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Fig. 11. Pareto front resulting from the optimization of E3 engine combustor

Figure 11 Pareto front resulting from the optimization of E3 engine combustor

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Chis is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers ve are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and eview of the resulting proof before it is published in its final form. Please note that during the production process srrors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
noted that the focus on the performance parameters available in the conceptual design phase anc the items in this section are notnecessarily a complete list of the combustor’s performance
noted that the focus on the performance parameters available in the conceptual design phase anc the items in this section are notnecessarily a complete list of the combustor’s performance
actual components. For example, the flow partitioning code calculates the fraction of the total air
actual components. For example, the flow partitioning code calculates the fraction of the total air
time dependence in their mathematical models [22]. MIX is an element in which no chemical reaction occurs and the entering streams mix
time dependence in their mathematical models [22]. MIX is an element in which no chemical reaction occurs and the entering streams mix
Table 1. The input parameters at different operating conditions for modeling CFM56-7B27 engine combustor Table 2. The input parameters at different operating conditions for modeling E3 engine combustor setting), approach (30% power setting), and ground-idle (7% power Setting).
Table 1. The input parameters at different operating conditions for modeling CFM56-7B27 engine combustor Table 2. The input parameters at different operating conditions for modeling E3 engine combustor setting), approach (30% power setting), and ground-idle (7% power Setting).
Table 3. General dimensional data for CFM56-7B27 and E3 engine combustors
Table 3. General dimensional data for CFM56-7B27 and E3 engine combustors
settings. An overall review of the results of Fig. 6 and Fig. 7 reveal that the CO emission is the The overall trends of the predicted pollutants emission indices are captured acceptably as the
settings. An overall review of the results of Fig. 6 and Fig. 7 reveal that the CO emission is the The overall trends of the predicted pollutants emission indices are captured acceptably as the
The CRN could be used to study the flame stability in the combustor. The static stability loop
The CRN could be used to study the flame stability in the combustor. The static stability loop
analogous results. For the sake of abbreviation, the presentation of the static stability results of
analogous results. For the sake of abbreviation, the presentation of the static stability results of
optimization approach. Details for the implementation of this issue are described below.
optimization approach. Details for the implementation of this issue are described below.
Table 4. The variation range of design variables in the optimization process Table 5. The desired variation range of optimization problem constraints
Table 4. The variation range of design variables in the optimization process Table 5. The desired variation range of optimization problem constraints
Fig. 10. Pareto front resulting from the optimization of CFM56 engine combustor
Fig. 10. Pareto front resulting from the optimization of CFM56 engine combustor
Table 6. The values of design variables at the corresponding optimal point of the F1 objective function (CFMS56 engine)
Table 6. The values of design variables at the corresponding optimal point of the F1 objective function (CFMS56 engine)
Table 9. The values of the target and constraint parameters at the corresponding optimal point of the F2 objective function (CFMS56 engine)
Table 9. The values of the target and constraint parameters at the corresponding optimal point of the F2 objective function (CFMS56 engine)
Table 11. The values of the target and constraint parameters at the corresponding optimal point of the F3 objective function (CFM56 engine)
Table 11. The values of the target and constraint parameters at the corresponding optimal point of the F3 objective function (CFM56 engine)
Table 12. The values of design variables at the corresponding optimal point of the F1 objective function (E3 engine)
Table 12. The values of design variables at the corresponding optimal point of the F1 objective function (E3 engine)
Table 14. The values of design variables at the corresponding optimal point of the F2 objective function (E3 engine)
Table 14. The values of design variables at the corresponding optimal point of the F2 objective function (E3 engine)
Table 15. The values of the target and constraint parameters at the corresponding optimal point of the F2 objective function (E3 engine)
Table 15. The values of the target and constraint parameters at the corresponding optimal point of the F2 objective function (E3 engine)
Table 17. The values of the target and constraint parameters at the corresponding optimal point of the F3 objective function (E3 engine)
Table 17. The values of the target and constraint parameters at the corresponding optimal point of the F3 objective function (E3 engine)
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Mechanical EngineeringEnvironmental ScienceInterdisciplinary EngineeringApplied Thermal Engineering
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