Synthesis of Induction Brazing System Control Based on Artificial Intelligence

Round 1

Reviewer 1 Report

Overall, an interesting and generally well presented piece of work. The approach described is sound and of interest to readers of this publication. 

The paper could be further enhanced by considering the following minor changes. 

Introduction: 

P3:

L72: Some data on these errors (with citations to ref sources) would further enhance this section. 

Defining the task:

P5: 

L127: "Section 0" ?  and "Fig. 10Set the....." - spacing between "10" and "Set". Also, spacing of the final bullet point? 

Modeling: 

P5: 

L131: Citation for MATLAB? 

L185: Again, "Section 0" ?  and "Fig. 10Set the....." 

L203: Figure (caption) spacing (as noted above). 

Author Response

First of all, we would like to thank you for the thorough review of our paper (electronics-1222691) and the useful remarks to improve it.

Reviewer 1

Comments to the Authors

Overall, an interesting and generally well presented piece of work. The approach described is sound and of interest to readers of this publication.

The paper could be further enhanced by considering the following minor changes.

Introduction:

P3:

L72: Some data on these errors (with citations to ref sources) would further enhance this section.

Defining the task:

P5:

L127: "Section 0" ?  and "Fig. 10Set the....." - spacing between "10" and "Set". Also, spacing of the final bullet point?

Modeling:

P5:

L131: Citation for MATLAB?

L185: Again, "Section 0" ?  and "Fig. 10Set the....."

L203: Figure (caption) spacing (as noted above).

To Reviewer 1:

            Thank you for your review and valuable remarks.

1. L72: Some data on these errors (with citations to ref sources) would further enhance this section.

• We have added relevant literature related to our claims.

2. L127: "Section 0" ? and "Fig. 10Set the....." - spacing between "10" and "Set". Also, spacing of the final bullet point?; L185: Again, "Section 0" ?  and "Fig. 10Set the....."; L203: Figure (caption) spacing (as noted above).

• We reviewed the formatting of the entire text of the manuscript.

3. L131: Citation for MATLAB?

• Citation added.

Thank you very much for the exact review!

Reviewer 2 Report

The paper considers the synthesis of control of an electro-technological system for induction brazing and its relationship with the guarantee of the parameters and the quality of this industrial process. Based on a created and verified 3D model of the electromagnetic system, the requirements to the system of power electronic converters for obtaining brazing between different common combinations of materials are determined. After processing and summarizing the results, an approach for automatic recognition of the type of material to be brazed is proposed and researched,
as well as switching between different controller settings in order to achieve optimal performance and ease the operator. The advantages of using such an approach based on the use of artificial intelligence techniques are considered, including guidelines for its application and development in
industrial systems with induction heating. Generally, this is a good paper. It can be accepted if the authors can consider the following issues; 1. The motivations and original academic contributions should be well organized. 2.  More comparisons are welcome to show the advantages of artificial intelligence techniques should be given and organized. 3. How about the robustness of the method? More related works are welcome to enrich the literature review such as Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays,Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets. 4. It is better to add some experimental results. 

Author Response

First of all, we would like to thank you for the thorough review of our paper (electronics-1222691) and the useful remarks to improve it.

 Reviewer 2

Comments to the Authors
The paper considers the synthesis of control of an electro-technological system for induction brazing and its relationship with the guarantee of the parameters and the quality of this industrial process. Based on a created and verified 3D model of the electromagnetic system, the requirements to the system of power electronic converters for obtaining brazing between different common combinations of materials are determined. After processing and summarizing the results, an approach for automatic recognition of the type of material to be brazed is proposed and researched, as well as switching between different controller settings in order to achieve optimal performance and ease the operator. The advantages of using such an approach based on the use of artificial intelligence techniques are considered, including guidelines for its application and development in industrial systems with induction heating. Generally, this is a good paper. It can be accepted if the authors can consider the following issues; 1. The motivations and original academic contributions should be well organized. 2.  More comparisons are welcome to show the advantages of artificial intelligence techniques should be given and organized. 3. How about the robustness of the method? More related works are welcome to enrich the literature review such as Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays, Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets. 4. It is better to add some experimental results.

To Reviewer 2:

            Thank you for your review and valuable remarks.

 The motivations and original academic contributions should be well organized.

• An addon has been added to the introduction section, where the purpose of the research is additionally argued.

2. More comparisons are welcome to show the advantages of artificial intelligence techniques should be given and organized.

• Additional literature has been added, where the main techniques based on the application of artificial intelligence in power electronics are discussed.

3. How about the robustness of the method? More related works are welcome to enrich the literature review such as Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays, Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets.

• The aim of the work is to use artificial intelligence to recognize the braze material and subsequent selection of a suitable setpoint for the controller. The synthesis of control is not the subject of the present study and therefore no comparison with the other methods has been made, but the simplest classical PI regulator is used. In conclusion, we have written that such studies are planned for future work.

4. It is better to add some experimental results.

• We have judged the reliability of the presented results in comparison with the system manufactured by Ultraflex Power Technologies [15]. The subject of further research will be the implementation of the algorithm in the controller.

Thank you very much for the exact review!