Electrical and magnetic properties of new compounds of the conductor anion [Ni(dmit)2]- and nitronyl nitroxide magnetic radicals

Three compounds have been synthesized with formulae [3-MeRad][Ni(dmit)2] (1), [4-MeRad][Ni(dmit)2] (2) and [4-PrRad][Ni(dmit)2] (3) where [Ni(dmit)2]- is an anionic pi-radical (dmit = 1,3-dithiol-2-thione-4,5-dithiolate) and [3-MeRad]+ is 3-N-methylpyridinium alpha-nitronyl nitroxide, [4-MeRad]+ is 4-N-methylpyridinium alpha-nitronyl nitroxide and [4-PrRad]+ is 4-N-propylpyridinium alpha-nitronyl nitroxide. The temperature-dependent magnetic susceptibility of 1 revealed that an antiferromagnetic interaction operates between the 3-MeRad+ radical cations with exchange coupling constants of J1 = - 1.72 cm-1 and antiferromagnetism assigned to the spin ladder chains of the Ni(dmit)2 radical anions. Compound 1 exhibits semiconducting behavior and 3 presents capacitor behavior in the temperature range studied (4 - 300 K).

Calculation of radio electrical coverage in Medium-Wave Frequencies

The aim of this project is to accomplish an application software based on Matlab to calculate the radioelectrical coverage by surface wave of broadcast radiostations in the band of Medium Wave (WM) all around the world. Also, given the location of a transmitting and a receiving station, the software should be able to calculate the electric field that the receiver should receive at that specific site. In case of several transmitters, the program should search for the existence of Inter-Symbol Interference, and calculate the field strenght accordingly. The application should ask for the configuration parameters of the transmitter radiostation within a Graphical User Interface (GUI), and bring back the resulting coverage above a map of the area under study. For the development of this project, it has been used several conductivity databases of different countries, and a high-resolution elevation database (GLOBE). Also, to calculate the field strenght due to groundwave propagation, it has been used ITU GRWAVE program, which must be integrated into a Matlab interface to be used by the application developed.

Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks

This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series, but also determines the best neural network architecture. An experimental analysis is performed using four real time series and the results are shown in terms of six performance measures. The experimental results demonstrate that the proposed methodology achieves a fair prediction of the presented pollutant time series by using compact networks.

STAPHYLOCOCCUS AUREUS BIOFILM FORMATION ON POLYPYRROLE: AN ELECTRICAL OVERVIEW

The development of organic devices based on conducting polymers for biofilm detection requires the combination of superior electrical response and high surface area for biofilm incorporation. Polypyrrole is a potential candidate for application in biofilm detection and control due to its characteristic superior electrical response and strong interaction with bacteria, which enables the use of the bioelectric effect in resulting devices. In this study, chemically synthesized polypyrrole was applied as a support for biofilm growth of S. aureus. Modifications in the electrical response of the polymeric template were explored to identify general mechanisms established during the deposition of the biofilm.

Improving demand forecasting practices in the industrial context

Demand forecasting is one of the fundamental managerial tasks. Most companies do not know their future demands, so they have to make plans based on demand forecasts. The literature offers many methods and approaches for producing forecasts. When selecting the forecasting approach, companies need to estimate the benefits provided by particular methods, as well as the resources that applying the methods call for. Former literature points out that even though many forecasting methods are available, selecting a suitable approach and implementing and managing it is a complex cross-functional matter. However, research that focuses on the managerial side of forecasting is relatively rare. This thesis explores the managerial problems that are involved when demand forecasting methods are applied in a context where a company produces products for other manufacturing companies. Industrial companies have some characteristics that differ from consumer companies, e.g. typically a lower number of customers and closer relationships with customers than in consumer companies. The research questions of this thesis are: 1. What kind of challenges are there in organizing an adequate forecasting process in the industrial context? 2. What kind of tools of analysis can be utilized to support the improvement of the forecasting process? The main methodological approach in this study is design science, where the main objective is to develop tentative solutions to real-life problems. The research data has been collected from two organizations. Managerial problems in organizing demand forecasting can be found in four interlinked areas: 1. defining the operational environment for forecasting, 2. defining the forecasting methods, 3. defining the organizational responsibilities, and 4. defining the forecasting performance measurement process. In all these areas, examples of managerial problems are described, and approaches for mitigating these problems are outlined.

Jätehuoltosuunnitelman laatiminen elektroniikka-alan yritykselle

Sähkö- ja elektroniikka-alan yritykset eivät yleensä kuormita merkittävästi ympäristöä, sillä teollisuudenalan suurimmat ympäristövaikutukset aiheutuvat alihankkijoiden ja komponenttivalmistajien toiminnasta. Yritysten oma toiminta perustuu pitkälti tuotekehitykseen ja tuotteiden loppukokoonpanoon valmiista komponenteista. Syntynyt jäte on tyypillisesti pääosin pakkausjätettä, metalleja, kaatopaikkajätettä ja vähäisessä määrin myös ongelmajätettä. Vähäisen ympäristökuormituksen johdosta yrityksiltä ei yleensä vaadita ympäristölupaa. Diplomityössä laadittiin jätehuoltosuunnitelma elektroniikka-alan yritykselle. Työ suoritettiin Kemppi Oy:n toimeksiannosta Lahdessa. Jätehuoltosuunnitelman noudattaminen parantaa yrityksen julkisuuskuvaa ja tuo kustannussäästöjä. Toimivan suunnitelman laatiminen vaatii kuitenkin aikaa ja muita resursseja. Jätehuollon toimivuus on tarkistettava säännöllisesti, etenkin silloin kun yrityksen toiminnan painopiste muuttuu. Käytännön osuudessa kartoitettiin edellisvuosien jätemäärät ja yrityksen jätehuollon tila. Jätehuoltosuunnitelman laatimiselle oli selkeä tarve, koska jätehuolto perustui osin kirjoittamattomiin sääntöihin ja vanhoihin tottumuksiin. Syntypaikkalajittelua tehostettiin lisäämällä jäteastioita ja -pisteitä jätteiden syntypaikoille. Lajittelua parannettiin myös laatimalla selkeät ohjeet ja kouluttamalla työntekijöitä.

Sähkökäyttöinen moottorikelkka

Diplomityö on tehty Lappeenrannan teknillisen yliopiston sähkötekniikan yksikössä. Työssä tarkastellaan mahdollisuuksia toteuttaa sähkökäyttöinen moottorikelkka. Työn alussa selvitetään, millaiset ovat moottorikelkan käytön aiheuttamat kuormat ja pyörimisnopeusalueet sekä miten polttomoottorit niistä selviävät. Seuraavaksi tarkastellaan eri sähkömoottorityyppien ja akkuvaihtoehtojen soveltuvuutta vastaavaan tehtävään. Työn tuloksena valitaan sähkökäyttöiseen moottorikelkkaan soveltuva sähkömoottori- ja akkutyyppi.

Compliance of crane electrics with electrical safety standards and codes

Master’s thesis focuses on the questions of crane electrics compliance with electrical safety standards. Overview and short comparison of the world’s effective standards in the field is made in order to understand their demands. Basic concepts of a proper electrical circuit design are presented. Characteristics, construction and operation principles of overcurrent protective devices are studied in details. Electrics of the basic crane is designed according to the assumed customer’s demands, compliance with the requirements of the standards is checked. Solutions to achieve better compliance in some issues are proposed. Accent is made on the National Electrical Code (NEC) and standards by Underwriters Laboratories (UL) latests demands. Requirements of the International Electrotechnical Commission (IEC) are also taken into account.

Heating control of an electrical motor

Electrical motors on a ship attackable to different factors which decrease these lifetimes. One of the main external factors on a ship which usually is a reason of the motor failure is a moisture condensation which decreases the motor winding insulation and increase a probability of the short circuit. Therefore, the protection against moisture is necessary for ship electrical motors. The motor should be protected against moisture all time when it does not operate. The necessity of such protection requires a lot of energy consumption. This master’s thesis is focused on the creation of the electrical motor thermal model and on the different methods of the motor protection against moisture analysis with energy consumption point of view.

Centralized Motion Control of a Linear Tooth Belt Drive: Analysis of the Performance and Limitations

A centralized robust position control for an electrical driven tooth belt drive is designed in this doctoral thesis. Both a cascaded control structure and a PID based position controller are discussed. The performance and the limitations of the system are analyzed and design principles for the mechanical structure and the control design are given. These design principles are also suitable for most of the motion control applications, where mechanical resonance frequencies and control loop delays are present. One of the major challenges in the design of a controller for machinery applications is that the values of the parameters in the system model (parameter uncertainty) or the system model it self (non-parametric uncertainty) are seldom known accurately in advance. In this thesis a systematic analysis of the parameter uncertainty of the linear tooth beltdrive model is presented and the effect of the variation of a single parameter on the performance of the total system is shown. The total variation of the model parameters is taken into account in the control design phase using a Quantitative Feedback Theory (QFT). The thesis also introduces a new method to analyze reference feedforward controllers applying the QFT. The performance of the designed controllers is verified by experimentalmeasurements. The measurements confirm the control design principles that are given in this thesis.

Sähköautojen pikalatauksen verkkovaikutukset

Euroopan unionin energiapolitiikka on luonut paineen parantaa energiatehokkuutta kaikilla energiankäytön aloilla. Merkittävä osa energiasta kulutetaan liikenteessä, joten sähköautojen käyttöönotolla voidaan parantaa energiatehokkuutta merkittävästi. Tämän vuoksi on tarkasteltava sähköautojen laajamittaisen levinneisyyden aiheuttamia vaikutuksia sähköverkolle. Tässä diplomityössä tarkastellaan sähköautojen pikalatauksen verkkovaikutuksia. Tarkastelu painottuu kotilatauksen tarkasteluun taajamissa ja maaseudulla. Kuormituksen kasvu simuloidaan hyödyntäen sähköauton lataukselle laskettua kuormituskäyrää, jonka laskenta perustuu keskimääräiseen henkilöauton liikkumiseen, joka on saatavilla Suomen henkilöliikennetutkimuksesta. Simuloinnin tulosten perusteella sähköauton pikalatauksen verkkovaikutukset ovat merkittäviä keskijänniteverkossa ja pienjänniteverkossa. Suuremmat vaikutukset kohdistuvat pienjänniteverkkoon.

Analysis and Control of Excitation, Field Weakening and Stability in Direct Torque Controlled Electrically Excited Synchronous Motor Drives

Direct torque control (DTC) is a new control method for rotating field electrical machines. DTC controls directly the motor stator flux linkage with the stator voltage, and no stator current controllers are used. With the DTC method very good torque dynamics can be achieved. Until now, DTC has been applied to asynchronous motor drives. The purpose of this work is to analyse the applicability of DTC to electrically excited synchronous motor drives. Compared with asynchronous motor drives, electrically excited synchronous motor drives require an additional control for the rotor field current. The field current control is called excitation control in this study. The dependence of the static and dynamic performance of DTC synchronous motor drives on the excitation control has been analysed and a straightforward excitation control method has been developed and tested. In the field weakening range the stator flux linkage modulus must be reduced in order to keep the electro motive force of the synchronous motor smaller than the stator voltage and in order to maintain a sufficient voltage reserve. The dynamic performance of the DTC synchronous motor drive depends on the stator flux linkage modulus. Another important factor for the dynamic performance in the field weakening range is the excitation control. The field weakening analysis considers both dependencies. A modified excitation control method, which maximises the dynamic performance in the field weakening range, has been developed. In synchronous motor drives the load angle must be kept in a stabile working area in order to avoid loss of synchronism. The traditional vector control methods allow to adjust the load angle of the synchronous motor directly by the stator current control. In the DTC synchronous motor drive the load angle is not a directly controllable variable, but it is formed freely according to the motor’s electromagnetic state and load. The load angle can be limited indirectly by limiting the torque reference. This method is however parameter sensitive and requires a safety margin between the theoretical torque maximum and the actual torque limit. The DTC modulation principle allows however a direct load angle adjustment without any current control. In this work a direct load angle control method has been developed. The method keeps the drive stabile and allows the maximal utilisation of the drive without a safety margin in the torque limitation.

Energiavarastojen mitoitus laivasähköjärjestelmään

Jatkuvasti kiristyvät päästörajoitukset ajavat eri alojen energiatuottajia kehittämään uusia ratkaisuja päästöjen pienentämiseksi. Viime aikoina myös laivojen päästörajoituksia on tiukennettu ja tulevaisuudessa niitä tullaan tiukentamaan lisää. Nämä tiukentuvat päästörajoitukset asettavat myös laivan dieselmoottoreiden valmistajat uusien haasteiden eteen. Yhtenä vaihtoehtona on lisätä dieselmoottorin rinnalle energiavarasto, joka vähentää dieselmoottorin päästöjä varsinkin nopeissa kuormituksen muutoksissa. Tässä diplomityössä tarkastellaan sähköisten energiavarastojen mitoitusta laivan sähköjärjestelmään. Energiavarastot mitoitetaan useaan eri toimintatilanteeseen. Mitoituksen lisäksi pohditaan energiavarastoilla saatavaa mahdollista rahallista hyötyä sekä päästöjen vähenemistä.

Researching Manufacturing Planning and Control system and Master Scheduling in a manufacturing firm.

The objective of this thesis is to research Manufacturing Planning and Control (MPC) system and Master Scheduling (MS) in a manufacturing firm. The study is conducted at Ensto Finland Corporation, which operates on a field of electrical systems and supplies. The paper consists of theoretical and empirical parts. The empirical part is based on weekly operating at Ensto and includes inter-firm material analysis, learning and meetings. Master Scheduling is an important module of an MPC system, since it is beneficial on transforming strategic production plans based on demand forecasting into operational schedules. Furthermore, capacity planning tools can remarkably contribute to production planning: by Rough-Cut Capacity Planning (RCCP) tool, a MS plan can be critically analyzed in terms of available key resources in real manufacturing environment. Currently, there are remarkable inefficiencies when it comes to Ensto’s practices: the system is not able to take into consideration seasonal demand and react on market changes on time; This can cause significant lost sales. However, these inefficiencies could be eliminated through the appropriate utilization of MS and RCCP tools. To utilize MS and RCCP tools in Ensto’s production environment, further testing in real production environment is required. Moreover, data accuracy, appropriate commitment to adapting and learning the new tools, and continuous developing of functions closely related to MS, such as sales forecasting, need to be ensured.