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Amabili and et al. [11] evaluated the effects of rotational inertia of concentrated masses on the vibration characteristics.
In the classical lamination plate theory, bending stiffness is given by Dij=23k=1NQijkzk3-zk-13 i, j=1,2,6 (1) where Qij(k) are transformed elastic constants in the k-th layer [15] defined by reduced stiffnesses Qij (i, j=1,2,6) as Q11=EL1-νLTνTL, Q12=ELνTL1-νLTνTL, Q22=ET1-νLTνTL, Q66=GLT (2) with EL and ET　being Young’s modulus in L and T directions.
Material constants are measured preliminarily by tensile tests, and are given by Aluminum: E=70 GPa, ν=0.33, ρ=2712 kg/m3 (14a) Composite: EL=119 GPa, ET=8.47 GPa, νTL=0.34, GLT=4.03 GPa, ρ=1509 kg/m3 (14b) The dimensions of the test plates are given by (a) Aluminum FFFF plate: a= 160.4 mm, b= 160.3 mm, h=1.6 mm, m1=15.4 g, m2=15.4 g ((m1+m2)/ρabh=0.276) (15a) CFFF plate: a= 162.2 mm, b= 160.9 mm, h=1.6 mm, m1=15.3 g, m2=15.3 g ((m1+m2)/ρabh=0.270) (15b) (b) Composite laminate [90/0/90]s FFFF plate: a= 159.8 mm, b= 159.8 mm, h=1.65 mm, m1=9.3 g, m2=8.76 g ((m1+m2)/ρabh=0.284) (16a) CFFF plate: a= 162.2 mm, b= 159.6 mm, h=1.55 mm, m1=11.9 g, m2=11.9 g ((m1+m2)/ρabh=0.393) (16b) The composite specimen is laminated with prepreg sheets by the hand lay-up method, and fabricated in the following steps. 1.
Ingber, A.L.

Atmospheric Chlorides; Comparison of Land vs Ship Data; Projected 1 Year Values Corrosion Of 6061 Al; Comparisons Of Land vs.
Corrosion of 6061 T6 Al; Comparison of Land vs.
Irwin; El Grazio Ft.
Irwin; El Grazio Ft.

For example, CG copper (Cu) can have elongation (EL) as large as ~ 60%, while EL of Cu (100 nm > grain size > 10 nm) reported ranged from 1% to 7% [3, 4].
Zhao et al. has demonstrated the success of achieving dual improvement, by reducing the stacking fault energy (SFE) of copper via the addition of 10% zinc [9].
This result is in agreement with a previous report, in which Brenner et al. have reported the beneficial effect of Be on both strength and ductility of Au wires in the 60's [37].

For instance, Mahdavi and El-Bellahy [4] illustrated that the most time-consuming working steps in the simulation practice are collection, structuring and provision of (geometric and semantic) input data and generation of building models for the subsequent simulation steps.
Given the reported ineffectiveness of the traditional BPS (Building performance simulation) tools in supporting design decision making (as reported by Hensen et al 2004 [1], Hensen 2004 [9]), “architect-friendly” BPS render an interesting option to better integrate performance criteria into (early) architectural design (Weytjens and Verbeeck 2010 [10]).
Regarding the usability of Building Performance Simulation environments Attia et al. [2] suggested the following evaluation criteria: (i) Learning Curve, (ii) Data Entry, (iii) Simulation Output, (iv) Error Notification, (v) Help & Support.
El-Bellahy: "Effort and effectiveness considerations in computational design evaluation: a case study"; Building and Environment, 40 (2005), S. 1651 - 1664

This approach not only aligns with green chemistry principles but also leverages bioactive compounds from plants, which can enhance the biological properties of AgNPs (Ahmed et al., 2016).
Al-Balushi, F. and Al-Siyabi, Characterization of date palm fiber-reinforced recycled polymer composites, J.
El Sayed, N.
El Tanbouly, and A.
Azzazy et al., Smart nanocarriers for controlled drug delivery, ACS Omega. 8 (2023) 1017–1025

Wang et al have improved the flexibility of the cured epoxies by manipulating a flexible spacer between two terminal maleopimarate entities of the rosin-based anhydride curing agents.
Polyacrylate/polymerized rosin composite emulsions have been reported [30] by Pingxu et al via seeded semi-continuous emulsion polymerisation of acrylate monomers in which polymerized rosin was dissolved.
El-Saeed and R.K.
El-Sayed, Journal of Polymer Research, 2005, 12, p. 127
El-Saeed, Synthesis of unsaturated polyester resins based on rosin acrylic acid adduct for coating applications, Reactive & Functional Polymers 67 (2007) pp. 549–563

Modeling of Cutting Performances in Turning Process Using Multiple Regression Method Samya DAHBI1, a*, Latifa EZZINE2, b, Haj EL MOUSSAMI1, c 1 ENSAM School, Moulay Ismail University, P.O.
Box 15290, Al Mansour, Meknes, Morocco 2 EST School, Moulay Ismail University, P.O.
Effects of cutting edge geometry, workpiece hardness, feed rate, and cutting speed on surface roughness and cutting forces in finish turning were investigated by Őzel et al. [13].
According to the study conducted by Agrawal et al. [14], the effect of feed rate on surface roughness is low at low levels of surface roughness and high as surface roughness increases.
Kumar et al. [15] investigated the effects of cutting parameters in turning of carbon alloy steels.

Ghia et al. [9] and Schreiber et al. [10] were pioneers in disseminating control data related to lid-driven flow in cavities.
In addition, several investigations have examined the impact of various effective factors on hydrothermal performance inside regular cavities such as solid inner insert, Alsabery et al. [16], external magnetic source, Rashad et al. [17], porous block, Colak et al. [18], rotating cylinder, Zhang et al. [19] and fins, Moayedi et al. [20].
F., & Abd El-Kawi, O.
[11] Al-Amiri, A.
E., & El Ganaoui, M. (2019).

Rostam et al. carried out experimental research on polymer nanocomposites' flexural and creep properties.
Mustafa et al. formed nanocomposites (NCPs) based on epoxy resin that had better mechanical qualities.
El-Bahy, E.M.
Al-Ramadhan, A.H.H.
Al-Batat, Development artificial dental filling (PMMA) for antibacterial and wear resistance enhanced by bioceramic system CaTiO3, AL-Qadisiyah Journal of pure Science 23(1) (2018) 166-174

Development of a Neural Network Model and Taguchi-Based Optimization for Dry Sliding Wear Performance of Al 6065 Alloy Reinforced with Nano SiC and Graphene Nanoplatelets V.
Given the range of applications where Al 6065 alloy is used, it is often necessary to improve its mechanical properties to meet specific requirements.
No Al 6065 alloy (%) SiC nanoparticles (%) Graphene Nanoplatelets (%) 1 96.5 2 1.5 2 94 4 2 3 89.5 6 4.5 Fig. 1.
This indicates that the composition of reinforcement is the most important parameter in determining the wear properties of the Al 6065 alloy.
El-Shafei, and A.