Orientador: Heloise de Oliveira Pastore / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Química / Made available in DSpace on 2018-08-26T03:36:19Z (GMT). No. of bitstreams: 1 Moura_KarineOliveira_D.pdf: 7870115 bytes, checksum: 53d12a1aabfac0bb3aca1b0d6eb2967a (MD5) Previous issue date: 2014 / Resumo: Filossilicatos de magnésio funcionalizados com três diferentes fontes de amina (N-[3-(trimetoxissilil)propil]-dietilenotriamina (TMSPETA), N-[3-(trimetoxissilil)propil]etilenodiamina (TMSPEDA) e 3-aminopropiltrietoxissilano (AMPTS)), e com razão N/Si de 0,25, 0,5, 0,75 e 1, foram utilizados como material adsorvente para o processo de captura de CO2. Os materiais adsorventes foram obtidos com sucesso através de síntese direta, utilizando estufa (CE) e micro-ondas (MW) como fontes de aquecimento durante o tratamento hidrotérmico. Os materiais obtidos foram caracterizados utilizando difração de raios X (DRX), espectroscopia de absorção no infravermelho com transformada de Fourier (FTIR), ressonância magnética nuclear de 13C e 29Si (RMN), termogravimetria (TGA) e análise elementar de carbono, hidrogênio e nitrogênio (CHN). Os resultados mostraram que o procedimento de síntese apresentou uma redução no tempo de tratamento hidrotérmico de 91 % a 96 % quando MW, ao invés de CE, foi utilizado como fonte de aquecimento. Estudos de adsorção foram realizados utilizando TGA, dessorção termoprogramada (TPD), calorimetria exploratória diferencial (DSC) e FTIR in situ. Os resultados mostraram que as temperaturas ótimas de adsorção de CO2 foram 41, 45 e 90 °C, para filossilicatos de magnésio funcionalizados com TMSPETA, TMSPEDA e AMPTS, respectivamente. Utilizando a técnica TPD, a máxima capacidade de adsorção foi encontrada na faixa de 0,67 a 3,64 mmol g-1, para 8,33 % TMSPETA, por MW, e 33,33 % TMSPETA, por CE, respectivamente, com a máxima eficiência entre 0,285 e 0,899 para 100 % AMPTS e 33,33 % TMSPETA, obtidas por CE. A entalpia de adsorção foi encontrada utilizando DSC e está na faixa de 40-66 kJ mol-1, indicando que o processo de captura de CO2 ocorre por adsorção química. Além disso, o calor de regeneração está na faixa de 104,87 a 380,67 kJ mol-1 e são inferiores aos obtidos com o uso da MEA (atual tecnologia), indicando que os materiais discutidos no presente trabalho são energeticamente favoráveis para serem aplicados industrialmente / Abstract: Magnesium phyllosilicates functionalized with three sources of amine (N-[3-(trimethoxysilyl)propyl]-diethylenetriamine (TMSPETA), N-[3-(trimethoxysilyl)propyl]-ethylenediamine (TMSPEDA) and 3-aminopropyltriethoxysilane (AMPTS)), with N/Si ratios of 0.25, 0.5, 0.75 and 1, were used as adsorbent material to CO2 adsorption process. The materials were obtained sucessfully by direct synthesis using conventional (CE) and microwave (MW) as the heating sources during the hydrothermal treatment. The materials obtained were characterized using X-ray diffraction (XRD), Fourier transformed infrared spectroscopy (FTIR), solid state 13C and 29Si nuclear magnetic resonance (NMR), thermogravimetry (TG) and elemental analysis of carbon, nitrogen and hydrogen (CHN). The results showed that the synthesis procedure presented a reduction of hydrothermal treatment time in the range from 91 % to 96 % when MW, instead of CE, was used as the heating source. Adsorption studies were performed using TGA, temperature programmed desorption (TPD), differential scanning calorimetry (DSC) and FTIR in situ methods. The results showed that the best temperatures for CO2 adsorption were 41, 45 and 90 °C, when magnesium phyllosilicate was functionalized with TMSPETA, TMSPEDA and AMPTS, respectively. Using TPD technique, the maximum adsorption capacity was between 0.67 and 3.64 mmol g-1, for 8.33 % TMSPETA by MW and 33.33 % TMSPETA by CE, respectively, with maximum efficiency between 0.285 and 0.899 for 100 % AMPTS and 33.33 % TMSPETA, obtained by conventional heating. The adsorption enthalpy was found using DSC and it is in the range of 40-66 kJ mol-1, indicating that the CO2 uptake process occurs by chemical adsorption. Furthemore, regeneration heat is in the range of 104.87-380.67 kJ mol-1 and is lower than those obtained when MEA (current technology) is used, indicating that the materials discussed in the present work are energetically favorable to be industrially aplied / Doutorado / Quimica Inorganica / Doutora em Ciências

Virkestorkning är ett mycket energikrävande men nödvändigt förädlingssteg för träindustrin. Eftersom energi- och tidsåtgången framförallt är beroende av mängden fukt som ska drivas ur virket så är kännedom om virkets initiala och slutliga fuktinnehåll avgörande för en optimerad process. Industriellt, idag, görs ofta en grov uppskattning av virkets initiala fuktmängd. Denna fuktmängd ligger sedan till grund för torkningens genomförande och dess resultat. I föreliggande arbete undersöks huruvida invägning av virkespaketen före torkning kan användas för att bestämma virkets fuktinnehåll och hur detta kan bidra till att optimera torkprocessen. 17 fullständiga torkningsförsök genomfördes på ett konventionellt sågverk i norra Sverige. I försöken vägdes virkespaketen och torkningsscheman anpassades därefter.Genom mätningar av virkets fuktkvot och jämförelse med tidigare torkning där konventionella torkningsscheman använts så kunde det konstateras att paketvägningen bidrar till en förbättrad och optimerad torkningsprocess. / Drying is a very energy-intensive but important process in the wood industry. Since the amount of energy used is, more or less, proportional to the amount of water released, the measurement of the initial and final wood moisture content is crucial to optimize the process. Today, a rough estimate of the initial wood moisture content is used as dryer operation input data. The process could be improved by a more accurate determination of the initial moisture level. The present work examines if weighing the wood can be used as a method to determine the wood moisture level and how this can optimize the drying process. 17 drying trials were conducted at a sawmill in northern Sweden. The wood was weighed and new drying schedules were constructed and adjusted accordingly. The result show that weighing the wood results in more accurate drying schedules and overall an optimized drying process.

This thesis deals with rotary drying and sintering kilns. The first part focused upon construction of the kilns, kiln processes and the options of technological arrangement of the kilns. The thesis second part presents two experiments. The first one is targeted to find the relation between residence time, kiln rotary speed and kiln slope in longitudinal direction. The examinations analysed individually the relation between kiln rotary speed and residence time and the relation between kiln slope and residence time. Finally, the regression equation describing the relation between holding time, kiln rotary speed and kiln rake was established. The results given by regression equation much closer to the real one then the results given by literature. The difference between real residence time and the regression one is about one minute. The second one is concerned with producing a set of equations with respect of mass and heat balance in case of drying process. The input material was wet crushed tetra packs. There were established technological conditions of the material, necessary burner energy input, heat losses and distribution of heat between material and flue gas. There were taken away almost 80 percent of heat energy by flue gases. The remaining 20 percent was divided between latent heat, material and heat losses through the shell of the rotary kiln.

This diploma thesis is focused on methods of using cement kiln by-pass dust in building materials technology. By-pass dust was treated to remove chlorides and could then be used as other constituent to various types of cements in the amount of 0–5 wt. % according to ČSN EN 197-1. The properties of dusts before and after chloride removal were examined and after incorporating modified by-pass dust into the cement, the properties of fresh and hardened cement pastes and mortars were studied. It was found that modified by-pass dust after incorporation into cement fulfill requirements of ČSN EN 197-1.

This masters thesis deals with influence of cement bypass kiln dust on physico-mechanical properties of alkali activated slag and influence of chosen compounds of cement bypass kiln dust on alkali activated slag. Using alkali activated slag is limited by its shrinkage. The setting time with different amount of cement bypass kiln dust and its chosen compounds (CaO, KCl and K2SO4) were measured by isotermal and isoperibolic calorimetry too. The strength and length changes of the mixtures with different amount of cement bypass kiln dust were measured. Samples were analysed by X-Ray diffraction analysis and scanning electron microscopy. It has been found that the increasing addition of dust reduce setting time, flexural and compresive strength and shrinkage. Presence of free CaO was found being one of the reasons for accelerated setting. KCl and K2SO4 have retarding effect but influece of free CaO prevails even for its lower contents. Long-term properties evolution is strongly dependent on curing regime due to potential volume expansion.

The thesis deals with the design of the multivariable automatic control system of aftercooling process in the brick industry tunnel kiln. Theoretical part submits the facilities of controlled systems identification and the design methods of uni and multi variable systems. In the practical section is cleared up the principal of the aftercooling process and its identification based on the measured data. The output of the thesis is the design and the analysis of multivariable system with the conservation of the control circuit autonomy.

An emission inventory tool for estimating SO2, NO2, and PM10 emissions from brick clamp kiln sites was developed from investigations performed on three representative South African clamp kiln sites in order to facilitate application for Atmospheric Emission Licenses (AELs) from these sources. The tool utilizes readily available site-specific parameters to generate emission factors for significant activities that emit the aforementioned pollutants. PM10 emission factors for significant processes were developed using empirical expressions from the Compilation of Air Pollutant Emission Factors (AP-42) documents. SO2 emission factor for clamp kiln firing was obtained from “reverse-modelling”, a technique that integrates ambient monitoring and dispersion modelling (using Atmospheric Dispersion Modelling System software) to “standardize” actual emission rate from an assumed rate of 1 g/s. The use of multiple point sources proved to improve the simulation of the buoyancy-induced plume rise; therefore, a “bi-point” source configuration was adopted for the kiln. The “reverse-modelling” technique and “bi-point” source configuration produced SO2 emission rates differing from -9 % to +22 % from mass balance results, indicating that the “reverse-modelling” calculations provide reliable emission estimates for SO2. An NO2 emission factor could not be obtained from the “reverse-modelling” technique due to experimental errors and the significant effect of NO2 emissions from other onsite air emission sources such as internal combustion engines. The NO2 emission factor was obtained from previous comprehensive study on a similar clamp kiln site. The emission factors obtained from this study were utilized in developing an “emission inventory tool” which is utilized by clay brick manufacturers in quantifying air emissions from their sites. Emissions quantification is a requirement for brick manufacturers to obtain an AEL which is regulated under South African environmental laws. It is suggested that the technique used here for SO2 emission confirmation could be used to estimate emissions from a volume or area source where combustion occurs and where knowledge of the source parameters is limited. / Dissertation (MSc)--University of Pretoria, 2013. / gm2014 / Chemical Engineering / unrestricted

BillerudKorsnäs AB (BK) i Gävle är ett av de världsledande företagen inom tillverkning av vätskekartong. För att fortsatt vara ett ledande företag arbetar de dagligen med förbättringsförslag för att utveckla och öka fabrikens säkerhet och tillgänglighet. Detta examensarbete innehåller ett av många förbättringsförslag på avdelningen, Lut och Kraft. BillerudKorsnäs AB har en tydlig önskan om att åtgärda ett känt problem som kan leda till förödande ekonomiska konsekvenser.  Examensarbetet har bestått av att införa en automatisk nedkylningssekvens av mesaugnen, med fokusområde på säkerhet och programmering. Säkerhet är ett brett område och arbetsuppgifterna har avgränsats till automationsnära uppgifter för att hålla sig inom tidsramen på tio veckor. För att hålla samma kontinuitet och standard hos BK har programmeringen utgått från att använda nuvarande programmeringsspråk funktionsblocks diagram i styrsystemet AC450 från ABB.  Metoden som har använts i arbetet är aktionsforskning som innehöll planering, riskanalys och dokumentation för att minimera och eliminera tänkbara risker, relaterade till personsäkerhet och maskinutrustning.  Målsättningen med examensarbetet var att ha en fungerade, säker och pålitlig nedkylningssekvens. För att optimera processen, avlasta processoperatören och förbättra arbetsmiljön i kontrollrummet genom att automatisera ett arbetsmoment. Simuleringen har påvisat att nedkylningssekvensens funktion uppfyller BK önskan. På grund av fabriksstopp under examensarbetets tidsram har idrifttagning blivit försenat och provkörningen har flyttats fram. / BillerudKorsnäs AB (BK) in Gävle is one of the world-leading companies in the manufacture of liquid board. To continue to be a leading company, they work daily with improvement proposals to develop and increase the factory's safety and availability. This thesis contains one of many improvement proposals in the department, Lut och Kraft. BillerudKorsnäs AB has a clear desire to remedy a known problem that can lead to devastating financial consequences.  The degree project has consisted of introducing an automatic cooling sequence of the lime kiln, with a focus area on safety and programming. Security is a broad area and the tasks have been limited to automation-related tasks to stay within the time frame of ten weeks. To maintain the same continuity and standard at BK, the programming has been based on using the current programming script function block diagram in the control system AC450 from ABB.  The method that has been used in the work is action research that included planning, risk analysis and documentation to minimize and eliminate possible risks, related to personal safety and machine equipment.  The goal of the degree project was to have a functional, safe, and reliable cooling sequence. To optimize the process, relieve the process operator and improve the working environment in the control room by automating a work step. The simulation has shown that the function of the cooling sequence fulfills the BK desire. Due to a factory shutdown during the degree project's time frame, commissioning has been delayed and the test drive has been moved forward.

No description available.

As more data is being gathered in industrial production facilities, the interest in applying machine learning models to the data is growing. This includes the iron ore mining industry, and in particular the build-up of slag in grate-kiln furnaces. Slag is a byproduct in the pelletizing process within these furnaces, that can cause production stops, quality issues, and unplanned maintenance. Previous studies on slag build-up have been done mainly by chemists and process engineers. Whilst previous research has hypothesized contributing factors to slag build-up, the studies have mostly been conducted in simulation environments and thus have not used real sensor data utilizing machine learning models. Luossavaara-Kiirunavaara Aktiebolag (LKAB) has provided data from one of their grate-kiln furnaces, a time-series data of sensor readings, that compressed before storage.  A Scala package was built to ingest and interpolate the LKAB data and make it ready for machine learning experiments. The estimation of slag within the kiln was found too arbitrary to make accurate predictions. Therefore, three quality metrics, tightly connected to the build-up of slag, were selected as target variables instead. Independent and identically distributed (IID) units of data were created by isolating fuel usage, product type produced and production rate. Further, another IID criterion was created, adjusting the time for each feature in order to be able to compare feature values for a single pellet in production. Specifically, the time it takes for a pellet to go from the feature sensor to the quality test was added to the original timestamp. This resulted in a table where each row represents multiple features and quality measures for the same small batch of pellets. An IID unit of interest was then used to find the most contributing features by using principal component analysis (PCA) and lasso regression. It was found that using the two mentioned methods, the number of features could be reduced to a smaller set of important features. Further, using decision tree regression with the subset of features, selected from the most important features, it was found that decision tree regression had a similar performance with the subset of features as the lasso regression. Decision tree and lasso regression were chosen for interpretability, which was important in order to be able to discuss the contributing factors with LKAB process engineers. / Idag genereras allt mer data från industriella produktionsanläggningar och intresset att applicera maskininlärningsmodeller på denna data växer. Detta inkluderar även industrin för utvining av järnmalm, i synnerhet uppbyggnaden av slagg i grate-kiln ugnar. Slagg är en biprodukt från pelletsproduktionen som kan orsaka produktionsstopp, kvalitetsbrister och oplanerat underhåll av ugnarna. Tidigare forskning kring slagguppbyggnad har i huvudsak gjorts av kemister och processingenjörer och ett antal bidragande faktorer till slagguppbyggnad ha antagits. Däremot har dessa studier främst utförts i simulerad experimentmiljö och därför inte applicerat maskininlärningsmodeler på sensordata från produktion. Luossavaara-Kiirunavaara Aktiebolag (LKAB) har till denna studie framställt och försett data från en av deras grate-kiln ugnar, specifikt tidsseriedata från sensorer som har komprimerats innan lagring. Ett Scala-paket byggdes för att ladda in och interpolera LKAB:s data, för att sedan göra den redo och applicerbar för experiment med maskininlärningsmodeller. Direkta mätningar för slagguppbyggnad och slaggnivå upptäcktes vara för slumpartade och bristfälliga för prediktion, därför användas istället tre kvalitetsmätningar, med tydligt samband till påföljderna från slagguppbyggnad, som målvariabler. Independent and identically distributed (IID) enheter skapades för all data genom att isolera bränsleanvändning, produkttyp och produktionstakt. Vidare, skapades ytterligare ett kriterie för IID:er, en tidsjustering av varje variabel för att göra det möjligt att kunna jämföra variabler inbördes för en enskild pellet i produktion. Specifikt, användes tiden det tar för en pellet från att den mäts av en enskild sensor till att kvalitetstestet tas. Tidsskillnaden adderas sedan till sensormätningens tidsstämpel. Detta resulterade i en tabell där varje rad representerade samma lilla mängd av pellets. En IID enhet av intresse analyserades sedan för att undersöka vilka variabler som har störst varians och påverkan genom en principal komponentsanalys (PCA) och lassoregression. Genom att använda dessa metoder konstaterades det att antalet variabler kunde reduceras till ett mindre antal variabler och ett nytt, mindre, dataset av de viktigaste variablerna skapades. Vidare, genom regression av beslutsträd med de viktigaste variablerna, konstaterades att beslutträdsregression och lassoregression hade liknande prestanda när data med de viktigaste variablerna användes. Beslutträdsregression och lassoregression användes för att experimentens resultat skulle ha en hög förklaringsgrad, vilket är viktigt för att kunna diskutera variabler med högst påverkan på slagguppbyggnaden och ge resultat som är tolkbara och användbara för LKAB:s processingenjörer.