## 5 Discussion  
### Graphical Discussion  
The purpose of this segment is to discuss the physical properties of different embedding parameters in the stated flow problem on the velocity profile, temperature profile and concentration profile, which are illustrated in Figures 2-13. Figure 2 shows velocity variations due to unsteady parameter. Increasing the value of unsteady factor results in decrease of the velocity of the fluid,which is understandable because velocity remains faster in steady and stretching flow. Figure 3 shows the effect of the unsteady parameter on concentration profile. It is obvious from the graph that increasing the unsteady parameter \(\lambda\) decreases the concentration. The influence of \(\lambda\) is normal because, due to stretching sheet and steady flow, both the concentration and temperature increases, while increasing the unsteady parameter cause the reverse effect. The concentration variation starts from \(\eta=4\). Figure 4 shows the variation of temperature due to unsteady parameter. The effect of unsteady factor on temperature is similar to the concentration of the fluid. Increasing the value of \(\lambda\) decreases temperature profile of the nanofluid. This shows that cooling ratio will be faster as compared to steady flow. It is expected that, in unsteady flow, the spaces between the molecules increases, thus concentrations and the temperature profile decrease. Thus, for practical purposes, these factors are highlighted here. Designing any apparatus, the unsteady factor should be well considered. Figure 5 shows the magnetic field influence on the velocity of the nanofluid. Increasing the value of M results in reduction of the strength of the velocity of the fluid because the magnetic field produces a Lorentz force that is against the flow of the fluid. The magnetic field is applied perpendicular to the flow and produces maximum Lorentz force. It reduces the thickness of the momentum boundary layer as well. The thermal boundary layer increases with increasing values of magnetic field. Figure 6 depicts the effect of Deborah number on the velocity of the fluid. Increasing the value of Deborah number decreases the velocity of the fluid. The momentum boundary layer thickness decreases with increasing of the Deborah number. Actually, the influence of the Deborah number reverses when Newtonian fluids are used: the thickness of the layer increases by increases of the Maxwell factor. Figure 7 shows the impact of radiation strength on the temperature of the nanofluid. Increasing the value of the radiations increases the temperature of the Nanofluid. The thickness of the thermal boundary layer also increases. One can control the temperature of the fluid from thermal radiations because the temperature is very sensitive to thermal radiations, which means that the heat flux at the surface will be greater. The thermal boundary layer thickness increases with an increase in the value of the thermal boundary layer. Figure 8 shows the Prandtl number effect on the temperature of the Nanofluid. Increasing the Pr number reduces the thermal boundary layer thickness and temperature of the Nanofluid. The reason behind this is that Pr is a ratio of momentum diffusivity to thermal diffusivity. When thermal diffusivity decreases, automatically Pr number increases and the temperature of the fluid decreases. In other words, Pr and temperature have an inverse relation. Prandtl number controls the relative thickening of the momentum boundary layer and thermal boundary layer. One can easily control or predict the rate of flow and temperature knowing the value of Prandtl number. Figure 9 illustrates space dependent parameter for the Nanofluid. Increasing the value of the space dependent factor A increases the temperature of the Nanofluid. Similarly, Figure 10 shows the case of temperature dependent coefficient. It also increases temperature by increasing the value of B. With the increases of parameters A and B, the thermal layer of the boundary produces energy, which raises the temperature profile.