A Novel Adaptive Generation Method for Initial Guess Values of Component-Level Aero-Engine Start-Up Models
Round 1
Reviewer 1 Report
Aero-engine start-up is a complex nonlinear aerothermodynamic process. In this work, a method based on the flow-based back-calculation algorithm is proposed to solve the initial guess value issue for component-level aero-engine start-up models. The topic is interesting. Here are the detailed comments.
1) I am confused about the “Section Number” in Table 1 and Figure 1. For example, the Section Number of combined compressor inlet is 21. Are there 21 computational cells in the component of combined compressor inlet? Or is it just a label of the computational cells? And the total number of the computational cells is just 12, as shown in Figure 1. Please discuss it.
2) In 3.2.3. Solution of Initial Guess Values, Newton method has been used in this work. Newton iteration method is a powerful nonlinear solver and has been widely used in various scientific and engineering communities successfully. Please supplement a brief review about the recent progresses and applications of Newton method. Here are some examples, which may be useful. [1] A numerical study of the additive Schwarz preconditioned exact Newton method (ASPEN) as a nonlinear preconditioner for immiscible and compositional porous media flow [2] Accuracy and efficient solution of helical coiled once-through steam generator model using JFNK method [3] A parallel Newton multigrid framework for monolithic fluid-structure interactions
3) In Fig. 12 and 13, please plot the newton convergence history, which could show the super-linear convergence rate of Newton method.
4) Line-search and trust region method are the well-known global convergence method. Are these two methods used in this work? If not, it is suggested to consider these two method in the future research, which could further enhance the capability of global convergence.
Author Response
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Author Response File: 
Author Response.docx
Reviewer 2 Report
In this paper, the authors develop an adaptive method for the initial guess values of component-level values for air engines. The paper was interesting to read and very applicable to the industry. Their calculations are coherent, and their conclusions are consistent with what is shown in the paper. This paper deserves to be published in Sustainability, answering and commenting on this question:
FBBCA offers a fast and adequate adaptive method that modifies according to environmental conditions and ensures absolute convergence (as indicated by the authors). Is there a possibility of convergence failure, and under what parameters would the system collapse or lose fidelity? Some sentence or discussion of this seems relevant to me.
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
The paper has introduced initial guess values of the aero-engine component-level models at the start-up condition. The method is novel and the results are well-presented. However, some recommendations should be factored in which are as follows:
1- I see that there is some evidence proving the results are verified, however, I couldn’t find a comparison between the experimental model and the novel model. Please add validation based on the experimental model, whether based on your experiment or other investigations. if it was unfeasible please justify why. Also, the authors should define a part just for validation and directly mention it.
2- Making comparisons between the results and other approaches can enhance the value of the paper. It is suggested to compare results with some relevant articles that have followed other methods.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
No further comment
Reviewer 3 Report
The authors have amended all comments. The paper has merit for being published in Sustainability.
