This research examined the relationship between manufacturing input parameters and factory performance in a cellular manufacturing environment.

This Master’s thesis process list of different finite element programs, which allows us to simulate process of material separation. We estimated their advantages and disadvantages in the end. In program ANSYS Ls-Dyna was created 3D model, in which we simulate process of orthogonal splinter machining and we study dependence of changes different input parameters (tool geometry, depth of cut, cutting speed) on the chip form and forces rate between tool and workpiece.

Buildings can play an essential role in the transition to a sustainable society. Different strategies, including improved energy efficiency in buildings, substitution of carbon intensive materials and fuels, efficient energy supply among others can be employed for this purpose. In this thesis, the implications of different insulation materials, modelling and design strategies on primary energy use of residential buildings are studied using life cycle and system perspective. Specifically, the effects of different insulation materials on production primary energy and CO2 emission of buildings with different energy performance are analysed. The results show that application of extra insulation materials to building envelope components reduces the operating primary energy use but more primary energy is required for the insulation material production. This also slightly increases the CO2 emissions from material production. The increases in primary energy use and CO2 emissions are mainly due to the variations in the quantities, types and manufacturing processes of the insulation materials. Thus, choice of renewable based materials with energy efficient manufacturing is important to reduce primary energy use and GHG emissions for building material production. Uncertainties related to building modelling input parameters and assumptions and how they influence energy balance calculations of residential buildings are explored. The implications on energy savings of different energy efficiency measures are also studied. The results show that input data and assumptions used for energy balance simulations of buildings vary widely in the Swedish context giving significant differences in calculated energy demand for buildings. Among the considered parameters, indoor air temperature, internal heat gains and efficiency of ventilation heat recovery (VHR) have significant impacts on the simulated building energy performance as well as on the energy efficiency measures. The impact of parameter interactions on calculated space heating of buildings is rather small but increases with more parameter combinations and more energy efficient buildings. Detailed energy characterisation of household equipment and technical installations used in a building is essential to accurately calculate the energy demand, particularly for a low energy building. The design and construction of new buildings present many possibilities to minimise both heating and cooling demands over the lifecycle of buildings, and also in the context of climate change. Various design strategies and measures are analysed for buildings with different energy performance under different climate scenarios. These include household equipment and technical installations based on best available technology, bypassing the VHR unit, solar shading of windows, combinations of window u- and g-values, different proportions of glazed window areas and façade orientations and mechanical cooling. The results show that space heating and cooling demands vary significantly with the energy performance of buildings as well as climate scenarios. Space heating demand decreases while space cooling demand and the risk of overheating increase considerably with warmer climate. The space cooling demand and overheating risk are more significant for buildings with higher energy performance. Significant reductions are achieved in the operation final energy demands and overheating is avoided or greatly reduced when different design strategies and measures are implemented cumulatively under different climate change scenarios. The primary energy efficiency of heat supply systems depends on the heat production technology and type of fuel use. Analysis of the interaction between different design strategies and heat supply options shows that the combination of design strategies giving the lowest primary energy use for space heating and cooling varies between heat supply from district heating with combined heat and power (CHP) and heat only boilers (HOB). The primary energy use for space heating is significantly lower when the heat supply is from CHP rather than HOB. Operation primary energy use is significantly reduced with slight increase in production primary energy when the design strategies are implemented. The results suggest that significant primary energy reductions are achievable under climate change, if new buildings are designed with appropriate strategies.

Severe flooding events in recent years have underlined the importance of accurate hydrological modelling in urban areas. There are many important parameters relating to both the rainfall distribution and properties of the land on which the rain falls that controls the impacts of the rain event. While the importance of input parameters such as initial water content, topography and extent of hardened surfaces is widely known, their impact on hydrological response in urban areas is not thoroughly understood. In 2017, scientists from the Swedish Meteorological and Hydrological Institute, SMHI, presented five empirical hyetographs based on long-term Swedish municipal rain data (Olsson, et al., 2017). The hyetographs vary in location of peak and distribution of intensity. Olsson (2019) evaluated the hydrological response in terms of water depth of the hyetographs in relation to Chicago Design Storm (CDS), a common design storm used in Swedish hydrological modelling, and found that CDS nearly always overestimates the hydrological response in comparison to the empirical hyetographs, meaning historical rainfall intensity distributions, developed by SMHI.  The aim of this thesis is to analyse the robustness of empirical hyetographs by conducting a sensitivity analysis of a generic urban model with a variation of input parameters. A statistical analysis of data on hardened surfaces, topography and initial water content was conducted to find the median, 5th and 95th percentile respectively of the range of values in Swedish conditions. These values were applied to a synthetic urban model and run together with the five empirical hyetographs and CDS in MIKE 21. The results indicate that the empirical hyetographs are not very robust relating to variations in infiltration capacity (initial water content and amount of hardened areas), while they are more robust when varying the topography. The variation of topography also resulted in large variations in water depth, time to peak and extent of flooded area, while variation of initial water content and amount of hardened surfaces had smaller, although still clear, effects. Furthermore, the results show that hyetographs with a late peak are more sensitive to variations in initial water content and hardened surfaces than hyetographs with an early peak. On average, CDS estimates the response in comparison to the empirical hyetographs accurately, with an average overestimation of 0.5%, but does not capture the range and complexity of the empirical hyetographs. Including the frequency of the different hyetographs, CDS gave an overestimation of 5% compared to the empirical hyetographs. The highlight the uncertainty in using CDS as input for urban cloudburst modelling, but limitations in form of catchment properties in a study area and the importance of the input values limits the generability of the study. / De senaste årens allvarliga översvämningshändelser har understrukit vikten av noggrann hydrologisk modellering i stadsområden. Även om betydelsen av parametrar som initial vattenmättnad, topografi och andelen hårdgjorda ytor är allmänt känd, är deras inverkan på urban hydrodynamisk modellering inte helt klarlagd. Under 2017 presenterade forskare från Sveriges Meteorologiska och Hydrologiska Institut, SMHI, fem empiriska hyetografer baserade på långvariga kommunala regndata (Olsson et al., 2017). Hyetograferna varierar i fördelning av intensitet och tidsmässig placering av maxintensitet. Olsson (2019) utvärderade hyetografernas hydrologiska respons i relation till Chicago Design Storm (CDS), en vanlig designstorm som används i svensk hydrologisk modellering, och fann att CDS nästan alltid överskattar responsen i jämförelse med de empiriska hyetograferna.  Syftet med detta examensarbete är att analysera robustheten hos de empiriska hyetograferna genom att utföra en känslighetsanalys av en generisk stadsmodell med en variation av ingångsparametrar. En statistisk analys av data om hårdgjorda ytor, topografi och initial vattenmättnad genomfördes för att hitta median, 5:e respektive 95:e percentilen av värdena i svenska förhållanden. Dessa värden applicerades på en generisk stadsmodell och kördes tillsammans med de fem empiriska hyetograferna och CDS i MIKE 21. Resultaten indikerar att de empiriska hyetograferna inte är helt robusta vad gäller variationer i infiltrationskapacitet (initial vattenmättnad och andel hårdgjorda ytor), medan de är mer robusta vid variation av topografin. Variationen av topografi resulterade också i stora variationer i vattendjup, tid till maxflöde och utbredning av översvämmat område, medan variation av initial vattenmättnad och mängden hårdgjorda ytor hade mindre, men fortfarande tydliga, effekter. Vidare visar resultaten att hyetografer med sen topp är känsligare för variationer i initial vattenhalt och hårdgjorda ytor än hyetografer med tidig topp. I genomsnitt uppskattar CDS responsen från de empiriska hyetograferna korrekt, med en genomsnittlig överskattning på 0.5%, men fångar inte omfånget och komplexiteten hos de empiriska hyetograferna. Inräknat frekvensen av de olika hyetograferna gav CDS en överskattning på 5 % jämfört med de empiriska hyetograferna. Resultaten belyser osäkerheterna i att använda CDS regn som drivdata i skyfallsmodelleringar för stadsplanering, men begränsningar i form av markegenskaper i ett enskilt studieområde och vikten av modellens initialvärden begränsar dock generaliteten för studien.