نتایج جستجو برای: fgm laminated composites

تعداد نتایج: 52703  

2016
W Zaki V Nguyen

The paper presents an analytical model for the estimation of shear stress at the interface of adhesively bonded layers in laminated composites. For this purpose, a new shear stress function is proposed that accounts for the influence of shear lag in laminates assembled using adhesive layers of different types and thicknesses. In addition to the estimation of interfacial stress, the function can...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده مهندسی 1386

چکیده ندارد.

Journal: :Composites Science and Technology 2009

Journal: :IEEE Transactions on Electromagnetic Compatibility 1993

Journal: :Smart Materials and Structures 2013

Journal: :Composites Part A: Applied Science and Manufacturing 2007

2012
B. Ramgopal Reddy K. Ramji B. Satyanarayana

In this paper, free vibration analysis of carbon nanotube (CNT) reinforced laminated composite panels is presented. Three types of panels such as flat, concave and convex are considered for study. Numerical simulation is carried out using commercially available finite element analysis software ANSYS. Numerical homogenization is employed to calculate the effective elastic properties of randomly ...

Journal: :Material Science Research India 2023

Tribological behavior of powder metallurgically processes AlSi-MWCNT functionally graded materials was apparatus with pins on discs examined. Using a Taguchi design experiments, the signal-to-noise ratio, analysis variance, and an orthogonal array were all used to determine best testing parameters. Analysis revealed wear loss occurs due increase in load sliding distance reduced MWCNT increased ...

2009
Rafael Holdorf Lopez Marco Antônio Luersen José Eduardo Souza de Cursi

This work aims at developing a genetic algorithm (GA) to pursue the optimization of hybrid laminated composite structures. Fiber orientation (predefined ply angles), material (glass-epoxy or carbon-epoxy layer) and total number of plies are considered as design variables. The GA is chosen as an optimization tool because of its ability to deal with nonconvex, multimodal and discrete optimization...

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