Static Analysis of Functionally Gradient Material Plate with various Functions

Abstrac

A simple reproducible method of preventing lobar torsion

Torsion of remaining lobes after pulmonary resection is a potentially serious complication with high reported morbidity and mortality. A range of additional procedures has been described, we have used a simple, effective, quick and easy to reproduce minor procedure to prevents torsion

An experimental assessment of abrasive wear behavior of GNP/Carbon fiber/epoxy hybrid composites

This investigation has evaluated the wear properties of Carbon fiber-epoxy/GNP (Graphene Nanoplatelets) composites. In this research, carbon fiber and Graphene nanoplatelets (GNP) of different weight percentages of GNP (0, 0.1,0.3, and 0.5 wt.%) reinforced hybrid composites were fabricated via compression molding assist hand layup technique. An abrasive wear test has been performed using the Design of experiments. Analysis of variance (ANOVA) tables has been used to understand the effect of control parameters (wt.% of filler, normal load, and sliding distance) on response parameters (specific wear rate and friction coefficient). The control variables such as normal loads of 5, 10, 15, and 20 N and sliding distances (150, 200, 250, and 300 m) are selected for this study. It has been discovered that adding GNPs reduces the particular wear rate and friction coefficient. Scanning electron microscopy (SEM) was used to examine composites' worn surfaces. The composites with GNPs had lower weight loss, friction coefficient, and wear rate as compared to plain carbon fiber-reinforced epoxy, and these metrics decreased as the percentage of GNPs increased. The analysis concluded that experimental results are closer to optimum results

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis