36 resultados para load flow


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Tässä diplomityössä haluttiin mallintaa kuidutusrummun toimintaa Fluent virtausmallinusohjelman avulla. Aikaisempi tieto ja kehitystyö on perustunut kokemukseen ja käytännön kokeisiin. Kehitystyön alkuaikoina on suoritettu muutamia laskelmia koskien rummun tuottoa mutta sen jälkeen ei toimintaa ole laskennallisesti kuvattu. Työn ensimmäinen osa käsittelee yleisesti keräyspaperin käsittelyyn liittyviä laitteita ja menetelmiä. Toimintaperiaatteita on kuvattu yleisellä tasolla ja FibreFlow® rumpu on sitten käsitelty muita laitteita tarkemmin. Työn toinen osa sisältää sitten laboratoriotestit paikallisilta tahteilta hankittujen näytteiden viskositeettien ja tiheyksien määrittämiseksi. Kokeet suoritettiin Kemiantekniikan osastolla Brookfield viskoosimetrillä. Joitain alustavia laskentoja tuotosta suoritettiin aikaisempien tietojen perusteella. Rumpua kun on valmistettu vuodesta 1976, on tietoa kertynyt runsaasti vuosien mittaan. Laskelmia varten valittiin mallinnettavaksi alueeksi vain yksittäinen reikä sihdistä jolle laskettiin massavirta. Käytetyt laadut olivat OCC ja DIP. Myös eri rumpukoot otettiin jossain määrin huomioon.

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Schauman Wood Oy Pelloksen tehtaat on Euroopan suurin havuvanerin valmistaja. Tehtailla tukkien haudonnassa ja kuorien kuivaamisessa syntyvät jätevedet sekä sosiaalijätevedet puhdistetaan omassa biologisessa puhdistamossa. Puhdistamo rakennettiin alun perin aktiivilietelaitokseksi ja muutettiin kuormituksen kasvaessa vuonna 2002 kantoaineprosessiksi. Puhdistamolle laskettiin ensin optimaalinen kuormitus, jonka perusteella kuormitusta ryhdyttiin nostamaan. Tavoitteena oli saavuttaa virtaaman nostolla ja ajomallien muutoksilla tilavuuskuorma 1-3 kgBOD/m3•d. Kun tulovirtaamaa oli saatu nostettua riittävästi, tehtiin laskeutuskokeita laskeutuskemikaalin optimimäärän selvittämiseksi. Koeajojakson lopuksi pidettiin kolmen viikon tehotarkkailujakso, jolloin kokeiltiin puhdistamon ajoa erilaisilla kemikaalimäärillä. Näin saatiin selville tasemielessä tietyn puumäärän aiheuttama kuormitus puhdistamolle. Jätevedenpuhdistamon tulovirtaama saatiin nostettua tasolle 300- 350 m³/d, jolloin tilaavuuskuormaksi tuli 1,68 kgBOD/m3•d. Kolmen viikon tehotarkkailujakson aikana saatiin selvitettyä optimikemikaaliannostus sekä laskettua kolmesta eri vaihtoehdosta taloudellisesti kannattavin ajomalli. Puhdistusreduktioiden, puhdistamon toimivuuden ja taloudellisuuden kannalta paras vaihtoehto oli laskeutuskemikaalin ja polymeerin yhteiskäyttö.

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Työn tavoitteena oli löytää yhteys kerrosleijukattilaan syötetyn polttoaineseoksen sekä kattilan likaantumisen välille. Tulistinalueen likaantumista tutkittiin kahden kerrostumasondin avulla 28 päivää kestäneellä mittausjaksolla. Mittausten aikana otettiin näytteitä polttoaineseoksesta, lentotuhkasta sekä nuohouksen aikaisesta tuhkavirrasta. Mittausjakson jälkeen myös sondien tuhkakerrostumien pitoisuudet määritettiin. Mittausjakson aikana sondien jättöpinnoille muodostui tuhkakerrostumaa, joka voitiin poistaa nuohouksella, kun taas tulopinnalle syntyi pysyvää kerrostumaa. Nuohouksella irtoavan tuhkakerrostuman havaittiin sisältävän suuremmat pitoisuudet piitä, alumiinia, natriumia ja kaliumia kuin kattilan läpi jatkuvasti kulkevan lentotuhkan. Tuhkakerrostuma, jota ei nuohouksella saatu poistettua, sisälsi enemmän natriumia, rikkiä, kaliumia ja lyijyä kuin muut tuhkanäytteet. Polttoaineista turpeella oli merkittävin vaikutus likaantumiseen. Turpeen osuuden ollessa suurimmillaan jäivät jättöpinnan tuhkakerrostuman lämpövastukset pienemmiksi kuin muulloin eli lyhytaikaista kerrostumaa syntyi tällöin vähemmän. Pysyvän kerrostuman kasvu hidastui, kun turpeen osuus oli suuri, ja jopa pysähtyi, kun turpeen osuus oli 42-51 %. Prosessiolosuhteista tutkittiin kattilan kuorman vaikutusta likaantumiseen. Havaittiin, että ajettaessa kattilaa isommilla kuormilla, syntyi lyhytaikaista kerrostumaa vähemmän kuin muulloin.

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The purpose of this study was to investigate different laser cutting nozzles, nozzle flows and possibilities to improve nozzle flow. Another goal was to design new nozzle configuration in which laser cutting would succeed with better cutting speed and smaller gas consumption. Nozzles and nozzle flows were studied with various methods. Computational fluid dynamics was used to calculate old, convergent nozzles and new convergent-divergent nozzles. Measurement apparatus was used to measure both nozzle types. In cutting tests different materials were cut with new nozzles. With the use of design convergent-divergent nozzles 25 % better cutting speed and 33 % smaller gas consumption were achieved when cutting quality was good. Computational fluid dynamics was also discovered to be useful aid in nozzle design.

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Previous studies have demonstrated that clinical pulpal pain can induce the expression of pro-inflammatory neuropeptides in the adjacent gingival crevice fluid (GCF). Vasoactive agents such as substance P (SP) are known to contribute to the inflammatory type of pain and are associated with increased blood flow. More recent animal studies have shown that application of capsaicin on alveolar mucosa provokes pain and neurogenic vasodilatation in the adjacent gingiva. Pain-associated inflammatory reactions may initiate expression of several pro- and anti-inflammatory mediators. Collagenase-2 (MMP-8) has been considered to be the major destructive protease, especially in the periodontitis-affected gingival crevice fluid (GCF). MMP-8 originates mostly from neutrophil leukocytes, the first line of defence cells that exist abundantly in GCF, especially in inflammation. With this background, we wished to clarify the spatial extensions and differences between tooth-pain stimulation and capsaicin-induced neurogenic vasodilatation in human gingiva. Experiments were carried out to study whether tooth stimulation and capsaicin stimulation of alveolar mucosa would induce changes in GCF MMP-8 levels and whether tooth stimulation would release neuropeptide SP in GCF. The experiments were carried out on healthy human volunteers. During the experiments, moderate and high intensity painful tooth stimulation was performed by a constant current tooth stimulator. Moderate tooth stimulation activates A-delta fibres, while high stimulation also activates C-fibres. Painful stimulation of the gingiva was achieved by topical application of capsaicin-moistened filter paper on the mucosal surface. Capsaicin is known to activate selectively nociceptive C-fibres of stimulated tissue. Pain-evoked vasoactive changes in gingivomucosal tissues were mapped by laser Doppler imaging (LDI), which is a sophisticated and non-invasive method for studying e.g. spatial and temporal characteristics of pain- and inflammation-evoked blood flow changes in gingivomucosal tissues. Pain-evoked release of MMP-8 in GCF samples was studied by immunofluorometric assay (IFMA) and Western immunoblotting. The SP levels in GCF were analysed by Enzyme immunoassay (EIA). During the experiments, subjective stimulus-evoked pain responses were determined by a visual analogue pain scale. Unilateral stimulation of alveolar mucosa and attached gingiva by capsaicin evoked a distinct neurogenic vasodilatation in the ipsilateral gingiva, which attenuated rapidly at the midline. Capsaicin stimulation of alveolar mucosa provoked clear inflammatory reactions. In contrast to capsaicin stimuli, tooth stimulation produced symmetrical vasodilatations bilaterally in the gingiva. The ipsilateral responses were significantly smaller during tooth stimulation than during capsaicin stimuli. The current finding – that tooth stimulation evokes bilateral vasodilatation while capsaicin stimulation of the gingiva mainly produces unilateral vasodilatation – emphasises the usefulness of LDI in clarifying spatial features of neurogenic vasoactive changes in the intra-oral tissues. Capsaicin stimulation of the alveolar mucosa induced significant elevations in MMP-8 levels and activation in GCF of the adjacent teeth. During the experiments, no marked changes occurred in MMP-8 levels in the GCF of distantly located teeth. Painful stimulation of the upper incisor provoked elevations in GCF MMP-8 and SP levels of the stimulated tooth. The GCF MMP-8 and SP levels of the non-stimulated teeth were not changed. These results suggest that capsaicin-induced inflammatory reactions in gingivomucosal tissues do not cross the midline in the anterior maxilla. The enhanced reaction found during stimulation of alveolar mucosa indicates that alveolar mucosa is more sensitive to chemical irritants than the attached gingiva. Analysis of these data suggests that capsaicin-evoked neurogenic inflammation in the gingiva can trigger the expression and activation of MMP-8 in GCF of the adjacent teeth. In this study, it is concluded that experimental tooth pain at C-fibre intensity can induce local elevations in MMP-8 and SP levels in GCF. Depending on the role of MMP-8 in inflammation, in addition to surrogated tissue destruction, the elevated MMP-8 in GCF may also reflect accelerated local defensive and anti-inflammatory reactions.

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Industry's growing need for higher productivity is placing new demands on mechanisms connected with electrical motors, because these can easily lead to vibration problems due to fast dynamics. Furthermore, the nonlinear effects caused by a motor frequently reduce servo stability, which diminishes the controller's ability to predict and maintain speed. Hence, the flexibility of a mechanism and its control has become an important area of research. The basic approach in control system engineering is to assume that the mechanism connected to a motor is rigid, so that vibrations in the tool mechanism, reel, gripper or any apparatus connected to the motor are not taken into account. This might reduce the ability of the machine system to carry out its assignment and shorten the lifetime of the equipment. Nonetheless, it is usually more important to know how the mechanism, or in other words the load on the motor, behaves. A nonlinear load control method for a permanent magnet linear synchronous motor is developed and implemented in the thesis. The purpose of the controller is to track a flexible load to the desired velocity reference as fast as possible and without awkward oscillations. The control method is based on an adaptive backstepping algorithm with its stability ensured by the Lyapunov stability theorem. As a reference controller for the backstepping method, a hybrid neural controller is introduced in which the linear motor itself is controlled by a conventional PI velocity controller and the vibration of the associated flexible mechanism is suppressed from an outer control loop using a compensation signal from a multilayer perceptron network. To avoid the local minimum problem entailed in neural networks, the initial weights are searched for offline by means of a differential evolution algorithm. The states of a mechanical system for controllers are estimated using the Kalman filter. The theoretical results obtained from the control design are validated with the lumped mass model for a mechanism. Generalization of the mechanism allows the methods derived here to be widely implemented in machine automation. The control algorithms are first designed in a specially introduced nonlinear simulation model and then implemented in the physical linear motor using a DSP (Digital Signal Processor) application. The measurements prove that both controllers are capable of suppressing vibration, but that the backstepping method is superior to others due to its accuracy of response and stability properties.