Erään hienopaperikoneen paksuusprofiilin hallinta

Työn kirjallisuusosassa perehdytään paperikoneen online-mittarien toimintaan, poikkisuuntaisten profiilien säätämiseen ja kalanterointiin. Työn tavoitteena oli löytää syyt erään hienopaperikoneen heikkoon paksuusprofiiliin ja siitä aiheutuvaan suureen rullahylkymäärään. Syitä heikkoon paksuusprofiiliin on haettu kalanterin, päällystysasemien ja laatusäätöjärjestelmän toiminnoista. Työssä on tutkittu myös karheusprofiilin vaikutusta paksuusmittaukseen. Työssä löydettiin selvä yhteys paperin karheusprofiilin ja paperikoneen paksuusmittarin mittaaman paksuusprofiilin välille. Radan reuna-alueiden karheus suurentaa online-paksuusmittarin mittaustulosta. Karheusprofiili ei kuitenkaan vaikuta laboratoriomittareilla mitattuun paksuusprofiiliin. Paperikoneen onlinepaksuusmittarin mittausvirhe on kompensoitava, jotta paperin todellinen paksuusprofiili saadaan suoraksi. Työssä tehtyjen tutkimusten perusteella muodostettiin ajomalli, jolla ajettiin koeajojakso. Ajomallin päällimmäinen tarkoitus oli kompensoida paperikoneen online- paksuusmittarin mittausvirhe. Koeajo onnistui hyvin. Koeajojakson profiilivioista johtuva rullahylyn määräoli merkittävästi pienempi kuin referenssijakson profiilivioista johtuva rullahylyn määrä.

Improving Cross Direction Basis Weight Profile in a Fourdrinier Paper Machine

The purpose of this study was to improve PM7’s basis weight CD profile in Stora Enso’s Berghuizer mill and to search mechanical defects which affect to the formation of the basis weight CD profile. In the theoretical part PM7’s structure was presented and the formation of the basis weight and caliper CD profiles was examined as well as disturbances which are affecting to the formation. The function of the control system was scrutinised for the side of CD profiles as well as the formation of the measured CD profiles. Tuning of the control system was examined through the response model and filtering. Specification of the response model and filtering was explained and how to determine 2sigma statistical number. In the end of the theoretical part ATPA hardware and a new profile browser were introduced. In the experimental part focus was in the beginning to search and remove mechanical defects which are affecting to CD profiles. The next step was to verify the reliability of the online measurements, to study the stability of the basis weight CD profile and to find out so called fingerprint, a basis weight CD profile which is unique for each paper machine. New response model and filtering value for basis weight CD profile was determined by bump tests. After a follow up period the affect of the new response model and filtering was analysed.

Simulating the performance of paper machine control

The topic of this thesis is the simulation of a combination of several control and data assimilation methods, meant to be used for controlling the quality of paper in a paper machine. Paper making is a very complex process and the information obtained from the web is sparse. A paper web scanner can only measure a zig zag path on the web. An assimilation method is needed to process estimates for Machine Direction (MD) and Cross Direction (CD) profiles of the web. Quality control is based on these measurements. There is an increasing need for intelligent methods to assist in data assimilation. The target of this thesis is to study how such intelligent assimilation methods are affecting paper web quality. This work is based on a paper web simulator, which has been developed in the TEKES funded MASI NoTes project. The simulator is a valuable tool in comparing different assimilation methods. The thesis contains the comparison of four different assimilation methods. These data assimilation methods are a first order Bayesian model estimator, an ARMA model based on a higher order Bayesian estimator, a Fourier transform based Kalman filter estimator and a simple block estimator. The last one can be considered to be close to current operational methods. From these methods Bayesian, ARMA and Kalman all seem to have advantages over the commercial one. The Kalman and ARMA estimators seems to be best in overall performance.