Reduction of Greenhouse Gas Emissions in North-West Russia - Finnish Business Opportunities

Tutkimus suomalaisten yritysten liiketoimintamahdollisuuksista hiilidoksidipäästöjen vähentämisen parissa Luoteis-Venäjällä.

Welding time models for cost calculations in the early stages of the design process

It is generally accepted that between 70 and 80% of manufacturing costs can be attributed to design. Nevertheless, it is difficult for the designer to estimate manufacturing costs accurately, especially when alternative constructions are compared at the conceptual design phase, because of the lack of cost information and appropriate tools. In general, previous reports concerning optimisation of a welded structure have used the mass of the product as the basis for the cost comparison. However, it can easily be shown using a simple example that the use of product mass as the sole manufacturing cost estimator is unsatisfactory. This study describes a method of formulating welding time models for cost calculation, and presents the results of the models for particular sections, based on typical costs in Finland. This was achieved by collecting information concerning welded products from different companies. The data included 71 different welded assemblies taken from the mechanical engineering and construction industries. The welded assemblies contained in total 1 589 welded parts, 4 257 separate welds, and a total welded length of 3 188 metres. The data were modelled for statistical calculations, and models of welding time were derived by using linear regression analysis. Themodels were tested by using appropriate statistical methods, and were found to be accurate. General welding time models have been developed, valid for welding in Finland, as well as specific, more accurate models for particular companies. The models are presented in such a form that they can be used easily by a designer, enabling the cost calculation to be automated.

Propagation of the Ignition Front against Airflow in Packed Beds of Wood Particles

Combustion of wood is increasing because of the needs of decreasing the emissions of carbon dioxide and the amount of waste going to landfills. Wood based fuels are often scattered on a large area. The transport distances should be short enough to prevent too high costs, and so the size of heating and power plants using wood fuels is often rather small. Combustion technologies of small-size units have to be developed to reach efficient and environmentally friendly energy production. Furnaces that use different packed bed combustion or gasification techniques areoften most economic in small-scale energy production. Ignition front propagation rate affects the stability, heat release rate and emissions of packed bed combustion. Ignition front propagation against airflow in packed beds of wood fuels has been studied. The research has been carried out mainly experimentally. Theoretical aspects have been considered to draw conclusions about the experimental results. The effects of airflow rate, moisture content of the fuel, size, shape and density of particles, and porosity of the bed on the propagation rate of the ignition front have been studied. The experiments were carried out in a pot furnace. The fuels used in the experiments were mainly real wood fuels that are often burned in the production of energy. The fuel types were thin wood chips, saw dust, shavings, wood chips, and pellets with different sizes. Also a few mixturesof the above were tested. Increase in the moisture content of the fuel decreases the propagation rates of the ignition front and makes the range of possible airflow rates narrower because of the energy needed for the evaporation of water and the dilution of volatile gases due to evaporated steam. Increase in the airflow rate increases the ignition rate until a maximum rate of propagation is reached after which it decreases. The maximum flame propagation rate is not always reached in stoichiometric combustion conditions. Increase in particle size and density transfers the optimum airflow rate towards fuel lean conditions. Mixing of small and large particles is often advantageous, because small particles make itpossible to reach the maximum ignition rate in fuel rich conditions, and large particles widen the range of possible airflow rates. A correlation was found forthe maximum rate of ignition front propagation in different wood fuels. According to the correlation, the maximum ignition mass flux is increased when the sphericity of the particles and the porosity of the bed are increased and the moisture content of the fuel is decreased. Another fit was found between sphericity and porosity. Increase in sphericity decreases the porosity of the bed. The reasons of the observed results are discussed.

WCDMA HSPA performance counters for monitoring 3G-radio access network

The objective of this project was to gather all the counters which are used on HSPA performance monitoring. The main purpose was to create a compact packet of HSPA performance counters and radio network monitoring which Ericsson's employees can then use in their daily work. The study includes a short introduction to the architecture of the 3G-radio access network. The HSPA technology and HSPA performance are presented including a functional description of performance counters and KPIs, which are used for performance management and monitoring. The theory part of the study also covers an overview of performance management in OSS-RC. The final part of the study covers an overview of the performance management tools, in-troducing how the counters are represented in these interfaces. MOShell and OSS-RC are tools used in this study. Tools were selected because the MOShell is Ericsson's inter-nal management tool and OSS-RC is a tool designed for customers.

Nissanim - 1-25

Sisällys/Contents: 1. ¿Andersen: ham-Mal¿ak. Targum: ¿Abi¿asap. 2. ¿Andersen: Be-¿aharit-jam. 3. ¿Andersen: Tippat ham-majim. & ha-Hol. 4-5. Andersen: Perah qatan. 6. H. Lewe: Perah nipla¿. & Qeren hash-shemesh. 7-8. Maqs Nordo: Siah hash-shoshannim. Targum: Sh.L. Gordon. 9. P. ¿Awwirpuk: ¿Ateret haz-zahab. 10. ¿A. Terje: he-Halil han-nipla¿. Targum: P. ¿Awwirpuk. 11-15. Ma¿asijjot liladim. Targum: Shelomo Berman. 16. Mika Josep Berditshevsqi: Ma¿asijjot we-¿aggadot. 17-18. Herodot: Hekal ra¿meses. ¿al jede: ¿A-S. 19. J.V. Levner: hab-Kotel ham-ma¿arabi. 20. ¿A.L. Ja¿aqubovis: ¿Abraham hak-Kaspi. 21-22. Sha¿ul Tshernihovsqi: Shirim. 23-25. Jishaq J. Qassenelson. Shirim.

Sen wielä wirhellisen ilo-weisu kosca hän Jumalan siunauxen woimalla ja Läkärin konstin awulla parattin huulensa wirhestä

Turku : Thomas Ragwaldinpoika 1763

Dikter [2] andra häftet

Helsingfors : J. C. Frenckell & Son 1833

Qobes shirim u-ma¿marim Sbornik stihotvorenij i statej. T. II - 1

Kiev : J.Sh. Bohuslavsqi 1910

Kung Fjalar en dikt i fem sånger - [Frampärmen]

Helsingfors : G. W. Edlund 1895

Tarina suuresta tammesta y.m. runoja - [Kansi]

Porvoossa : Werner Söderström 1896

Dikter [1]

Helsingfors : G. O. Wasenius 1830

Ylimmäisen keisarin Jesuxen Christuxen mandati eli käsky Weisattawaxi tehty, sillä nuotilla: Autuas autta köyhä waiwaist etc. J.M.C.

Turku : Peder Wald 1643

Suru-runot suomalaiset ... Wuonna 1720

Turku 1734

Fänrik Ståls sägner

Helsingfors : G. W. Edlund 1883 : Stockholm, Central-tryckeriet