Institution
Ford Motor Company
Company•Dearborn, Michigan, United States•
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 & Clutch. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.
Topics: Internal combustion engine, Clutch, Control theory, Torque, Exhaust gas
Papers published on a yearly basis
Papers
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27 Sep 1995TL;DR: An automatic transmission for an automotive vehicle includes multiple planetary gear units, each including a sun gear, a ring gear surrounding the sun gear and a set of planet pinions continually engaged with the sun and ring gear.
Abstract: An automatic transmission for an automotive vehicle includes multiple planetary gear units, each including a sun gear, a ring gear surrounding the sun gear, a set of planet pinions continually engaged with the sun gear and ring gear, and a planet carrier rotatably supporting the planet pinions. Various brakes selectively hold elements of the gear units against rotation and several clutches releasably interconnect elements of the, gear units. A torque converter is adapted to produce a hydrokinetic drive connection between the crankshaft of an engine and the input shaft of the transmission, or to mechanically connect those components when a bypass clutch of the torque converter is engaged. Various elements of the planetary gear units are permanently driveably connected mutually.
188 citations
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TL;DR: To evaluate risks for perinatal complications and congenital defects among infants exposed in utero to antidepressants, a large number of patients were exposed to antidepressants in the first trimester of pregnancy.
Abstract: Purpose
To evaluate risks for perinatal complications and congenital defects among infants exposed in utero to antidepressants.
Methods
We identified 2201 women who were prescribed an antidepressant during pregnancy and who delivered an infant within one of five large managed care organizations (HMO). Prescription drug dispensings and inpatient and outpatient diagnoses were obtained from automated databases at each HMO. Antidepressants were categorized into tricyclic antidepressants (TCAs) or selective serotonin reuptake inhibitors (SSRIs), and medication timing was assessed by trimester. Rates of congenital anomalies or perinatal complications were compared to infants whose mothers were not prescribed antidepressants during pregnancy.
Results
Infants exposed to SSRIs or TCAs during pregnancy had a significant increase in preterm delivery risk. Fullterm infants exposed to SSRIs during the third trimester had an increased risk for respiratory distress syndrome, endocrine and metabolic disturbances, hypoglycemia, temperature regulation disorders, and convulsions. Third-trimester exposure to TCAs was also associated with an increased risk for respiratory distress syndrome, endocrine and metabolic disturbances, and temperature regulation disorders. There were 182 infants exposed to Paroxetine, and these infants did not have an increased risk of cardiac septal defects.
Conclusions
SSRIs and TCAs did not show a consistent link with congenital anomalies. Paroxetine exposure was not linked with an increased risk for cardiovascular anomalies, although our study power to detect a moderate increase in risk was limited. Infants exposed to antidepressants were at increased risk for preterm delivery. Both SSRIs and TCAs used during the third trimester appeared to increase the risk for perinatal complications and their use should be managed carefully among pregnant women with depression. Copyright © 2007 John Wiley & Sons, Ltd.
188 citations
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TL;DR: In this article, an improved mechanism for the formation of lubricant-derived antiwear films, which accounts for a substantial body of experimental data, together with some unique observations resulting from their own investigations, was proposed.
188 citations
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01 Jan 2004
TL;DR: This work identifies the needs of GSA in design under uncertainty, and develops generalized analytical formulations that can provide GSA for a variety of metamodels commonly used in engineering applications that follow the form of multivariate tensor-product basis functions for which the analytical results of univariate integrals can be constructed to calculate the multivariate Integrals in GSA.
Abstract: The importance of sensitivity analysis in engineering design cannot be over-emphasized. In design under uncertainty, sensitivity analysis is performed with respect to the probabilistic characteristics. Global sensitivity analysis (GSA), in particular, is used to study the impact of variations in input variables on the variation of a model output. One of the most challenging issues for GSA is the intensive computational demand for assessing the impact of probabilistic variations. Existing variance-based GSA methods are developed for general functional relationships but require a large number of samples. In this work, we develop an efficient and accurate approach to GSA that employs analytic formulations derived from metamodels of engineering simulation models. We examine the types of GSA needed for design under uncertainty and derive generalized analytical formulations of GSA based on a variety of metamodels commonly used in engineering applications. The benefits of our proposed techniques are demonstrated and verified through both illustrative mathematical examples and the robust design for improving vehicle handling performance.Copyright © 2004 by ASME
187 citations
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TL;DR: In this paper, a tool was developed that allows evaluation of thermal mass control strategies using HVAC utility costs as the baseline for comparison in inverse models are used to represent the behavior of the building, cooling plant, and air distribution system.
Abstract: A tool was developed that allows evaluation of thermal mass control strategies using HVAC utility costs as the baseline for comparison Inverse models are used to represent the behavior of the building, cooling plant, and air distribution system Inverse models use measured data to “learn” system behavior and provide relatively accurate site-specific performance predictions Based on weather and solar inputs, as well as occupancy and internal gains schedules and utility rates, the evaluation tool predicts the total HVAC utility cost for a specified control strategy Intelligent thermal mass control strategies can then be identified in a simulation environment using this analysis tool The evaluation tool was validated using data collected from a field site located near Chicago, Illinois The tool predicted HVAC utility costs for a summer month billing period that were within approximately 5% of actual costs Additional studies were performed to examine the utility savings potential for summertime operatio
187 citations
Authors
Showing all 36140 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anil K. Jain | 183 | 1016 | 192151 |
Markus Antonietti | 176 | 1068 | 127235 |
Christopher M. Dobson | 150 | 1008 | 105475 |
Jack Hirsh | 146 | 734 | 86332 |
Galen D. Stucky | 144 | 958 | 101796 |
Federico Capasso | 134 | 1189 | 76957 |
Peter Stone | 130 | 1229 | 79713 |
Gerald R. Crabtree | 128 | 371 | 60973 |
Douglas A. Lauffenburger | 122 | 705 | 55326 |
Abass Alavi | 113 | 1298 | 56672 |
Mark E. Davis | 113 | 568 | 55334 |
Keith Beven | 110 | 514 | 61705 |
Naomi Breslau | 107 | 254 | 42029 |
Fei Wang | 107 | 1824 | 53587 |
Jun Yang | 107 | 2090 | 55257 |