Authors & references
Edited by:
Professor Emeritus Kauko Leiviskä, University of Oulu
Based on: Leiviskä, K., Process control in the fibre line (Chapter 5). In: Leiviskä, K. (ed), Process and Maintenance Management, (Book 14), Papermaking Science and Technology. 2nd edition. Jyväskylä, 2009, Paper Engineer’s Association/Paperi ja Puu Oy. pp. 95–130.
References:
- Hatton, J.V. 1973. Application of empirical equations to kraft process control. Tappi 56(8):108–111.
- Wallin, G. and Noreus, S. 1973. Computer control of batch digesters. Svensk Papperstidning 76 (9):329–334.
- Smith, C.C. and Williams, T.J. 1975. A kinetic model of kraft pulping reactions. Modeling and control of kraft production systems. Proceedings of ISA symposium Millwaukee, U.S.A., 7–20.
- Wells, C. H., Johns, E. C. and Chapman F. L. 1975. Computer control of batch digesters using a Kappa number model. TAPPI J. 58(8,):177–181.
- Lodzinski, F. P., Karlsson, T. 1976. The ASEA-MoDo Kappa batch system: theory, application considerations and models. TAPPI J. 59(9):88–91.
- Chari, N. C. S. 1973. Integrated control system approach for batch digester control. TAPPI J. 56(7):65–68.
- Jutila E.A.A. 1980. A survey of Kraft cooking control models. Proceedings of IFAC PRP 4 Automation, Ghent, Belgium, 561–573.
- Freedman, B. G. 1976. Model reference control for batch digesters. Chemical Engineering Progress. 72(4):82–86.
- Juračić, D. 1994. Model-based computer control of Kappa number in magnefite pulp cooking. 1994 Proceedings of IEEE International Conference on Control and Applications, 24–26 August, Glasgow, UK.
- Datta, A.K., Lee, J.H., Vanchinathan, S. and Krishnagopalan, G.A. 1994. Model-based monitoring and control of batch pulp digester. Proceedings of the American Control Conference, Baltimore, Maryland.
- Lee, J.H., Datta, A. K. 1994. Nonlinear inferential control of pulp digesters. AIChE Journal. 40(1):50–64.
- Kilian, A. and de Vaal, P. L. 2000. Potential for improved control of an acid sulphite batch digester using a fundamental model. TAPPI Journal 83(11).
- de Vaal, P. and Sandrock, C. 2007. Control of a batch pulp digester using a simplified mechanistic model to predict degree of polymerization. Computers and Chemical Engineering 31 (2007):1222–1230.
- Choi, H-K. and Kwon, J.S-I. 2019. Multiscale modeling and control of Kappa number and porosity in a batch‐type pulp digester. AIChE Journal 65(6).
- Rao, M., Corbin, J. and Wang, Q. 1993. Soft sensors for quality prediction in batcg chemical pulping processes. Proceedings of the 1993 International Symposium on Intelligent Control, Chicago, U.S.A.
- Belarbi, K., Bettou, K. and Mezaache, A. 2000. Fuzzy neural networks for estimation and fuzzy controller design: simulation study for a pulp batch digester. Journal of Process Control 10:35–41.
- Li, V., Zhang, J., Zhu, X.F. and Huang, D.P. 2003. Kappa number prediction by hybrid model for batch pulp cooking process. IFAC Symposium Advanced Control of Chemical Processes, Hong Kong, China, 2003.
- Leiviskä K. 2009. Elman Network in Kappa Number Prediction. -Proceedings, ICONS 2009. The 2nd IFAC Conference, Intelligent Control Systems. Istanbul, Turkey.
- Singh, R. D. 2012. FLC and PLC based Process Optimization and Control of Batch Digester in Pulp and Paper Mill. Research Journal of Engineering Sciences 1(2):51–62.
- Dorsey, A.W. and Lee, J.H. 1999. Subspace identification for batch processes. Proceedings of the American Control Conference, San Diego, California.
- Kesavan, P., Lee, J.H., Saucedo, V. and Krishnagopalan, G.A. 2000. Partial least squares (PLS) based monitoring and control of batch digesters. Journal of Process Control 10:229–236.
- Champagne, M. and Monette, R. 2002. Batch multivariate SPC monitoring of a sulfide pulp digester. Proceedings of the American Control Conference, Anchorage, May 8–10, 2002.
- Lee, J.H. and Dorsey, A.W. 2004. Monitoring of Batch Processes through State-Space Models. AIChE Journal 50(6):1198–1210.
- Wells, C. H. 1990. Effective alkali sensors for batch digester control. TAPPI J. Vol. 73, Issue 3, pp. 181–187. ISSN 0734–1415.
- Masura, V. 1999. A mathematical model of kraft pulping related to the alkali concentration in the cooking liquor. Wood science and technology: 1999:381–389.
- Paulonis, M.A.; Krishnagopalan, A. 1990. Kraft liquor alkali analysis using an in situ conductivity sensor. TAPPI J. 73(6):205–211.
- Courchene, C., Suh, S. and McDonough, T.J. 1994. Evaluation of conductivity sensors for alkali determination in kraft white liquors. Tappi J. 77(7):101–108.
- Tikka, P. O., Virkola, N. -E. 1986. A new Kraft pulping analyzer for monitoring organic and inorganic substances. TAPPI J. 69(6):66–71.
- Lemmetti, A., Leiviskä, K. and Sutinen, R. 1998. Kappa number prediction based on cooking liquor measurements. Report A No 5. Control Engineering Laboratory. University of Oulu.
- Paulonis, M. A., Krishnagopalan, A. 1991. Adaptive inferential control of Kraft batch digesters as based on pulping liquor analysis. TAPPI J. Vol. 74, Issue 6, pp. 169–175. ISSN 0734–1415.
- Kubulnieks, E., Lundqvist, S-O. and Pettersson, T. 1987. The STFI OPTI-Kappa analyzer. Applications and accuracy. TAPPI J. 70(11):38–42.
- Yeager, R. 1989. Online K Number Analysis Smoothens Fiberline Operation. at Northwood Kraft. Pulp and Paper, 72(9):87–88, 91–92.
- Agneus, L. and Damlin, A. 1992. Optimal process control with on-line Kappa Number analysis. Pulp and Paper Canada 59(2):T32–T36.
- Mathur, A., Andersson, N. and Damlin, S-A. 2014. Proven alternatives to multi-point kappa analysers for enhanced pulp mill process control. Appita 67(4):268–269.
- Vanchinathan, S., Ananth, S., Jarvis, J.M. and Krishnagopaln, G.A. 1996. Kraft liquor alkali analysis using near-infrared spectroscopy. Tappi J. 79(10):187–191.
- Andersson, N., Wilson, D.I. and Germgård U. 2002. Validating continuous kraft digester kinetic models with online NIR measurements. Proceedings of the American Control Conference, Anchorage, AK, USA. May 8–10.
- Hodges, R., Cullinan, H., and Krishnagopalan, G.A., Recent advances in the commercialization of NIR (near-infrared) based liquor analyzers in the pulping and recovery area, Tappi Journal, 5(11):3 (2006).
- Kester, M., Trung, T., Leclerc, D., and Carver, J., Online determination of kraft liquor constituents by Fourier-transform near infrared spectroscopy, Journal of pulp and paper science, 30(5):121(2004).
- Trung, T. and Allison, B. 2015. Advanced online process analyzer for chemical recovery and pulp mill control. O PAPEL 76(1):47–56.
- Trung, T., Downes, G., Meder, R. and Allison, B. 2015. Pulp mill and chemical recovery control with advanced analysers – from trees to final product. Appita 68(1):39–46.
- Shen, W.H., Liu, H.B. and Xie, Y.M. 2002. Study of on-line measurement of pulp kappa number with spectrometry during pulping. Proceedings of the TAPPI Technology Summit, Atlanta, Ga, United States, March 3–7, 2002; TAPPI Press: Atlanta, Ga, U.S.A.:16–21.
- Shen, W.H. and Chen, X.Q. 2009. Measuring and Controlling Model of Pulp Kappa Number with Spectroscopy during Batch Sulfite Pulping Process. Ind. Eng. Chem. Res. 2009, 48, 8980–8984