Ford Motor Company

About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.

Evaluated kinetic and photochemical data for atmospheric chemistry: Volume VI - heterogeneous reactions with liquid substrates

Abstract: . This article, the sixth in the ACP journal series, presents data evaluated by the IUPAC Task Group on Atmospheric Chemical Kinetic Data Evaluation. It covers the heterogeneous processes involving liquid particles present in the atmosphere with an emphasis on those relevant for the upper troposphere/lower stratosphere and the marine boundary layer, for which uptake coefficients and adsorption parameters have been presented on the IUPAC website since 2009. The article consists of an introduction and guide to the evaluation, giving a unifying framework for parameterisation of atmospheric heterogeneous processes. We provide summary sheets containing the recommended uptake parameters for the evaluated processes. The experimental data on which the recommendations are based are provided in data sheets in separate appendices for the four surfaces considered: liquid water, deliquesced halide salts, other aqueous electrolytes and sulfuric acid.

Left ventricular shape as a determinant of functional mitral regurgitation in patients with severe heart failure secondary to either coronary artery disease or idiopathic dilated cardiomyopathy

Abstract: The relation between left ventricular (LV) shape and functional mitral regurgitation (MR) was evaluated in 39 patients with congestive heart failure. Heart failure was due to coronary artery disease in 23 patients (group I) and to idiopathic dilated cardiomyopathy in 16 (group II). LV shape was quantitated based on the ratio of LV major-to-minor axis and LV sphericity index calculated at end-systole and end-diastole. In group I, 9 patients had angiographic evidence of MR and 14 did not. In group II, 10 patients had MR and 6 did not. Within each group, there were no differences between patients with and without MR with regard to LV chamber volume and regional segmental wall motion abnormalities. In both groups, however, a significant difference was observed between patients with and without MR with respect to end-systolic and end-diastolic LV shape indexes. In group I, the end-systolic major-to-minor axis ratio was lower in patients with (1.42 ± 0.04) than without (1.72 ± 0.05) MR (p

A fresh look at the reliability of long-term digital storage

Abstract: Emerging Web services, such as email, photo sharing, and web site archives, must preserve large volumes of quickly accessible data indefinitely into the future. The costs of doing so often determine whether the service is economically viable. We make the case that these applications' demands on large scale storage systems over long time horizons require us to reevaluate traditional system designs. We examine threats to long-lived data from an end-to-end perspective, taking into account not just hardware and software faults but also faults due to humans and organizations. We present a simple model of long-term storage failures that helps us reason about various strategies for addressing some of these threats. Using this model we show that the most important strategies for increasing the reliability of long-term storage are detecting latent faults quickly, automating fault repair to make it cheaper and faster, and increasing the independence of data replicas.

Safety modelling and testing of lithium-ion batteries in electrified vehicles

Abstract: To optimize the safety of batteries, it is important to understand their behaviours when subjected to abuse conditions. Most early efforts in battery safety modelling focused on either one battery cell or a single field of interest such as mechanical or thermal failure. These efforts may not completely reflect the failure of batteries in automotive applications, where various physical processes can take place in a large number of cells simultaneously. In this Perspective, we review modelling and testing approaches for battery safety under abuse conditions. We then propose a general framework for large-scale multi-physics modelling and experimental work to address safety issues of automotive batteries in real-world applications. In particular, we consider modelling coupled mechanical, electrical, electrochemical and thermal behaviours of batteries, and explore strategies to extend simulations to the battery module and pack level. Moreover, we evaluate safety test approaches for an entire range of automotive hardware sets from cell to pack. We also discuss challenges in building this framework and directions for its future development. Battery safety is a key focus in the design of electrified vehicles. Here, the authors survey literature approaches for modelling and testing battery safety under abuse conditions, and propose a multi-physics modelling and testing framework for real applications.