Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering
Volume:8 Issue: 1, 2015

This paper deals with dynamic Stability of single walled carbon nanotube. Strain gradient theory and Euler-Bernouli beam theory are implemented to investigate the dynamic stability of SWCNT embedded in an elastic medium. The equations of motion were derived by Hamilton principle and non-local elasticity approach. The nonlocal parameter accounts for the small-size effects when dealing with nano- size structures such as single-walled carbon nanotubes. Influences of nonlocal effects, modulus parameter of elastic medium and aspect ratio of the SWCNT on the critical buckling loads and instability regions are analyzed. It is found that the difference between instability regions predicted by local and nonlocal beam theories is significant for nanotubes.

In this paper, nonlinear static analysis of moderately thick plate made of functionally graded materials subjected to mechanical transverse loading is carried out using dynamic relaxation method. Mindlin first order shear deformation theory is employed to consider thick plate. Discretized equations are extracted for geometrically nonlinear behavior analysis.Loading Conditions and boundary conditions of the plate are uniformly distributed transverse load and simply supported at the four edges of the thick plate, respectively. In order to generalize the obtained results, the equations are solved by applying dynamic relaxation method based on central finite deference discretization in the non-dimensional form. The effects of problem parameters such as gradient constant of the functionally graded material and the side to thickness ratio of plate on the results are investigated. According to the obtained results, the need of including elastic large deflection and applying the theory which considers the effects of plate thickness on the plate bending response and also finally the need of employing dynamic relaxation solution method despite the non-linear terms resulted from large deflection of the functionally graded thick plate are discussed.

In the nanochannel flow behavior with respect to expand their applications in modern systems is of utmost importance. According to the results obtained in this study, the condition of nonslip on the wall of the nanochannel is not acceptable because in the nano dimensions, slip depends on different parameters including surface roughness. In this study, keeping the side area roughness, deformation effects on fluid flow behavior is investigated. Modeling software open source LAMMPS with equilibrium molecular dynamics simulations have been carried out. Unlike previous studies, existence fluid in laboratory conditions as water-copper nanofluids used. The results showed that rectangular was the most effective and triangular was least effective roughness on flow behavior, resulting in a rough triangular nanochannel slip occurs with more intensity.Existence roughness on the surface increases the number of oscillations in the fluid layer but amplitude near the wall is smooth to rough increased. Nanoparticles also increase the impact on the flow properties.

In this paper, the dynamic stability analysis of a simply supported beam carrying a sequence of moving masses is investigated. Many applications such as motion of vehicles or trains on bridges, cranes transporting loads along their span, fluid transfer pipe systems and the barrel of different weapons can be represented as a flexible beam carrying moving masses. The periodical traverse of masses over the beam results a linear time periodic problem. Floquet theory and Incremental Harmonic Balance (IHB) method are used to obtain the boundary of stable and unstable regions in the plane of moving mass parameters. Results of IHB method do verify the boundary curve separating the stable and unstable regions generated by Floquet theory. Also the result of numerical simulations confirms the result of the applied semi-analytical methods.

General thermo-mechanical behavior of composites reinforced by shape memory alloy fibers is predicted using a three-dimensional analytical micromechanical method to consider the effect of fibers activation. Composite due to the micromechanical method can be exposed to general normal and shear mechanical and thermal loading which cause to activate the shape memory alloy fibers within polymeric matrix finally. Considering the capabilities of the presented micromechanical model; the fibers arrangement within the matrix is simulated as square distribution. Representative volume element of the composite system consists of two-phases including shape memory alloys fibers and polymeric matrix which is exposed to axial cyclic mechanical loading. In order to display the effect of fiber activation on the overall response of composite, the behavior of polymeric matrix is assumed elastic and shape memory alloy fibers is considered nonlinear inelastic based on 3-D Lagoudas model is simulated. The model is capable to predict the phase transformation and super elastic behavior of shape memory alloys. In order to develop thermo-mechanical equations of the shape memory alloy in the unit cell model, Newton-Raphson nonlinear numerical solution method is used. In the results, the effects of significant parameters on the thermo-mechanical response of composites are investigated and then the composite thermo-mechanical response is demonstrated in the high and low temperature interval and the effect of shape memory alloy wire activation in the composite is addressed. The presented results show that the composite residual strain in mechanical unloading decreases by enhancing temperature. Therefore, the composite residual strain approaches to zero when the temperature is higher than at which austenite transformation finishes. Comparison between the present research results with available previous researches shows good agreement.

Semi-Solid Casting (SSM) is a new process that could produce globular structures with mechanical properties. The cooling slope method (CLM) is a one of this process that was employed to produce the A360 feedstock. In this method, The dendritic primary phase in the conventionally cast A356 alloy has transformed into a non-dendritic one. In this paper, The molten alloy with the temperature (PT) of 670, 650, 630, 610 and 590ºC was poured on the surface of the plate where cooled with water circulation in various cooling angles (CA) and lengths (CL). After pouring, the melt which became semi-solid at the end of the plate was consequently poured into cylindrical steel mold with different mold temperatures (MT). Then, a back-propagation neural network was design to correlate the process parameters. Finally, genetic algorithm (GA) was used to optimize the process parameters. Results indicated that the hardness of samples changed with PT and MT. In the best condition with changes on PT, the hardness increased 15% and it increased 5% with changes on MT. The hardness is increased around 12% and 9% with changes on CL and CA consequently. The strength is increased around 13% and 6% with changes on CL and CA consequently.