Hiiliteräspalkin kuitulaserhitsaus

Hitsaavassa teollisuudessa kilpailukyvyn säilyttäminen ja mahdollinen parantaminen edellyttää hitsauksen tehokkuuden nostoa. Laserhitsauksen nopeus, tarkkuus, tasainen laatu ja aikaansaatava syvä tunkeuma ovatkin vakiinnuttaneet menetelmän vankan aseman tehokkaana valmistusmenetelmänä. Sähkön ja heliumin hinnan nousu ovat pakottaneet teollisuuden miettimään entistä tehokkaampien ja ympäristöystävällisempien laserlähteiden hankkimista. Kuitulaserin korkea hyötysuhde, hyvä säteenlaatu, suuri teho ja matalat käyttökustannukset ovat herättäneet kiinnostusta laserhitsaavassa teollisuudessa. Diplomityössä keskityttiin kuitulaserhitsauksen soveltamiseen. Työn tavoitteena oli parantaa kuitulaserhitsausmenetelmän ymmärrystä ja saada käsitys siitä, miten valitaan hitsausparametrien arvot, ja soveltuuko kuitulaser teolliseen tuotantoon. Tutkimuksessa pyrittiin löytämään peruskokeilla optimaaliset hitsausparametrit, joilla syntyy hyvin tunkeutunut, vähän huokosia sisältävä, ja ulkoisesti laadukas hitsi, sekä optimaalinen hitsin tunkeumaprofiili. Lopuksi hitsausparametreja testattiin tuotteen hitsauksessa. Kuitulaser soveltuu erinomaisesti hiiliteräksen hitsaukseen ja hyvin erikoislujien terästen hitsaukseen, kun teräksen hiili- ja rikkipitoisuudet ovat matalia. Sillä on laaja parametrialue. Yleisimmät hitsausvirheet ovat vajaa hitsautumissyvyys ja huokoset. Tässä diplomityössä keskityttiin etsimään yhdelle valmistettavalle tuotteelle optimaaliset kuitulaserhitsausparametrit. Kuitulaserin laser- ja prosessiparametrien vaikutusta hitsiin ei ole juurikaan tutkittu. Diplomityön kokeiden perusteella olisi hyvä tehdä eri materiaalien jatkotutkimusta railonvalmistuksen, kuten liitoksen oksidikerroksen ja ilmaraon sekä suojakaasun, vaikutuksesta hitsiin. Kuitulaserin hyvä säteenlaatu ja muut laser-parametrit ovat tuoneet mukanaan prosessiin uusia ilmiöitä, joita on syytä tutkia lisää.

The tightness performance of pre-formed trays as package

Suojakaasupakkaaminen (MAP) on yleistynyt viime aikoina, koska sen avulla voidaan säilöä tuoreita tai vähän käsiteltyjä elintarvikkeita pidempään. Suurin syy hyllyiän pidentymiseen on hiilidioksidin aiheuttama mikrobien kasvun hidastuminen. Toisaalta huolena on patogeenisten mikrobien lisääntyminen anaerobisissa olosuhteissa. Pidempi säilyvyys voidaan saavuttaa myös käyttämällä vähemmän lisä- ja säilöntäaineita. Samalla suojakaasupakkaaminen kuitenkin vähentää myös pilaantuneiden tuotteiden määrää. Eniten suojakaasua käytetään lihan pakkaamisessa. Suojakaasupakkaamisessa elintarvikepakkaukseen syötetään normaalista huoneilmasta poikkeava kaasuseos. Pääasiassa kaasuseos koostuu hiilidioksidista, hapesta ja typestä. Lisäksi voidaan käyttää pieniä määriä hiilimonoksidia, argonia ja rikkidioksidia. Kaasuseoksen koostumus määräytyy elintarvikkeiden ominaisuuksien ja vaatimusten perusteella. Halutun kaasukoostumuksen tulee säilyä pakkauksessa muutamasta päivästä muutamaan kuukauteen riippuen elintarvikkeesta. Siksi tärkein pakkaukselta vaadittava ominaisuus on riittävä kaasutiiveys ja erityisesti hapenläpäisevyys. Koska suurin osa suojakaasupakkauksista on tällä hetkellä muovisia, tutkittiin kokeellisessa osiossa kartonkipakkausten tiiveysominaisuuksia. Kokeet tehtiin vertailemalla erilaisten vuoka- ja kansimateriaalien vaikutusta pakkausten tiiveyteen. Vuokien onnistuminen oli suurin yksittäinen tuloksiin vaikuttanut tekijä. Epäonnistuneen vuoan vaikutukset näkyivät myös saumauksessa, koska saumaustyökalun ja vuoan piti sopia yhteen. Lisäksi näkymättömät mikroreiät hankaloittivat todellisten vuotokohtien paikallistamista. Vuototestausten perusteella materiaaleille löydettiin kuitenkin viitteelliset optimiparametrit. Tärkein saumauksessa vaikuttanut tekijä oli sopivan saumauslämpötilan valinta. Prässättyjen vuokien laatu oli epätasainen. Siksi erityisesti rinnakkaisten kansitus- ja hapenläpäisymittausten väliset erot olivat merkitseviä. Lisäksi prässäys laski materiaalien hapenläpäisyominaisuuksia. Yksittäisten vuokien tiiveysominaisuudet täyttivät kuitenkin kaupallisille kaasupakkauksille asetetut vaatimukset. Vesihöyrynläpäisevyydessä materiaalin vesihöyrynläpäisy oli merkittävämpää kuin vesihöyryn kulkeutuminen vuotokohtien tai epäonnistuneiden saumojen kautta.

Mathematical modeling of level of anaesthesia from EEG measurements

Problem of modeling of anaesthesia depth level is studied in this Master Thesis. It applies analysis of EEG signals with nonlinear dynamics theory and further classification of obtained values. The main stages of this study are the following: data preprocessing; calculation of optimal embedding parameters for phase space reconstruction; obtaining reconstructed phase portraits of each EEG signal; formation of the feature set to characterise obtained phase portraits; classification of four different anaesthesia levels basing on previously estimated features. Classification was performed with: Linear and quadratic Discriminant Analysis, k Nearest Neighbours method and online clustering. In addition, this work provides overview of existing approaches to anaesthesia depth monitoring, description of basic concepts of nonlinear dynamics theory used in this Master Thesis and comparative analysis of several different classification methods.

Lujien painelaiteterästen hitsaus

Työn tavoitteena oli tutkia lujan nuorrutetun painelaiteteräksen P500QL2 hitsattavuutta ja koehitsausten avulla löytää optimaaliset hitsausparametrit ja lämmöntuonti teräksen hitsaukseen. Työn tavoitteena oli myös selvittää ja käsitellä kaikkien painelaiteterässtandardissa esitettyjen lujien painelaiteterästen hitsauksessa huomioon otettavia asioita. Työn teoriaosuudessa käsitellään lujien painelaiteterästen hitsauksessa huomioitavia erityispiirteitä, kuten lämmöntuontia, jäähtymisaikaa, esilämmitystä sekä hitsausaineiden valintaa. Lisäksi teoriaosuudessa käsitellään painelaitteiden valmistusta, painelaiteterässtandardiin kuuluvia lujia painelaiteteräksiä sekä keinoja lujien terästen hitsattavuuden arviointiin. Työn kokeellisessa osassa tutkittiin aineenvahvuudeltaan 50 mm paksun P500QL2-teräksen päittäisliitoksen mekaanisia ominaisuuksia eri lämmöntuonneilla hitsattuna. Kokeellisessa osassa tutkittiin myös myöstön poisjättämisen vaikutuksia liitoksen mekaanisiin ominaisuuksiin. Mekaanisia ominaisuuksia tutkittiin toteuttamalla koekappaleiden aineenkoetus menetelmäkoestandardin vaatimuksia soveltaen. Tutkimuksessa käytettyjä testausmenetelmiä olivat silmämääräinen tarkastus, magneettijauhetarkastus, ultraäänitarkastus, mikro- ja makrorakennetarkastelu, kovuuskokeet, vetokokeeet ja iskukokeet. Testauksessa saatujen tulosten avulla lujan painelaiteteräksen P500QL2 hitsaukseen laadittiin alustava hitsausohje. Hitsausliitosten testauksessa saatujen tulosten perusteella havaittiin hitsien lujuuden ja kovuuden laskevan lämmöntuonnin kasvaessa. Hitsausliitosten iskusitkeysominaisuudet olivat erinomaiset vielä suurellakin lämmöntuonnilla, mutta liitosten murtovenymäarvot laskivat lämmöntuonnin kasvaessa. Myöstön havaittiin parantavan hitsin mekaanisia ominaisuuksia huomattavasti. Tutkimuksen tulosten perusteella painelaiteteräs P500QL2 on hitsattavissa suurella lämmöntuonnilla ja suurella tuottavuudella liitoksen täyttäessä painelaitevalmistuksen edellyttämät vaatimukset.

Parameter identification in time series models

Time series analysis can be categorized into three different approaches: classical, Box-Jenkins, and State space. Classical approach makes a basement for the analysis and Box-Jenkins approach is an improvement of the classical approach and deals with stationary time series. State space approach allows time variant factors and covers up a broader area of time series analysis. This thesis focuses on parameter identifiablity of different parameter estimation methods such as LSQ, Yule-Walker, MLE which are used in the above time series analysis approaches. Also the Kalman filter method and smoothing techniques are integrated with the state space approach and MLE method to estimate parameters allowing them to change over time. Parameter estimation is carried out by repeating estimation and integrating with MCMC and inspect how well different estimation methods can identify the optimal model parameters. Identification is performed in probabilistic and general senses and compare the results in order to study and represent identifiability more informative way.

Production of magnesium carbonates from serpentinites for CO2 mineral sequestration : optimisation towards industrial application

Global warming is one of the most alarming problems of this century. Initial scepticism concerning its validity is currently dwarfed by the intensification of extreme weather events whilst the gradual arising level of anthropogenic CO2 is pointed out as its main driver. Most of the greenhouse gas (GHG) emissions come from large point sources (heat and power production and industrial processes) and the continued use of fossil fuels requires quick and effective measures to meet the world’s energy demand whilst (at least) stabilizing CO2 atmospheric levels. The framework known as Carbon Capture and Storage (CCS) – or Carbon Capture Utilization and Storage (CCUS) – comprises a portfolio of technologies applicable to large‐scale GHG sources for preventing CO2 from entering the atmosphere. Amongst them, CO2 capture and mineralisation (CCM) presents the highest potential for CO2 sequestration as the predicted carbon storage capacity (as mineral carbonates) far exceeds the estimated levels of the worldwide identified fossil fuel reserves. The work presented in this thesis aims at taking a step forward to the deployment of an energy/cost effective process for simultaneous capture and storage of CO2 in the form of thermodynamically stable and environmentally friendly solid carbonates. R&D work on the process considered here began in 2007 at Åbo Akademi University in Finland. It involves the processing of magnesium silicate minerals with recyclable ammonium salts for extraction of magnesium at ambient pressure and 400‐440⁰C, followed by aqueous precipitation of magnesium in the form of hydroxide, Mg(OH)2, and finally Mg(OH)2 carbonation in a pressurised fluidized bed reactor at ~510⁰C and ~20 bar PCO2 to produce high purity MgCO3. Rock material taken from the Hitura nickel mine, Finland, and serpentinite collected from Bragança, Portugal, were tested for magnesium extraction with both ammonium sulphate and bisulphate (AS and ABS) for determination of optimal operation parameters, primarily: reaction time, reactor type and presence of moisture. Typical efficiencies range from 50 to 80% of magnesium extraction at 350‐450⁰C. In general ABS performs better than AS showing comparable efficiencies at lower temperature and reaction times. The best experimental results so far obtained include 80% magnesium extraction with ABS at 450⁰C in a laboratory scale rotary kiln and 70% Mg(OH)2 carbonation in the PFB at 500⁰C, 20 bar CO2 pressure for 15 minutes. The extraction reaction with ammonium salts is not at all selective towards magnesium. Other elements like iron, nickel, chromium, copper, etc., are also co‐extracted. Their separation, recovery and valorisation are addressed as well and found to be of great importance. The assessment of the exergetic performance of the process was carried out using Aspen Plus® software and pinch analysis technology. The choice of fluxing agent and its recovery method have a decisive sway in the performance of the process: AS is recovered by crystallisation and in general the whole process requires more exergy (2.48–5.09 GJ/tCO2sequestered) than ABS (2.48–4.47 GJ/tCO2sequestered) when ABS is recovered by thermal decomposition. However, the corrosive nature of molten ABS and operational problems inherent to thermal regeneration of ABS prohibit this route. Regeneration of ABS through addition of H2SO4 to AS (followed by crystallisation) results in an overall negative exergy balance (mainly at the expense of low grade heat) but will flood the system with sulphates. Although the ÅA route is still energy intensive, its performance is comparable to conventional CO2 capture methods using alkanolamine solvents. An energy‐neutral process is dependent on the availability and quality of nearby waste heat and economic viability might be achieved with: magnesium extraction and carbonation levels ≥ 90%, the processing of CO2‐containing flue gases (eliminating the expensive capture step) and production of marketable products.

Prerequisites for commercialization of tube granulator for fly ash

A large amount of fly ash is produced in power plants and a big fraction of it ends up as waste to landfills. Disposal of fly ash to landfills is expensive for power plants due to for example waste taxation. However fly ash can utilized in different applications. Possibility of utilizing fly ash can be increased by granulation which also removes the dustiness problems of ash. This Thesis deals with the prerequisites for commercialization of a new granulation technique, tube granulation. Tube granulation technique utilizes water, calcium oxide in fly ash plus carbon dioxide and heat from flue gas. This Thesis determines the necessary auxiliary equipment for tube granulation, approaches for process dimensioning and implementation of the granulation process into a continuous power plant process. In addition, the economic benefits of tube granulation are examined from the user’s perspective. A continuous tube granulation process requires the following auxiliary systems to function: ash system, water feed system and flue gas system. Implementation of tube granulation system into a power plant process depends on the specific power plant but a general principle is that fly ash should be obtained to the granulator as fresh as possible and flue gas should be taken from the pressure side of a flue gas fan. Dimensioning of the process can be examined for example in terms of degree of filling and residence time in the granulator or in terms of granule drying. Determining the optimal dimensioning parameters requires pilot tests with the granulator.

Choosing the optimal energy system for buildings and districts

The purpose of this master’s thesis was to develop a method to be used in the selection of an optimal energy system for buildings and districts. The term optimal energy system was defined as the energy system which best fulfils the requirements of the stakeholder on whose preferences the energy systems are evaluated. The most influential stakeholder in the process of selecting an energy system was considered to be the district developer. The selection method consisted of several steps: Definition of the district, calculating the energy consumption of the district and buildings within the district, defining suitable energy system alternatives for the district, definition of the comparing criteria, calculating the parameters of the comparing criteria for each energy system alternative and finally using a multi-criteria decision method to rank the alternatives. For the purposes of the selection method, the factors affecting the energy consumption of buildings and districts and technologies enabling the use of renewable energy were reviewed. The key element of the selection method was a multi-criteria decision making method, PROMETHEE II. In order to compare the energy system alternatives with the developed method, the comparing criteria were defined in the study. The criteria included costs, environmental impacts and technological and technical characteristics of the energy systems. Each criterion was given an importance, based on a questionnaire which was sent for the steering groups of two district development projects. The selection method was applied in two case study analyses. The results indicate that the selection method provides a viable and easy way to provide the decision makers alternatives and recommendations regarding the selection of an energy system. Since the comparison is carried out by changing the alternatives into numeric form, the presented selection method was found to exclude any unjustified preferences over certain energy systems alternatives which would affect the selection.

Mathematical modeling and optimal control of malaria

Malaria continues to infect millions and kill hundreds of thousands of people worldwide each year, despite over a century of research and attempts to control and eliminate this infectious disease. Challenges such as the development and spread of drug resistant malaria parasites, insecticide resistance to mosquitoes, climate change, the presence of individuals with subpatent malaria infections which normally are asymptomatic and behavioral plasticity in the mosquito hinder the prospects of malaria control and elimination. In this thesis, mathematical models of malaria transmission and control that address the role of drug resistance, immunity, iron supplementation and anemia, immigration and visitation, and the presence of asymptomatic carriers in malaria transmission are developed. A within-host mathematical model of severe Plasmodium falciparum malaria is also developed. First, a deterministic mathematical model for transmission of antimalarial drug resistance parasites with superinfection is developed and analyzed. The possibility of increase in the risk of superinfection due to iron supplementation and fortification in malaria endemic areas is discussed. The model results calls upon stakeholders to weigh the pros and cons of iron supplementation to individuals living in malaria endemic regions. Second, a deterministic model of transmission of drug resistant malaria parasites, including the inflow of infective immigrants, is presented and analyzed. The optimal control theory is applied to this model to study the impact of various malaria and vector control strategies, such as screening of immigrants, treatment of drug-sensitive infections, treatment of drug-resistant infections, and the use of insecticide-treated bed nets and indoor spraying of mosquitoes. The results of the model emphasize the importance of using a combination of all four controls tools for effective malaria intervention. Next, a two-age-class mathematical model for malaria transmission with asymptomatic carriers is developed and analyzed. In development of this model, four possible control measures are analyzed: the use of long-lasting treated mosquito nets, indoor residual spraying, screening and treatment of symptomatic, and screening and treatment of asymptomatic individuals. The numerical results show that a disease-free equilibrium can be attained if all four control measures are used. A common pitfall for most epidemiological models is the absence of real data; model-based conclusions have to be drawn based on uncertain parameter values. In this thesis, an approach to study the robustness of optimal control solutions under such parameter uncertainty is presented. Numerical analysis of the optimal control problem in the presence of parameter uncertainty demonstrate the robustness of the optimal control approach that: when a comprehensive control strategy is used the main conclusions of the optimal control remain unchanged, even if inevitable variability remains in the control profiles. The results provide a promising framework for the design of cost-effective strategies for disease control with multiple interventions, even under considerable uncertainty of model parameters. Finally, a separate work modeling the within-host Plasmodium falciparum infection in humans is presented. The developed model allows re-infection of already-infected red blood cells. The model hypothesizes that in severe malaria due to parasite quest for survival and rapid multiplication, the Plasmodium falciparum can be absorbed in the already-infected red blood cells which accelerates the rupture rate and consequently cause anemia. Analysis of the model and parameter identifiability using Markov chain Monte Carlo methods is presented.

Modular continuous crystallizer: operation, experimental arrangement and identification of process parameters

Crystallization is employed in different industrial processes. The method and operation can differ depending on the nature of the substances involved. The aim of this study is to examine the effect of various operating conditions on the crystal properties in a chemical engineering design window with a focus on ultrasound assisted cooling crystallization. Batch to batch variations, minimal manufacturing steps and faster production times are factors which continuous crystallization seeks to resolve. Continuous processes scale-up is considered straightforward compared to batch processes owing to increase of processing time in the specific reactor. In cooling crystallization process, ultrasound can be used to control the crystal properties. Different model compounds were used to define the suitable process parameters for the modular crystallizer using equal operating conditions in each module. A final temperature of 20oC was employed in all experiments while the operating conditions differed. The studied process parameters and configuration of the crystallizer were manipulated to achieve a continuous operation without crystal clogging along the crystallization path. The results from the continuous experiment were compared with the batch crystallization results and analysed using the Malvern Morphologi G3 instrument to determine the crystal morphology and CSD. The modular crystallizer was operated successfully with three different residence times. At optimal process conditions, a longer residence time gives smaller crystals and narrower CSD. Based on the findings, at a constant initial solution concentration, the residence time had clear influence on crystal properties. The equal supersaturation criterion in each module offered better results compared to other cooling profiles. The combination of continuous crystallization and ultrasound has large potential to overcome clogging, obtain reproducible and narrow CSD, specific crystal morphologies and uniform particle sizes, and exclusion of milling stages in comparison to batch processes.

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