Passiivisten turvallisuusjärjestelmien luontaiset virhetoiminnot ydinvoimalaitoksessa

Uusissa ydinvoimalaitostyypeissä aiotaan käyttää aiempaa enemmän passiivisia turvallisuusjärjestelmiä. Näistä järjestelmistä on vielä vähän käyttökokemusta aktiivisiin turvallisuusjärjestelmiin verrattuna. Työssä tarkastellaan passiivisten turvallisuusjärjestelmien toimintaa sekä etsitään niiden mahdollisia luontaisia vikatilanteita. Luontaisten vikatilanteiden seurauksia järjestelmän suorituskykyyn arvioitiin yksinkertaisilla laskuilla ja mallintamalla RELAP5/MOD3.2.2 beta -termohydrauliikkaohjelmalla. Tarkastelu rajattiin kahden erityyppisen ydinvoimalaitoksen passiivisiin turvallisuusjärjestelmiin. Turvallisuusjärjestelmien suuntaa antavat mitat ja käyttötilanteiden parametrit saatiin laitosvalmistajien laitoskuvauksista. Osoittautui, että vikatilanteissa passiivisissa turvallisuusjärjestelmissä geometrialla on merkittävä vaikutus järjestelmän kapasiteettiin. Tarkasteluissa saatiin myös selville, että laitosmittakaavassa painovoimaisen hätälisävesijärjestelmän turvallisuustoiminto voi toteutua vaikka esiintyisi lyhytaikaisia toimintahäiriöitä, kuten lauhtumista hätälisävesisäiliössä. Sen sijaan lämmönsiirtopiirin virtausreittien tukkeutuminen voi olla fysikaalisesti merkittävä toimintaa haittaava tekijä.

Operational Knowledge in Process Design

Työn tarkoituksena on selvittää, miten käyttötietämystä hyödynnetään prosessisuunnittelussa. Tavoitteena on löytää keinoja parantaa käyttötietämyksen hallintaa suunnitteluprosessin aikana ja selvittää, vaikuttaako tämä prosessisuunnittelun laatuun.Prosessisuunnittelun laatua arvioidaan seitsemällä kriteerillä, jotka ovat investointikustannukset, käyttökustannukset, turvallisuus, ympäristövaikutukset, käytettävyys, innovatiivisuus ja aikataulu. Suunnitteluprosessi jaetaan kolmeen vaiheeseen: esisuunnitteluun, perussuunnitteluun ja detaljisuunnitteluun. Prosessisuunnittelua, investointiprojektia, prosessisuunnittelun laatukriteerejä, suunnitteluprosessin eri vaiheita ja käyttötietämyksen luokittelua tarkastellaan yleisesti. Työssä selvitettiin käyttötietämyksen hyödyntämistä Kemiralla. Aluksi muotoiltiin yleisiä väittämiä käyttötietämyksen hyödyntämisestä Kemiran ulkopuolisten eri alojen asiantuntijoiden haastattelujen perusteella. Tämän jälkeen Kemiran prosessisuunnittelijat arvioivat väittämiä. Arvioiden perusteella tehtiin johtopäätöksiä yleisesti käyttötietämyksen hyödyntämisestä prosessisuunnittelussa. Seuraavaksi haastateltiin kahdessa erityyppisessä case-projektissa mukana olleita henkilöitä ja muotoiltiin yleiset väittämät näihin projekteihin sopiviksi. Projekteissa mukana olleet henkilöt arvioivat väittämiä, ja näiden arvioiden perusteella projekteja vertailtiin keskenään. Lopussa esitetään johtopäätökset kaikkien väittämien arvioiden perusteella. Johtopäätöksenä voidaan todeta, että käyttötietämystä voidaan hyödyntää kaikissa suunnittelun vaiheissa, mutta paras hyöty saadaan perus- ja detaljisuunnittelussa. Käyttötietämyksellä voidaan vaikuttaa joihinkin prosessisuunnittelun laatukriteereihin, kuten esimerkiksi käytettävyyteen ja turvallisuuteen enemmän kuin muihin. Kemiralle suositellaan nykyisten tiedonhallintamenetelmien kehittämistä, jotta käyttötietämyksen saatavuus ja sen siirtäminen paranisi. Pr

Elinkaarikustannusanalyysi teknologiayrityksessä

Työn tavoitteena oli suunnitella ja toteuttaa elinkaarikustannusten laskentasovellus teknologiaympäristössä. Ensin luotiin elinkaarikustannuslaskennalle viitekehys ja työlle teoreettinen pohja kirjallisuuslähteiden perusteella. Varsinainen tutkimus aloitettiin strategisille asiakkaille suunnatulla tutkimuksella heidän käyttämistään sovelluksista elinkaarikustannusten laskentaan, laskennan menetelmistä sekä yhteistyön kannalta oleellisista kustannusparametreista. Lisäksi selvitettiin yrityksen omat tarpeet laskennalle.Seuraavaksi kartoitettiin markkinoilta löytyviä sovelluksia elinkaarikustannusten hallintaan, joista valittiin neljä tarkempaan vertailuun aiemmin selvitettyjen vaatimusten perusteella. Vaihtoehtona harkittiin myös oman laskentasovelluksen kehittämistä, mutta todettiin vertailussa löytyneen valmiin ohjelmiston täyttävän sovellukselle asetetut vaatimukset niin hyvin, ettei oman sovelluksen suunnittelun katsottu olevan tarpeellista.Lopuksi muokattiin valittu sovellus toimimaan tulevassa käyttöympäristössä ja luotiin käytön kannalta oleelliset tietokannat elinkaarikustannusten laskennassa tarvittaville lähtötiedoille. Samalla luotiin myös toimintarutiinit ja jaettiin vastuut sovelluksen tulevaa käyttöä ja tietokantojen päivitystä varten. Tutkimuksen tuloksena saatiin yrityksen käyttöön luotua sekä yrityksen että asiakkaiden vaatimukset täyttävä sovellus elinkaarikustannusten laskentaan.

Diversification and its reflections on profitability - strategic change in pulp and paper industry in the years 1996 and 2006

The purpose of the thesis was to analyze diversification in pulp and paper industry (PPI), which is an industry facing enormous strategic challenges as many of the basic parameters of its operational environment are rapidly changing. The objective was to explore, how PPI companies have reacted to these changes by adjusting their strategies in terms of diversification and how the adjustments have affected their profitability. The study was statistical in nature. The results indicate that PPI companies in deed had reduced the degree of unrelated and related diversification , but the positive performance implications of the changes were debatable. In light of the data used in the study lower level of diversification did not lead to better profitability, in fact, the companies with the highest level of diversification had the best profitability. By contrast, reducing the level of unrelated diversification improved the profitability development; whereas reducing the level of related diversification deteriorated the profitability of the company. The results were not statistically significant and they cannot be generalized outside the data of the study.

Operational Reliability Analysis of a Three-Tiered Thin-Client ERP-system in an International Corporate Environment

Internationalization and the following rapid growth have created the need to concentrate the IT systems of many small-to-medium-sized production companies. Enterprise Resource Planning systems are a common solution for such companies. Deployment of these ERP systems consists of many steps, one of which is the implementation of the same shared system at all international subsidiaries. This is also one of the most important steps in the internationalization strategy of the company from the IT point of view. The mechanical process of creating the required connections for the off-shore sites is the easiest and most well-documented step along the way, but the actual value of the system, once operational, is perceived in its operational reliability. The operational reliability of an ERP system is a combination of many factors. These factors vary from hardware- and connectivity-related issues to administrative tasks and communication between decentralized administrative units and sites. To accurately analyze the operational reliability of such system, one must take into consideration the full functionality of the system. This includes not only the mechanical and systematic processes but also the users and their administration. All operational reliability in an international environment relies heavily on hardware and telecommunication adequacy so it is imperative to have resources dimensioned with regard to planned usage. Still with poorly maintained communication/administration schemes no amount of bandwidth or memory will be enough to maintain a productive level of reliability. This thesis work analyzes the implementation of a shared ERP system to an international subsidiary of a Finnish production company. The system is Microsoft Dynamics Ax, currently being introduced to a Slovakian facility, a subsidiary of Peikko Finland Oy. The primary task is to create a feasible base of analysis against which the operational reliability of the system can be evaluated precisely. With a solid analysis the aim is to give recommendations on how future implementations are to be managed.

Flash Memory Cells Reliability Parameters Investigation

The present work is a part of the large project with purpose to qualify the Flash memory for automotive application using a standardized test and measurement flow. High memory reliability and data retention are the most critical parameters in this application. The current work covers the functional tests and data retention test. The purpose of the data retention test is to obtain the data retention parameters of the designed memory, i.e. the maximum time of information storage at specified conditions without critical charge leakage. For this purpose the charge leakage from the cells, which results in decrease of cells threshold voltage, was measured after a long-time hightemperature treatment at several temperatures. The amount of lost charge for each temperature was used to calculate the Arrhenius constant and activation energy for the discharge process. With this data, the discharge of the cells at different temperatures during long time can be predicted and the probability of data loss after years can be calculated. The memory chips, investigated in this work, were 0.035 μm CMOS Flash memory testchips, designed for further use in the Systems-on-Chips for automotive electronics.

Improvement of Operational Efficiency effectiveness (OEE) using Six Sigma DMAIC Methodology — Case Bottomer line AD2378

Overall Equipment Effectiveness (OEE) is the key metric of operational excellence. OEE monitors the actual performance of equipment relative to its performance capabilities under optimal manufacturing conditions. It looks at the entire manufacturing environment measuring, in addition to the equipment availability, the production efficiency while the equipment is available to run products, as well as the efficiency loss that results from scrap, rework, and yield losses. The analysis of the OEE provides improvement opportunities for the operation. One of the tools used for OEE improvement is Six Sigma DMAIC methodology which is a set of practices originally developed to improve processes by eliminating defects. It asserts the continuous efforts to reduce variation in process outputs as key to business success, as well as the possibility of measurement, analysis, improvement and control of manufacturing and business processes. In the case of the Bottomer line AD2378 in Papsac Maghreb Casablanca plant, the OEE figures reached 48.65 %, which is below the accepted OEE group performance. This required immediate actions to achieve OEE improvement. This Master thesis focuses on the application of Six Sigma DMAIC methodology in the OEE improvement on the Bottomer Line AD2378 in Papsac Maghreb Casablanca plant. First, the Six Sigma DMAIC and OEE usage in operation measurement will be discussed. Afterwards, the different DMAIC phases will allow the identification of improvement focus, the identification of OEE low performance causes and the design of improvement solutions. These will be implemented to allow further tracking of improvement impact on the plant operations.

Reconstruction and analysis of surface variation using photometric stereo

In many industrial applications, accurate and fast surface reconstruction is essential for quality control. Variation in surface finishing parameters, such as surface roughness, can reflect defects in a manufacturing process, non-optimal product operational efficiency, and reduced life expectancy of the product. This thesis considers reconstruction and analysis of high-frequency variation, that is roughness, on planar surfaces. Standard roughness measures in industry are calculated from surface topography. A fast and non-contact method to obtain surface topography is to apply photometric stereo in the estimation of surface gradients and to reconstruct the surface by integrating the gradient fields. Alternatively, visual methods, such as statistical measures, fractal dimension and distance transforms, can be used to characterize surface roughness directly from gray-scale images. In this thesis, the accuracy of distance transforms, statistical measures, and fractal dimension are evaluated in the estimation of surface roughness from gray-scale images and topographies. The results are contrasted to standard industry roughness measures. In distance transforms, the key idea is that distance values calculated along a highly varying surface are greater than distances calculated along a smoother surface. Statistical measures and fractal dimension are common surface roughness measures. In the experiments, skewness and variance of brightness distribution, fractal dimension, and distance transforms exhibited strong linear correlations to standard industry roughness measures. One of the key strengths of photometric stereo method is the acquisition of higher frequency variation of surfaces. In this thesis, the reconstruction of planar high-frequency varying surfaces is studied in the presence of imaging noise and blur. Two Wiener filterbased methods are proposed of which one is optimal in the sense of surface power spectral density given the spectral properties of the imaging noise and blur. Experiments show that the proposed methods preserve the inherent high-frequency variation in the reconstructed surfaces, whereas traditional reconstruction methods typically handle incorrect measurements by smoothing, which dampens the high-frequency variation.

Gamma spectrometry and gamma and X-ray tomography of nuclear fuel

The purpose of gamma spectrometry and gamma and X-ray tomography of nuclear fuel is to determine both radionuclide concentration and integrity and deformation of nuclear fuel. The aims of this thesis have been to find out the basics of gamma spectrometry and tomography of nuclear fuel, to find out the operational mechanisms of gamma spectrometry and tomography equipment of nuclear fuel, and to identify problems that relate to these measurement techniques. In gamma spectrometry of nuclear fuel the gamma-ray flux emitted from unstable isotopes is measured using high-resolution gamma-ray spectroscopy. The production of unstable isotopes correlates with various physical fuel parameters. In gamma emission tomography the gamma-ray spectrum of irradiated nuclear fuel is recorded for several projections. In X-ray transmission tomography of nuclear fuel a radiation source emits a beam and the intensity, attenuated by the nuclear fuel, is registered by the detectors placed opposite. When gamma emission or X-ray transmission measurements are combined with tomographic image reconstruction methods, it is possible to create sectional images of the interior of nuclear fuel. MODHERATO is a computer code that simulates the operation of radioscopic or tomographic devices and it is used to predict and optimise the performance of imaging systems. Related to the X-ray tomography, MODHERATO simulations have been performed by the author. Gamma spectrometry and gamma and X-ray tomography are promising non-destructive examination methods for understanding fuel behaviour under normal, transient and accident conditions.

Energy efficiency parameters in variable speed drives

The main purpose of this thesis is to measure and evaluate how accurately the current energy saving calculation in ABB’s new variable speed drive ACS850 works. The main topic of this thesis is energy-efficiency parameters. At the beginning of this thesis centrifugal pump, squirrel cage motor and variable speed drive, including some equations related to them, are being introduced. Also methods of throttling control and variable speed drive control of centrifugal pumps are being introduced. These subjects are introduced because the energy saving calculation in ACS850 is related to the centrifugal pumps usually driven by squirrel cage motors. The theory also includes short section about specific energy of pumping. Before measurements the current energy saving calculation of ACS850 is being introduced and analyzed. The measurements part includes introduction of measuring equipment, measurement results, summary and analysis of the measurements. At the end of this thesis a proposal for an improvement to the current energy saving calculation is being introduced and few proposals are made for new energy-efficiency parameters, which could be added to variable speed drives. At the end are also thoughts

Ultrafine grinding of FGD and phosphogypsum with an attrition bead mill and a jet mill : optimisation and modelling of grinding and mill comparison

Fine powders of minerals are used commonly in the paper and paint industry, and for ceramics. Research for utilizing of different waste materials in these applications is environmentally important. In this work, the ultrafine grinding of two waste gypsum materials, namely FGD (Flue Gas Desulphurisation) gypsum and phosphogypsum from a phosphoric acid plant, with the attrition bead mill and with the jet mill has been studied. The ' objective of this research was to test the suitability of the attrition bead mill and of the jet mill to produce gypsum powders with a particle size of a few microns. The grinding conditions were optimised by studying the influences of different operational grinding parameters on the grinding rate and on the energy consumption of the process in order to achieve a product fineness such as that required in the paper industry with as low energy consumption as possible. Based on experimental results, the most influential parameters in the attrition grinding were found to be the bead size, the stirrer type, and the stirring speed. The best conditions, based on the product fineness and specific energy consumption of grinding, for the attrition grinding process is to grind the material with small grinding beads and a high rotational speed of the stirrer. Also, by using some suitable grinding additive, a finer product is achieved with a lower energy consumption. In jet mill grinding the most influential parameters were the feed rate, the volumetric flow rate of the grinding air, and the height of the internal classification tube. The optimised condition for the jet is to grind with a small feed rate and with a large rate of volumetric flow rate of grinding air when the inside tube is low. The finer product with a larger rate of production was achieved with the attrition bead mill than with the jet mill, thus the attrition grinding is better for the ultrafine grinding of gypsum than the jet grinding. Finally the suitability of the population balance model for simulation of grinding processes has been studied with different S , B , and C functions. A new S function for the modelling of an attrition mill and a new C function for the modelling of a jet mill were developed. The suitability of the selected models with the developed grinding functions was tested by curve fitting the particle size distributions of the grinding products and then comparing the fitted size distributions to the measured particle sizes. According to the simulation results, the models are suitable for the estimation and simulation of the studied grinding processes.

On the effects of welding parameters on weld quality of plasma arc keyhole welding of structural steels

The possibility and the usefulness of applying plasma keyhole welding to structural steels with different compositions and material thicknesses, and in various welding positions has been examinated. Single pass butt welding with I groove in flat, horizontal vertical and vertical positions and root welding with V , Y and U grooves of thick plate material in flat position have been studied and the welds with high quality has been obtained. The technological conditions for successful welding are presented. The single and interactive effects of welding parameters on weld quality, especially on surface weld defects, geometrical form errors, internal defects and mechanical properties (strength, ductility, impact toughness, hardness and bendability) of weld joint, are presented. Welding parameter combinations providing the best quality welds are also presented.

The effects of real time control of welding parameters on weld quality in plasma arc keyhole welding

Joints intended for welding frequently show variations in geometry and position, for which it is unfortunately not possible to apply a single set of operating parameters to ensure constant quality. The cause of this difficulty lies in a number of factors, including inaccurate joint preparation and joint fit up, tack welds, as well as thermal distortion of the workpiece. In plasma arc keyhole welding of butt joints, deviations in the gap width may cause weld defects such as an incomplete weld bead, excessive penetration and burn through. Manual adjustment of welding parameters to compensate for variations in the gap width is very difficult, and unsatisfactory weld quality is often obtained. In this study a control system for plasma arc keyhole welding has been developed and used to study the effects of the real time control of welding parameters on gap tolerance during welding of austenitic stainless steel AISI 304L. The welding tests demonstrated the beneficial effect of real time control on weld quality. Compared with welding using constant parameters, the maximum tolerable gap width with an acceptable weld quality was 47% higher when using the real time controlled parameters for a plate thickness of 5 mm. In addition, burn through occurred with significantly larger gap widths when parameters were controlled in real time. Increased gap tolerance enables joints to be prepared and fit up less accurately, saving time and preparation costs for welding. In addition to the control system, a novel technique for back face monitoring is described in this study. The test results showed that the technique could be successfully applied for penetration monitoring when welding non magnetic materials. The results also imply that it is possible to measure the dimensions of the plasma efflux or weld root, and use this information in a feedback control system and, thus, maintain the required weld quality.

The Effect of Operational Disturbances on Reliability and Operation Time Distribution of NCmachine Tools in FMS

This thesis concentrates on studying the operational disturbance behavior of machine tools integrated into FMS. Operational disturbances are short term failures of machine tools which are especially disruptive to unattended or unmanned operation of FMS. The main objective was to examine the effect of operational disturbances on reliability and operation time distribution for machine tools. The theoretical part of the thesis covers the fimdamentals of FMS relating to the subject of this study. The concept of FMS, its benefits and operator's role in FMS operation are reviewed. The importance of reliability is presented. The terms describing the operation time of machine tools are formed by adopting standards and references. The concept of failure and indicators describing reliability and operational performance for machine tools in FMSs are presented. The empirical part of the thesis describes the research methodology which is a combination of automated (ADC) and manual data collection. By using this methodology it is possible to have a complete view of the operation time distribution for studied machine tools. Data collection was carried out in four FMSs consisting of a total of 17 machine tools. Each FMS's basic features and the signals of ADC are described. The indicators describing the reliability and operation time distribution of machine tools were calculated according to collected data. The results showed that operational disturbances have a significant influence on machine tool reliability and operational performance. On average, an operational disturbance occurs every 8,6 hours of operation time and has a down time of 0,53 hours. Operational disturbances cause a 9,4% loss in operation time which is twice the amount of losses caused by technical failures (4,3%). Operational disturbances have a decreasing influence on the utilization rate. A poor operational disturbance behavior decreases the utilization rate. It was found that the features of a part family to be machined and the method technology related to it are defining the operational disturbance behavior of the machine tool. Main causes for operational disturbances were related to material quality variations, tool maintenance, NC program errors, ATC and machine tool control. Operator's role was emphasized. It was found that failure recording activity of the operators correlates with the utilization rate. The more precisely the operators record the failure, the higher is the utilization rate. Also the FMS organizations which record failures more precisely have fewer operational disturbances.