A Smart Digital Twin to Stabilize Return Sand Temperature without Using Coolers
Round 1
Reviewer 1 Report
This paper presented a smart digital twin to stabilize return sand temperature without using coolers. Revision is suggested for this paper.
The difference between your digital twins-based method and other methods is unclear. Is any theoretical innovation in the mathematic model inserted in the digital twin system?
How to realize the online parallel controlling in the cyber model and feedback on the adjustment instructions to the physical system is unclear in this paper. For instance, digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems. The authors may give more discussions on the implementation details.
Please enhance the discussions on the future research directions.
Author Response
Dear Reviewer 1,
thank you for your comments.
Regarding your comment about the difference between our approach and the other methods, lines 64-69 tries to define why ancient systems are unclear. Morover, in lines 70-82 we have added more information trying to meet you requirements.
The discussion section have been reviewed and we tried to clarify all information related to further work.
Moreover, in order to calrify how the connection between the digital world and the real world is done, we have create a new section (2.6. Feedback to the plant)
We hope that our improvements enhace the final quality of our paper.
Best regards.
Reviewer 2 Report
A very interesting article but I have a few comments:
- Fig. 5 change the markings on the axes instead of a comma there should be a dot, the same in R2=0.9019
Fig. 6 - the same my comment
Fig 8. - dot in function y=..... and dot i R2=0.9905 and Y axe
also dot patterns, e.g. in pattern 4
in Fig. 9, please insert the data (figures) above the bars
There could be more literature on Industry 4.0 and digital twins
Author Response
Dear Reviewer 2,
thank you for your comments. We have been working in order to meet them and improve the quality of the paper. Hence, we have change all figures using dot as decimal separator. Morover we hav also changes Fig. 7, where there are also some commas in minimum sand/metal ratio values.
Regarding the literature, we have included the following references:
* Kozłowski, J., Sika, R., Górski, F., & Ciszak, O. (2018, June). Modeling of foundry processes in the era of industry 4.0. In Design, Simulation, Manufacturing: The Innovation Exchange (pp. 62-71). Springer, Cham.
* KOVAČEVIĆ, L., OLIVEIRA, R., TEREK, P., TEREK, V., PRISTAVEC, J., & ŠKORIĆ, B. (2020). i in.: The Direction of Foundry Industry: Toward the Foundry 4.0. Journal of Mechatronics, Automation and Identification Technology, 5(3), 23-28.
* Doroshenko, V. S., & Tokova, O. V. (2020). The Examples of Digitalization of Foundry Production: Virtual Engineering, Digital Twin, Additive Technologies. Control systems & computers.
* Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016-1022.
We hope that our improvements enhace the final quality of our paper.
Best regards.
Reviewer 3 Report
In this paper is present a control methodology, based on a digital architecture that, governed by an intelligent digital twin allows us to know the real situation and the current rate of production, providing suggestions for water additions. The obtained system reduces the average temperature and its variation, as well as eliminate temperature peaks, giving a more controlled manufacturing process.
Conclusions must be more clearly.
English language and style are fine/minor spell check required.
Comments for author File: 
Comments.pdf
Author Response
Dear reviewer 3,
thanks for your comments. In order to improve the quality of our paper we have done the following tasks:
- Discusion and Conclusions: We have reviewed and clarified.
- English and style: All authors have done its particular review.
Best regards.
