Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.

Bioceramics in orthopaedics: A review

Abstract: In the last few years, there has been a tremendous advancement in the fabrication of bioceramics. Bioceramics play a vital role in the regeneration of lost structures in skeletomuscular system. Inert bioceramics has evolved into highly advanced resorbable materials. They are suitable as bone cements, reinforcing material, and bone implants. In addition, they are utilized as a biocompatible coating material on heavy load-bearing orthopedic implants. The in vitro and in vivo biocompatibility of bioceramics was studied extensively. Much emphasis is given to the properties of bioceramics engineered through different fabrication methods. This review focuses on the different classes of bioceramics and their application in the repair of defects in skeletomuscular system. Preparation of bioceramics at the nanoscale to improve the mechanical and load-bearing properties is also discussed in this review.

Review – Micromagnetic Simulation Using OOMMF and Experimental Investigations on Nano Composite Magnets

Abstract: The main objective of this present study is to perform finite element analysis of nanocomposite magnetic materials using micromagnetic theory. Nowadays modern electric motors, wind turbines, electric generators, hybrid vehicles, electric vehicles and aircraft etc. require high performance magnets. The maximum energy product BHmax in B-H hysteresis loop decides the effectiveness of these magnets. The present rare earth magnets are considered as the best performing magnets and used in many high energy applications. A high throughput research was carried out to increase the BHmax of rare earth permanent magnets and the exchange of coupling between hard and soft phase magnetic materials i.e., materials which combine a high coercivity hard phase material with the high saturation magnetization of soft phase material. In order to understand the effect of soft phase for different particle sizes and volume distributions on behavior of nanocomposites Nd2Fe14B/α-Fe, micromagnetic FEM is used. Micromagnetic theory is the studies to understand the microstructure physical properties and to know the performance of magnetic materials at micrometer length scales. To carry out the simulations, the cubic model geometry has to be spatially discretized and need to solve Landau-Lifshitz Gilbert equation and Gibbs energy equation numerically using the finite element method. All these calculations can be carried out by any one of the open source micromagnetic simulation packages (OOMMF, Nmag, Magpar, Mumax and Fidimag). After thorough understanding about the crucial role of microstructures, a new hysteresis model will be developed and it will be compared with experimental data. The various experimental results of difference nano composite magnets is also reviewed. Further, the effect of influence of hybrid materials (hard/soft/hard, hard/soft/soft) on magnetic properties will be analyzed. Being expensive and in high demand, alternates to rare earth magnets (Neodymium) need to be explored.

Determination of closed form solution for acceptance sampling using ANN.

Abstract: Tabled sampling schemes such as MIL-STD-105D offer limited flexibility to quality control engineers in designing sampling plans to meet specific needs. We describe a closed form solution to determine the AQL indexed single sampling plan using an artificial neural network (ANN). To determine the sample size and the acceptance number, feed-forward neural networks with sigmoid neural function are trained by a back propagation algorithm for normal, tightened, and reduced inspections. From these trained ANNs, the relevant weight and bias values are obtained. The closed form solutions to determine the sampling plans are obtained using these values. Numerical examples are provided for using these closed form solutions to determine sampling plans for normal, tightened, and reduced inspections. The proposed method does not involve table look-ups or complex calculations. Sampling plan can be determined by using this method, for any required acceptable quality level and lot size. Suggestions are provided to...

Performance analysis of interleaved DC-DC boost converter for Photo-Voltaic power generation systems

Abstract: This study analyses the performance of an Interleaved DC-DC Boost Converter (IBC) for Photo-Voltaic (PV) power generation system. Renewable energy sources such as fuel cells and photovoltaic cells have received worldwide recognition in research fields. PV solar cell has started playing a vital role in energy generation. Most recent research and development on them has focused on extracting maximum amount of power. Its electrical characteristics vary with temperature and solar light intensity, which changes the location of Maximum Power Point (MPP) that yields maximum power generation. Moreover, the power generated by PV is not consistent over the full operating range. Due to these limitations, there is a need for highly efficient output power maximization. There is a renewed focus on the power electronic converters to interface them with DC energy sources to produce high power. This topology increases the efficiency of IBC, minimizes switching losses and ripples by adopting a resonant soft-switching method. This study proposes a soft-switching IBC, composed of two shunted elementary boost conversion units. The obtained results exposed that IBC has better performance characteristics than a conventional boost converter due to its increased efficiency, reduction in size and greater reliability. The Simulation studies have been carried out in MATLAB-Simulink environment.