Pricing anomalies in the Finnish stock market

The aim of this thesis is to examine whether the pricing anomalies exists in the Finnish stock markets by comparing the performance of quantile portfolios that are formed on the basis of either individual valuation ratios, composite value measures or combined value and momentum indicators. All the research papers included in the thesis show evidence of value anomalies in the Finnish stock markets. In the first paper, the sample of stocks over the 1991-2006 period is divided into quintile portfolios based on four individual valuation ratios (i.e., E/P, EBITDA/EV, B/P, and S/P) and three hybrids of them (i.e. composite value measures). The results show the superiority of composite value measures as selection criterion for value stocks, particularly when EBITDA/EV is employed as earnings multiple. The main focus of the second paper is on the impact of the holding period length on performance of value strategies. As an extension to the first paper, two more individual ratios (i.e. CF/P and D/P) are included in the comparative analysis. The sample of stocks over 1993- 2008 period is divided into tercile portfolios based on six individual valuation ratios and three hybrids of them. The use of either dividend yield criterion or one of three composite value measures being examined results in best value portfolio performance according to all performance metrics used. Parallel to the findings of many international studies, our results from performance comparisons indicate that for the sample data employed, the yearly reformation of portfolios is not necessarily optimal in order to maximally gain from the value premium. Instead, the value investor may extend his holding period up to 5 years without any decrease in long-term portfolio performance. The same holds also for the results of the third paper that examines the applicability of data envelopment analysis (DEA) method in discriminating the undervalued stocks from overvalued ones. The fourth paper examines the added value of combining price momentum with various value strategies. Taking account of the price momentum improves the performance of value portfolios in most cases. The performance improvement is greatest for value portfolios that are formed on the basis of the 3-composite value measure which consists of D/P, B/P and EBITDA/EV ratios. The risk-adjusted performance can be enhanced further by following 130/30 long-short strategy in which the long position of value winner stocks is leveraged by 30 percentages while simultaneously selling short glamour loser stocks by the same amount. Average return of the long-short position proved to be more than double stock market average coupled with the volatility decrease. The fifth paper offers a new approach to combine value and momentum indicators into a single portfolio-formation criterion using different variants of DEA models. The results throughout the 1994-2010 sample period shows that the top-tercile portfolios outperform both the market portfolio and the corresponding bottom-tercile portfolios. In addition, the middle-tercile portfolios also outperform the comparable bottom-tercile portfolios when DEA models are used as a basis for stock classification criteria. To my knowledge, such strong performance differences have not been reported in earlier peer-reviewed studies that have employed the comparable quantile approach of dividing stocks into portfolios. Consistently with the previous literature, the division of the full sample period into bullish and bearish periods reveals that the top-quantile DEA portfolios lose far less of their value during the bearish conditions than do the corresponding bottom portfolios. The sixth paper extends the sample period employed in the fourth paper by one year (i.e. 1993- 2009) covering also the first years of the recent financial crisis. It contributes to the fourth paper by examining the impact of the stock market conditions on the main results. Consistently with the fifth paper, value portfolios lose much less of their value during bearish conditions than do stocks on average. The inclusion of a momentum criterion somewhat adds value to an investor during bullish conditions, but this added value turns to negative during bearish conditions. During bear market periods some of the value loser portfolios perform even better than their value winner counterparts. Furthermore, the results show that the recent financial crisis has reduced the added value of using combinations of momentum and value indicators as portfolio formation criteria. However, since the stock markets have historically been bullish more often than bearish, the combination of the value and momentum criteria has paid off to the investor despite the fact that its added value during bearish periods is negative, on an average.

A Method for reducing throughput-time in industrial electronics

Lyhyet toimitusajat tuovat yrityksille kilpailuetua nopeasti muuttuvassa teollisuusympäristössä. Tämän diplomityön ensisijaisena tavoitteena on löytää kirjallisuuden avulla yrityksen käyttöön soveltuva menetelmä, joka soveltuu systemaattiseen läpimenoaikojen lyhentämiseen. Tärkeää on myös varmistaa valitun menetelmän soveltuvuus kohdeyrityksen ympäristöön. Työn toisena tavoitteena on ymmärtää, että minkälaisella panostuksella yhden päivän läpimenoaika voidaan saavuttaa. Kirjallisuustutkimuksen avulla on valittu tarkoitukseen sopiva toimintamalli. Menetelmä on testattu yhdellä tuotantolinjalla ja saadut tulokset sekä palaute osoittavat, että se näyttäisi soveltuvan kohdeyrityksen käyttöön. Tuotantolinjalle on tehty toimintasuunnitelma yhden päivän toimitusajan saavuttamiseksi vuoden 2013 aikana. Haasteen laajuutta koko kohdeyrityksessä on tutkittu erillisessä ideointisessiossa. Session tulosten perusteella on tehty prioriteettilista, joka antaa käsityksen toimitusajan merkittävän lyhentämisen vaatimuksista. Yleisesti ottaen kysynnän vaihtelun hallinta on suurin haaste, mutta useita ratkaisuvaihtoehtoja tämän hallitsemiseksi on tunnistettu.

Design of RFID-system for industrial after-sale service

RFID-tekniikka on radiotaajuudella toimivaa etätunnistusta, jossa hyödynnetään RFID-tunnisteiksi kutsuttuja tageja, sekä RFID-lukijoita. RFID-tekniikan käyttökohteet ovat erittäin laajat. Tässä kandidaatintyössä tutkitaan RFID-tekniikan hyödyntämismahdollisuuksia teollisuuden huoltopalvelusuhteessa. Työ keskittyy huollettavien laitteiden etätunnistamiseen mobiileja RFID-lukijoita hyödyntäen. Laitteiden tiedot noudetaan olemassa olevasta tietokannasta web-käyttöliittymän kautta. Koska laitteet koostuvat pääosin metallista, joudutaan tunnistetyyppien valintaa pohtimaan tarkasti. Metallipinnat sekä nesteet vaikuttavat erittäin negatiivisesti useiden tunnisteiden lukuetäisyyteen. Työssä keskitytään vaadittavan järjestelmän suunnittelemiseen aikaisempia tutkimuksia hyödyntäen, mutta itse järjestelmän toteutus ei kuulu tähän kandidaatintyöhön. Lopussa järjestelmän alustava suunnitelma esitellään.

Teollisten Ratkaisujen Hinnoittelu

Tämä kandidaatintyö käsittelee ratkaisujen hinnoittelua. Työn tavoitteena on esitellä eri ratkaisutyypeille sopivia hinnoittelumalleja. Ratkaisutyypit on jaoteltu työssä Ulagan ja Reinartzin (2011) mukaan neljään eri luokkaan: tuotteen elinkaaripalvelut, voimavaroja tehostavat palvelut, prosessia tukevat palvelut ja prosessin delegaatiopalvelut. Käsiteltävät hinnoittelumallit ovat Sharman ja Iyerin (2011) viitekehyksestä perinteiset hinnoittelumallit, tiedon epäsymmetrisyyteen perustuvat hinnoittelumallit ja arvontuottoon perustuvat hinnoittelumallit. Lisäksi työssä käsitellään leasing-hinnoittelua ja mallien yhdistämistä. Työssä esitellään ratkaisuille hinnoitteluprosessi sekä viitekehys, joiden avulla tietyn tyyppiselle ratkaisulle löydetään sopivin hinnoittelumalli. Perinteiset hinnoittelumallit harvoin sopivat ratkaisuille, sillä niiden tavoitteet eivät ole oleellisia ratkaisumyynnin tavoitteiden kannalta. Ratkaisuille sopiikin paremmin juuri niille suunnatut hinnoittelumallit. Eri ratkaisutyypeille sopivia hinnoittelumalleja on useita, ja joissakin tilanteissa paras tapa hinnoitella ratkaisu on käyttää eri mallien yhdistelmää. Hinnoittelumallin valinta määräytyy lopulta ratkaisun, toimittajan ja asiakkaan yksilöllisten ominaisuuksien mukaan. Tärkeintä on, että toimittaja osaa perustella ratkaisun arvosta johtuvan lisähinnan asiakkaalle.

Diversification benefits for a Finnish non-industrial private forest investor: Real Estate Investment Trusts in the USA

This thesis examined both domestic and international forest investment options for a Finnish non-industrial private forest investor. The focus was on forest-based investment instruments. The influence of movements of currency exchange rates on foreign returns were also taken into account. Annual data from 1995 to 2011 was used. The main portfolio optimization model in this study was the Mean-Variance model but the results were also validated by using the Value at Risk and Expected Shortfall models. In addition, the exchange rate risk hedging was established by using one-week-maturity forward contracts. The results suggested that 75 % of the total wealth should be invested in Finnish private forests and the rest, 25 %, to a US REIT, in this case Rayonier. With hedging, the total return on the portfolio was 7.21 % (NIPF 5.3%) with the volatility of 6.63 % (NIPF 7.9%). Taxation supported US investments in this case. As a conclusion, a Finnish private forest investor may, as evidenced, benefit in diversifying a portfolio using REITs in the US.

Customer Segmentation in Industrial Markets - CASE: Labelstock Company

The aim of this thesis is to study segmentation in industrial markets and develop a segmenting method proposal and criteria case study for a labelstock manufacturing company. An industrial company is facing many different customers with varying needs. Market segmentation is a process for dividing a market into smaller groups in which customers have the same or similar needs. Segmentation gives tools to the marketer to better match the product or service more closely to the needs of the target market. In this thesis a segmentation tool proposal and segmenting criteria is case studied for labelstock company’s Europe, Middle East and Africa business area customers and market. In the developed matrix tool different customers are planned to be evaluated based on customer characteristic variables. The criteria for the evaluating matrix are based on the customer’s buying organizations characteristics and buying behaviour. There are altogether 13 variables in the evaluating matrix. As an example of variables there are loyalty, size of the customer, estimated growth of the customer purchases and customer’s decision-making and buying behaviour. These characteristic variables will help to identify market segments to target and the customers belonging to those segments.

Profiling the Value of Industrial Maintenance Services

Industrial maintenance can be executed internally, acquired from the original equipment manufacturer or outsourced to a service provider, and this concludes in many different kind of business relationships. To maximize the total value in a maintenance business relationship it is important to know what the partner values. The value of maintenance services can be considered to consist of value elements and the perceived total value for the customer and the service provider is the sum of these value elements. The specific objectives of this thesis are to identify the most important value elements for the maintenance service customer and provider and also to recognize where the value elements differ. The study was executed as a statistical analysis using the survey method. The data has been collected by an online survey sent to 345 maintenance service professionals in Finland. In the survey, four different types of value elements were considered: the customer’s high critical and low critical items and the service provider’s core and support service. The most valued elements by the respondents were reliability, safety at work, environmental safety, and operator knowledge. The least valued elements were asset management factors and access to markets. Statistically significant differences in value elements between service types were also found. As a managerial implication a value gap profile is presented. This Master’s Thesis is part of the MaiSeMa (Industrial Maintenance Services in a Renewing Business Network: Identify, Model and Manage Value) research project where network decision models are created to identify, model and manage the value of maintenance services.

A simulation model of the optimal maintenance strategy: conceptual agent-based approach

In this Master’s thesis agent-based modeling has been used to analyze maintenance strategy related phenomena. The main research question that has been answered was: what does the agent-based model made for this study tell us about how different maintenance strategy decisions affect profitability of equipment owners and maintenance service providers? Thus, the main outcome of this study is an analysis of how profitability can be increased in industrial maintenance context. To answer that question, first, a literature review of maintenance strategy, agent-based modeling and maintenance modeling and optimization was conducted. This review provided the basis for making the agent-based model. Making the model followed a standard simulation modeling procedure. With the simulation results from the agent-based model the research question was answered. Specifically, the results of the modeling and this study are: (1) optimizing the point in which a machine is maintained increases profitability for the owner of the machine and also the maintainer with certain conditions; (2) time-based pricing of maintenance services leads to a zero-sum game between the parties; (3) value-based pricing of maintenance services leads to a win-win game between the parties, if the owners of the machines share a substantial amount of their value to the maintainers; and (4) error in machine condition measurement is a critical parameter to optimizing maintenance strategy, and there is real systemic value in having more accurate machine condition measurement systems.

Rakennuskonepalveluita tuottavan pk-yrityksen investointi- ja kustannusmalli

Tämän tutkimuksen päätavoitteena oli luoda yleisellä tasolla kustannusmalli maarakennuskonepalveluita tuottavien pk-yritysten käyttöön ja käytännön päätöstilanteiden avuksi osana päätöksenteko organisaation ja myyntityötä tekevän portaan kustannustarkkailuun. Mallin luomisen tarkoituksena oli että mallia voidaan helposti muokata erilaisten myyntitilanteiden kannattavuuksien tarkasteluun ja sitä kautta malli luo käyttäjilleen etulyöntiaseman luodessa pitkiä palvelusopimuksia ja erilaisten projektityömaiden myyntisopimuksia simuloimalla kaluston siirtokustannuksia olemassa olevien tiedettyjen kustannustekijöiden toimesta. Teollisuudessa ja palvelujentarjoajapuolella on vastaavia malleja esitetty, mutta erityisesti maarakennuspuolen ja konevuokrauksen kustannuslaskentamalleja ei julkisesta ole juurikaan saatavilla. Työn kustannusmallin muutoksia simuloitiin ja testattiin luomalla erilaisia kysyntäskenaarioita joista yksi esitellään tarkemmin työn testausosiossa. mallilla on helppo kasata kustannusdataa erilaisina yhtälöinä miten uudet työmaat ovat kannattavampia luomalla kokonaisvaltaisesti paljon lisää uusia työkohteita. Kustannusmallin rakentamiselle oli kysyntää ja tärkeänä tietona pidettiin kokonaisvaltaista muutosta ja tietoa millä tehollisilla tunneilla vastaavat hankinnat olisivat kannattavia. Työn teoriaosa pohjautuu pääasiassa hinnoittelun, kannattavuuden ja investointilaskelmien teoriaan, artikkeleihin ja tutkimuksiin sekä kirjoihin. Työn empiirinen osa perustuu arvioihin tämän hetken hintatasoista sekä arvioihin kustannusten kertymisestä maarakennuspalveluita tuottavissa pk-yrityksissä joissa organisaatiokaavio on matala ja toiminta tehokasta. Keskeisimmät tulokset liittyvät siihen miten kustannuksia tulee huomioida erilaisille asiakkaille ja millainen kustannusmalli on käyttökelpoinen eri tilanteissa.

Modelling flexible asset management in industrial maintenance companies and networks

The tightening competition and increasing dynamism have created an emerging need for flexible asset management. This means that the changes of market demand should be responded to with adjustments in the amount of assets tied to the balance sheets of companies. On the other hand, industrial maintenance has recently experienced drastic changes, which have led to an increase in the number of maintenance networks (consisting of customer companies that buy maintenance services, as well as various supplier companies) and inter-organizational partnerships. However, the research on maintenance networks has not followed the changes in the industry. Instead, there is a growing need for new ways of collaboration between partnering companies to enhance the competitiveness of the whole maintenance network. In addition, it is more and more common for companies to pursue lean operations in their businesses. This thesis shows how flexible asset management can increase the profitability of maintenance companies and networks under dynamic operating conditions, and how the additional value can then be shared between the network partners. Firstly, I have conducted a systematic literature review to identify what kind of requirements for asset management models are set by the increasing dynamism. Then I have responded to these requirements by constructing an analytical model for flexible asset management, linking asset management to the profitability and financial state of a company. The thesis uses the model to show how flexible asset management can increase profitability in maintenance companies and networks, and how the created value can be shared in the networks to reach a win-win situation. The research indicates that the existing models for asset management are heterogeneous by nature due to the various definitions of ‘asset management’. I conclude that there is a need for practical asset management models which address assets comprehensively with an inter-organizational, strategic view. The comprehensive perspective, taking all kinds of asset types into account, is needed to integrate the research on asset management with the strategic management of companies and networks. I will show that maintenance companies can improve their profitability by increasing the flexibility of their assets. In maintenance networks, reorganizing the ownership of the assets among the different network partners can create additional value. Finally, I will introduce flexible asset management contracts for maintenance networks. These contracts address the value sharing related to reorganizing the ownership of assets according to the principles of win-win situations.

Modeling of fireside deposit formation in two industrial furnaces

Fireside deposits can be found in many types of utility and industrial furnaces. The deposits in furnaces are problematic because they can reduce heat transfer, block gas paths and cause corrosion. To tackle these problems, it is vital to estimate the influence of deposits on heat transfer, to minimize deposit formation and to optimize deposit removal. It is beneficial to have a good understanding of the mechanisms of fireside deposit formation. Numerical modeling is a powerful tool for investigating the heat transfer in furnaces, and it can provide valuable information for understanding the mechanisms of deposit formation. In addition, a sub-model of deposit formation is generally an essential part of a comprehensive furnace model. This work investigates two specific processes of fireside deposit formation in two industrial furnaces. The first process is the slagging wall found in furnaces with molten deposits running on the wall. A slagging wall model is developed to take into account the two-layer structure of the deposits. With the slagging wall model, the thickness and the surface temperature of the molten deposit layer can be calculated. The slagging wall model is used to predict the surface temperature and the heat transfer to a specific section of a super-heater tube panel with the boundary condition obtained from a Kraft recovery furnace model. The slagging wall model is also incorporated into the computational fluid dynamics (CFD)-based Kraft recovery furnace model and applied on the lower furnace walls. The implementation of the slagging wall model includes a grid simplification scheme. The wall surface temperature calculated with the slagging wall model is used as the heat transfer boundary condition. Simulation of a Kraft recovery furnace is performed, and it is compared with two other cases and measurements. In the two other cases, a uniform wall surface temperature and a wall surface temperature calculated with a char bed burning model are used as the heat transfer boundary conditions. In this particular furnace, the wall surface temperatures from the three cases are similar and are in the correct range of the measurements. Nevertheless, the wall surface temperature profiles with the slagging wall model and the char bed burning model are different because the deposits are represented differently in the two models. In addition, the slagging wall model is proven to be computationally efficient. The second process is deposit formation due to thermophoresis of fine particles to the heat transfer surface. This process is considered in the simulation of a heat recovery boiler of the flash smelting process. In order to determine if the small dust particles stay on the wall, a criterion based on the analysis of forces acting on the particle is applied. Time-dependent simulation of deposit formation in the heat recovery boiler is carried out and the influence of deposits on heat transfer is investigated. The locations prone to deposit formation are also identified in the heat recovery boiler. Modeling of the two processes in the two industrial furnaces enhances the overall understanding of the processes. The sub-models developed in this work can be applied in other similar deposit formation processes with carefully-defined boundary conditions.

Industrial solution business – transition from product to solution offering

The business logic in the manufacturing industry has changed in the 21st century. In the current industrial market, manufacturers are driven to provide more comprehensive offerings that go beyond the traditional product-orientation by providing capacity and availability for their customers. From incidental merchandise, services have become the core of manufacturers’ offerings with long-lasting service agreements over the life-cycles of their products. This change is driven both by the need of providers to grow and gain competitive advantage and by increased customer demand caused by customers’ outsourcing trends. The three key drivers for manufacturers’ service strategies are outsourcing trends, saturation of the installed base, and commoditization in product markets. Thus, manufacturers focus on providing industrial solutions which are delivered through relational processes with customers by using solution-driven business models. In the management of marketing activities, this can be regarded as closer customer relationships, service-dominant business logic, and collaboration in solving customers’ problems. However, there are few studies on comprehensive conceptualizations of a solution offering that include different elements and their roles, especially in the context of capital goods industry. Also the transition process needs further studies in a real life context. This study explores the transition process of an industrial company from product to solution business and, as an aid to managing the solution business, explicates the structure and management of an industrial solution offering. There are two themes, the industrial transition process and industrial solution offering. Regarding the industrial transition process, the aim is to understand the supplier view on the process and its execution and to determine the challenges related to the transition process. The industrial solution offering is discussed by its elements and characteristics, as well as management. Furthermore, a special type of build-own-operate-transfer business model is presented and its suitability in the industrial context analyzed. The study includes findings achieved by qualitative methods and from four case companies. Based on the results, it is tentatively suggested that in the industrial solution business, the transition from product to solution business is not a linear project but an evolving process that varies according to customer needs, which suggests that companies need to possess an ability to develop new business models for different customer needs. The industrial solution offering is dynamic as it evolves in collaboration according to the prevailing and latent customer needs, which suggest restructuring of the organization from a product-centric to a customer-centric one. Furthermore, based on the findings, the concept of industrial solutions is defined as an ongoing relational process to satisfy a customer’s particular business or operational requirements, and the concept of industrial solution offering as an entity comprising the customized goods, services, collaboration, and finance needed to fulfill the industrial solution. Finally, the study offers several managerial implications for industrial managers involved in the transition and management of the solution business and its offering.

Fate of fuel-bound nitrogen and sulfur in biomass-fired Industrial boilers

Användning av biomassa som energikälla för produktion av el och värme är ett sätt att minska beroendet av fossila bränslen och höja självförsörjningen av energi. Fossila bränslen är den främsta källan till koldioxid utsläpp förorsakad av människan. Biomassa, å andra sidan, betraktas som en koldioxidneutral energikälla. Svavlet och kvävet i biomassan bildar dock föroreningar såsom kväveoxider (NOX) och svaveldioxid (SO2), som bidrar till försurning av mark och sjöar. Svavlet i bränslet kan även både förorsaka och förhindra korrosion i en förbränningsanläggning, beroende på förbränningen och bränslet. Huvudsyftet med detta arbete var att få en bättre förståelse om hur utsläppen av NOX och SO2 bildas från bränslebundet kväve och svavel vid förbränning av olika biobränslen. Mätkampanjer i fullskaliga förbränningsanläggningar utfördes, där gassammansättningen mättes i eldstaden och rökgasen. Förståelsen om gaskemin i eldstaden är viktig, för att möjliggöra utvecklandet av renare och effektivare förbränningsanläggningar. Ett annat syfte med arbetet var att klargöra om sulfatering av askkomponenter vid förbränning av biobränslen med olika askegenskaper. Alkaliklorider som bildas vid biomassaförbränning kan orsaka korrosion av värmeöverföringsytor. Svavlet i bränslet visade sig ha en viktig roll i att sulfatera alkaliklorider till mindre korrosiva alkalisulfater. Närvaron av gasformig svavelsyra i rökgaskanalen av förbränningsanläggningar studerades även. Kondensering av svavelsyra leder till korrosion av rökgaskanalen och dess delar. Om svavelsyrakoncentrationen i rökgasen är känd, kan daggpunktstemperaturen beräknas och kondensering av svavelsyra förhindras. I arbetet utvecklades en mätmetod för att mäta låga koncentrationer av gasformig svavelsyra i rökgaser. Denna metod användes för att undersöka risken av lågtemperaturkorrosion orsakad av svavelsyra i förbränningsanläggningar. ------------------------------------------------------------------------------------------------------------ Käyttämällä biomassaa energianlähteenä voidaan vähentää sähkön- ja lämmöntuotannon riippuvuutta fossiilisiin polttoaineisiin. Biomassan käytöllä voidaan myös lisätä energiantuotannon omavaraisuutta. Fossiiliset polttoaineet ovat pääasiallinen syy ihmisen aiheuttamiin hiilidioksidipäästöihin. Biomassa sen sijaan luetaan hiilidioksidineutraaleihin energianlähteisiin. Biopolttoaineiden käytössä tosin vapautuu typpi- ja rikkioksideja, jotka edesauttavat maaperän ja merien happamoitumista. Lisäksi biopolttoaineen rikki voi sekä vähentää että aiheuttaa laitteiden korroosiota energiantuotannossa riippuen biopolttoaineesta ja palamisesta. Tämän työn päätavoitteena oli selvittää mitä biopolttoaineeseen sitoutuneelle typelle ja rikille tapahtuu teollisissa polttolaitoksissa. Kyseisten oksidien muodostumista tutkittiin polttamalla eri biomassoja polttolaitoksissa. Tutkimukset toteutettiin mittauskampanjoilla useissa polttolaitoksissa. Kaasujen koostumusta mitattiin sekä tulipesässä, että savukaasuista. Kaasujen koostumus varsinkin tulipesässä on tärkeää, jotta tulevaisuudessa voidaan rakentaa puhtaampia ja tehokkaampia polttolaitoksia. Työn toisena tavoitteena oli selvittää biomassan polton yhteydessä tapahtuvaa tuhkan sulfatoitumista. Alkalikloridit, joita muodostuu biomassan poltossa, voivat aiheuttaa lämmönsiirtopintojen korroosiota. Rikki osoittautui tärkeäksi osaksi prosessia, jossa korroosiota aiheuttavat alkalikloridit sulfatoituivat vähemmän korrosoiviksi alkalisulfaateiksi. Myös kaasumaisen rikkihapon läsnäoloa savukaasuissa tutkittiin. On todettu, että kaasumuotoinen rikkihappo johtaa korroosioon savukaasukanavan kylmässä päässä ja sen eri osissa rikkihapon tiivistyessä lämpötilan laskiessa. Mikäli rikkihapon pitoisuus savukaasussa tiedetään, sen kastepiste voidaan laskea ja tiivistyminen estää. Tässä työssä kehitettiin mittausmenetelmä rikkihapon alhaisten pitoisuuksien mittaamiseen. Menetelmää hyödynnettiin polttolaitoksissa, joissa tutkittiin rikkihapon tiivistymisestä johtuvaa korroosiota.

Modeling of Liquid-Solid Flow in Industrial Scale

In the present work, liquid-solid flow in industrial scale is modeled using the commercial software of Computational Fluid Dynamics (CFD) ANSYS Fluent 14.5. In literature, there are few studies on liquid-solid flow in industrial scale, but any information about the particular case with modified geometry cannot be found. The aim of this thesis is to describe the strengths and weaknesses of the multiphase models, when a large-scale application is studied within liquid-solid flow, including the boundary-layer characteristics. The results indicate that the selection of the most appropriate multiphase model depends on the flow regime. Thus, careful estimations of the flow regime are recommended to be done before modeling. The computational tool is developed for this purpose during this thesis. The homogeneous multiphase model is valid only for homogeneous suspension, the discrete phase model (DPM) is recommended for homogeneous and heterogeneous suspension where pipe Froude number is greater than 1.0, while the mixture and Eulerian models are able to predict also flow regimes, where pipe Froude number is smaller than 1.0 and particles tend to settle. With increasing material density ratio and decreasing pipe Froude number, the Eulerian model gives the most accurate results, because it does not include simplifications in Navier-Stokes equations like the other models. In addition, the results indicate that the potential location of erosion in the pipe depends on material density ratio. Possible sedimentation of particles can cause erosion and increase pressure drop as well. In the pipe bend, especially secondary flows, perpendicular to the main flow, affect the location of erosion.