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Article
Peer-Review Record

Prediction of Resistance Spot Welding Quality Based on BPNN Optimized by Improved Sparrow Search Algorithm

Materials 2022, 15(20), 7323; https://doi.org/10.3390/ma15207323
by Jianming Hu 1, Jing Bi 2, Hanwei Liu 2, Yang Li 1,*, Sansan Ao 1 and Zhen Luo 1,*
Reviewer 1:
Reviewer 2: Anonymous
Materials 2022, 15(20), 7323; https://doi.org/10.3390/ma15207323
Submission received: 24 September 2022 / Revised: 14 October 2022 / Accepted: 18 October 2022 / Published: 20 October 2022

Round 1

Reviewer 1 Report

The presented manuscript seems to be interesting for readers of the Materials journal, it is written in a good manner and suits the requirements of the journal. It can be accepted for publication after minor corrections listed below.

- English language of manuscript is acceptable in general. However, it would be much better to improve. Please avoid the unnecessary long sentence. Also, some grammatical and typos mistakes can be observed. For example: eexperimental , interval (3.5, 4]

- Please respond to the following questions and make necessary revisions.

-        Is the data properly divided as testing (20-30%) and training (70-80%) sets?

-        Are the accuracies of testing and training sets within acceptable ranges?

-        Is it stated that the proposed models will be valid within the ranges of variables used for training?

- Figure 8 is repeated twice. “Figure 8. Prediction and error comparison…” should be changed to “Figure 9” and the rest of the figures should be modified in the same way.

-The composition, structure and properties of sheets (2219 and 5A06) and their dimensions and thickness should be given in text

- Figure 2(a) has no special scientific value and can be omitted

- Acronyms, such as PCA and RMS, should all be defined at their first occurrence in the manuscript; It is suggested to add a section for the acronyms and parameters at the end of the manuscript.

- Literature review is not sufficient and authors must review and cite more papers in the field of correlation and prediction of the structure and properties of steels and especially newly published ones. Doing this, review and citing the following refs could be helpful:

[] Journal of Mining and Metallurgy, Section B: Metallurgy, 51, 2015, 173-178.

[] Measurement, 99, 2017, 120-127.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Major revision is required.

Please, revise the paper based on the attached pdf.

 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

As authors have performed an adequate revise, the manuscript might be accepted for publication in the journal of Materials.

Reviewer 2 Report

Accept in present form.

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