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Precipitation in an A356 foundry alloy with Cu additions - A transmission electron microscopy study
(Peer reviewed; Journal article, 2019)The influence of different Cu addition levels on the age hardening and precipitation behaviors in an Al356 foundry alloy during artificial aging treatment has been systematically studied. A detailed characterization of the ... -
Precipitation in an extruded AA7003 aluminium alloy: Observations of 6xxx-type hardening phases
(Journal article; Peer reviewed, 2019)Precipitation behaviour in an industrially extruded AA7003 alloy has been studied using Transmission Electron Microscopy (TEM) together with Differential Scanning Calorimetry (DSC). Air Cooling (AC) after solution heat ... -
Precipitation of Non-Spherical Particles in Aluminum Alloys Part I: Generalization of the Kampmann–Wagner Numerical Model
(Peer reviewed; Journal article, 2015)Particles precipitated during aging treatments often have non-spherical shapes, e.g., needles or plates, while in the classical Kampmann–Wagner Numerical (KWN) precipitation model, it is assumed that the particles are of ... -
Predicting crystal growth via a unified kinetic three-dimensional partition model
(Peer reviewed; Journal article, 2017)Understanding and predicting crystal growth is fundamental to the control of functionality in modern materials. Despite investigations for more than one hundred years1,2,3,4,5, it is only recently that the molecular ... -
Predicting diagnostic coding in hospitals: individual level effects of price incentives
(Peer reviewed; Journal article, 2021)The purpose of this paper is to test if implicit price incentives infuence the diagnostic coding of hospital discharges. We estimate if the probability of being coded as a complicated patient was related to a specifc price ... -
Predicting Near-Time Satellite Signal Attenuation at Ka-band Using Tropospheric Weather.
(Chapter, 2018)There are satellite communication applications where it is desirable to predict near time (e.g. 2 to 12 h) propagation losses at Ka-band due to hydrometeor precipitation. We present results from a project investigating the ... -
Predicting strain engineering strategies using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor
(Peer reviewed; Journal article, 2018)Streptomyces coelicolor is a model organism for the Actinobacteria, a phylum known to produce an extensive range of different bioactive compounds that include antibiotics currently used in the clinic. Biosynthetic gene ... -
Predicting the Biological Effects of Human Salivary Gland Tumour Cells for Scanned 4He-, 12C-, 16O-, and 20Ne-Ion Beams Using an SOI Microdosimeter
(Peer reviewed; Journal article, 2022)Experimental microdosimetry along with the microdosimetric kinetic (MK) model can be utilized to predict the biological effects of ions. To predict the relative biological effectiveness (RBE) of ions and the survival ... -
Prediction errors associated with sparse grid estimates of local atmospheric flows
(Research report, 2006)Numerical simulations of geophysical flows have to be done on very sparse grids. This study show that moderately stratified flows can nevertheless be predicted usefully accurate. For better grids than about ∆x1/H~0.5 ... -
Prediction of cerebral perfusion pressure during carotid surgery – A computational fluid dynamics approach
(Peer reviewed; Journal article, 2022)Background: Maintaining cerebral perfusion pressure in the brain when a carotid artery is closed during vascular surgery is critical for avoiding intraoperative hypoperfusion and risk of ischemic stroke. Here we propose ... -
Prediction of DHW energy use in a hotel in Norway
(Journal article; Peer reviewed, 2019)Domestic hot water (DHW) systems are significant consumers of energy in buildings. This article is dedicated to hourly and daily DHW energy use modeling, with the aim of achieving energy savings in buildings. The methods ... -
Prediction of guidewire-induced aortic deformations during EVAR: a finite element and in vitro study
(Peer reviewed; Journal article, 2023)Introduction and aims: During an Endovascular Aneurysm Repair (EVAR) procedure a stiff guidewire is inserted from the iliac arteries. This induces significant deformations on the vasculature, thus, affecting the pre-operative ... -
Prediction of solute diffusivity in Al assisted by first-principles molecular dynamics
(Peer reviewed; Journal article, 2014)Ab initio calculations of the solid-state diffusivity of solute atoms in bulk aluminium have previously been based on transition state theory (TST), employing transition state searches and systematic assessments of single ... -
Predictions of local atmospheric flows based upon the Rjeynolds averaged equations, applied to aviation safety
(Research report, 2006)The report describes the modelling of a meteorological prediction system for local flows in mountainous terrain. A suggestion of how the predictions should be interpreted for estimating the flight safety is also ... -
Predictive maintenance control
(Chapter, 2007)This paper presents a novel concept for calculation of optimal maintenance strategies for equipments that degrade over time. The concept is based on a dynamic mathematical model that is used in a look-ahead strategy to ... -
A predictive model unifying hydrogen enhanced plasticity and decohesion
(Peer reviewed; Journal article, 2022)The detrimental effect of hydrogen on metals which manifests itself as a transition from a ductile to a brittle failure mode is, for the first time, incorporated into a unified continuum-scale predictive framework. The ... -
Predominant Climate Exposure Strains - Thermal Degradation Testing Compared to Historical and Future Climate Scenarios
(Chapter; Conference object, 2020)The service life of a building or structure is often presumed to be 60 years. Products used in the building envelope are often covered by a facade material on the exterior side. Hence, the failure of these products is not ... -
Preface: Innovation in HCI- What Can We Learn from DesignThinking?
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Preliminary toolkit for goals and KPIs
(PI-SEC;, Research report, 2017)PI-SEC er et norsk forskningsprosjekt som påløper i tidsrommet april 2016 til mars 2019. Prosjektet er finansiert av Norges forskningsråd. PI-SEC står for "Planning Instruments for Smart Energy Communities", og prosjektet ...