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Sensors
Volume 23
Issue 14
10.3390/s23146561
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Article
Peer-Review Record

Acoustic Emission Monitoring of Fatigue Crack Growth in Hadfield Steel

Sensors 2023, 23(14), 6561; https://doi.org/10.3390/s23146561
by Shengrun Shi 1,2,*, Guiyi Wu 1,2, Hui Chen 2 and Shuyan Zhang 1
Reviewer 1:
Takayuki Shiraiwa
Reviewer 2: Anonymous
Sensors 2023, 23(14), 6561; https://doi.org/10.3390/s23146561
Submission received: 28 June 2023 / Revised: 17 July 2023 / Accepted: 18 July 2023 / Published: 20 July 2023
(This article belongs to the Section Physical Sensors)

Round 1

Reviewer 1 Report

It is interesting to focus on the distribution of AE parameters. The first part of the paper is clear. However, there is room for improvement in presenting the results. Nevertheless, the paper demonstrates the potential of AE in addressing fatigue issues, and it is generally desirable for publication.

Looking forward to seeing deeper insights into the relationship between AE parameter distribution and fatigue in your future work.

1. Why did the authors choose to focus on duration instead of frequency for their analysis? Since the duration can vary depending on the threshold settings, wouldn't it be more appropriate to utilize frequency instead?

2. L276: I couldn't understand why AEs with high durations could be attributed to intergranular fracture. It would be helpful to provide a more detailed explanation in the text.

3. There is an error on line 282. Please correct it.

4. Figure 8 is difficult to read. It would be better to split it into two plots, one for the upper part and one for the lower part.

Accept after minor revision

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

In this study, the authors investigate the correlation of acoustic emission and fatigue crack growth of crossing nose made of Hadfield steel during bending fatigue tests. The paper is of quite good quality, so it could be recommended for publication.

Though the authors have stated that power law was fitted to the probability distribution of duration and absolute energy of AE signals using a maximum-likelihood method, more details related to the fitting of the power law and comparison with other laws is needed.

It is not fully clear what is the main scientific novelty of the paper? This issue should be obviously specified in the abstract and introduction.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Dear authors, I wish you success in the field of acoustic monitoring. Pay special attention to the last remark.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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