Conceptual study of Dhamani - A critical review

Ayurveda is been practiced in India for at least 5000 years, but in present time it is becoming more popular in whole world due to its holistic approach. Acharyas has used an anatomical term Dhamani which is on controversial term. Ayurvedic text which are Ancient works in the field of Rachana presented by Acharya Sushruta, Charaka, Vaghbhata and other. Dhamani is a structure introduced by ducts with thin wall and carry Rasa all over the body i.e. Sharira. The term Dhamani generally used in same sense as Siras and Srotas. Interpretation of these Ayurvedic terminologies is confusing in many contexts. Acharya Sushruta clearly explained the constitution of the human body and difference between Sira (vein), Dhamani (artery), Srotas (capillaries). Dhamani is a specific anatomical structure by critically reviewing all possible literature both as per Ayurveda and modern science

An Experimental and Multiphysics Based Numerical Study to Predict Automotive Fuel Tank Sloshing Noise

With significant decrease in the background noise in present day automobiles, liquid slosh noise from an automotive fuel tank is considered as a major irritant during acceleration and deceleration. All major international OEMs and their suppliers try to reduce sloshing noise by various design modifications in the fuel tank. However, most major activities reported in open literature are primarily based on performing various CAE and experimental studies in isolation. However, noise generation and its propagation is a multiphysics phenomenon, where fluid mechanics due to liquid sloshing affects structural behaviour of the fuel tank and its mountings which in turn affects noise generation and propagation. In the present study a multiphysics approach to noise generation has been used to predict liquid sloshing noise from a rectangular tank. Computational Fluid dynamics (CFD), Finite Element Analysis (FEA) and Boundary Element Method (BEM) simulation studies have been performed in a semi-coupled manner to predict noise. VOF based multiphase model along with k-ε turbulence model was used to perform the CFD studies. Sloshing Noise generated due to fluid interaction with structural walls is simulated using Vibro-acoustic model. An integrated model is developed to predict dynamic forces and vibration displacement on tank walls due to dynamic pressure loading on tank walls. Noise radiated from tank walls is modelled by Harmonic Boundary Element Method. Experimental and numerical studies have been performed to understand the mechanics of sloshing noise generation. Images from high speed video camera and noise measurement data have been used to compare with numerical models

Wet Chemical Feasible Synthesis of PPy-Nickel Oxide nanocomposites and their photocatalytic effects on Methylene Blue

In this paper, we report, the synthesis of conducting polymer nanocomposites of nickel oxide polypyrrole (NiO-PPy) doped with dodecyl benzene sulphonic acid for its application as a photocatalyst. In-situ polymerization of the pyrrole technique was employed along with oxidant ammonium persulphate and dodecyl benzene sulphonic acid as a dopant. The nanostructures were synthesized at different concentrations of NiO nanoparticles viz. 0.05 wt.%, 0.1 wt.%, 0.2 wt.% and 0.3 wt.%. The development of nanostructures was explored by Fourier Transform Infrared Spectrophotometer, Field Emission Scanning Electron Microscope, X-ray diffraction spectrometer, and electrical conductivity measurements. FTIR studies revealed a shift in the absorption band when pure PPy and NiO-PPy nanocomposites were studied, exhibiting the substantial interaction between the PPy network and the NiO. FE-SEM analysis demonstrated the consistent distribution of NiO with globular-shaped metal oxide materials in the PPy host template. The XRD studies for pure PPy revealed its amorphous nature while nanocomposites indicated the prominent NiO peaks arising from (111), (200) and (220) planes. The nanocomposites' direct electrical conductivity at room temperature was much higher than pure PPy. It was observed that the electrical conductivity for pure PPy was 0.409×10-5 S/cm while it substantially increased to 4.2×10-5 (S/cm) for 0.3% nanocomposite. The electrical studies revealed that the electrical conductivity goes on increasing with increased NiO concentration and then after a saturation point more PPy encapsulates the NiO and in turn reduces the electrical conductivity. With 50 mg of 0.3% nanocomposite, the photocatalytic degradation of the Methylene-Blue dye was 84.98%

Prediction of Sloshing Noise in Rectangular Tank

With significant decrease in the background noise in present day automobiles, liquid slosh noise from an automotive fuel tank is considered as a great irritant during acceleration and deceleration. All major international OEMs and their suppliers try to reduce sloshing noise by various design modifications in the fuel tank. However, most major activities reported in open literature are primarily based on performing various CAE and experimental studies in isolation. At the same time, noise generation and its propagation is a multiphysics phenomenon, where uid mechanics due to liquid sloshing affects structural behaviour of the fuel tank and its mountings which in turn affects noise generation and propagation. In the present study, a multiphysics approach to noise generation has been used to predict liquid sloshing noise from a rectangular tank. By taking Computational Fluid dynamics (CFD)data, Finite Element Analysis (FEA) and Boundary Element Method (BEM) simulation studies have been performed in a semi-coupled manner to predict noise. Sloshing noise generated due to uid interaction with structural walls is simulated using Vibro-acoustic model. An integrated model is developed to predict dynamic forces and vibration displacement on tank walls due to dynamic pressure loading on tank walls. Noise radiated from tank walls is modelled by Harmonic Boundary Element Method and transient Finite Element method. Experimental and numerical studies have been performed to understand the mechanics of sloshing noise generation. Images from high speed video camera and noise measurement data have been used to compare numerical result

Survey for methods to characterize the landslide caused by the heavy rainfall and earthquake

Landslides are characteristic phenomena for the element offset of the worlds surface. Substantial precipitation and tremors are the two main considerations for landslides. The appropriation of region size is the most essential quantitative parameter of landslides. Along these lines, the motivation behind this study is to describe the scale and spatial contrast of precipitation actuated as contrasted and those of quake prompted landslides. Due to successive events of precipitation and seismic tremors, mass developments are normal dangers to individuals' lives. In this paper, the elucidation of knowledge is quantified as recognition criteria. Multisource high-resolution data, for instance, a SPOT satellite picture, And Ranging (Lidar) data, and aerial ortho-photographs were utilized to build the peculiarity space for landslide investigation. Landslides were perceived by an object-oriented technique joining edge-based segmentation and a Supported Vector Machine (SVM) strategy. The characterization results are assessed in correlation with those by manual elucidation. Two cases from Malin town landslide and Uttarakhands substantial precipitation are tried. Both cases demonstrate that the object-based SVM technique is superior to a pixel-based system in grouping accuracy. DOI: 10.17762/ijritcc2321-8169.15013