s.r. mishra

The present investigation focuses on examining the thermophysical characteristics of flow in a gap between rotating cone and circular discs utilizing hybrid nanofluids, owing to its varied applications. The enhanced thermal conductivity of nanofluids proves particularly valuable in cooling systems, diminishing energy consumption, preventing overheating, and enhancing the overall performance of electronic devices, among other benefits. The convectional flow of conductive fluid under the influence of magnetic field and thermal radiation significantly influences the flow dynamics. Moreover, the consideration of dissipative heat, including the combined effects of viscous and Joule dissipation, amplifies the flow properties. The complex nonlinear system of equations, initially presented in dimensional form, undergo transformation into a nonlinear ordinary system in non-dimensional form through the introduction of appropriate similarity rules. Various profiles are then generated using bvp4c built-in function supported in MATLAB and depicted graphically. To optimize the responsiveness of Nusselt number with respect to various factors, a robust statistical approach known as response surface methodology is employed. Statistical validation is carried out using analysis of variance through hypothetical testing.

The purpose of this study is to introduce a novel brachytherapy template called the Medanta anterior oblique‑lateral oblique template (MAOLOT), which has been designed for carcinoma cervix, and conduct its dosimetric comparison with Martinez universal perineal interstitial template (MUPIT).

Ten patients were chosen for this study with twelve intracavitary (IC) and/or interstitial (IS) applications. Plans were generated with basal points (BP), target points (TP), and inverse plan simulated annealing (IPSA) along with local graphical optimization (LGrO). Dosimetric and volumetric quantifiers including conformal index (COIN), dose non-uniformity ratio (DNR), dose homogeneity index (DHI), target dose homogeneity index (TDHI), and overdose volume index (OVI) were evaluated.

IPSA provided a better solution for DNR (range 0.25-0.48, p=0.04) in MUPIT and BP+LGrO method was appreciable (p=0.08) in OVI. Mean doses of D90, D95, and D98 of targets of LGrO plan were greater than their respective counterparts. Dose to 1cc and 2cc bladder was the highest for IPSA+LGrO plans as compared to forward optimization plans. Better COIN values were obtained for BP and TP plans with LGrO (p=0.043 (BP+LGrO), p=0.022 (TP+LGrO)). Mean EQD2 dose of 1cc and 2cc bladder was the highest for the IPSA plan as compared to other forward optimization plans.

In IC+IS application, small adjustments using LGrO improves the target coverage and reduces the normal structure dose. IPSA provides better results if plan evaluation is performed carefully. MAOLOT creates the intracavitary and interstitial dose distribution, which is comparable to MUPIT.

The present paper analyzes free convective heat and mass transfer of non-conducting micropolar fluid flow over an infinitely inclined moving porous plate in the presence of heat source and chemical reaction. Moreover, the effect of thermal radiation is also taken care of in the same study. The present investigation is relevant to the fabrication system in industries corresponding to the materials composed with high-temperature. Similarity technique is adopted with similarity variable to transform the non-dimensional form of the partial differential equations into ordinary differential equations. To get the approximate solution of these transformed complex nonlinear set of ODEs we have employed fourth order Runge–Kutta method in conjunction with shooting technique. The validation of the present result as well as critical issues is addressed in the discussion section refereeing to the previously published work as a particular case. The behavior of physical parameters governs the flow phenomena are displayed via graphs and tables.

In transport as well as manufacturing industries, the two basic aspects are heating and cooling. The use of metal or metallic oxide nanofluids has an effective cooling technique than that of conventional fluids. Therefore, the work is aimed at describing the three-dimensional MHD flow of metal and metallic oxide nanofluids past a stretching/shrinking sheet embedding with a permeable media. Further, thermal properties are enhanced by incorporating heat generation/absorption and radiative heat energy in the heat equation, enhancing the efficiency of temperature profiles. The convective boundary condition for temperature is used, which affects the temperature profile. Suitable similarity transformation is used to transform the governing equations to ordinary differential equations. The approximate analytical solution is obtained for these transformed differential equations employing the Adomian Decomposition Method (ADM). The influences of characterizing parameters are obtained and displayed via graphs, and the computation results of the heat transfer rate for various values of constraints are shown in a table. It is observed that both the momentum and energy profiles decrease with an enhance in the porosity parameter. Also, the fluid temperature decreases with an increasing thermal radiation parameter, but the opposite effect is encountered for the energy generation/absorption parameter.

A mathematical model is presented for entropy generation in transient hydromagnetic flow of an electroconductive magnetic Casson (non-Newtonian) nanofluid over a porous stretching sheet in a porous medium. The model employed is Cattaneo-Christov heat flux to simulate non-Fourier (thermal relaxation) effects. A Rosseland flux model is implemented to model radiative heat transfer. The Darcy model is employed for the porous media bulk drag effect. Momentum slip is also included to simulate non-adherence of the nanofluid at the wall. The transformed, dimensionless governing equations and boundary conditions (featuring velocity slip and convective temperature) characterizing the flow are solved with the Adomian Decomposition Method (ADM). Bejan’s entropy minimization generation method is employed. Cu-water and CuO-water nanofluids are considered. Extensive visualization of velocity, temperature, and entropy generation number profiles is presented for variation in pertinent parameters. The calculation of skin friction and local Nusselt number are also studied. The ADM computations are validated with simpler models from the literature. The solutions show that with elevation in the volume fraction of nanoparticle and Brinkman number, the entropy generation magnitudes are increased. An increase in Darcy number also upsurges the friction factor and heat transfer at the wall. Increasing volume fraction, unsteadiness, thermal radiation, velocity slip, Casson parameters, Darcy, and Biot numbers are all observed to boost temperatures. However, temperatures are reduced with increasing non-Fourier (thermal relaxation) parameter. The simulations are relevant to the high temperature manufacturing fluid dynamics of magnetic nano liquids, smart coating systems.