Search results

Helal1,2,a*, Fengchun Jiang1,b, Dongyan Shi3,c, Diaa El Din Fouad1,d, Mohamed Osman4,e 1College of Material Science & Chemical Eng., Harbin Engineering University, Harbin, 150001, P.R China 2Department of Mechanical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, 33156, Egypt 3College of Mechanical & Electrical Eng., Harbin Engineering University, Harbin, 150001, P.R China 4Department of Material Science & Tech., Military Technical College, Kobry El-Kobba, Cairo, Egypt aDr_waseemhelal@eng.kfs.edu.eg, bFengchunjiang@hrbeu.edu.cn, cshidongyan@hrbeu.edu.cn, dchemist_diaa2007@yahoo.com, eosman_badie@mtc.edu.eg Keywords: Endodontic prefabricated post, Endodontically treated teeth, Finite element analysis, Optimization Abstract.
The authors would like to thank Kafr El-Sheikh University, Egypt, for providing the facilities.
[10] Felton DA, Webb EL, Kanoy BE, Dugoni J.
Dental Materials Journal. 31(2): 171-179, 2012 [30] Hong, S.Y, Lisa, A.L.

Oh et al. [18] have modified a CL criterion through normalizing the maximum principle tensile stress during uni-axial loading by the effective stress.
El-Abbasi, A.
Kvačkaj et al., Acta Metall.
Kvačkaj et al., Kovove Mater. 45 (2007) 249-254
El-Domiaty, A.

Al Sabbagh2, H.
Box 11-5020, Riad El Solh 1107 2809 Beirut, Lebanon 2Accelerator laboratory, Lebanese Atomic Energy Commission -CNRS, P.O.
Box 11-8281, Riad El Solh 1107 2260 Beirut, Lebanon 3Natural Science Department, Lebanese American University, Byblos, Lebanon email: mroumie@cnrs.edu.lb; sayedabboudy@yahoo.com Keywords: Rutherford Backscattering, multi-layer structure, silicon, silicon oxide Abstract.

C/ Chile s/n, E11002, Cadiz (SPAIN) 2 Department of Structural Mechanic, Central American University "José Simeón Cañas", Bulevar Los Próceres, La Libertad (EL SALVADOR) *aalvaro.gomez@uca.es, bfran.puerta@uca.es, cedwing.rosales@uca.es, ddaniel.jurado@uca.es, ejosemanuel.maine@uca.es, fmariano.marcos@uca.es Keywords: Dry Turning, Al-Cu Alloy, Feed rate, Ultimate Tensile Strength.
Experimental Test samples were obtained from UNS A92024 Al-Cu alloy bars of diameter 12.7 mm and length 2000 mm.
These results are in good agreement with previous studies carried out in Aluminium alloys (Al-Cu, Al-Zn) of higher diameter -factor ten- in similar dry cutting conditions [1,4,7].
Marcos, A SEM and EDS insight into the BUL and BUE differences in the turning processes of AA2024 Al–Cu alloy.
El-Axir, A method of modeling residual stress distribution in turning for different materials, Int.

Al Sn Zr Mo Nb Fe Si Ti 6.53 2.01 4.02 1.46 2.08 0.28 0.21 Bal.
However, the alloy after heat treatment Ⅱ had inferior room temperature plasticity, with 15% of RA and 11.5% of EL, compared to that after heat treatment I.
So the alloy after heat treatment Ⅱ has slightly higher UTS but obviously lower EL than that after heat treatment Ⅰ.
[5] Wanjara, P., et al., Hot working behavior of near-α alloy IMI834.
[8] Zhang, W., et al., Phase precipitation behavior and tensile property of a Ti-Al-Sn-Zr-Mo-Nb-W-Si titanium alloy.

In this paper, the fitness function is defines as one summary for add up errors El in some location of SSDA.
Take reverse El for -El to fit the condition of get the maximum value in the fitness function, see the equation as below: (1) E evolutionary operators Computation formula for crossover rate Pc and mutation rate Pm in evolutionary operators is as follows: (2) (3) To get the better results, the parameter values therein are taken on the basis of several experimental results as: Pc1 =0.9, Pc2 =0.6, Pm1 =0.1, Pm2 =0.001.
[8] Arbter K, Snvder W E, Burkhardt H, et al..Application of affine-invariant Fourier descriptors to recognition 3-D objects [J].IEEE Trans. on Pattern Analysis and Machine Intelligence, 1990,12 (1):640-647
[10] Smith M.I, Januarius E.M, Bernhardt M, et al.

The diffusion bonding conditions for the sandwich assembly (Al/AZ31/Al) [26].
b AZ31 AZ31 Diffusion layers 2 1 Al Al a Figure 9.
d Al Al Al Al AZ31 AZ31 AZ31 AZ31 a c b Figure 10.
Al AZ31 Al/AZ31 Figure 14.
Polarization curves for Al, AZ31 and Al/AZ31in 3.5% NaCl seawater [26]. 3.

On a strength/density basis, Mg compares favorably to Al and steel,but also in bending, torsion, oil canning and denting.
The Mg - Al alloy base has been fortified by additions of Sr, Ca and Rare Earths; whilst the Al content has been retained at 5-6% to retain ductility.
On alloying theory, reducing the Al to 5-6% reduces the volume % and size of the brittle  phase inherent in solidification of AZ91D.
Higher Zn/Al ratio in the AM-Lite alloys replaces β by Zn Mg intermetallics and makes for enhanced surface quality and plateability.
Of these alloys, the Mg-6 Al-1.5 Zn had the best combination of strength and ductility.

El-Sherbini et al [7] found that there was a significant reduction in the compressive strength of concrete utilizing waste rubber than normal concrete and rubber concrete demonstrated a ductile, plastic failure rather than brittle failure.
Shaikh et al. investigated the effects of SiO2 and CaCO3 nanoparticles on the properties of ordinary concrete and high-volume fly ash (HVFA) concretes.
Mohseni et al. studied the influence of TiO2 nanoparticles on the compressive strength and durability performance of High Performance Concrete (HPC).
El-Sherbini, A.
El-Gammal, Compressive strength of concrete utilizing waste tire rubber, J.

., et. el., Simulation Analysis of Weather Effect on Cooling Capacity and Cooling Load for a Small Building Cooled by Solar Adsorption Air-Conditioning System, Computer Applications in Environmental Sciences and Renewable Energy (2014) ISBN: 978-960-474-370-4 [2] Al-Waked, R., Effect of Façade Type on the Cooling Load of a Multi-Store Building, International Journal of Thermal & Environmental Engineering Volume 1, No. 1 (2010) pp. 9-14 [3] Ansari, F., et. el., A Simple Approach for Building Cooling Load Estimation, American Journal of Environmental Sciences 1 (3): ISSN 1553-345X, ( 2005) pp 209-212 [4] Balaras, C.A., The role of thermal mass on the cooling load of buildings.
[8] Kumar, R., et. el., Predicting Energy Requirement for Cooling the Building Using Artificial Neural Network, Journal of Environmental Engineering and Technology Vol. 2, No. 1, (2013) ISSN: 2165-8315
[9] Lanre, J., et. el., Design and Development of Calculator Software for Residential Electrical Services Design, International Journal of Engineering and Technology ISSN 2049-3444 Volume 2 No. 3 (2012) pp. 371-378
D., et. el., Analysis of Heat Gain in Computer Laboratory and Excellent Centre by using CLTD / CLF / SCL Method.
[12] Tin, J., et. el., A Review of Technological Developments in Cooling System for Different Climates, Middle-East Journal of Scientific Research 21 (9) ISSN 1990-9233, (2014) pp 1503-1511 [13] Uba, F.