time-dependent rotating flow in presence of heat source/sink, applied magnetic field, Joule heating, thermal radiation, and viscous dissipation is considered. Chemical reaction with Arrhenius activation energy is implemented. The governing partial differential equations have been reduced to ordinary differential systems. Shooting scheme is implemented for the computations of governing systems. Graphical results are arranged for velocity, temperature, and concentration, skin friction coefficients, and heat and mass transfer rates. Main results are mentioned in conclusion portion. It is analyzed that velocity decays in the presence of magnetic variable while temperature and concentration fields are enhanced via Eckert number and fitted rate constant. Moreover drag force and mass and heat transfer rates decrease through higher estimations of rotation rate variable, magnetic parameter, and Eckert number.

Theoretical Investigations of Entropy Optimization in Electro-Magneto Nonlinear Mixed Convective Second Order Slip Flow

M. Ijaz Khan,Sumaira Qayyum,S. Kadry,W. A. Khan,S. Z. Abbas 한국자기학회 2020 Journal of Magnetics Vol.25 No.1

Here nonlinear mixed convective entropy based nanofluid second order slip flow of magnetic and electric field is addressed. Both electric and magnetic field is considered for the problem formulation and the flow is generated by a stretched surface. Important slip factors, i.e., Brownian and thermophoresis diffusions are accounted. Total entropy rate subject to four types of irreversibilities (i) heat transfer (ii) chemical reaction (iii) fluid friction (iv) Joule or Ohmic heating is obtained through second law of thermodynamics. Thermal radiation, heat generation/absorption, dissipation, Brownian motion, Joule or Ohmic heating and thermophoresis effects are considered in the development of the energy equation. Activation energy to undergo the physical transportation or chemical transformation of atoms or molecules is further considered in the analysis of concentration. Firstly ordinary differential system is found, then numerically solved for flow field, entropy generation, concentration, temperature, skin friction, Nusselt number, Bejan number and Sherwood number through built-in- Shooting method.

Bioconversion of Paeoniflorin to β-genitobiosylpaeonifoprin using Glycosyltransferase EpsD

Hasnat ijaz KHAN,So Young PARK,Jui CHAKMA,Jong Min LEE 한국생물공학회 2023 한국생물공학회 학술대회 Vol.2023 No.10

Implication of Magneto-hydrodynamics and Melting Heat Transfer in Cubic Autocatalytic Reactive Flow with Entropy Generation

Sohail A. Khan,M. Ijaz Khan,Sami Ullah Khan,M. Y. Malik,A. Ghareeb 한국자기학회 2021 Journal of Magnetics Vol.26 No.3

The theme of this article is to investigate hydrodynamic flow of an incompressible second grade nanoliquid by a curved stretched sheet. Energy expression is developed through dissipation and Joule heating. Brownian and thermophoresis diffusion are also scrutinized. Physical feature of entropy generation is discussed. Isothermal cubic autocatalytic chemical reactions are discussed. Suitable transformations are used to develop the ordinary differential system. To develop a convergent series solution we employed the Optimal Homotopy Analysis Technique (OHAM). Graphical description of velocity, entropy generation, temperature distribution and concentration versus sundry parameters are discussed. An opposite behavior in velocity field is noted for magnetic and curvature parameters. Temperature distribution and velocity field have reverse trends for melting parameter. An augmentation in temperature is observed for radiation parameter. Larger magnetic variable lead to improve the entropy generation. Entropy optimization is boosted versus higher magnetic parameter.

Attitude Control of Quadcopter Using Adaptive Neuro Fuzzy Control

Asif Sajjad Khan Anjum,Rana Ali Sufian,Zain Abbas,Ijaz Mansoor Qureshi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4

This research contains the simulation and designing of Quadcopter using Adaptive Neuro Fuzzy Controller to control the altitude of quadcopter and obstacle detection. Now a day’s advancement in technology has made it possible to develop low power and lightweight with accurate sensors which are used with controllers for controlling, which have high processing power but small power consumption. This has been allowed for the development of complex and difficult control systems that can be implemented onboard UAV. With this combination of high precision and light weight, real-time onboard navigation or guidance and autonomous flights are now practical. This research work used a Fuzzy controller to control the pitch angle of quadcopter and avoiding obstacles. The fuzzy controller receives the sensory data and adjust the pitch accordingly until unless it finds the clear path. For detecting obstacles the IR sensors are used. For designing a fuzzy inference system used Sugeno model and used mat lab commands to design ANFIS as we have another method for designing by using a Simulink as well. ANFIS designed is based on kinematics and dynamics equation of quadcopter that will be able to control the pitch of quadcopter. Simulations results in mat lab show that by using ANFIS the performance of Quadcopter will be improved significantly.

RNA-Seq explores the functional role of the fibroblast growth factor 10 gene in bovine adipocytes differentiation

Kaster Nurgulsim,Khan Rajwali,Ahmad Ijaz,Zhigerbayevich Kazhgaliyev Nurlybay,Seisembay Imbay,Nurbolat Akhmetbekov,Hamitovna Shaikenova Kymbat,Mirambekovna Omarova Karlygash,Bekbolatovna Makhanbeto 아세아·태평양축산학회 2024 Animal Bioscience Vol.37 No.5

Objective: The present study was executed to explore the molecular mechanism of fibroblast growth factor 10 (FGF10) gene in bovine adipogenesis. Methods: The bovine FGF10 gene was overexpressed through Ad-FGF10 or inhibited through siFGF10 and their negative control (NC) in bovine adipocytes, and the multiplicity of infection, transfection efficiency, interference efficiency were evaluated through quantitative real-time polymerase chain reaction, western blotting and fluorescence microscopy. The lipid droplets, triglycerides (TG) content and the expression levels of adipogenic marker genes were measured during preadipocytes differentiation. The differentially expressed genes were explored through deep RNA sequencing. Results: The highest mRNA level was found in omasum, subcutaneous fat, and intramuscular fat. Moreover, the highest mRNA level was found in adipocytes at day 4 of differentiation. The results of red-oil o staining showed that overexpression (Ad-FGF10) of the FGF10 gene significantly (p<0.05) reduced the lipid droplets and TG content, and their downregulation (siFGF10) increased the measurement of lipid droplets and TG in differentiated bovine adipocytes. Furthermore, the overexpression of the FGF10 gene down regulated the mRNA levels of adipogenic marker genes such as CCAAT enhancer binding protein alpha (C/EBPα), fatty acid binding protein (FABP4), peroxisome proliferator-activated receptor-γ (PPARγ), lipoprotein lipase (LPL), and Fas cell surface death receptor (FAS), similarly, down-regulation of the FGF10 gene enriched the mRNA levels of C/EBPα, PPARγ, FABP4, and LPL genes (p<0.01). Additionally, the protein levels of PPARγ and FABP4 were reduced (p<0.05) in adipocytes infected with Ad-FGF10 gene and enriched in adipocytes transfected with siFGF10. Moreover, a total of 1,774 differentially expressed genes (DEGs) including 157 up regulated and 1,617 down regulated genes were explored in adipocytes infected with Ad-FGF10 or Ad-NC through deep RNA-sequencing. The top Kyoto encyclopedia of genes and genomes pathways regulated through DEGs were the PPAR signaling pathway, cell cycle, base excision repair, DNA replication, apoptosis, and regulation of lipolysis in adipocytes. Conclusion: Therefore, we can conclude that the FGF10 gene is a negative regulator of bovine adipogenesis and could be used as a candidate gene in marker-assisted selection.

Dynamic Estimation in GPS through Covariance Compensation Extended Kalman Filter

U.Z. Ijaz,J.H. Kim,F. A. Khan,W.C. Song,Y.B. Choi,K. Y. Kim 대한전자공학회 2005 ITC-CSCC :International Technical Conference on Ci Vol.2005 No.2

Bank Competition, Financial Development and Growth of Financially Dependent Industries: Fresh Evidence from China

Habib Hussain Khan,Abdul Ghafoor,Fiza Qureshi,Ijaz Ur Rehman 연세대학교 동서문제연구원 2018 Global economic review Vol.47 No.2

We empirically examine the role of the banking market structure and financial development for the growth of manufacturing and the financially dependent industries in China over the period of 1999–2014. We use both structural and non-structural approaches to assess the banking market structure and relate them to the growth of the manufacturing industries. The results of the study indicate that bank competition inspires industrial growth, particularly the growth of the financially dependent industries. Our findings further suggest that bank concentration undermines the growth of manufacturing industries in general and growth of the financially dependent industries in particular. These results are consistent across a number of sensitivity checks covering alternative measures of financial dependence, institutional factors such as property rights, quality of accounting standards and bank ownership and endogeneity consideration.

Comparative Work for Darcy-Forchheimer Hybrid Nanofluid Flow Subject to Zinc Ferrite, Nickle Zinc Ferrite

Faris Alzahrani,M. Ijaz Khan 한국자기학회 2021 Journal of Magnetics Vol.26 No.3

Owing to thermal requirements of many industrial and engineering processes, this research presents the improved feature of hybrid nanofluid with applications heat source and sinks features. The most fascinating Zinc ferrite and Nickle Zinc ferrite nanoparticles are used to predict the thermal enhancement in engine oil and Kerosene oil base materials. The radiative phenomenon with nonlinear relations is encountered to enhance the heat transportation pattern. Moreover, the entropy generation assessment is also observed with significances of optimized analysis. The consideration of porous space is inspected by using the Darcy-Forchheimer theory. A comprehensive comparative analysis for enchantment of heat transfer rate is examined between both types of nanoparticles. The physical influence of parameters for velocity, thermal gradient and entropy generation phenomenon is visualized. It is observed that thermal efficiency of ferrite nanoparticles (MnZnFe₂O₄) with suspension of engine oil (C8H18) base liquid is more progressive as compared to the suspensions of ferrite nanoparticles and kerosene oil (C10H22) hybrid material.