A combined infrared/heat pump drying technology applied to a rotary dryer

Selostus: Yrttien ja vihannesten infrapunakuivaus rumpukuivurissa

Drying of Ink in Inkjet Printing

Tämän diplomityön tavoitteena oli saada perustietoa tekijöistä, jotka vaikuttavat musteen kuivumiseen erilaisilla paperipinnoilla inkjet tulostuksessa. Tavoitteena oli saada tietoa erilaisista musteista, joita käytetään yleisimmissä inkjet tulostustekniikoissa, miten paperit vaikuttavat musteen kuivumiseen ja minkälaisia menetelmiä on olemassa musteen kuivumistekijöiden määrittämiseen. Lisäksi tarkoituksena oli varmistaa, voidaanko inkjetmusteiden absorptioajan määrittämiseen käytettävää DIGAT-laitetta käyttää määrittämään ja ennustamaan erilaisten musteiden kuivumista erilaisilla paperipinnoilla sekä etsiä korrelaatioita musteen absorptioajan ja teknisten paperiominaisuuksien sekä inkjet tulostuksen laadun välillä. Kirjallisuusosassa tarkasteltiin erilaisia inkjet tulostusmenetelmiä, niissä käytettäviä musteita ja musteiden koostumuksia. Tutkittiin myös paperin ja musteen välisiä vuorovaikutuksia sekä inkjet tulostuksen laatua. Kokeellisessa osassa tutkittiin musteenabsorboitumista paperiin DIGAT-laitteen avulla. kuudella eri musteella. Paperinäytteistä määritettiin teknisiä paperiominaisuuksia sekä ominaisuuksia, jotka liittyvät inkjet tulostuksen laatuun. Inkjet tulostuksen laatua tarkasteltiin tulostamalla testikuva kolmella eri tulostimella, jotka olivat Canon Bubble Jet i950, HP DeskJet Cxi970 ja Epson Stylus C46. Havaittiin, että DIGAT-laite ei sovellu määrittämään musteen absorptioaikoja kiiltäville näytteille.Tässä tutkimuksessa näyte, jonka kiilto oli 65 %, oli liian kiiltävä mitattavaksi DIGAT-laitteella. Lisäksi absorptiomäärityksissä havaittiin, että erilaiset musteet asettuvat erilailla paperin pintaan ja että pigmenttipohjaisella musteella asettumisaika oli kaikista pisin. Musteiden absorptioajat olivat nopeimpia erikoisinkjetpaperilla ja hitaimpia päällystetyillä, tiiviillä papereilla. Musteen absorptioajan ja teknisten paperiominaisuuksien ja inkjet tulostuksen laadun välisiä korrelaatioita oli vaikea havaita. Voidaan sanoa, että tulokset olivat muste- ja printterikohtaisia. Havaittiin vain muutamia teknisiä paperiominaisuuksia, jotka korreloivat hyvin musteen absorboitumisen kanssa. Nämäolivat Gurley-Hill huokoisuus, paperin tuhka- sekä kalsiumkarbonaattipitoisuus ja K&N värinabsorptio. Myöskään inkjet tulostuksen laadun ja musteen absorption välisiä korrelaatioita ei löytynyt kuin muutama; densiteetti, mottling sekä bleeding. Tämän tutkimuksen perusteella voidaan todeta DIGAT-laitteen soveltuvan hyvin kuvaamaan inkjet tulostuksen laatuominaisuuksista densiteettia, mottlingia sekä bleedingiä. DIGAT-laitetta voidaan siis käyttää avuksi ennustettaessa kuivumisaikaa ja sen vaikutusta edellä mainittuihin ominaisuuksiin. Läpipainatusominaisuuksia DIGAT-laitteen avulla ei voida tutkia, sillä ne ovat enemmän riippuvaisia paperin neliömassasta, paksuudesta ja huokoisuudesta kuinmusteen absorptioajasta. Teknisistä paperiominaisuuksista Gurley-Hill huokoisuus, paperin tuhka-sekä CaCO3-pitoisuus ja K&N värinabsorptio kuvaavat hyvin musteen imeytymisaikaa paperiin, kun taas ominaisuudet Cobb, HST ja polaari- sekädispersiokomponentit eivät kuvaa. Näyttää siltä, että testikuva, joka on tällä hetkellä käytössä UPM Tutkimus-keskuksessa, ei sovellu suurtehotulostuksen laadun tarkkailuun. Testikuva toimii hyvin pöytätulostimilla ja perinteisillä kopiopapereilla ja inkjetpapereilla, jotka on tarkoitettu tulostettaviksi hitaasti. Tulostusnopeuden ja musteen kuivumisnopeuden välisiä ilmiöitä seei tuo esille, joten se ei sovellu kuvaamaan suurtehotulostusta.

Reuse of information for selection of methods and operating conditions for drying of pharmaceutical materials

Drying is a major step in the manufacturing process in pharmaceutical industries, and the selection of dryer and operating conditions are sometimes a bottleneck. In spite of difficulties, the bottlenecks are taken care of with utmost care due to good manufacturing practices (GMP) and industries' image in the global market. The purpose of this work is to research the use of existing knowledge for the selection of dryer and its operating conditions for drying of pharmaceutical materials with the help of methods like case-based reasoning and decision trees to reduce time and expenditure for research. The work consisted of two major parts as follows: Literature survey on the theories of spray dying, case-based reasoning and decision trees; working part includes data acquisition and testing of the models based on existing and upgraded data. Testing resulted in a combination of two models, case-based reasoning and decision trees, leading to more specific results when compared to conventional methods.

The effect of microfibrillated cellulose addition on drying shrinkage and dimensional stability of wood-free paper

Microfibrillated cellulose (MFC) is known to enhance strength properties of paper. Improved strength usually means increased bonding which is strongly connected to dimensional instability of paper. Dimensional instability is due to changes in moisture content of paper; when paper is moistened it expands and when dried, it shrinks. Hygroexpansion is linked to end-use problems and excessive drying shrinkage consumes strength potential. Effective use of materials requires controlling of these phenomena. There isn’t yet data concerning dimensional stability of papers containing MFC which restricts wider use of MFC. Main objective of the work was to evaluate dimensional stability of wood-free paper containing different amounts of MFC. Sheets were dried with different methods to see how drying strains effected on drying shrinkage and hygroexpansion. Also tensile strength was measured to find out the effect of MFC. Results were compared to sheets containing kraft fines and in some test points cationic starch was used alongside with MFC. MFC increased the dimensional instability of freely dried sheets. As the amounts of MFC increased the effects on dimensional stability became more severe. However the fineness of MFC didn’t play any important role. Both hygroexpansion and drying shrinkage were decreased with cationic starch addition. Prevention of drying shrinkage over powered the effects of additives on hygroexpansion. Tensile strength improved up till 7 % addition amount which could be set as the upper limit of MFC addition when paper preparation and tensile strength are concerned.

Membrane properties of structurally modified ceramides : effects on lipid lateral distribution and sphingomyelin-interactions in artificial bilayer membranes

Ceramides comprise a class of sphingolipids that exist only in small amounts in cellular membranes, but which have been associated with important roles in cellular signaling processes. The influences that ceramides have on the physical properties of bilayer membranes reach from altered thermodynamical behavior to significant impacts on the molecular order and lateral distribution of membrane lipids. Along with the idea that the membrane physical state could influence the physiological state of a cell, the membrane properties of ceramides have gained increasing interest. Therefore, membrane phenomena related to ceramides have become a subject of intense study both in cellular as well as in artificial membranes. Artificial bilayers, the so called model membranes, are substantially simpler in terms of contents and spatio-temporal variation than actual cellular membranes, and can be used to give detailed information about the properties of individual lipid species in different environments. This thesis focuses on investigating how the different parts of the ceramide molecule, i.e., the N-linked acyl chain, the long-chain sphingoid base and the membrane-water interface region, govern the interactions and lateral distribution of these lipids in bilayer membranes. With the emphasis on ceramide/sphingomyelin(SM)-interactions, the relevance of the size of the SMhead group for the interaction was also studied. Ceramides with methylbranched N-linked acyl chains, varying length sphingoid bases, or methylated 2N (amide-nitrogen) and 3O (C3-hydroxyl) at the interface region, as well as SMs with decreased head group size, were synthesized and their bilayer properties studied by calorimetric and fluorescence spectroscopic techniques. In brief, the results showed that the packing of the ceramide acyl chains was more sensitive to methyl-branching in the mid part than in the distal end of the N-linked chain, and that disrupting the interfacial structure at the amide-nitrogen, as opposed to the C3-hydroxyl, had greater effect on the interlipid interactions of ceramides. Interestingly, it appeared that the bilayer properties of ceramides could be more sensitive to small alterations in the length of the long-chain base than what was previously reported for the N-linked acyl chain. Furthermore, the data indicated that the SM-head group does not strongly influence the interactions between SMs and ceramides. The results in this thesis illustrate the pivotal role of some essential parts of the ceramide molecules in determining their bilayer properties. The thesis provides increased understanding of the molecular aspects of ceramides that possibly affect their functions in biological membranes, and could relate to distinct effects on cell physiology.

Forecasting of wind speeds and directions with artificial neural networks

In this master’s thesis, wind speeds and directions were modeled with the aim of developing suitable models for hourly, daily, weekly and monthly forecasting. Artificial Neural Networks implemented in MATLAB software were used to perform the forecasts. Three main types of artificial neural network were built, namely: Feed forward neural networks, Jordan Elman neural networks and Cascade forward neural networks. Four sub models of each of these neural networks were also built, corresponding to the four forecast horizons, for both wind speeds and directions. A single neural network topology was used for each of the forecast horizons, regardless of the model type. All the models were then trained with real data of wind speeds and directions collected over a period of two years in the municipal region of Puumala in Finland. Only 70% of the data was used for training, validation and testing of the models, while the second last 15% of the data was presented to the trained models for verification. The model outputs were then compared to the last 15% of the original data, by measuring the mean square errors and sum square errors between them. Based on the results, the feed forward networks returned the lowest generalization errors for hourly, weekly and monthly forecasts of wind speeds; Jordan Elman networks returned the lowest errors when used for forecasting of daily wind speeds. Cascade forward networks gave the lowest errors when used for forecasting daily, weekly and monthly wind directions; Jordan Elman networks returned the lowest errors when used for hourly forecasting. The errors were relatively low during training of the models, but shot up upon simulation with new inputs. In addition, a combination of hyperbolic tangent transfer functions for both hidden and output layers returned better results compared to other combinations of transfer functions. In general, wind speeds were more predictable as compared to wind directions, opening up opportunities for further research into building better models for wind direction forecasting.

Artificial Ribonucleases: Oligonucleotides Conjugated with Metal Ion Chelates of Azacrowns

Ribonucleic acid (RNA) has many biological roles in cells: it takes part in coding, decoding, regulating and expressing of the genes as well as has the capacity to work as a catalyst in numerous biological reactions. These qualities make RNA an interesting object of various studies. Development of useful tools with which to investigate RNA is a prerequisite for more advanced research in the field. One of such tools may be the artificial ribonucleases, which are oligonucleotide conjugates that sequence-selectively cleave complementary RNA targets. This thesis is aimed at developing new efficient metal-ion-based artificial ribonucleases. On one hand, to solve the challenges related to solid-supported synthesis of metal-ion-binding conjugates of oligonucleotides, and on the other hand, to quantify their ability to cleave various oligoribonucleotide targets in a pre-designed sequence selective manner. In this study several artificial ribonucleases based on cleaving capability of metal ion chelated azacrown moiety were designed and synthesized successfully. The most efficient ribonucleases were the ones with two azacrowns close to the 3´- end of the oligonucleotide strand. Different transition metal ions were introduced into the azacrown moiety and among them, the Zn2+ ion was found to be better than Cu2+ and Ni2+ ions.

Artificial reflecting structures based on metamaterials

This thesis studies metamaterial-inspired mirrors which provide the most general control over the amplitude and phase of the reflected wavefront. The goal is to explore practical possibilities in designing fully reflective electromagnetic structures with full control over reflection phase. The first part of the thesis describes a planar focusing metamirror with the focal distance less than the operating wavelength. Its practical applicability from the viewpoint of aberrations when the incident angle deviates from the normal one is verified numerically and experimentally. The results indicate that the proposed focusing metamirror can be efficiently employed in many different applications due to its advantages over other conventional mirrors. In the second part of the thesis a new theoretical concept of reflecting metasurface operation is introduced based on Huygens’ principle. This concept in contrast to known approaches takes into account all the requirements of perfect metamirror operation. The theory shows a route to improve the previously proposed metamirrors through tilting the individual inclusions of the structure at a chosen angle from normal. It is numerically tested and the results demonstrate improvements over the previous design.

Modelling the colour difference by artificial neural network

This thesis work studies the modelling of the colour difference using artificial neural network. Multilayer percepton (MLP) network is proposed to model CIEDE2000 colour difference formula. MLP is applied to classify colour points in CIE xy chromaticity diagram. In this context, the evaluation was performed using Munsell colour data and MacAdam colour discrimination ellipses. Moreover, in CIE xy chromaticity diagram just noticeable differences (JND) of MacAdam ellipses centres are computed by CIEDE2000, to compare JND of CIEDE2000 and MacAdam ellipses. CIEDE2000 changes the orientation of blue areas in CIE xy chromaticity diagram toward neutral areas, but on the whole it does not totally agree with the MacAdam ellipses. The proposed MLP for both modelling CIEDE2000 and classifying colour points showed good accuracy and achieved acceptable results.