Data-Driven Conjugate Heat Transfer Analysis of a Gas Turbine Vane

Round 1

Reviewer 1 Report

1.An introduction to the gas turbine should not be included in the abstract; instead, a description of the case study should be included.

2.In the introduction part the authors have made no attempt at indicating and comparing their work with the extensive body of literatures.

3.Results are very brief and you need to discuss in more details and mechanism of heat transfer augmentation.

4.Need to do grid independency test.

5.Conclusions section is written briefly. Please extend this part with more achievements and results.

Author Response

Dear reviewer，

Thank you very much for your time and suggestions for the article I submitted. Here are the responses.

1. In the abstract of the revision version, the introduction of the gas turbine has been reduced and the description of the case has been added;
2. The literature review is supplemented in the introduction；
3. More descriptions of the results has been supplemented；
4. The grids used in this study passed the grid independence test, and the description of grid independence test has been supplemented in section "Mesh applied on calculation";
5. Conclusion content has been extended.

Respectfully yours

Reviewer 2 Report

Title: Data-driven Conjugate Heat Transfer Analysis of a Gas Tur- 2 bine Vane

 

In this work, The efficiency of the gas turbine can be improved by increasing the turbine inlet temperature. The cooling design has an important contribution to improving turbine inlet temperature. Therefore, high-accuracy and high-efficiency heat transfer analysis tools are needed to verify the effectiveness of the cooling design and continuously improve the design. In this work, a data-driven method is combined with a decoupled conjugate heat transfer analysis on a typical air-cooled gas turbine vane. A conventional 3-D CHT simulation of the vane is then executed for contrast. Results show that this method shortens the time of the heat transfer analysis process significantly and ensures accuracy meanwhile. It proves that the data-driven method is effective for the evaluation of modern gas turbine cooling design and is improved compared with the traditional three-dimensional heat transfer analysis method. The data are well organized by the authors. I, therefore, recommend this paper be published in the Process Journal after the authors address the following comments.

 

·        Review English grammar as there are mistakes throughout the text.

·        Which solver is used?

·        Please add the  “Governing equations and computational technique” section and the equations must be expressed by the authors.

·        What is time used for convergence?

·        What is the criterion of convergence?

·        Please add the specification of fluid?!

·        The physical explanation about figures 7 and 8 is limited. Please explain more.

·        The author must improve the introduction with more advanced applications. Also, the author could find new references for the literature review. For example: Chinese Journal of Chemical Engineering 27.8 (2019): 1745-1755,Separation Science and Technology 54, no. 15 (2019): 2536-2554, Thermal Science 12.3 (2008): 65-73, Journal of Molecular Liquids 268 (2018): 791-806, Turbo Expo: Power for Land, Sea, and Air. Vol. 54655. 2011., Chemical Engineering and Processing: Process Intensification 108 (2016): 35-43,

 

In conclusion, this paper might be made suitable for publication in this Journal if the as-mentioned comments are clarified. These constitute a Minor revision of it.

 

Author Response

Dear reviewer,

Thank you very much for your time and suggestions for the article I submitted. 

1. The grammar has been checked and revised.
2. Solver used in this work is CFX-solver v19.1, this is noted in the new section “Governing equations and computational technique”
3. Secion “Governing equations and computational technique” has been added which includes the equations solved.
4. The convergence time has been described in the section “efficiency” of Results.
5. The convergence criterion of the traditional coupled heat transfer calculation is that the root-mean-square of residual is less than 1e-5 or the residual is small enough and fluctuates periodically around a certain value as the number of iterations increases. The convergence criterion of the data-driven decoupled calculation method is that the mean temperature error of the outer iteration is less than 0.01K.
6. The fluid is an ideal air, and the dynamic viscosity and thermal conductivity are calculated using sutherland's formula.
7. A more detailed explanation of Figures 7 and 8 has been added in the revision.
8. As for the literature review, I have made corresponding supplements. Thank you very much for providing the literature sources. 

Respectfully yours

Round 2

Reviewer 1 Report

The manuscript has been well improved.