Stora Enso Kvarnsveden är ett pappersbruk lokaliserat vid Dalälven i Kvarnsveden. Bruket har för tillfället två producerande maskiner och detta arbete behandlar en av dem, vilken är PM12. På PM12 har man problem med oljeläckage i maskinens torkparti. Läckagen uppstår genom de lagerhus som finns för att bära upp torkpartiets valsar. I detta arbete har man undersökt vad läckagen beror på med fokus på dess lagertätningar. Syftet och målet med detta arbete har varit att utreda varför läckagen uppstår samt att generera koncept för att minska eller helt eliminera läckagen. Arbetet har innefattat diverse mätningar och utredningar för att komma till rätta med problemet. En litteraturstudie har genomförts för att identifiera felorsaker samt lösningar. Koncept har genererats utifrån studien samt de mätningar som utförts. Man har inte under arbetets gång helt kommit fram till vad läckagen beror på men man har kommit en bra bit på vägen. Förslag till fortsatt arbete har getts där det rekommenderas mer specifikt vilka typer av mätningar som bör genomföras samt de koncept man som bör bygga vidare på. / Stora Enso Kvarnsveden is a paper mill located at Dalälven in Kvarnsveden. The utility currently has two producing machines, and this study deals with one of them, which is PM12. At PM12 there is a problem with oil leaks in the machine's drying section. Leakage occurs through the bearing houses who are there to support the dryer's rollers. In this study, it has been investigated what the leakage is due to focusing on its bearing seals. The purpose of this study has been to investigate why leakage occurs and to generate concepts to reduce or eliminate leaks. The study has included various measurements and investigations to address the problem. A literature study has been conducted to identify causes and solutions. Concepts have been generated from the literature study as well as the measurements that have been taken. After this study it´s not fully realized why the leakage occurs, but it had come a long bit on the way. Proposals for continued work have been given, where it is recommended more specifically what kind of measurements that should be done and the concepts that should be further developed.

This thesis presents a grey-box model of the temperature and moisture content for each layer of the multi-ply paperboard inside the drying section of a paper mill. The distribution of the moisture inside the board is an important variable for the board quality, but is unfortunately not measured on-line. The main goal of this work is a model that predicts the moisture evolution during the drying, to be used by operators and process engineers as an estimation of the unmeasurable variables inside the drying section. Drying of carton board is a complex and nonlinear process. The physical phenomena are not entirely understood and the drying depends on a number of unknown parameters and unmodelled or unmeasurable features. The grey-box modelling approach, which consists in using the available measurements to estimate the unknown disturbances, is therefore a suitable approach for modelling the drying section. A major problem encountered with the modelling of the drying section is the lack of measurements to validate the model. Consequently, the correctness and uniqueness of the estimated variables and parameters are not guaranteed. We therefore carry out observability and identifiability analyses and the results suggest that the selected model structure is observable and identifiable under the assumption that specific measurements are available. Based on this analysis, static measurements in the drying section are carried out to identify the parameters of the model. The parameters are identified using one data set and the results are validated with other data sets. We finally simulate the model dynamics to investigate if predicting the final board properties on-line is feasible. Since only the final board temperature and moisture content are measured on-line, the variables and parameters are neither observable nor identifiable. We therefore regard the predictions as an approximation of the estimated variables. The semiphysical model is complemented with a nonlinear Kalman filter to estimate the unmeasured inputs and the unmodelled disturbances. Data simulations show a good prediction of the final board temperature and moisture content at the end of the drying section. The model could therefore possibly be used by operators and process engineers as an indicator of the board temperature and moisture inside the drying section. / QC 20101112

This specific-purpose mathematical model was developed for the drying process in a multi-cylinder drying section. The unsteady state of one-dimensional heat conduction equation has been applied to mathematical model of both, cylinder shell and paper web. The internal mass transfer of the paper web has not been included in this work. The calculations of the simulation program use an implicit numerical method. The drying path length along the machine direction has been divided into 4 drying phases for each drying cylinder. Each drying phase has been divided in small sub-elements. In each sub-element, the heat and mass transfer across boundary conditions have been solved simultaneously in the simulation program, which runs with MatLAB®.

<p>This thesis presents a grey-box model of the temperature and moisture content for each layer of the multi-ply paperboard inside the drying section of a paper mill. The distribution of the moisture inside the board is an important variable for the board quality, but is unfortunately not measured on-line. The main goal of this work is a model that predicts the moisture evolution during the drying, to be used by operators and process engineers as an estimation of the unmeasurable variables inside the drying section.</p><p>Drying of carton board is a complex and nonlinear process. The physical phenomena are not entirely understood and the drying depends on a number of unknown parameters and unmodelled or unmeasurable features. The grey-box modelling approach, which consists in using the available measurements to estimate the unknown disturbances, is therefore a suitable approach for modelling the drying section.</p><p>A major problem encountered with the modelling of the drying section is the lack of measurements to validate the model. Consequently, the correctness and uniqueness of the estimated variables and parameters are not guaranteed. We therefore carry out observability and identifiability analyses and the results suggest that the selected model structure is observable and identifiable under the assumption that specific measurements are available. Based on this analysis, static measurements in the drying section are carried out to identify the parameters of the model. The parameters are identified using one data set and the results are validated with other data sets.</p><p>We finally simulate the model dynamics to investigate if predicting the final board properties on-line is feasible. Since only the final board temperature and moisture content are measured on-line, the variables and parameters are neither observable nor identifiable. We therefore regard the predictions as an approximation of the estimated variables. The semiphysical model is complemented with a nonlinear Kalman filter to estimate the unmeasured inputs and the unmodelled disturbances. Data simulations show a good prediction of the final board temperature and moisture content at the end of the drying section. The model could therefore possibly be used by operators and process engineers as an indicator of the board temperature and moisture inside the drying section.</p>

Ahlstrom-Munksjo is a global company within the paper industry. Their mill in Billingsfors was in need of an energy audit, localizing energy ows within the mill. An energy audit is a good tool for any company to get a good overview picture of their energy usage of the examined system, it is also seen as the rst stage for an energy-saving strategy. On the Billingsfors mill, the energy audit is included in the continuous work of increasing their energy eciency in order to keep up with the new regulations and advancements in this industry sector. The energy audit was done on the whole mill with focus on the paper production and the district heating system. More detailed information about the paper production, a comparative study of two paper machines, PM2 and PM6, is also presented. The reason for the comparative study on PM2 and PM6 was due to an unexpectedly high recorded gas consumption from PM2. The two paper machines were believed to be similar enough to compare them without any deeper knowledge of the machines. They were also compared to a reference machine, representing an average machine with similar setup. The comparisons showed that PM2 does in fact have a higher gas consumption than PM6. To identify the reason for the higher consumption the dry solid contents of PM2 needs to be examined. The two machines do not have the exact same process when producing paper and a more detailed comparative study should be done for a better understanding of the high gas consumption. However, the two machines have a lower gas consumption than the reference machine, this meaning they both have a relatively low gas consumption.

This specific-purpose mathematical model was developed for the drying process in a multi-cylinder drying section. The unsteady state of one-dimensional heat conduction equation has been applied to mathematical model of both, cylinder shell and paper web. The internal mass transfer of the paper web has not been included in this work. The calculations of the simulation program use an implicit numerical method. The drying path length along the machine direction has been divided into 4 drying phases for each drying cylinder. Each drying phase has been divided in small sub-elements. In each sub-element, the heat and mass transfer across boundary conditions have been solved simultaneously in the simulation program, which runs with MatLAB®.