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.

Elastic constants of silver and gold

Abstract: The three elastic constants ${\mathrm{C}}_{44}$, $\frac{1}{2}({C}_{11}\ensuremath{-}{C}_{12})$, and $\frac{1}{2}({C}_{11}+{C}_{12}+2{C}_{44})$ have been directly measured for silver and gold in the temperature range between 4.2 and 300\ifmmode^\circ\else\textdegree\fi{}K. The various contributions to the values of the 0\ifmmode^\circ\else\textdegree\fi{}K constants are analyzed in terms of a simple model which quite successfully describes copper. It is concluded that such a model is unsatisfactory when applied to the heavier noble metals because these appear to have large noncentral forces contributing to their constants. Combined with pressure data the present results show the elastic constants to be explicit functions of temperature. The Debye characteristic temperatures calculated from the 0\ifmmode^\circ\else\textdegree\fi{}K elastic constants are shown to be in substantial agreement with the results from calorimetry.

Vocal fold immobility: a longitudinal analysis of etiology over 20 years.

Abstract: Objectives:To determine the current etiology of vocal fold immobility, identify changing trends over the last 20 years, and compare results to historical reports.Study Design:The present study is a retrospective analysis of all patients seen within a tertiary care institution between 1996 and 2005 w

MPC-based yaw and lateral stabilisation via active front steering and braking

Abstract: In this paper we propose a path following Model Predictive Control-based (MPC) scheme utilizing steering and braking. The control objective is to track a desired path for obstacle avoidance maneuver, by a combined use of braking and steering. The proposed control scheme relies on the Nonlinear MPC (NMPC) formulation we used in [1] and [2]. In this work, the NMPC formulation will be used in order to derive two different approaches. The first relies on a full tenth order vehicle model and has high computational burden. The second approach is based on a simplified bicycle model and has a lower computational complexity compared to the first. The effectiveness of the proposed approaches is demonstrated through simulations and experiments.