Airplane Impact Examples Using ANSYS Explicit Dynamics

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This presentation shows examples of the impact of a bird strike on the nose and wing of an airplane.

© 2012 ANSYS, Inc. All rights reservedMay 15, 2014
/xx
ANSYS Explicit Dynamics
Airplane Impact Examples
Bence Gerber
bence.gerber@ansys.com

© 2012 ANSYS, Inc. All rights reservedMay 15, 2014
/xx
Bird Strike on Airframe and Wing
Animation of impact on nose Animation of impact on wing

© 2012 ANSYS, Inc. All rights reservedMay 15, 2014
/xx
Example Turbine Fan
Blade-out Blade containment

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Digital Communication: Digital communication refers to the transmission of information using digital signals, where data is represented by discrete symbols or values. It encompasses various techniques for encoding, transmitting, and decoding digital data, including text, images, audio, and video. Digital communication systems offer advantages such as improved signal quality, noise immunity, and the ability to multiplex multiple data streams. Differential Pulse Code Modulation (DPCM): DPCM is a digital modulation technique used for encoding analog signals into digital form. In DPCM, the difference between the current sample and the predicted value of the sample is quantized and encoded, rather than encoding the absolute sample value directly. This technique can reduce the amount of data required for transmission compared to standard pulse code modulation (PCM), especially for signals with correlation between successive samples. Delta Modulation (DM): Delta modulation is a simple form of analog-to-digital conversion where the difference (delta) between the current sample and the previous sample is quantized and encoded. In DM, only the sign of the difference (positive or negative) is transmitted, which simplifies the encoding process. However, DM may suffer from quantization noise and limited signal fidelity, especially for rapidly changing or high-frequency signals. Adaptive Delta Modulation (ADM): Adaptive delta modulation is an extension of delta modulation that dynamically adjusts the step size or quantization level based on the characteristics of the input signal. Unlike fixed-step delta modulation, ADM can adapt to changes in signal amplitude or frequency, resulting in improved signal fidelity and reduced quantization error. ADM is particularly useful for encoding signals with varying dynamics or signal-to-noise ratios

Digital Communication Essentials: DPCM, DM, and ADM .pptx

Digital Communication Essentials: DPCM, DM, and ADM .pptx

Digital Communication Essentials: DPCM, DM, and ADM .pptx

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