# Thermodynamic Analysis and Performance Evaluation of Microjet Engines in Gas Turbine Education
## 5 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**NE**} & **Maf** & **Gf** & **\(\pi\)Ct** & **i2t** & **\(\eta\)Ct** & **\(\delta\)Tt** & **p4t** & **C5** & **M5** & **\(\eta\).te** & \(\eta\)Ct\(\cdot\eta\)Tt \\ \cline{2-13}
**rpm** & **kg/s** & **kg/s** & **-** & **kW** & **-** & **-** & **bar a** & **m/s** & **-** & **-** & \\ \hline
34,951 & 0.045 & 0.0458 & 1.1368 & 299.790 & 0.860 & 1.0612 & 1.0368 & 100.5 & 0.165 & 0.77 & 0.722 \\
47,160 & 0.061 & 0.0615 & 1.2070 & 305.813 & 0.859 & 1.0932 & 1.0686 & 151.2 & 0.251 & 1.80 & 0.722 \\
55,320 & 0.071 & 0.0726 & 1.2690 & 311.839 & 0.827 & 1.1217 & 1.095 & 184.5 & 0.304 & 2.57 & 0.694 \\
68,295 & 0.097 & 0.0982 & 1.4023 & 322.992 & 0.818 & 1.1886 & 1.1419 & 224.1 & 0.378 & 4.03 & 0.687 \\
79,369 & 0.123 & 0.1245 & 1.5521 & 333.851 & 0.827 & 1.2599 & 1.1924 & 257.0 & 0.443 & 5.57 & 0.695 \\
88,787 & 0.148 & 0.1504 & 1.7133 & 345.727 & 0.819 & 1.3371 & 1.2401 & 284.5 & 0.494 & 6.90 & 0.688 \\
97,786 & 0.170 & 0.1725 & 1.8859 & 356.607 & 0.824 & 1.4005 & 1.3032 & 319.5 & 0.552 & 8.44 & 0.692 \\
105,423 & 0.193 & 0.1962 & 2.0636 & 368.104 & 0.818 & 1.4714 & 1.3574 & 345.6 & 0.596 & 9.68 & 0.687 \\
112,706 & 0.214 & 0.2172 & 2.2620 & 379.210 & 0.821 & 1.5275 & 1.4332 & 381.2 & 0.650 & 11.18 & 0.690 \\
115,675 & 0.220 & 0.2233 & 2.3415 & 383.960 & 0.818 & 1.5443 & 1.4675 & 398.1 & 0.672 & 11.74 & 0.687 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: The third series values of calculated data for JetCat P80 engine. Figure 4: Total specific ideal/actual ratio enthalpies for JetCat and AMT models. As shown in Figure 6, for \((dT_{CHt})\), a random variation from an engine to another is observed, between 36.4% and 40.9%. For \((dT_{T,t})\), \((dT_{I})\) and \((dT_{E})\) a random variation between 85.7% to 91.7% is also observed in the case of \((dT_{T,t})\), between 85.9% to 92.5% in the case of \((dT_{I})\), and between 76.4% to 84.5% in the case of \((dT_{E})\). As shown in Figure 7, for \((dT_{CHt})\), an increasing variation from the idle regime to the maximum is observed, but with some random values between 34.3% and 40.7%. For \((dT_{T,t})\), \((dT_{I})\), and \((dT_{E})\) a continuous decreasing variation is observed between 98.7% to 91.3% in the case of \((dT_{T,t})\), between 99.5% to 92.4% in the case of \((dT_{I})\), and between 98.2% to 84.2% in the case of \((dT_{E})\). Figure 5: Total specific ideal/actual ratio enthalpies for JetCat P80 micro jet model. Figure 6: Actual temperatures ratio for JetCat and AMT micro jets models. Figure 7: Actual temperatures ratio for JetCat P80 micro jet model. As shown in Figure 8, for \((dT_{T.id})\), a random variation from an engine to another is observed, between 81.1% and 89.9%. For \((dT_{T.p.id})\), \(\left(dT_{J.id}\right)\), and \((dT_{E.id})\), a random variation is also observed between 83.8% to 91.6% in the case of \((dT_{T.p.id})\) and \(\left(dT_{J.id}\right)\) and between 72.7% to 82.3% in the case of \((dT_{E.id})\). As shown in Figure 9, for \((dT_{T.id})\)\((dT_{T.p.id})\), \(\left(dT_{J.id}\right)\), and \((dT_{E.id})\), a continuous decreasing variation from the idle to the maximum regime is observed between 98.5% to 89.6 in the case of \((dT_{T.t.id})\), between 99.4% to 90.9 in the case of \((dT_{T.p.id})\) and \(\left(dT_{J.id}\right)\), and between 97.9% to 81.5 in the case of \((dT_{E.id})\). All the percentage differences between the actual and ideal values for the previously presented data are shown in Tables 12 and 13. Considering that the previous results are percentage data, percentage parameters are also used to make a direct comparison of the main engine parameters and performances for JetCat and AMT micro jets at take-off regime and for the JetCat P80 micro jet at various working regimes. For JetCat and AMT micro jets, the percentage data are calculated by comparing the data of each engine model to the Lynx engine (AMT Netherlands), which is the most powerful engine in the dataset.