| 1. |
- Hultqvist, Tobias
(author)
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Elastohydrodynamically lubricated finite line contacts operating under transient conditions
- 2018
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Licentiate thesis (other academic/artistic)abstract
- The effect of greenhouse gas emissions contributing to the global warming is today becoming an increasingly important problem worldwide and has led to increased efforts being made on improving tribological performance of interacting surfaces in mechanical systems. Due to increasingly stringent CO2regulations, a reduced fuel consumption has become a key area of interest for the automotive industry where low cost, low emission solutions are continuously developed and where low friction alternatives to machine elements currently in use are evaluated.Crankshaft roller bearings have been shown to reduce the mechanical friction in internal combustion engines compared to the plain (sliding) bearings used today, further leading to a reduced fuel consumption and thereby reduced CO2emissions. However, the transition from plain (sliding) bearings into crankshaft roller bearings means new challenges with e.g. increased noise, vibration and harshness (NVH) levels and reduced durability of the bearings. Therefore, in order to optimise the crankshaft roller bearings that operate under the highly transient conditions in the engine, an increased understanding of the tribological system is required.Research related to elastohydrodynamic lubrication (EHL) has led to the possibility to improve friction performance and durability of machine elements where lubricated non-conformal contact geometries interact. Traditionally, simplifications of the contacting geometries and the assumption of steady-state conditions have often been applied to the EHL analysis. The purpose of this work has thus been to develop a simulation model based on previous work done in the field and further utilise the model to simulate the contact on a detailed level, incorporating transient effects and the influence of oil behaviour using state-of-the-art modelling.The influence of the piezoviscous response and the compressibility-pressure behaviour of the lubricant on the sub-surface stress field were studied, showing that stiff lubricants may lead to increased stress concentrations in the vicinity of the surface, which may further influence the durability of the bearing. It was also seen that highly transient loading conditions applied to the contact initiate oscillations in the lubricated system, affecting pressure, film thickness and sub-surface stresses over time. These findings further elucidate the importance of including non-steady behaviour while analysing highly transient lubricating conditions of EHL contacts. By considering and optimising the aforementioned effects during design of crankshaft roller bearings, an improved NVH performance and an increased durability of the crankshaft roller bearing may be achieved.
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| 2. |
- Schewe, Jacob, et al.
(author)
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State-of-the-art global models underestimate impacts from climate extremes
- 2019
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10
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Journal article (peer-reviewed)abstract
- Global impact models represent process-level understanding of how natural and human systems may be affected by climate change. Their projections are used in integrated assessments of climate change. Here we test, for the first time, systematically across many important systems, how well such impact models capture the impacts of extreme climate conditions. Using the 2003 European heat wave and drought as a historical analogue for comparable events in the future, we find that a majority of models underestimate the extremeness of impacts in important sectors such as agriculture, terrestrial ecosystems, and heat-related human mortality, while impacts on water resources and hydropower are overestimated in some river basins; and the spread across models is often large. This has important implications for economic assessments of climate change impacts that rely on these models. It also means that societal risks from future extreme events may be greater than previously thought.
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| 3. |
- Wartenburger, Richard, et al.
(author)
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Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets
- 2018
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In: Environmental Research Letters. - : IOP Publishing. - 1748-9326. ; 13:7
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Journal article (peer-reviewed)abstract
- Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and an essential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties that are impeding a precise attribution of human-induced climate change. Here, we aim at comparing a range of independent global monthly land ET estimates with historical model simulations from the global water, agriculture, and biomes sectors participating in the second phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use the EartH2Observe Tier-1 dataset (E2O), two commonly used reanalyses, a pre-compiled ensemble product (LandFlux-EVAL), and an updated collection of recently published datasets that algorithmically derive ET from observations or observations-based estimates (diagnostic datasets). A cluster analysis is applied in order to identify spatio-temporal differences among all datasets and to thus identify factors that dominate overall uncertainties. The clustering is controlled by several factors including the model choice, the meteorological forcing used to drive the assessed models, the data category (models participating in the different sectors of ISIMIP2a, E2O models, diagnostic estimates, reanalysis-based estimates or composite products), the ET scheme, and the number of soil layers in the models. By using these factors to explain spatial and spatio-temporal variabilities in ET, we find that the model choice mostly dominates (24%-40% of variance explained), except for spatio-temporal patterns of total ET, where the forcing explains the largest fraction of the variance (29%). The most dominant clusters of datasets are further compared with individual diagnostic and reanalysis-based estimates to assess their representation of selected heat waves and droughts in the Great Plains, Central Europe and western Russia. Although most of the ET estimates capture these extreme events, the generally large spread among the entire ensemble indicates substantial uncertainties.
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