Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Seshadri, Pranay"'
The development of a "Large Airfoil Model (LAM)," a transformative approach for answering technical questions on airfoil aerodynamics, requires a vast dataset and a model to leverage it. To build this foundation, a novel probabilistic machine learnin
Externí odkaz:
http://arxiv.org/abs/2410.08392
Autor:
Mone, Elizabeth, Seshadri, Pranay
The atomic bomb uses fission of heavy elements to produce a large amount of energy. It was designed and deployed during World War II by the United States military. The first test of an atomic bomb occurred in July of 1945 in New Mexico and was given
Externí odkaz:
http://arxiv.org/abs/2403.19657
This manuscript outlines an automated anomaly detection framework for jet engines. It is tailored for identifying spatial anomalies in steady-state temperature measurements at various axial stations in an engine. The framework rests upon ideas from o
Externí odkaz:
http://arxiv.org/abs/2207.06166
Orthogonal polynomial approximations form the foundation to a set of well-established methods for uncertainty quantification known as polynomial chaos. These approximations deliver models for emulating physical systems in a variety of computational e
Externí odkaz:
http://arxiv.org/abs/2203.03508
This study proposes a radically alternate approach for extracting quantitative information from schlieren images. The method uses a scaled, derivative enhanced Gaussian process model to obtain true density estimates from two corresponding schlieren i
Externí odkaz:
http://arxiv.org/abs/2201.05233
Autor:
Tadeja, Sławomir Konrad, Kutt, Krzysztof, Lu, Yupu, Seshadri, Pranay, Nalepa, Grzegorz J., Kristensson, Per Ola
In this paper, we present a Virtual Reality (VR) based environment where the engineer interacts with incoming data from a fleet of aeroengines. This data takes the form of 3D computer-aided design (CAD) engine models coupled with characteristic plots
Externí odkaz:
http://arxiv.org/abs/2107.13403
Computational fluid dynamics plays a key role in the design process across many industries. Recently, there has been increasing interest in data-driven methods, in order to exploit the large volume of data generated by such computations. This paper i
Externí odkaz:
http://arxiv.org/abs/2107.07547
To maximise fuel economy, bladed components in aero-engines operate close to material limits. The severe operating environment leads to in-service damage on compressor and turbine blades, having a profound and immediate impact on the performance of t
Externí odkaz:
http://arxiv.org/abs/2103.05430
Autor:
Wong, Chun Yui, Seshadri, Pranay, Scillitoe, Ashley, Ubald, Bryn Noel, Duncan, Andrew B., Parks, Geoffrey
Blade envelopes offer a set of data-driven tolerance guidelines for manufactured components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for the formulation of blade envelopes is described and demonstrated. In Part II,
Externí odkaz:
http://arxiv.org/abs/2012.15579
Autor:
Seshadri, Pranay, Duncan, Andrew, Thorne, George, Parks, Geoffrey, Diaz, Raul Vazquez, Girolami, Mark
Aeroengine performance is determined by temperature and pressure profiles along various axial stations within an engine. Given limited sensor measurements both along and between axial stations, we require a statistically principled approach to inferr
Externí odkaz:
http://arxiv.org/abs/2011.14698