Studies in offset ink setting

The offset printing process is complex and involves the meeting of two essentially complex materials, printing ink and paper, upon which the final product is formed. It can therefore be expected that a multitude of chemical and physical interactions and mechanisms take place at the ink-paper interface. Interactions between ink and paper are of interest to both the papermakers and ink producers, as they wish to achieve better quality in the final product. The objective of this work is to clarify the combined influence of paper coating structure, printing ink and fountain solution on ink setting and the problems related to ink setting. A further aim is to identify the mechanisms that influence ink setting problems, and to be able to counteract them by changing properties of the coating layer or by changing the properties of the ink. The work carried out for this thesis included use of many techniques ranging from standard paper and printability tests to advanced optical techniques for detection of ink filaments during ink levelling. Modern imaging methods were applied for assessment of ink filament remain sizes and distribution of ink components inside pigment coating layers. Gravimetric filtration method and assessment of print rub using Ink-Surface-Interaction-Tester (ISIT) were utilized to study the influence of ink properties on ink setting. The chemical interactions were observed with the help of modified thin layer chromatography and contact angle measurements using both conventional and high speed imaging. The results of the papers in this thesis link the press operational parameters to filament sizes and show the influence of these parameters to filament size distribution. The relative importance between the press operation parameters was shown to vary. The size distribution of filaments is important in predicting the ink setting behaviour, which was highlighted by the dynamic gloss and ink setting studies. Prediction of ink setting behaviour was also further improved by use of separate permeability factors for different ink types in connection to filtration equations. The roles of ink components were studied in connection to ink absorption and mechanism of print rub. Total solids content and ratio of linseed oil to mineral oil were found to determine the degree of print rub on coated papers. Wax addition improved print rub resistance, but would not decrease print rub as much as lowering the total solids content in the ink. Linseed oil was shown to absorb into pigment coating pores by mechanism of adsorption to pore walls, which highlights the need for sufficient pore surface area for improved chromatographic separation of ink components. These results should help press operators, suppliers of printing presses, papermakers and suppliers to papermakers, to better understand the material and operating conditions of the press as it relates to various print quality issues. Even though paper is in competition with electronic media, high quality printed products are still in demand. The results should provide useful information for this segment of the industry.

A Bayesian Approach for Forecasting Heat Load in a District Heating System

The growing population in cities increases the energy demand and affects the environment by increasing carbon emissions. Information and communications technology solutions which enable energy optimization are needed to address this growing energy demand in cities and to reduce carbon emissions. District heating systems optimize the energy production by reusing waste energy with combined heat and power plants. Forecasting the heat load demand in residential buildings assists in optimizing energy production and consumption in a district heating system. However, the presence of a large number of factors such as weather forecast, district heating operational parameters and user behavioural parameters, make heat load forecasting a challenging task. This thesis proposes a probabilistic machine learning model using a Naive Bayes classifier, to forecast the hourly heat load demand for three residential buildings in the city of Skellefteå, Sweden over a period of winter and spring seasons. The district heating data collected from the sensors equipped at the residential buildings in Skellefteå, is utilized to build the Bayesian network to forecast the heat load demand for horizons of 1, 2, 3, 6 and 24 hours. The proposed model is validated by using four cases to study the influence of various parameters on the heat load forecast by carrying out trace driven analysis in Weka and GeNIe. Results show that current heat load consumption and outdoor temperature forecast are the two parameters with most influence on the heat load forecast. The proposed model achieves average accuracies of 81.23 % and 76.74 % for a forecast horizon of 1 hour in the three buildings for winter and spring seasons respectively. The model also achieves an average accuracy of 77.97 % for three buildings across both seasons for the forecast horizon of 1 hour by utilizing only 10 % of the training data. The results indicate that even a simple model like Naive Bayes classifier can forecast the heat load demand by utilizing less training data.

Structural and operational optimisation : applications in energy systems

In this work mathematical programming models for structural and operational optimisation of energy systems are developed and applied to a selection of energy technology problems. The studied cases are taken from industrial processes and from large regional energy distribution systems. The models are based on Mixed Integer Linear Programming (MILP), Mixed Integer Non-Linear Programming (MINLP) and on a hybrid approach of a combination of Non-Linear Programming (NLP) and Genetic Algorithms (GA). The optimisation of the structure and operation of energy systems in urban regions is treated in the work. Firstly, distributed energy systems (DES) with different energy conversion units and annual variations of consumer heating and electricity demands are considered. Secondly, district cooling systems (DCS) with cooling demands for a large number of consumers are studied, with respect to a long term planning perspective regarding to given predictions of the consumer cooling demand development in a region. The work comprises also the development of applications for heat recovery systems (HRS), where paper machine dryer section HRS is taken as an illustrative example. The heat sources in these systems are moist air streams. Models are developed for different types of equipment price functions. The approach is based on partitioning of the overall temperature range of the system into a number of temperature intervals in order to take into account the strong nonlinearities due to condensation in the heat recovery exchangers. The influence of parameter variations on the solutions of heat recovery systems is analysed firstly by varying cost factors and secondly by varying process parameters. Point-optimal solutions by a fixed parameter approach are compared to robust solutions with given parameter variation ranges. In the work enhanced utilisation of excess heat in heat recovery systems with impingement drying, electricity generation with low grade excess heat and the use of absorption heat transformers to elevate a stream temperature above the excess heat temperature are also studied.

Estimates of genetic parameters of trotting performance traits for repeated annual records

Selostus: Ravihevosten jalostettavia ominaisuuksia kuvaavien kilpailumittojen perinnölliset tunnusluvut

Genetic parameters for growth traits in pigs estimated using third degree polynomial functions

Selostus: Sian kasvuominaisuuksien perinnölliset tunnusluvut arvioituna kolmannen asteen polynomifunktion avulla

A method for using random parameters in analyzing permanent sample plots

Summary

Estimation of genetic parameters for test-day milk production at different stages of lactation of Finnish Ayrshire heifers

Selostus: Ayrshire-ensikoiden koelypsykohtaisen maidontuotannon perinnölliset tunnusluvut laktaation eri vaiheissa

Progeny Trial Estimates of Genetic Parameters for Growth and Quality Traits in Scots Pine

Summary

Effects of group size and early handling on some behavioural and physiological welfare parameters in farmed blue foxes

Selostus: Ryhmäkoon ja varhaisen käsittelyn vaikutus tarhattujen sinikettujen hyvinvointiin

Effects of group size and space allocation on physiological, behavioural and production-related welfare parameters in farmed silver fox cubs

Selostus: Ryhmäkoon ja käytössä olevan tilan vaikutus tarhattujen hopeakettupentujen hyvinvointiin

Temporal trends in chemical parameters of upland forest soils in southern Finland

Abstract

Use of individual race results in the estimation of genetic parameters of trotting performance for Finnhorse and Standardbred trotters

Selostus: Ravikilpailumenestysmittojen periytymisasteet ja toistumiskertoimet kilpailukohtaisten tulosten perusteella

Repeatability ofthe recipe parameters of a corrugated board machine against warp

The warp of corrugated board is the most prevalent quality problem incorrugated board industry. Nowadays corrugators provide high quality board but there often occurs a warp problem within the production of some board grades. One of the main reasons for that are the humidity and the temperature levels of the raw materials. The goal of the research is to find out howthe adjusted corrugator recipe parameters required for appropriate running of the corrugated board are repeatable for the considered board grades, how the temperature and humidity imbalances of the raw material papers influence on the warpformation of the finished board. Furthermore, the solutions for preventing warpof corrugated board are presented in the thesis.

Painehiomalinjan käyttövarmuus ja sen parantaminen

Diplomityön tavoitteena oli tutkia painehiomalinjan käyttövarmuutta ja kartoittaa tuotannolle kriittisiä laitteita. Pyrkimyksenä oli parantaa käytönaikaista käytettävyyttä. Lisäksi työssä tutkittiin kahden eri käyttövarmuussuunnittelun apuna käytettävän ohjelmiston soveltuvuutta paperiteollisuuden käyttöön. Tutkimuksissa käytettiin menetelminä haastatteluja ja analyysejä, joista tärkeimmät tulokset saatiin käyttöhenkilökunnan haastattelusta sekä vikatilastojen analyysistä. Lisäksi perehdyttiin tarkemmin erityisen häiriöherkkiin ja kriittisiin laitteisiin. Käyttövarmuusohjelmistoja testattiin eri parametrien arvoilla jatuloksista pyrittiin päättelemään ohjelmistojen luotettavuutta. Tarkastelussa huomattiin, että käyttövarmuuden parantaminen on mahdollista ilman suurempia investointeja. Tähän päästään paremmalla työn ohjeistuksella, sekä käyttövarmuussuunnittelua parantamalla. Parannustarvetta löytyi myös laitteiden kunnonseurannasta sekä huoltosuunnitelmista.

Esituotannon aikainen konseptien verifiointi muovituotteen valmistusessa

 Diplomityön tavoitteena on tutkia ja kehittää muovituotteen valmistuskonseptien verifiointimenetelmiä ja luoda malli, jolla saadaan esituotantovaiheestalähtien parannettu tuotantoprosessi massatuotannon aloittamiseen (ramp up). Työn tavoitteena on myös toimia viestintäkeinona lisäämässä organisaation tietoisuutta esituotantovaiheen tärkeydestä. Työ pohjautuu tekijän aikaisempaan tutkimukseen "esituotantoprosessista oppimisen vaikutukset massatuotannon aloitukseen", joka on tehty erikoistyönä v.2006. Tutkimus menetelminä on käytetty pääasiassa prosessien kuvaamista, benchmarkingia, asiantuntijoiden haastatteluja sekä analysoitu toteutuneita projekteja. Lopputuloksena on saatu toimintamalli, joka vastaa hyvin pitkälle prosessien kuvausten aikana syntynyttä mallia. Keskeisenä ajatuksena on valmistuskonseptin verifioinnin kytkeminen tuotteen mekaniikkasuunnittelun kypsyyteen. Koko projektia koskevien tavoitteiden määrittäminen johdetaan ramp up tavoitteista. Verifioitavaksi valitaan kriittisin tuote ja prosessi. Tähän on teoreettisena viitekehyksenä käytetty Quality Function Deployment (QFD) menetelmää. Jatkotoimenpiteiksi esitetään ramp up tavoitteiden ja mittareiden kehittämistä, joilla pystytään seuraamaan ja ohjaamaan projektia jo heti alusta alkaen. Lisätutkimusta tarvitaan myös esituotannon aikaisten prosessiparametrien suunnitteluun ja optimointiin.