<p>The purpose of this study was to develop an analytical model that could be used by the designers of a rotary feeding and cutting system (RFCS) to identify the power demand of the RFCS with limited or no required field or laboratory data. Two separate RFCS were investigated, incorporated with either a low-speed cutting process (LSCP) or a high-speed cutting process (HSCP). The results from the laboratory and field trials were used to create and validate the analytical model.</p> <p>Laboratory tests were completed with the LSCP RFCS and these concluded that counter-knife sharpness, serrations and bevel angle all had significant effects on the specific energy required by the LSCP RFCS when processing cereal straw and alfalfa. The specific energy required by the LSCP RFCS, while processing cereal straw, increased by 0.35 kWâh/tonne (or 96%) when the sharpness of the counter-knives decreased from 0.13 to 0.63 mm (where the sharpness was recorded by the leading-edge-width of the counter-knives). With the same decrease in sharpness, the specific energy required by the LSCP RFCS while processing alfalfa increased by 0.04 kWâh/tonne (or 32%). The specific energy required by the LSCP RFCS while processing cereal straw with sharp counter-knives (counter-knives with a leading edge width of 0.13 mm) increased by 0.11 kWâh/tonne (or 51%) when serrated counter-knives were used instead of un-serrated counter-knives. However, counter-knife serrations did not have a significant effect on the specific energy demand of the LSCP RFCS when sharp counter-knives were used to process alfalfa. The increase in bevel angle from 15 to 90&#x00B0; caused the specific energy required to process cereal straw and alfalfa to approximately triple. The moisture content of alfalfa also had a significant effect on the specific energy required to process alfalfa with the LSCP RFCS. The specific energy demand of the LSCP RFCS was at a maximum when alfalfa at a moisture content of 53% on a wet basis (w.b.) was processed and decreased slightly (approximately 0.04 kWâh/tonne or 10%) when dryer and wetter alfalfa was processed.</p> <p>Field tests were completed with the HSCP RFCS and it was concluded that in general, there was a direct relationship between the specific energy required by the HSCP RFCS and the moisture content of the straw, counter-knife engagement and throughput. Further, it was also concluded that the specific energy requirements of the HSCP RFCS were more sensitive to counter-knife engagement when higher moisture content straw was processed. Depending on the type of chopper used, the specific energy required by the HSCP RFCS increased anywhere from 0.15 to 0.77 kWâh/tonne (or 22 to 61%) when the counter-knife engagement was increased from 0 to 100% (or fully removed to fully engaged). Again, depending on the type of chopper used, when the moisture content of the straw processed by the chopper increased from approximately 7 to 25% w.b. the specific energy required by the chopper increased by 0.14 to 0.96 kWâh/tonne (or 28 to 84%). The effect of throughput on the specific energy demand of the HSCP RFCS was dependent on the type of chopper used. For one of the choppers, an increase in throughput from 10.5 to 13.5 tonne/h caused the specific energy required by the HSCP RFCS to increase by 0.24 kWâh/tonne (or 35%); however for a different chopper, an increase in throughput from 12 to 13 tonne/h caused the specific energy demand of the HSCP RFCS to decrease by 0.16 kWâh/tonne (or 19%).</p> <p>The analytical model was validated using a subset of the data that were collected while employing each cutting device under field conditions and the data collected with the use of a custom-designed material properties test stand. The output of the analytical model fell within the 95% confidence interval of the measured power demand for each of the rotary feeding and cutting systems, and the analytical model was therefore deemed sufficiently accurate.</p> <p>Based on the analytical model, the total power demand of both the LSCP and HSCP rotary feeding and cutting systems was largely attributed to the power required to transport plant material. Further, the power required to transport the plant material along the sides of the counter-knives was much greater than the power required to transport the plant material along the rotor bed and along the leading edge of the tines. Because of the excessive power required to transport plant material along the sides of the counter-knives, three techniques were identified as potential strategies to decrease the power demand of the RFCS. The first technique involved removing half of the tines from the RFCS, and modifying the remaining tines to decrease the amount of plant material that is entrapped between sides of the counter-knives and the tines. The second technique involved coating the inside surface of the tines with a baked Teflon, to decrease the coefficient of friction between the plant material and the RFCS. The third technique involved reshaping the counter-knives, to decrease the surface area over which plant material was transported along the side of the counter-knives. According to the analytical model, employing any of the three techniques would result in the total power demand of the RFCS to decrease by 15 to 26%. </p> <p>For the HSCP RFCS, a stochastic model was developed to identify which of the four choppers tested during field trials would have the best performance when subjected to the same operating conditions. The chopper with the best performance was the WR chopper as its use resulted in the minimum geometric mean length of material exiting the combine harvester while also consuming the least amount of specific energy.</p>

No description available.

No description available.

No description available.

The research described in this thesis examines how the hydrologic cycle is affected by climate changes in the Mackenzie River Basin (MRB) in northern Canada. The study focuses on five hydro-meteorological variables; runoff, evapotranspiration, storage, temperature and precipitation. Two different climate input data sets were used: Environment Canada gridded observed data and the European Center for Medium range Weather Forecasting (ECMWF) Re-Analysis climate data (ERA-40). In both data sets, runoff and evapotranspiration were modelled using the WATFLOOD hydrological model for the period of 1961 to 2002 on a 20 by 20 km grid. Trends were assessed on a monthly and annual basis using the Mann-Kendall non-parametric trend test. The hydrologic cycle in the MRB appears to be strongly influenced by climate change. The results reveal a general pattern of warming temperatures, and increasing precipitation and evapotranspiration. Overall decreases in runoff and in storage were detected from the Environment Canada data set while increases in runoff and in storage were detected from the ECMWF data set. The trends in runoff and evapotranspiration reflected changes in both precipitation and temperature. The spatial pattern of changes in runoff followed the pattern of change in precipitation very closely in most of the months, with the exception of March and October. The effect of changes in temperature is much more noticeable than that of changes in precipitation in March and October. The change in spatial distribution of evapotranspiration, on the other hand, matched the pattern of changes in temperature better; yet its seasonal pattern follows more closely to that of precipitation. The sensitivity of annual runoff to changes in climate was also estimated using a nonparametric estimator. Among the most important findings are: 1) runoff was more sensitive to precipitation and less sensitive to temperature; 2) runoff was positively correlated with precipitation and evapotranspiration; 3) runoff was negatively correlated with temperature, implying any increase in melt runoff from glaciers caused by increases in temperature were offset by losses due to evapotranspiration within the basin; 4) soil moisture storage may play an important role in the runoff and evapotranspiration processes; and 5) the sensitivity of mean annual runoff to changes in precipitation and evapotranspiration is typically lower along the Rocky Mountain chain, higher in the central zone of the Interior Plain, and highly varied in the Canadian Shield region in the basin. Correlation analysis suggested that the agreement between the two data sets is very weak at the grid-cell level. However, there was broad degree of consistencies in the seasonal and spatial patterns of trends between the two data sets, suggesting that the data are more reliable for identifying hydrological changes on a regional scale than at grid-cell level.

Three methods of sensitivity and unceartainty analysis have been applied to the operative stormwater- and recipient model StormTac. The study area is the watershed of lake Flaten in the municipality Salem. StormTac’s submodels for stormwater, pollutant transport and the recipient are cosidired. In the sensitivity assessment, the model parametres and inputs were varied one at a time by a constant percentage according to the “one at a time” (OAAT) method and the response of the outputs were calculated. It was found that the stormwater- and baseflow were most sensitive to perturbations in the perciptation. Unceartainty analysis using Monte Carlo simulation was performed in two different ways. (1) All model parametres and inputs were included with defined unceartainties and the resulting unceartainty for the target variable was quantified. Thereafter, whith the purpose to estimate the contribution of all the parametres and inputs, the cumulative uncertainty for the target variable, each parameters/inputs unceartainty was omitted one at the time. The most crucial uncertainty for the storm water flow was the runoff coefficient for forestland and the perciptation (i.e the differens between the 90- and 10-percentile for the storm water flow was reduced whith 44 % and 33 % respectively). (2) To identify optimal parameter intervals, the probability for an acceptable value of the target variable was plotted against each parameters value range. The result suggests that for some of the parametres i StormTac, the ranges should be changed. / Den operativa dagvatten- och recipientmodellen StormTac har applicerats på sjön Flatens avrinningsområde i Salems kommun. StormTac:s delmodeller för dagvatten, föroreningstransport och recipienten studerades. Tre olika metoder för att undersöka osäkerheten och känsligheten hos parametrar och indata i delmodellerna tillämpades. I känslighetsanalysen (OAAT-metoden) behäftades parametervärdena och indata med systematiska fel och responsen hos utdata beräknades. Dag- och basvattenflödet var känsligast mot fel i nederbördsdata, medan kväve-, fosfor- och kopparbelastningen till recipienten var känsligast mot respektive förorenings dagvattenkoncentration från områden med bebyggelse. Varje parameter och indatas bidrag till den kumulativa osäkerheten hos utdata uppskattades med hjälp av Montecarlosimulering. Genom att för varje effektvariabel studera differensen mellan 90- och 10-percentilen när osäkerheten hos en parameter/indata i taget utelämnades, kunde varje parameters/indatas bidrag till modellresultatets osäkerhet kvantifieras. För dagvattenflödet bidrog avrinningskoefficienten för skogmark med 44 % av osäkerheten och nederbörden med 33 %. Montecarloanlys praktiserades även för att identifiera optimala intervall för parametrarna i modellen. Sannolikheten för ett accepterat värde på den simulerade effektvariabeln plottades mot varje parameters värdemängd. För vissa parametrar indikerade resultatet att intervallen kan förändras mot hur de i nuläget ser ut i StormTac. Uniforma sannolikhetsfördelningar, begränsade av StormTac:s min- och maxvärden för parametrarna och ± 50% av orginalvärdet för indata, användes i båda osäkerhetsanalyserna.

The stability of railway embankment is essential for safe transport. In order to ensure safe transport, water should be allowed to freely drain. Furthermore, as the engine driver has to be able to see signs, and people working on the embankment are supposed to easily see flaws on the rails to ensure safety for the passing trains, plants should not be allowed to grow on the embankment. In Sweden there are 12 000 kilometers of railway tracks and 25–30 % of them are treated for weed control every year. The Swedish Transport Administration is currently using the pesticide “Roundup Bio” to remove weeds on the embankment. To prevent the dispersal of chemicals to sensitive ecosystems, chemical transport has to be investigated carefully. In this master thesis a transport model for the transport of pesticides has been simulated using the software “GoldSim”. The model have been developed, optimized and controlled by a sensitivity analysis. In addition to this an analysis of worst case scenarios has been tested. The pesticides “Arsenal 250” with the active substance imazapyr and “Roundup Bio” with the active substance glyphosate have been used in the calibrating of the model. The transport model for imazapyr shows a good estimation of the mass of herbicides in the embankment compared to measurements. There is also a good estimation in the groundwater even if the concentration at the beginning of the simulation period is underestimated. The simulation with glyphosate, on the on the other hand, showed very small quantities of both glyphosate and its degradation product AMPA (aminometylphosphateacid) in both the embankment and in the groundwater. The sensitivity test showed that the parameter half-life and Kd-value (adsorption capacity) were the most sensitive parameters in the model. When it comes to the concentration in the groundwater the distance to the groundwater level was the most sensitive parameter, as well as the Kd-value in the embankment, the half-life and the precipitation. As expected, the worst-case analysis showed that a small distance to the groundwater level, a low Kd-value and a short half-life produced even larger concentrations of herbicides in the groundwater. In conclusion it should be mentioned that the stimulation model generally works well in regards to with imazapyr. For stimulation of glyphosate and its metabolite AMPA more work with the model is required for the Swedish Transport Administration to apply it in the future.

Modelling combustion engines is an important tool in engine research. Development and modelling of ionization current has potential in developing virtual pressure sensors based on ionization measurements. Previous models has problem when predicting the true relationshipbetween the pressure peak location and ionization peak location, and both too early and too late predictions has been observed. An explanation for these discrepancies are provided and a model where the experimental mismatch has been reduced to less than one CAD is also presented. This is well within the measurement uncertainty.

This masters thesis concerns a modeling project performed at Volvo Technology in Gothenburg, Sweden. The main purpose of the project has been to develop a physical model of the climate in construction vehicles that later on can be used in the development of an electronic climate controller. The focus of the work has been on one type of wheel loader and one type of excavator. The temperature inside the compartment has been set equal to the notion climate. With physical theories about air flow and heat transfer in respect, relations between the components in the climate unit and the compartment has been calculated. Parameters that has had unknown values has been estimated. The relations have then been implemented in the modeling tool Simulink. The validation of the model has been carried out by comparison between measured data and modeled values by calculation of Root Mean Square and correlation. Varying the estimated parameters and identifying the change in the output signal, i.e the temperature of the compartment, have performed a sensitivity analysis. The result of the validation has shown that the factor with the greatest influence on the temperature in the vehicle is the airflow through the climate unit and the outlets. Minor changes of airflow have resulted in major changes in temperature. The validation principally shows that the model gives a good estimation of the temperature in the compartment. The static values of the model differs from the values of the measured data but is regarded being as within an acceptable margin of error. The weakness of the model is mainly its predictions of the dynamics, which does not correlate satisfyingly with the data.

<p>The purpose of this study was to develop an analytical model that could be used by the designers of a rotary feeding and cutting system (RFCS) to identify the power demand of the RFCS with limited or no required field or laboratory data. Two separate RFCS were investigated, incorporated with either a low-speed cutting process (LSCP) or a high-speed cutting process (HSCP). The results from the laboratory and field trials were used to create and validate the analytical model.</p> <p>Laboratory tests were completed with the LSCP RFCS and these concluded that counter-knife sharpness, serrations and bevel angle all had significant effects on the specific energy required by the LSCP RFCS when processing cereal straw and alfalfa. The specific energy required by the LSCP RFCS, while processing cereal straw, increased by 0.35 kWâh/tonne (or 96%) when the sharpness of the counter-knives decreased from 0.13 to 0.63 mm (where the sharpness was recorded by the leading-edge-width of the counter-knives). With the same decrease in sharpness, the specific energy required by the LSCP RFCS while processing alfalfa increased by 0.04 kWâh/tonne (or 32%). The specific energy required by the LSCP RFCS while processing cereal straw with sharp counter-knives (counter-knives with a leading edge width of 0.13 mm) increased by 0.11 kWâh/tonne (or 51%) when serrated counter-knives were used instead of un-serrated counter-knives. However, counter-knife serrations did not have a significant effect on the specific energy demand of the LSCP RFCS when sharp counter-knives were used to process alfalfa. The increase in bevel angle from 15 to 90&#x00B0; caused the specific energy required to process cereal straw and alfalfa to approximately triple. The moisture content of alfalfa also had a significant effect on the specific energy required to process alfalfa with the LSCP RFCS. The specific energy demand of the LSCP RFCS was at a maximum when alfalfa at a moisture content of 53% on a wet basis (w.b.) was processed and decreased slightly (approximately 0.04 kWâh/tonne or 10%) when dryer and wetter alfalfa was processed.</p> <p>Field tests were completed with the HSCP RFCS and it was concluded that in general, there was a direct relationship between the specific energy required by the HSCP RFCS and the moisture content of the straw, counter-knife engagement and throughput. Further, it was also concluded that the specific energy requirements of the HSCP RFCS were more sensitive to counter-knife engagement when higher moisture content straw was processed. Depending on the type of chopper used, the specific energy required by the HSCP RFCS increased anywhere from 0.15 to 0.77 kWâh/tonne (or 22 to 61%) when the counter-knife engagement was increased from 0 to 100% (or fully removed to fully engaged). Again, depending on the type of chopper used, when the moisture content of the straw processed by the chopper increased from approximately 7 to 25% w.b. the specific energy required by the chopper increased by 0.14 to 0.96 kWâh/tonne (or 28 to 84%). The effect of throughput on the specific energy demand of the HSCP RFCS was dependent on the type of chopper used. For one of the choppers, an increase in throughput from 10.5 to 13.5 tonne/h caused the specific energy required by the HSCP RFCS to increase by 0.24 kWâh/tonne (or 35%); however for a different chopper, an increase in throughput from 12 to 13 tonne/h caused the specific energy demand of the HSCP RFCS to decrease by 0.16 kWâh/tonne (or 19%).</p> <p>The analytical model was validated using a subset of the data that were collected while employing each cutting device under field conditions and the data collected with the use of a custom-designed material properties test stand. The output of the analytical model fell within the 95% confidence interval of the measured power demand for each of the rotary feeding and cutting systems, and the analytical model was therefore deemed sufficiently accurate.</p> <p>Based on the analytical model, the total power demand of both the LSCP and HSCP rotary feeding and cutting systems was largely attributed to the power required to transport plant material. Further, the power required to transport the plant material along the sides of the counter-knives was much greater than the power required to transport the plant material along the rotor bed and along the leading edge of the tines. Because of the excessive power required to transport plant material along the sides of the counter-knives, three techniques were identified as potential strategies to decrease the power demand of the RFCS. The first technique involved removing half of the tines from the RFCS, and modifying the remaining tines to decrease the amount of plant material that is entrapped between sides of the counter-knives and the tines. The second technique involved coating the inside surface of the tines with a baked Teflon, to decrease the coefficient of friction between the plant material and the RFCS. The third technique involved reshaping the counter-knives, to decrease the surface area over which plant material was transported along the side of the counter-knives. According to the analytical model, employing any of the three techniques would result in the total power demand of the RFCS to decrease by 15 to 26%. </p> <p>For the HSCP RFCS, a stochastic model was developed to identify which of the four choppers tested during field trials would have the best performance when subjected to the same operating conditions. The chopper with the best performance was the WR chopper as its use resulted in the minimum geometric mean length of material exiting the combine harvester while also consuming the least amount of specific energy.</p>