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arXiv 2024年

作者： Sarkar, Subrato Rahul, Rahul Majee, Bishnu Pada Bryce, Keith Zhang, Lucy Huang, Liping Lian, Jie De, Suvranu Dept. of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute TroyNY United States Center for Modeling Simulation and Imaging in Medicine Rensselaer Polytechnic Institute TroyNY United States Department of Biomedical Engineering Rensselaer Polytechnic Institute TroyNY United States Department of Material Science and Engineering Rensselaer Polytechnic Institute TroyNY United States FAMU-FSU College of Engineering TallahasseeFL United States

The fracture characteristics of LuPO4 rare-earth phosphate environmental barrier coating (EBC) material under molten calcium-magnesium aluminosilicate (CMAS) corrosion is quantified. EBCs are crucial for protecting SiC-based ceramic matrix composite components in the hot section of gas turbine engines. Recent research has highlighted the potential of rare-earth phosphates as better EBC materials than third-generation rare-earth silicates for CMAS corrosion resistance. However, the fracture of EBCs under CMAS corrosion during service remains a significant concern. This work investigates the fracture behavior of LuPO4 using mesoscale simulation and experiments. The model uses micrographs taken from fabricated EBC samples for mesoscale fracture simulations. The simulation results are compared with experimental fracture toughness data and validated using statistical tests (p4 may exhibit higher fracture resistance than Lu2SiO5 rare-earth silicate under similar CMAS corrosion conditions, offering potential insights for future EBC design and development. © 2024, CC BY.

关键词： Aluminosilicates

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Heat Transfer by Jet Cooler/Bubbler/Die Insert

SSRN

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SSRN 2023年

作者： Bohacek, Jan Mraz, Krystof Krutis, Vladimir Kana, Vaclav Karimi-Sibaki, Ebrahim Vakhrushev, Alexander Kharicha, Abdellah Heat Transfer and Fluid Flow Laboratory Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 Brno616 69 Czech Republic Department of Foundry Engineering Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 Brno616 69 Czech Republic Christian-Doppler Laboratory for Metallurgical Applications of Magnetohydrodynamics Dept. of Metallurgy Montanuniversitaet Leoben Franz-Joseph Strasse 18 Leoben8700 Austria Simulation and Modeling Metallurgical Processes Austria

During the high pressure die casting, the major amount of heat is dissipated through the liquid cooled channels in the die. The jet cooler, also known as the die insert or the bubbler, is one of the most commonly used and thus critical components to realize the cooling. The behavior of the cooling system must be known very well. Nowadays, foundries casting engineered products rely on numerical simulations using commercial software, which needs precise input data. A spatial distribution of the heat transfer coefficient in the jet cooler is only vaguely discussed in literature. In the present work, an analogy with the well-known jet impingement upon a hot flat plate is seen, although should be used with caution. The solver for the inverse heat conduction problem is developed that takes temperature measurements from several thermocouples as an input and returns the desired distribution of the heat transfer coefficient. The robustness, efficiency and accuracy of the model was tested and confirmed with the help of the numerical experiment. Finally, first results obtained from measurements with a real jet cooler are presented. © 2023, The Authors. All rights reserved.

关键词： Die casting

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HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time

arXiv

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arXiv 2025年

作者： Pawusch, Louisa Scheurer, Stefania Nowak, Wolfgang Maxwell, Reed University of Stuttgart Institute for Modeling Hydraulic and Environmental Systems Stuttgart Center for Simulation Science Stuttgart Germany Princeton University Dept. of Civil and Environmental Engineering PrincetonNJ United States Princeton University Dept. of Civil and Environmental Engineering High Meadows Environmental Institute Integrated GroundWater Modeling Center PrincetonNJ United States

Finding the initial dept.-to-water table (DTWT) configuration of a catchment is a critical challenge when simulating the hydrological cycle with integrated models, significantly impacting simulation outcomes. Traditionally, this involves iterative spin-up computations, where the model runs under constant atmospheric settings until steady-state is achieved. These so-called model spin-ups are computationally expensive, often requiring many years of simulated time, particularly when the initial DTWT configuration is far from steady state. To accelerate the model spin-up process we developed HydroStartML, a machine learning emulator trained on steady-state DTWT configurations across the contiguous United States. HydroStartML predicts, based on available data like conductivity and surface slopes, a DTWT configuration of the respective watershed, which can be used as an initial DTWT. Our results show that initializing spin-up computations with HydroStartML predictions leads to faster convergence than with other initial configurations like spatially constant DTWTs. The emulator accurately predicts configurations close to steady state, even for terrain configurations not seen in training, and allows especially significant reductions in computational spin-up effort in regions with deep DTWTs. This work opens the door for hybrid approaches that blend machine learning and traditional simulation, enhancing predictive accuracy and efficiency in hydrology for improving water resource management and understanding complex environmental interactions. © 2025, CC BY-NC-ND.

关键词： Water management

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An SDN-IoT-based framework for future smart cities: Addressing perspective

arXiv

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arXiv 2020年

作者： Ghosh, Uttam Chatterjee, Pushpita Shetty, Sachin Datta, Raja Department of EECS Vanderbilt University NashvilleTN37235 United States Department of Computational Modeling and Simulation Engineering Old Dominion University SuffolkVA23435 United States Dept. of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur Kharagpur West Bengal721302 India

In smart this cities Chapter has , been a software-defined proposed and discussed. network (SDN)-based It also comprises framework a distributed for future addressing scheme to facilitate the allocation of addresses to devices in the smart city dynamically. The framework is dynamic and modules can be added and omitted by a centralized controlling unit without disturbing the other components of the framework and other modules may be updated accordingly. In the proposed addressing scheme, a new Internet of Things (IoT) device will receive an IP address from one of their existing neighboring peer devices. This allows devices in the city to act as a proxy and generate a set of unique IP addresses from their own IP addresses, which can then be assigned to new (joining) devices;hence, reducing addressing overhead and latency, as well as avoiding the need to send broadcast messages during the address allocation process. Thus, it achieves considerable bandwidth and energy savings for the IoT devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Internet of things

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Evaluating kinect V1 and V2 for chest wall surface scanning and assessment 8

Evaluating kinect V1 and V2 for chest wall surface scanning ...

引用

8th International Workshop on Innovative simulation for Health Care, IWISH 2019

作者： Kidane, Nahom Obeid, Mohammad F. Hall, Cierra Sakioti, Ntiana Kelly, Robert E. McKenzie, Frederic D. Dept. of Computational Modeling and Simulation Engineering Old Dominion University Norfolk United States Division of Applied Technology Shenandoah University Winchester United States Pediatric Surgery Children's Hospital King's Daughters and Eastern Virginia Medical School Norfolk United States

ISBN: (纸本)9788885741362

Optical scanning has proven to be advantageous to objectively assess the severity of chest wall deformities and the effectiveness of its treatment. By potentially eliminating the need for computed tomography (CT) scanning and superseding manual measurements that are subject to errors, a system that utilizes optical scanning presents great value to patients and practitioners. This work aims to investigate and evaluate the performance of two off-the-shelf optical scanning sensors in the context of their utility and accuracy to measure the severity of chest wall deformities. An in-vitro experiment and a human study are conducted utilizing both sensors to collect data and report the findings. © Innovative simulation for Health Care, IWISH *** Rights Reserved.

关键词： Scanning

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Tracking blade tip vortices for numerical flow simulations of hovering rotorcraft

Tracking blade tip vortices for numerical flow simulations o...

引用

AIAA Aerospace Sciences Meeting, 2018

作者： Kao, David L. Smith, Katherine L. Liu, Zhanping Division NASA Ames Research Center Moffett FieldCA94035 United States Dept. of Mathematics Old Dominion University NorfolkVA23529 United States Dept. of Modeling Simulation and Visualization Engineering Old Dominion University NorfolkVA23529 United States

ISBN: (数字)9781624105241

ISBN: (纸本)9781624105241

Blade tip vortices generated by a helicopter rotor blade are a major source of rotor noise and airframe vibration. The noise and vibration occur when a vortex passes close to, and interacts with, a rotor blade. Accurate prediction of Blade Vortex Interaction (BVI) remains a challenge for Computational Fluid Dynamics (CFD). Although considerable research has been devoted to BVI noise reduction and experimental techniques for measuring the blade tip vortices in a wind tunnel, there are only a handful of post-processing tools available for extracting vortex core lines from CFD simulation data. In order to obtain the vortex core radius, most of these tools require the user to manually select a vortex core to perform the calculation. Furthermore, none of these tools provide an ability to track the growth of a vortex core, which is a measure of how quickly the vortex diffuses over time. This paper introduces an automated approach for tracking the core growth of a blade tip vortex from CFD simulations of rotorcraft in hover. The proposed method enables effective quantification and visualization of blade tip vortices in helicopter rotor wakes. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Vortex flow

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Evaluation of a case study to design a BIM-based cycle planning concept 26

Evaluation of a case study to design a BIM-based cycle plann...

引用

26th Annual Conference of the International Group for Lean Construction: Evolving Lean Construction Towards Mature Production Management Across Cultures and Frontiers, IGLC 2018

作者： Häringer, Paul Borrmann, André Dept. for Civil Geo and Environmental Engineering Technical University of Munich Germany Department of Computational Modeling and Simulation Dept. for Civil Geo and Environmental Engineering Technical University of Munich Germany

ISBN: (纸本)9789380689296

Cycle Planning, or Takt Time Planning, is a key method to reduce the variability between different activities within the execution of a construction. A construction section such as a floor consists of multiple work zones, which should have continuous flow and similar cycle times to efficiently coordinate needed resources. However, for concrete structures it is often difficult to find suitable sizes of casting segments and their grouping to work zones. Nowadays, scheduling experts usually use their practical experience to find an intuitive solution for Cycle Planning, which might be sub-optimal. The objective of our research is thus to develop a semiautomatic method to generate optimal work zones for a cycle. The proposed solution is a BIM-based Cycle Planning concept for the cast in-situ construction method of walls. This paper lays the foundation for our concept and evaluates different designs of Cycle Planning layouts to ensure the practical relevance of the generated work zones. We provide an approach to the semiautomatic method: after splitting all wall objects into smaller sections, an optimization algorithm aggregates wall sections into casting segments and casting segments into work zones. © IGLC 2018 - Proceedings of the 26th Annual Conference of the International Group for Lean Construction: Evolving Lean Construction Towards Mature Production Management Across Cultures and Frontiers. All rights reserved.

关键词： Lean production

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Design of planet landers for soft landing with DHEM propulsion system-Phase I

Design of planet landers for soft landing with DHEM propulsi...

引用

AIAA Propulsion and Energy Forum and Exposition, 2019

作者： Mariappan, Amrith Sukumaran, Ajith Thianesh, U.K. Gowri Sankar, P. Kumar, Ashish Yoon, Sugjoon Sanal Kumar, V.R. Dept. of Aeronautical Engineering Kumaraguru College of Technology CoimbatoreTamil Nadu641 049 India Kumaraguru College of Technology CoimbatoreTamil Nadu641 049 India Modeling and Simulation Laboratory Dept. of Aerospace Engineering Sejong University 209 Neungdong-ro Gwangjin-gu Seoul Korea Republic of Sejong University 209 Neungdong-ro Gwangjin-gu Seoul Korea Republic of Indian Space Research Organisation TrivandrumKerala695022 India

ISBN: (数字)9781624105906

ISBN: (纸本)9781624105906

The dual-head electromagnetic (DHEM) propulsion system is capable to create a spinning motion to the multirotor planet landers without any propellant system. The DHEM devices not only have greater applications in space exploration, but also have much application for the near-earth atmosphere surveillance especially during the natural calamity. This is the continuation of our previous connected paper (AIAA 2019-1125) wherein we could demonstrate the capability of the in-house designed DHEM device for producing continuously the reciprocating moment of a magnetic piston using the polarity changer timing circuit (PCTC). In this companion paper parametric analytical studies have been carried out for the design optimization of planet landers with a DHEM propulsion system for a soft landing. The variable density planet environments of Venus and Mars have been selected for the modeling and simulation. During our preliminary studies in India the DHEM propulsion system is facilitated with a four bladed coaxial propeller for examining the performance characteristics of our proposed soft landing Venus lander. A prototype of the static working model of the DHEM device is tested and qualified in the Space Propulsion Laboratory (SPL) of Kumaraguru College of Technology. In another attempt the DHEM device is connected to a quadcopter and simulations have been carried out using a mixed reality simulation (MRS) technique in the modeling and simulation laboratory (MSL) of Sejong University. The MRS is the combination of the virtual part together with the real part. During the quadcopter model validation, a full virtual part is represented through a computer with X-plane flight simulator and a full real part is represented by a real quadcopter operating within an airfield at South Korea. The technique developed in the MSL is to connect the real quadcopter and the virtual quadcopter together using X-plane, MISSION PLANNER and MATLAB interface for MRS. The earth ground experimental fligh

关键词： Timing circuits

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CrossSimON: A novel probabilistic approach to cross-platform online social network simulation 17

CrossSimON: A novel probabilistic approach to cross-platform...

引用

17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019

作者： Liu, Jinwei Chung, Wingyan Huang, Yifan Toraman, Cagri School of Modeling Simulation and Training University of Central Florida OrlandoFL32826 United States Department of Computer Science Faculty of Engineering University of Hong Kong Pokfulam Hong Kong Hong Kong Dept. of Decision Sciences and Managerial Econ. School of Business Admin. Chinese University of Hong Kong Shatin Hong Kong

ISBN: (纸本)9781728125046

The increasing popularity and diversity of online social networks (OSNs) have attracted more and more people to participate in multiple OSNs. Learning users' behavior and information diffusion across platforms is critical for cyber threat detection, but it is still a challenge due to the surge of users participating in multiple social platforms. Existing research on profile matching requires user identity information to be available, which may not be realistic. Little prior research payed attention to mapping behavioral patterns across platforms. We designed and implemented an efficient two-level probabilistic approach called CrossSimON to mapping user-group behavior across platforms. CrossSimON considers the activity level and network position at both individual user level and group level to correlate activities across social platforms. To evaluate the effectiveness of CrossSimON in modeling social activity across platforms, we conducted experiments on three online social platforms: GitHub, Reddit and Twitter. Our experimental results show that CrossSimON outperformed the Benchmark in 3 out of 5 simulation metrics. CrossSimON achieved better performance in user activity prediction. The research provides new strategy for cross-platform online social network simulation, and new findings on simulating OSNs and predictive analytics for understanding online social network behavior. © 2019 IEEE.

关键词： Mapping

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Non-intrusive Polynomial Chaos Expansion Based Uncertainty Analysis of Bioethanol Production Process

Non-intrusive Polynomial Chaos Expansion Based Uncertainty A...

引用

International Conference on Computing, Mathematics and engineering Technologies (iCoMET)

作者： Iftikhar Ahmad Uzair Ibrahim Zumrud Imdad Gulsayyar Ali Dept. of Chemical and Material Engineering National University of Sciences and Technology Islamabad Pakistan National University of Sciences and Technology Islamabad PK Research Center for Modeling and Simulation National University of Sciences and Technology Islamabad Pakistan

Ethanol production has been a topic of great interest since the world found the significance of renewable biofuels. Process efficiency and sustainability are main points of focus for ethanol production. Uncertainty in input parameters and its effect on the process outcome, i.e., ethanol production, has been a challenge in realizing efficient operations for the process. This study aims quantification of the effect of uncertainty in process inputs on the production of ethanol. The study is based on an Aspen PLUS® flowsheet of ethanol production from corn stover. MATLAB®-Excel®-Aspen® interfacing is used to estimate ethanol production for different values of input variables. The data generated through the interfacing was used to develop a data-driven model. The data-driven model based on the idea of ensemble learning was used within a Polynomial Chaos Expansion to quantify the accumulative effect of uncertainty in process input variable on process output, i.e., ethanol production.

关键词： Uncertainty Production Ethanol Input variables Mathematical model Biochemistry Temperature distribution

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