Turbine Blade Temperature Field Prediction Using the Numerical Methods

Round 1

Reviewer 1 Report

The paper “Turbine Blade Temperature Field Prediction Using the Numerical Methods” conducted numerical simulations to predict the temperature distributions of the turbine blade by artificial neural networks (ANN). Authors should validate their numerical simulation results with experimental results and this paper need some improvements to be published to the paper. The listed bellows are some comments for the authors.

• The originality of the paper should be described more clearly. The importance of temperature field in the turbine blade should be mentioned.
• The general information of turbine vane and blade was not described. For example, the blade chord length, pitch, span, inlet and outlet angle, turning angle, distance between vane and blade, etc. should be mentioned.
• What kind of turbulent model was used? What is the value of the y+? To predict the temperature of the turbine blade precisely, authors should choose the certain size of the mesh grid and turbulent model. In this paper, there is no descriptions for turbulent model and grid size.
• Authors should validate their numerical simulation results or conduct grid independency test to confirm their numerical simulation results.
• Did authors check the horseshoe, passage and corner vortex in the turbine passage? Those flow motions affect the temperature distributions on the turbine blade as shown in Fig.7. If the mesh grid was not enough, those flow phenomena were not be captured.
• The parameters and boundary conditions of numerical simulation was not described sufficiently.

Author Response

Thank you very much for the important and constructive comments which are very helpful for improving the manuscript. In the following the answers for your comments are in Blue. Also the manuscript has been revised according to your suggestions and comments. We hope that the revised version would satisfy your requirements. The changes in the text of the revised manuscript are marked with yellow highlight.

The paper “Turbine Blade Temperature Field Prediction Using the Numerical Methods” conducted numerical simulations to predict the temperature distributions of the turbine blade by artificial neural networks (ANN). Authors should validate their numerical simulation results with experimental results and this paper need some improvements to be published to the paper. The listed bellows are some comments for the authors.

The whole article is based on the measured data, as it can be seen from Table 1. As our Faculty deals with the research of engines and of their parts on a long-term basis – see the part added in the introduction. The research dealing directly with the measurement of the temperature is in details explained for example in [29]. However, the goal of this article was to present a unique methodology based on the integration of the artificial neural networks into the conventional simulation methods because this approach can help to reduce time needed for calculations significantly. And finally, the errors are summarized in the last Fig. 10.

The originality of the paper should be described more clearly. The importance of temperature field in the turbine blade should be mentioned.

The originality of the paper was described more clearly, apart from the previous version the originality is mentioned in the featured applications, in the abstract, introduction part and also in the conclusion. The importance of the temperature fields is in details described in the whole introduction part.

The general information of turbine vane and blade was not described. For example, the blade chord length, pitch, span, inlet and outlet angle, turning angle, distance between vane and blade, etc. should be mentioned.

The general information of the turbine were added in the section 2.2, also Figure 4 with the mesh detail was added.

What kind of turbulent model was used? What is the value of the y+? To predict the temperature of the turbine blade precisely, authors should choose the certain size of the mesh grid and turbulent model. In this paper, there is no descriptions for turbulent model and grid size.

Information about the turbulent model (SST) and y+ value were also added into the section 2.2. The mesh and its size was described. As it can be seen from this section, for the purpose of the article the mesh was suitable chosen.

Authors should validate their numerical simulation results or conduct grid independency test to confirm their numerical simulation results.

The article presents results of the continuing ongoing research performed in our laboratory. The iSTC-21v engine was a subject of many experiments and the research is based on these experience and obtained knowledge.

The numerical simulation results were validated and for the purposes of the article the chosen mesh was suitable. Furthermore, the main research and the main contribution of the article is in the ANN application for temperature prediction. The optimisation process of the CFD mesh does not have influence on the proposed methodology. However, the more precisely processed CFD model is used, the more precise results will be obtained from the calculations using the neural networks. The optimization process of the CFD model will be a part of the further research.

Did authors check the horseshoe, passage and corner vortex in the turbine passage? Those flow motions affect the temperature distributions on the turbine blade as shown in Fig.7. If the mesh grid was not enough, those flow phenomena were not be captured.

The horseshoe, passage and corner vortex were checked however, it is essential to emphasize that in Figure 7, the temperature distribution is cased mainly due to the ANN training process, however as mentioned in the article the main goal is to verify hypothesis if it is possible to predict temperatures using new method an ANN for iSTC-21v (which the results in Figure 7 proved – the difference of CFD and ANN prediction is relatively small). Results proved that using this new original method it is possible to predict temperatures by the ANN. One of the goals of the article is to present the methodology, which can be applied on any engine or engine component. But of course, during the further research the ANN can be optimized for the chosen application.

The parameters and boundary conditions of numerical simulation was not described sufficiently.

The boundary conditions and parameters of the simulation were added into the section 2.2 and also BC´s in Table 1.

The text was once again revised and the English grammar and spelling was checked.

Finally, we would like to thank you once again for your comments. We appreciate your great effort with the review of our article.

Reviewer 2 Report

-Uniform font on references

-[1] refernc: This source is NASA's guide for "dummies".Can you replace it with a better one.

-[2] reference: Write the location of the original journal, if it exists. Not a "third party" (ReserchGate).

-Uniform the font on the images (Times New Roman)

-In Table 3, the numbers convert to Times New Roman

line 195: [42][43][44][45] to [42-45]

-Uniform the writing temperature T3t in the text and in the tables and figures. T3t or T3t (subscription)?

-In Table 1. Speed (rpm), replace the blank field with a comma, e.g. (36 079 to 36,079).

Author Response

Uniform font on references

The font of all references has been uniformed according to the template. Also formal errors were corrected.

[1] refernce: This source is NASA's guide for "dummies".Can you replace it with a better one.

The reference was replaced by much more convenient book.

[2] reference: Write the location of the original journal, if it exists. Not a "third party" (ReserchGate).

This reference was also corrected according to the Scopus database and the DOI was added.

Uniform the font on the images (Times New Roman)

The font used in the images was uniformed. Also the font size was uniformed and in the last figure (now Fig. 10) also the captures were uniformed.

In Table 3, the numbers convert to Times New Roman

The numbers are converted according to the template.

line 195: [42][43][44][45] to [42-45]

The correction was performed.

Uniform the writing temperature T3t in the text and in the tables and figures. T3t or T3t (subscription)?

Temperature is uniformed in Figures, tables and also in the text.

In Table 1. Speed (rpm), replace the blank field with a comma, e.g. (36 079 to 36,079).

The blank field in Table 1 was replaced with the comma.

Round 2

Reviewer 1 Report

Accept in present form