Digital Commons Network^™

Decision Rules For The Robotic Mobile Fulfillment System Of A Pcb Assembly Factory Warehouse, Ching-Jung Ting, Hendra Permana, Hsien-Mi Meng

International Material Handling Research Colloquium

No abstract provided.

A Fluid Flow Queuing Network Model For Performance Analysis Of Bulk Liquid Terminals, Debjit Roy, Werner Scheinhardt, Jan-Kees Van Ommeren

International Material Handling Research Colloquium

No abstract provided.

Warehouse Robotization With Wheel.Me Genius: A Puzzle-Based Movable Racks System, Fabio Sgarbossa, Martin Amaral Halseide, Atle Timenes

International Material Handling Research Colloquium

No abstract provided.

Simulating Function Generators And Oscilloscopes In A Virtual Laboratory Environment, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Modeling, Simulation and Visualization Student Capstone Conference

This paper discusses the development of a virtual laboratory for simulating electronic instruments commonly used in science and engineering courses, such as function generators and digital storage oscilloscopes. Mathematical equations are used to represent continuous signals and ensure signal integrity, while C# delegates are adopted to enable communication between simulated devices. The approach allows for loose coupling between software components and high cohesion of individual components, and can be applied to other virtual laboratory developments. The virtual laboratory provides a means for students to gain hands-on experience with electronic instruments and improve their understanding of theoretical concepts.

Statistical Approach To Quantifying Interceptability Of Interaction Scenarios For Testing Autonomous Surface Vessels, Benjamin E. Hargis, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents a probabilistic approach to quantifying interceptability of an interaction scenario designed to test collision avoidance of autonomous navigation algorithms. Interceptability is one of many measures to determine the complexity or difficulty of an interaction scenario. This approach uses a combined probability model of capability and intent to create a predicted position probability map for the system under test. Then, intercept-ability is quantified by determining the overlap between the system under test probability map and the intruder’s capability model. The approach is general; however, a demonstration is provided using kinematic capability models and an odometry-based intent model.

Enhancing Pedestrian-Autonomous Vehicle Safety In Low Visibility Scenarios: A Comprehensive Simulation Method, Zizheng Yan, Yang Liu, Hong Yang

Modeling, Simulation and Visualization Student Capstone Conference

Self-driving cars raise safety concerns, particularly regarding pedestrian interactions. Current research lacks a systematic understanding of these interactions in diverse scenarios. Autonomous Vehicle (AV) performance can vary due to perception accuracy, algorithm reliability, and environmental dynamics. This study examines AV-pedestrian safety issues, focusing on low visibility conditions, using a co-simulation framework combining virtual reality and an autonomous driving simulator. 40 experiments were conducted, extracting surrogate safety measures (SSMs) from AV and pedestrian trajectories. The results indicate that low visibility can impair AV performance, increasing conflict risks for pedestrians. AV algorithms may require further enhancements and validations for consistent safety performance …

Improvement Of The Training Paddle For A Swimmer With Unilateral Transradial Deficiency, Motomu Nakashima, Yohei Chida

International Sports Engineering Association – Engineering of Sport

No abstract provided.

The Potential Of Co-Simulation In Sports Engineering - A Review On Spine Simulations, Kati Nispel

International Sports Engineering Association – Engineering of Sport

No abstract provided.

Comparison Of Three-Dimensional Dynamic Models For Golf Clubhead-Ball Impacts, Adam Caldwell, John Mcphee

International Sports Engineering Association – Engineering of Sport

No abstract provided.

Scandy: Simulating Realistic Human Scanpaths In Dynamic Real-World Scenes, Nicolas Roth, Martin Rolfs, Klaus Obermayer

MODVIS Workshop

No abstract provided.

Synthesizing Maritime Interaction Scenarios For Testing Autonomy, Benjamin E. Hargis, Yiannis E. Papelis

Modeling, Simulation and Visualization Student Capstone Conference

This paper presents a method to deterministically synthesize maritime traffic interactions that can be presented to a system under test regardless of the state of the system under test. A background to the problem is given and the method is briefly outlined. Results indicate that the approach can enable more robust evaluation of maritime autonomous algorithms.

Engaging Human-In-The-Loop For Autonomous Vehicle Simulation, John Di Battista, Christian Johnston, Valerie Randall, Jackson Shanahan

Modeling, Simulation and Visualization Student Capstone Conference

Many autonomous vehicles are still in the development phase due to limited research and testing and will take a considerable amount of time to further develop before they are ready for public release. The main objective of this study is to introduce a human-in-the-loop simulation framework for supporting autonomous vehicle research. Our proposed simulation framework aims to facilitate AV assessment by providing a safer and more efficient way. Functionally, it is focused on the understanding of AVs’ operations in the presence of pedestrian users. The developed simulation framework allows a human pedestrian avatar to be integrated into the high-fidelity 3D …

Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto

Modeling, Simulation and Visualization Student Capstone Conference

This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.

Implementing Virtual Reality Technology For Supporting Autonomous Vehicle-Pedestrian Behavioral And Interaction Research, Zizheng Yan

Modeling, Simulation and Visualization Student Capstone Conference

The deployment of autonomous vehicles (AVs) has been expected to significantly reshape traffic safety on roads. However, there is still a relatively long journey to achieve high-level autonomy and the safety level of interaction between AVs and vulnerable road users (e.g., pedestrians, cyclists, or passengers) is still unclear due to very limited data and field tests. The main objective of this paper is to propose a high-fidelity human-in-the-loop simulation that is capable of supporting AV-pedestrian interactions by coupling an advanced AV simulator with virtual reality technology. The prototype of the extended simulation framework has been developed and demonstrated with experimental …

Student Learning And Retention Using A Flight Training Device: A Case Study, Adeel Khalid

National Training Aircraft Symposium (NTAS)

Student learning and retention as a function of the mode of teaching is analyzed in this study. Different groups of students receive information about aircraft flight operations either via lecture, through directed study, a combination of the two or through a pre-recorded flight demonstration video. Their level of learning is assessed by evaluating how well they fly an aircraft and perform a predefined mission using a flight simulator. Scores of different groups are compared qualitatively and quantitatively and students are surveyed after the flight. It is hypothesized that students that learn through watching a demonstration video and have the ability …

Holographic Micro-Simulations To Enhance Aviation Training With Mixed Reality, Lori Brown Fraes, Msc, Hfavn

National Training Aircraft Symposium (NTAS)

Mixed reality technologies present a new medium, a new paradigm of augmented reality, where for the first time we have the ability to take the analog world and superimpose digital training artifacts and create a ‘mixed reality’ to enhance aviation training. Digital computing headsets such as Microsoft HoloLens are intuitive and offer a natural means of interaction with no computer, wire or touch-screen. This approach has several practical advantages to overlay holographic elements onto real-world crew environments which makes holographic micro-simulations particularly suited to aviation training and education. Unlike virtual reality—the user is not isolated from their surroundings. MR allows …

Computational Catalysis: Creating A User-Friendly Tool For Research And Education, Kevin P. Greenman, Peilin Liao

The Summer Undergraduate Research Fellowship (SURF) Symposium

Catalysis is used in a significant portion of production processes in the industrialized world, including most processing of chemicals and fuels. This makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by experiments. Density functional theory (DFT) has been widely and successfully used to calculate material properties relevant to catalysis and to screen promising candidates for experimental testing, but there currently exists no publicly- available, user-friendly tool for performing these DFT calculations. This work details the development of such a tool for nanoHUB.org …

Thermophotovoltaic Devices: Combustion Chamber Optimization And Modelling To Maximize Fuel Efficiency, Arnold Chris Toppo, Ernesto Marinero, Zhaxylyk Kudyshev

The Summer Undergraduate Research Fellowship (SURF) Symposium

Currently, 110 billion cubic meters of natural gas (primarily methane), a potent greenhouse gas, are flared off for environmental and safety reasons. This process results in enough fuel to provide the combined natural gas consumption of Germany and France. The research team developed a thermophotovoltaic device to convert thermal energy to electricity at a high efficiency using proprietary emitters and combustion system. With the current focus being fuel efficiency and the combustion process, the assembly was simulated using ANSYS Fluent modelling software and the following parameters were optimized: air/fuel ratios, flow rates, and inlet sizes. Simultaneously the heat transfer across …

Grain Boundary Motion Analysis, Jeremy Marquardt, Xiaorong Cai, Marisol Koslowski

The Summer Undergraduate Research Fellowship (SURF) Symposium

Grain growth is a mechanism to relax residual stresses in thin films. These grains grow out of the thin film surface and are known as whiskers. These whiskers can cause short circuits, so developing scalable and cost effective solutions would increase the reliability and utility of tin electronics. A popular of method of examining tin whiskering is microscopic simulation, as it provides an accurate and cost effective way to predict the consequences of proposed models. Specifically examining the evolution of grain boundaries, this paper aims to present the results of grain boundary motion simulations through a generalized program that streamlines …

Predicting And Optimizing Solar Cell Performance With Material/Surface Characteristics, Yiheng Zhu, Allison Perna, Peter Bermel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Renewable energy sources have begun replacing fossil fuels at the utility scale. In particular, photovoltaics has grown rapidly in recent years. To further improve solar technology in terms of cost and efficiency and promote adoption, researchers often seek material and device level advancements. Photovoltaic simulation tools can be utilized to predict device performance before fabrication and experimentation, streamline research processes, and interpret experimental results. Therefore, we developed ContourPV, which simulates various combinations of values of different device characteristics to optimize and predict photovoltaic performance. ContourPV sweeps the inputted range of values for each chosen device or layer characteristic and obtains …

Experimental Validation Of A Numerical Phase Change Model For Microchannel Slug Flow Boiling, Christian J. Retter, Todd A. Kingston, Justin A. Weibel, Suresh V. Garimella

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thermal management of high-power electronic devices continues to be a critical challenge. Flow boiling in microchannel heat sinks has been demonstrated to be an effective method for removing high heat fluxes from these devices owing to utilization of the latent heat of the fluid and the large surface area enhancement for heat exchange. However, microchannel flow boiling technologies have yet to be broadly implemented due to a lack of experimentally validated prediction and design tools. The goal of this study is to use high-fidelity experimental data to validate a previously developed numerical phase change model, to help enable physics-based prediction …

Parallelization Of A Three-Dimensional Full Multigrid Algorithm To Simulate Tumor Growth, Dylan Goodin, Chin F. Ng, Hermann B. Frieboes

Commonwealth Computational Summit

We present the performance gains of an openMP implementation of a fully adaptive nonlinear full multigrid (FMG) algorithm to simulate three-dimensional multispecies desmoplastic tumor growth on computer systems of varying processing capabilities. The FMG algorithm is applied to solve a recently published thermodynamic mixture model that uses a diffuse interface approach with fourth-order reaction-advection-diffusion PDEs (Cahn-Hilliard-type equations) that are coupled, nonlinear, and numerically stiff. The model includes multiple cell species and extracellular matrix (ECM), with adhesive and elastic energy contributions in chemical potential terms, as well as including blood and lymphatic vessels represented as continuous vasculatures. Advection-reaction-diffusion PDEs are employed …

Modelling Catalytic Structures With Python And Ase, Tommie L. Day, Peilin Liao, Pilsun Yoo

The Summer Undergraduate Research Fellowship (SURF) Symposium

Voltaic cells hold great potential as a source of clean electricity generation. These fuel sources are more efficient than combustion engines, and they do not produce environmentally harmful by-products. The electrochemical reaction which occurs within the cell is typically catalyzed by platinum, which increases the cost. The search for a better performing, less expensive catalyst is hindered by the lack of a complete, predictive theory of catalysis. Using Quantum Espresso and the Atomic Simulation Environment library for Python, we created a tool for nanoHUB.org which can visually and computationally model catalytic surfaces. This tool can simulate nanoparticles and metallic surfaces …

Verification Of Tfit Code Numerical Method For Flow Excursion Simulation, Patrick S. Foster, Subash Sharma, Martin L. Bertodano

The Summer Undergraduate Research Fellowship (SURF) Symposium

This research is aimed towards accurately modeling and predicting the onset of the two-phase flow excursion instability using the code TFIT (Two Fluid Interfacial Temperature). In order to do this we first had to show that the numerical diffusion of the code’s finite difference equations could be reduced to an insignificant level by decreasing the mesh size.

Understanding and being able to accurately model flow excursion can help us understand how to prevent the potential negative effects of this instability. We are using a two-fluid model with physics-based closure relations. The results will be validated against the experimental data available …

Simulating Dynamic Failure Of Polymer-Bonded Explosives Under Periodic Excitation, Rachel Kohler, Camilo Duarte Cordon, Marisol Koslowski

The Summer Undergraduate Research Fellowship (SURF) Symposium

Accidental mishandling of explosive materials leads to thousands of injuries in the US every year. Understanding the mechanisms behind the detonation process is crucial to prevent such accidents. In polymer-bonded explosives (PBX), high-frequency mechanical excitation generates thermal energy and can lead to an increase in temperature and vapor pressure, and potentially the initiation of the detonation process. However, the mechanisms behind this energy release, such as the effects of dynamic fracture and friction, are not well understood. Experimental data is difficult to collect due to the different time scales of reactions and vibrations, so research is aided by running simulations …

Modelling The Softening Behaviour During Galvanizing Of Various Steel Grades, Kevin Banks, Rorisang Maubane, Thabang Makwena

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Thermodynamic Simulation For Solidification Path In Die Casting Alloy Development, Mohamad Rusydi Mohamad Yasin, Dongke Sun, Qingyou Han

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Simulation For Carbon Nanotube Dispersion And Microstructure Formation In Cnts/Mg Composite Fabricated With Ultrasonic Processing, Yuansheng Yang, Fuze Zhao, Shaozhen Zhu, Xiaohui Feng

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Modelling The Softening Behaviour During Galvanizing Of Various Steel Grades, Kevin Banks, Rorisang Maubane, Thabang Makwena

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Temperature Distributions Influencing Lateral Spread In Industrial Hot Rolling, Baohui Tian, Siegfried Kleber, Silvia Zinner, Peter Markiewicz

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.