Monitoring and Control of Paper Web Moisture

Complete text of the article:

Download article (pdf, 1MB )

UDС

676.017.272

DOI:

10.37482/0536-1036-2022-1-188-204

Abstract

Product quality is a key indicator of the positive outcome of pulp and paper production. Moisture content is one of the main paper quality characteristics. The moisture profile across the paper web width shows possible shortcomings of the process equipment which, if corrected, will improve the consumer properties of paper and enhance economic efficiency. The research aims to assess whether the moisture content measurement results meet the requirements of the process regulations in the steady-state and transient modes of paper machine operation as well as the uniformity of the moisture profile in the cross direction. Data from the scanning device at high and low resolution were processed using statistical methods in order to assess the quality of the automatic paper web moisture control system. It was determined that in the steady-state mode of paper machine operation the moisture content meets the requirements of the regulations with a confidence probability of 0.95; in the transient mode of operation it exceeds the upper limit by 6 %. It has been found that the automated moisture control system eliminates this fault in 340 s. The coefficient of variation was used as a criterion for evaluating the uniformity of the moisture profile across the paper web width. The hypothesis of a trend line in the moisture profile across the paper web width was confirmed and a trend line equation was obtained using regression analysis techniques. The moisture profile was modeled while eliminating the technological factor that systematically affects the uniformity. It is proven that the elimination of the fault will reduce the coefficient of variation and therefore improve the uniformity of the profile by 41.2 % in the steady-state mode of paper machine operation. In the transition mode of operation the moisture profile improves slightly. The proposed algorithm for studying the moisture profile of paper, its modeling after corrections of the control object can be used in systems for controlling the quality of paper in the transverse direction.

---

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license • The authors declare that there is no conflict of interest

Authors

Nataliya V. Koryakovskaya¹, Candidate of Engineering, Assoc. Prof.; ORCID: https://orcid.org/0000-0001-6371-6936
Oksana I. Bederdinova², Candidate of Engineering, Assoc. Prof.; ResearcherID: F-3355-2019, ORCID: https://orcid.org/0000-0002-3664-4276

Affiliation

¹Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation; e-mail: n.koryakovskaya@narfu.ru
²Branch of the Northern (Arctic) Federal University named after M.V. Lomonosov, ul. Kapitana Voronina, 6, Severodvinsk, Arkhangelsk Region, 164500, Russian Federation; e‑mail: o.bederdinova@narfu.ru

Keywords

paper web moisture, moisture control, moisture profile, profile uniformity, trend line, control quality, scanning device, moisture scans, paper machine

For citation

Koryakovskaya N.V., Bederdinova O.I. Monitoring and Control of Paper Web Moisture. Lesnoy Zhurnal [Russian Forestry Journal], 2022, no. 1, pp. 188–204. DOI: 10.37482/0536-1036-2022-1-188-204

References

1. Bakhtin A.V., Slyuta M.O. Comparative Analysis of Using Mathematical and Neural Models in Control System of Paper Web Transverse Profile. Matritsa nauchnogo poznaniya, 2018, no. 12, pp. 22–24.
2. Grinchenko I.A., Pozhitkov V.V., Zhukova Yu.S. Improvement of Paper Drying Control Systems. Tsellyuloza. Bumaga. Karton, 2009, no. 01, pp. 80–81.
3. Zhuchenko A.I., Cheryopkin E.S. Problem Statement for Optimal Control of Paper Web Heating in the Drying Part of a Paper Machine. Avtomatizatsіya tekhnologіchnikh і bіznes-protsesіv, 2015, vol. 7, iss. 1, pp. 25–31. DOI: https://doi.org/10.15673/2312-3125.21/2015.42859
4. Lebedev I.V., Kazakov Ya.V. Paper Sheet Texture Simulation. Lesnoy Zhurnal [Russian Forestry Journal], 2017, no. 2, pp. 160-172. DOI: https://doi.org/10.17238/issn0536-1036.2017.2.160
5. Leont’yev V.N., Vaganov V.V. Fundamentals of the Method for Analysis of Dynamic Properties of Automatic Control Systems. Saint Petersburg, Polytech Publ., 2017. 225 p.
6. Orlov A.I. Statistical Hypothesis Testing of Homogeneity of Mathematical Expectations of Two Independent Samples: Cramer-Welch Test Instead of t-Test. Nauchnyy zhurnal KubGAU [Scientific Journal of KubSAU], 2015, no. 110(06), pp. 197–218.
7. Sivakov V.P., Vurasko A.V., Minakova A.R. Influence of Paper Cloth Mass Fluctuations on the Quality of Commercial Products. Sistemy. Metody. Tekhnologii [Systems. Methods. Technologies], 2018, no. 2(38), pp. 133–138. DOI: https://doi.org/10.18324/2077-5415-2018-2-133-138
8. Åkesson J., Ekvall J. Parameter Optimization of a Paper Machine Model. Paper Presented at Reglermöte. Stockholm, Lund University, 2006. 7 p.
9. Batchelor W.J., Wu Z., Johnston R.E. Measurement of z-Direction Moisture Transport and Shrinkage in the Drying of Paper. Proceedings of 56 Appita Annual Conference. Melbourne, Appita Inc., 2002, pp. 111–117.
10. Brinkmann D., Pound C. Sonoco Verifies CD Profile Control Using Advanced Statistical Analysis Method. Pulp & Paper, 2003, vol. 77, no. 5, p. 54.
11. Forughi A.F., Green S.I., Stoeber B. Optical Transparency of Paper as a Function of Moisture Content with Applications to Moisture Measurement. Review of Scientific Instruments, 2016, vol. 87, iss. 2, art. 023706. DOI: https://doi.org/10.1063/1.4942251
12. Hallajisani A., Shahbeig H., Hashemi S.J., Murray Douglas W.J. An Experimental Simulation Model for Coated Paper Drying. Brazilian Journal of Chemical Engineering, 2013, vol. 30, no. 3, pp. 563–573 DOI: https://doi.org/10.1590/S0104-66322013000300014
13. Harrmann M., Schulz S. Convective Drying of Paper Calculated with a New Model of the Paper Structure. Drying Technology, 2007, vol. 8, iss. 4, pp. 667–703. DOI: https://doi.org/10.1080/07373939008959910
14. Haslach Jr. H.W. The Moisture and Rate-Dependent Mechanical Properties of Paper: A Review. Mechanics of Time-Dependent Materials, 2000, vol. 4, iss. 3, pp. 169–210. DOI: https://doi.org/10.1023/A:1009833415827
15. Ikeda T. Appearance Quality Inspection System for Paper Making Industry. JFE Technical Report, 2016, no. 21, pp. 161–167.
16. Keränen J., Paaso J., Timofeev O., Kiiskinen H. Moisture and Temperature Measurement of Paper in the Thickness Direction. Appita, 2009, vol. 62, iss. 4, pp. 308–313.
17. Koedudom T., Yoiyod P. Paper Moisture Content Determination from Microwave Reflection Measurement. 2017 International Symposium on Antennas and Propagation (ISAP). Phuket. 2017, pp. 1–2. DOI: https://doi.org/10.1109/ISANP.2017.8228951
18. Kong L., Liu H. A Static Energy Model of Conventional Paper Drying for Multicylinder Paper Machines. Drying Technology, 2012, vol. 30, iss. 3, pp. 276–296. DOI: https://doi.org/10.1080/07373937.2011.635253
19. Kouko J., Retulainen E., Kekko P. Straining and Relaxation Properties of Wet Paper during Heating. Mechanics of Time-Dependent Materials, 2014, vol. 18, iss. 4, pp. 697–719. DOI: https://doi.org/10.1007/s11043-014-9246-4
20. Lemeshko B.Y., Lemeshko S.B., Semenova M.A. On Application of k-Samples Homogeneity Tests. Applied Methods of Statistical Analysis. Statistical Computation and Simulation, AMSA’2019: Proceedings of the International Workshop. Novosibirsk, NSTU Publ., 2019, pp. 138–151.
21. Lindner M. Factors Affecting the Hygroexpansion of Paper. Journal of Materials Science, 2018, vol. 53, pp. 1–26. DOI: https://doi.org/10.1007/s10853-017-1358-1
22. Lovikka V.A., Rautkari L., Maloney T.C. Changes in the Hygroscopic Behavior of Cellulose Due to Variations in Relative Humidity. Cellulose, 2018, vol. 25, pp. 87–104. DOI: https://doi.org/10.1007/s10570-017-1570-9
23. Pakarinen P., Kiiskinen H., Kekko P., Paltakari J. Drying and Paper Quality. Ch. 7. Papermaking Part 2, Drying. Ed. by M. Karlsson. Helsinki, Paperi ja Puu Oy, 2010, pp. 236–295.
24. Sigifredo N., Guillemette M., Emmond G., Ball J. Canfor Achieves Better Moisture Control, Quality with New Loop Tuning Strategy. Pulp & Paper, 2003, vol. 77, no. 6, pp. 42–46.
25. Stenström S. Drying of Paper: A Review 2000–2018. Drying Technology, 2019, vol. 38, iss. 7, pp. 825–845. DOI: https://doi.org/10.1080/07373937.2019.1596949
26. Yogi R.A., Parolia R.S., Karekar R.N., Aiyer R.C. Microwave Microstrip Ring Resonator as a Paper Moisture Sensor: Study with Different Grammage. Measurement Science and Technology, 2002, vol. 13, iss. 10, pp. 1558–1562. DOI: https://doi.org/10.1088/0957-0233/13/10/308