No description available.

The aim of this study was to work out whether bloomery activities might have left a geochemical imprint in two mires close to a known bloomery and identify differences between the geochemical signals in the mires. Therefore two peat profiles (140 cm deep) and a series of bulk samples (composite of 10-60 cm) were taken near the remains of a bloomery close to Ängersjö, Hälsingland, which has one documented radiocarbon date of AD 1300-1435. One profile was taken in the fen closest to the bloomery, the other profile was taken close to a nearby lake. Geochemical analysis of the peat samples was performed with X-ray fluorescence spectroscopy (XRF). The results were combined with previously taken data from a sediment profile from the lake ~120 m away and a pollen profile close to the bloomery. The results showed that the activities of the bloomery were visible in the geochemical signals of the peat core closest to the bloomery with two peaks in Pb and Zn, which coincide with the previous reported times of operation (1. AD 1030-1060; 2. AD 1300-1435), which also fits with the pollen record from the nearby peat record. The mire close to the lake, which is hydrologically not connected with the area where the bloomery was, did not show these increases in elements associated with iron processing and only a small peak of Pb was visible. Furthermore, the geochemistry of the bulk samples showed that a disturbance of the mire surrounding the lake was responsible for the geochemical changes observed in the lake,particularly as a source of increases in inferred biogenic Si observed in the sediment record (as increased Si/Al ratios) in association with human-related disturbance in the sediment record during AD 800-1200. Si concentrations in the bulk peat samples in the fen adjoining the lake range as high as 14% (≤23% as SiO2).

One of the most significant challenges in the composite development field is to find a low-cost manufacturing route capable of producing large volumes of material. This thesis develops and characterises a potential avenue for addressing this, an induction furnace-based process. This process produced a composite of A357 matrix and 10% wt Dramix 3D 80/30 SL steel fibres. The method was evaluated by microstructural analysis and optimum casting parameters were approximated. The fibres were introduced to liquid A357 at 700°C and the composite was brought to a measured temperature of 650°C over not more than 120 seconds before being removed from the furnace and cooled. 10% wt was the ideal reinforcement ratio for this process. Characterising the tensile and compressive strength of the composite material, it reached a peak stress 130% higher than A357 produced under the same conditions, though the peak stresses were still 20% of the literature values for T6 tempered A357. This suggests the need for development of a temper which does not degrade the properties of the composite. 3-point bending tests and some tensile specimens also showed post-failure strength. Under dynamic loading, the composite showed a peak stress in excess of 100 MPa without reaching maximum compression under SHPB loading, and comparable performance to SiC-reinforced MMCs under ballistic testing. The linear decrease in work-hardening with increasing distance from the impact site shows shock and pressure-pulse dissipation properties, attributed to the difference in acoustic impedance between the matrix and the reinforcement.

<p>The aim of this thesis is to develop the knowledge about nonlinear and/or adaptive solid fuel boiler control at Vattenfall Utveckling AB. The aim is also to make a study of implemented and published control strategies.</p><p>A solid fuel boiler is a large-scale heat (and power) generating plant. The Idbäcken boiler studied in this work, is a one hundred MW furnace mainly fired with wood chips. The control system consists of several linear PID controllers working together, and the furnace is a nonlinear system. That, and the fact that the fuel-flow is not monitored, are the main reasons for the control problems. The system fluctuates periodically and the CO outlets sometimes rise high above the permitted level.</p><p>There is little work done in the area of advanced boiler control, but some interesting approaches are described in scientific articles. MPC (Model Predictive Control), nonlinear system identification using ANN (Artificial Neural Network), fuzzy logic, Hµ loop shaping and MIMO (Multiple Input Multiple Output) PID tuning methods have been tested with good results.</p><p>Both linear and nonlinear system identification is performed in the thesis. The linear models are able to explain about forty percent of the system behavior and the nonlinear models explain about sixty to eighty percent. The main result is that nonlinear models improve the performance and that there are considerable disturbances complicating the identification. Another identification issue was the feedback during the data collection.</p>

Thesis (M.A.)--Kutztown State College. / Source: Masters Abstracts International, Volume: 45-06, page: 2994. Typescript. Includes bibliographical references (leaves 92-94).

Radiocarbon datings in a previous study suggested that Moshyttan in Nora bergslag is the oldest blast furnace in Sweden and Europe. The aim of this study was specifically to study the origin of the Moshyttan blast furnace to answer the question: when was the blast furnace at Moshyttan established? To this end, a 2.5 m sediment record was collected from Fickeln, a lake 600 m downstream of Moshyttan, in March 2012. The geochemical properties of the sediment record were analyzed for major and trace elements using XRF. The organic content was calculated from the ash residue following the mercury analyses as a proxy for organic matter. Pollen and charcoal were analyzed using a standardized method. A age- depth model was created based on four radiocarbon datings of the sediment profile. The pollen data suggest that early land use consisted of forest grazing from about AD 220, and agriculture from about AD 880. An increase in Pb and charcoal particles about AD 880 indicates early metallurgy in the area. The first significant evidence of the establishment of a blastfurnace was between AD 1020 and AD 1090 marked by a decrease in organic content combined with a strong increase of ore related metals such as Pb, Zn, Cu and a strong increase of charcoal particles. Within the uncertainty of the age-depth modeling, the results from this study offers support to Wetterholms radiocarbon datings, thus making Moshyttan the oldest known blast furnace in Sweden and Europe.

The aim of this thesis is to develop the knowledge about nonlinear and/or adaptive solid fuel boiler control at Vattenfall Utveckling AB. The aim is also to make a study of implemented and published control strategies. A solid fuel boiler is a large-scale heat (and power) generating plant. The Idbäcken boiler studied in this work, is a one hundred MW furnace mainly fired with wood chips. The control system consists of several linear PID controllers working together, and the furnace is a nonlinear system. That, and the fact that the fuel-flow is not monitored, are the main reasons for the control problems. The system fluctuates periodically and the CO outlets sometimes rise high above the permitted level. There is little work done in the area of advanced boiler control, but some interesting approaches are described in scientific articles. MPC (Model Predictive Control), nonlinear system identification using ANN (Artificial Neural Network), fuzzy logic, Hµ loop shaping and MIMO (Multiple Input Multiple Output) PID tuning methods have been tested with good results. Both linear and nonlinear system identification is performed in the thesis. The linear models are able to explain about forty percent of the system behavior and the nonlinear models explain about sixty to eighty percent. The main result is that nonlinear models improve the performance and that there are considerable disturbances complicating the identification. Another identification issue was the feedback during the data collection.

Steel is the mother of industry, and is also an energy consumption intensive industry. Since the energy crisis, the various countries iron and steel plants positively take each energy frugal measure in order to reduce the fuel and the electric power consumption. In the iron and steel plant comparatively consumes the energy the system regulation equipment is the reheating furnace, so to save energy in a reheating furnace and reduce the energy consumption become one of important topics. The reduction consumes energy the countermeasure aspect may by analyze the heat transfer model and the change reheating furnace characteristic begins. In this thesis, we will build a simulation system of reheating furnace to analysis the temperature change of slab in a reheating furnace and discussion energy consumption factor. And then we use the thermal balance model to analysis the situation of fuel consumption. According to different conditions, we want to discuss the relationships energy consumption and increasing temperature of slab inside furnace.

Nowadays, many industries are searching new and effective substitutes for traditional energy resources. Heavy industries are not excluded. In order to use the most of the limited resources, they look for new techniques and new energy management systems which are efficient in energy consumption. Studying in saving energy for reheating furnace and in approving operation conditions may help heavy industries to reduce costs and to enhance quality of products. ¡@¡@Inevitably, the inner compositions of alloy ingots are not uniform during continuous casting. To solve this problem, we usually do heat treatment on alloy ingots before casting. Besides, to ensure the quality and stability of alloy ingots in heat treatment, we need an effective tool to monitor the temperature distribution on ally ingots. Moreover, the precise control over energy consumption can improve the efficiency of reheating furnace and can reduce costs. ¡@¡@This study focuses on alloy ingots. We simulate heat transfer by numerical methods and construct the integrated software to simulate the characteristics of reheating furnace in batch type operation. Analyses in the temperature distribution and energy consumption of alloy ingots in reheating process are also included. Besides, we choose some parameters, which might affect the energy consumption and try to find the best level parameter composition in reheating furnace analysis by Taguchi method. Some results are shown below: ¡]1¡^When temperature rising process starts, our model provides ¡@ ¡@reasonable and exact prediction in one or two hours. ¡]2¡^Reheating furnace treatment ability is the most important ¡@ ¡@control factor (out of eight) in this study. ¡]3¡^We can reduce around 3% of the consumption with the ¡@ ¡@parameters obtained by Taguchi method. ¡]4¡^The soaking degrees are all below 0.01¢J after heat treatment ¡@ ¡@on alloy ingots. ¡]5¡^We change the temperature rising rate to simulate the situation ¡@ ¡@of heated alloy ingots. We find that the higher temperature ¡@ ¡@rising rate is, the more significant temperature difference ¡@ ¡@inside alloy ingots is. On the other hand, the lower rate would ¡@ ¡@increase the soaking degree.

Abstract Steel is the mother of industry, and is also an energy consumption intensive industry. Especially for the rolling mill, the energy consumption in a reheating furnace take a half, so to save energy in a reheating furnace and reduce the energy consumption become the major issue in the future. The reheating furnace used in general process of steel producing can divided into two types-Continuous type and Batch type- through its ability of steel rolling¡Napproach and its demand. In this thesis, our research target is the batch type reheating furnace, we based on theory of heat transfer in a reheating furnace to build a simulation system of reheating furnace and calculate the temperature-time curve of slab and its heat flux. And then we use the thermal balance model to analysis the situation of fuel consumption. According to different operated conditions, we want to discuss the relationships between energy consumption and increasing temperature of slab inside furnace¡Nsoaking degree¡C From analysis result, we can find that fixed the total time in furnace, the longer of heating time is, the lower of average temperature of slab and the higher of temperature difference of discharge slab are. But in the process of increasing temperature, the max temperature difference of slab is lower. Using the exhaust gas to preheat air through the heat exchanger, we can find that when the temperature of preheated air is increasing, the heat loss of exhaust gas and fuel consumption will be lower. When air-fuel ratio is getting higher, the temperature difference in the process of increasing temperature will be getting lower, and it will be higher as the slab soaks. When air-fuel ratio is increasing, the quantity of fuel consumption will increase too. In respect of refractory material, heat loss of furnace and accumulation of heat in refractory material caused by using the refractory cottons is less than using the refractory bricks. Besides that, the different fuel will only affect the quantity of fuel consumption, not increasing temperature of slab and soaking degree.