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Article
Peer-Review Record

Effects of the Surface Roughness of Six Wood Species for Furniture Production on the Wettability and Bonding Quality of Coating

Forests 2023, 14(5), 996; https://doi.org/10.3390/f14050996
by Qinglin Yu 1,2, Xi Pan 1,2, Zhong Yang 1,2,*, Li Zhang 1,2 and Jingyun Cao 1,2
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Forests 2023, 14(5), 996; https://doi.org/10.3390/f14050996
Submission received: 13 April 2023 / Revised: 23 April 2023 / Accepted: 3 May 2023 / Published: 11 May 2023
(This article belongs to the Special Issue Wood Quality and Wood Processing)

Round 1

Reviewer 1 Report

After reading the article, I have the following comments:

Explain what furniture wood specie is?

Why is the article only mentioning the white shade of pigment coating? ¨

The amount of application of three coats of paint 120g.m-2 was paint in liquid state or dry matter in paint film?

What was the diameter of the spray gun nozzle?

Why was grid adhesion measured 7 days after application when 10 days is generally recommended?

Describe and specify in more detail the sandpapers used

Author Response

Thank you very much for your valuable suggestions and comments. 

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors

Thank you for interesting research. This has a potential to be a good article. Please consider my recommendations below.

Yours

/

 

 

Effects of Surface Roughness of Six Furniture Wood Species on the Wettability and Bonding Quality of Coating

 Abstract:

Explain SFE, vOCG, MD-model

 Also: state what a high K-value means.

 Keep in mind that these results are more och less only valid for the coating used. Maybe you should be a bit weaker in stating conclusions?

 Introduction

. Catalpa wood is straight and has the excellent quality[4].

Please state what you mean by “quality” as it is a very broad measure.

The processing capabilities of wood products, such as bonding and coating, depend on the surface qualities[6]

Yes, among other things. More references needed.

 Application of coatings like varnish and white paint to wood surfaces is a standard practice in the furniture manufacturing process.

 

White paint?

 

Wood is protected from environmental factors like weather, air, water, temperature, and sunshine by the coating[7–9].

Most important is moisture.

 

Wettability is determined by many more factors than surface roughness (density, chemical composition is just a few). Sometimes also mush more important factors.  

 

 

Materials and methods

 

Material: lacking information about density and annual ring with/proportions, among other things. All very important features.

 

 

Sandpapers of different grit (P180, P240, P320, P400, P500) were selected to sand for 1 minute.

Time is not important, but frequency! Done by machine or hand?

 

Contact angle measurement: Here it can be a large difference between early-/latewood. Has that factor been considered?

 

Results:

 

 

Surface roughness: also depending on density which can vary a lot within species. Please consider.

 

 

Conclusions:

 

The more you sand, the smoother surface. Not really a result?

 

Rewrite after you have worked on the comments above.

 

 

-

Author Response

Thank you very much for your time and your approval of our manuscript.

Please see the attachment.

 

Author Response File: Author Response.docx

Reviewer 3 Report

The article analysis surface roughness impact on wettability properties of different wood species. The article is interesting, however, I have few remarrks which are indicated below:

1. It would be appropriate to add explanations of abbreviations in Abstract.

2. Please add reference number to ISO 25178 and add it to reference list.

3. How many samples were used for each test to obtain the average value?

4. Is surface roughness for each wood species determined just one time? Because I see the average value and no upper and lower limits or at least standard deviations. The same applies for each test method.

5. Please increase the scaling of Figure 2 because it is hard to see the values and titles of axes. The same for Figure 3.

Author Response

Thank you very much for your valuable comments.

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

_

Reviewer 3 Report

Authors have taken into consideration all my remarks.

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