Performance Optimization Design of Diagonal Flow Fan Based on Ensemble of Surrogates Model
Round 1
Reviewer 1 Report
The manuscript is about the performance optimization design of diagonal flow fan. The authors after determining the design variables parameterized the flow fan blade. The optimal technique integrates the traditional Kriging model and RBF model and the accuracy of the parameterization method is verified. Moreover, by introducing the Ensemble of surrogates model, it is verified that the Ensemble of surrogates model has higher prediction accuracy in the prediction of fan flow and pressure efficiency. By numerical simulation and experimental verification it is concluded that the effective air volume of the fan increases by 10% and the total pressure efficiency increases by 3.2% under the design condition of the optimized blade.
The research design is appropriate and manuscript is well written, having very interesting results.
Author Response
Thank you very much for your comments and suggestions.Reviewer 2 Report
Please check the remarks.
Comments for author File: 
Comments.pdf
Author Response
Thank you for your reminder, it has been modified in the manuscript.
Reviewer 3 Report
page 4 101- turbulence viscosity denoted as mu_l ; I think it's a typo, should be mu_t
page 11- Energy loss formula should be given , if not mentioned elsewhere
In many cases, long sentences are used. Please try to split into smaller sentences.
Author Response
Point 1: page 4 101- turbulence viscosity denoted as mu_l ; I think it's a typo, should be mu_t
Response 1: Thank you very much for your reminder. This is really a typo. It has been changed in the manuscript.
Point 2: page 11- Energy loss formula should be given , if not mentioned elsewhere
Response 2: Thank you very much for your reminder, the relevant formula has been added in the manuscript.
Point 3: In many cases, long sentences are used. Please try to split into smaller sentences.
Response 3: Thank you very much for your reminder. Some long sentences in the manuscript have been revised.
Author Response File: 
Author Response.docx
