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 & 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.

Investigation on Hydrogenation of Metal–Organic Frameworks HKUST-1, MIL-53, and ZIF-8 by Hydrogen Spillover

Abstract: The stabilities of three moisture-stable MOFs containing different metal clusters, i.e., HKUST-1 (Cu), MIL-53(Al), and ZIF-8 (Zn), were investigated in dihydrogen and dissociated hydrogen (caused by doped Pt nanoparticles) environments. X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and X-ray-excited Auger electron spectroscopy (XAES) results showed that all three MOFs were stable in dihydrogen environment. However, the structure of Pt-doped HKUST-1 collapsed in the presence of dissociated hydrogen due to the higher reduction potential of Cu compared with H, and the degree of reduction that occurred to the divalent copper in HKUST-1 increased with temperature. Unlike HKUST-1, MIL-53 and ZIF-8 maintained their structures in both dihydrogen and dissociated hydrogen environments at temperatures up to 150 °C. Moreover, comparison of Pt-doped HKUST-1 samples synthesized by chemical vapor deposition (CVD) and incipient wetness impregnation showed that the contact between the doped Pt particles...

A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification

Abstract: We present a coherent neural net based framework for solving various signal processing problems. It relies on the assertion that time-lagged recurrent networks possess the necessary representational capabilities to act as universal approximators of nonlinear dynamical systems. This applies to system identification, time-series prediction, nonlinear filtering, adaptive filtering, and temporal pattern classification. We address the development of models of nonlinear dynamical systems, in the form of time-lagged recurrent neural nets, which can be used without further training. We employ a weight update procedure based on the extended Kalman filter (EKF). Against the tendency for a net to forget earlier learning as it processes new examples, we develop a technique called multistream training. We demonstrate our framework by applying it to 4 problems. First, we show that a single time-lagged recurrent net can be trained to produce excellent one-time-step predictions for two different time series and also to be robust to severe errors in the input sequence. Second, we model stably a complex system containing significant process noise. The remaining two problems are drawn from real-world automotive applications. One involves input-output modeling of the dynamic behavior of a catalyst-sensor system which is exposed to an operating engine's exhaust stream, the other the real-time and continuous detection of engine misfire.

Wheel lift identification for an automotive vehicle

Abstract: A roll control system ( 16 ) for an automotive vehicle ( 10 ) is used to detect if one of the plurality of wheels ( 12 ) is lifted. The system generates a pressure request to determine if the wheel has lifted. A roll control pressure request may also be generated. The wheel lift pressure is suppressed in response to the roll control pressure request. The system may also store a peak wheel speed after the initiation of a build cycle so that the peak wheel speed is used in the wheel lift determination. Also, the system may have an ABS monitor mode which uses the build and release cycles of the ABS system to determine whether a wheel has lifted.

A New Implementation of the Mellin Transform and its Application to Radar Classification of Ships

Abstract: A modified Mellin transform for digital implementation is developed and applied to range radar profiles of naval vessels. The scale invariance property of the Mellin transform provides a means for extracting features from the profiles which are insensitive to the aspect angle of the radar. Past implementations of the Mellin transform based on the FFT have required exponential sampling, interpolation, and the computation of a correction term, all of which introduce errors into the transform. In addition, exponential sampling results in a factor of ln N increase in the number of data points. An alternate implementation, developed in the paper, utilizes a direct expansion of the Mellin integral definition. This direct Mellin transform (DMT) eliminates the implementation problems associated with the FFT approach, and does not increase the number of samples. A scale and translation invariant transform is developed from a modification of the DMT. The MDMT applied to the FFT of the radar profiles results in the desired insensitivity without having the low-pass filtering characteristic that exists in other Fourier-Mellin implementations.

Method and apparatus to limit a midbed temperature of a catalytic converter

Abstract: An electronic engine controller limits the maximum temperature of a midbed point within a catalytic converter by determining an instantaneous temperature of the midbed point as a function of a temperature of exhaust gas at an exhaust flange, of a temperature variation of exhaust gas from the exhaust flange and exhaust gas inlet to the catalytic converter, of exhaust gas at an exhaust gas inlet to the catalytic converter, and as a function of a predetermined value indicative of a temperature rise of exhaust gas in the catalytic converter. The temperature is compared to a maximum midbed temperature range and a first air/fuel modulation variable is altered by a predetermined amount if the temperature of the midbed point is within the maximum midbed temperature range and the first air/fuel modulation variable is set to a predetermined value if the midbed temperature is below the maximum midbed temperature range. The first air/fuel modulation variable is compared to a second air/fuel modulation variable which corresponds to an air/fuel ratio required to produce a predetermined engine response and the rate of fuel delivery to the engine is altered to generate an air/fuel ratio corresponding to the air/fuel modulation variable which represents the richer air/fuel mixture.