Approved & Conditionally Approved Submissions

 

Content Line-up

In the coming weeks, we will publish a preliminary agenda with the submissions below grouped into tentative sessions. The following list is comprised of Approved and Conditionally Approved CAASE20 abstracts and primarily serves those anxious individuals who are excited to see what will be presented.

The list below is categorized by top-level topics identified on the Themes & Topics page, and then by author's name. It's important to mention that at this stage, the category identified next to each submission is not necessarily how the presentation will be categorized in the agenda. This initial categorization was based on the themes and topics identified by the author at the time of submission.

Note: Lvl 1 = Introductory, Lvl 2 = Intermediate, and Lvl 3 = Advanced (as assessed by the submitting author).

 

Presentation ListingCAASE Topic (Reference)
Additive Manufacturing Applied in Cost & Weight Reduction Strategies in Automotive Components (C. Castro, Ford Motor Company; Lvl: 2)Additive Manufacturing
Additively Manufactured High Performance Heat Exchangers (M. Vlahinos, nTopology; Lvl: 2)Additive Manufacturing
Prediction of Microstructure within Additively Manufactured Parts through the Use of Finite Element Methods and Cellular Automata (M. Allen, TWI; Lvl: 2)Additive Manufacturing
Rapid 3D Inspection of AM Components Using CT: From Defect Detection to Thermal Performance Simulation (C. Butler, Synopsys; Lvl: 2)Additive Manufacturing
Designing the Future with Optimization-Led Design & AI/ML Solution (A. Farahani, ETA Engineering Tech. Assoc.; Lvl: 3)Additive Manufacturing
Influence Of Support Material Design In Additive Manufacturing For Strength Performance (K. Flores, Ford Motor Company; Lvl: 2)Additive Manufacturing
Virtual Design, Validation, and Manufacturability for Metal Powder Bed Additive Manufacturing (R. Hoglund, Altair Engineering, Inc.; Lvl: 2)Additive Manufacturing
Taking into Account Defects in Structural Simulation of Additively Manufactured or Casted Components (B. Lauterbach, Volume Graphics GmbH; Lvl: 3)Additive Manufacturing
Multiscale Characterization of the Mechanical Behavior of Metals from Finite Element Simulation of Crystal Microstructures (R. Mclendon, Dassault Systemes, SIMULIA; Lvl: 2)Additive Manufacturing
Improving PDC times: Virtual validation using rapid prototyping, FEA & 3D scan (M. Mendoza Vazquez, Autoliv Mexico; Lvl: 1)Additive Manufacturing
Structural Optimization of FRep Models and Their Additive Manufacturing (D. Popov, Skolkovo Institute of Science and Technology; Lvl: 2)Additive Manufacturing
Assembly Consolidation in Additively Manufactured Waveguides (L. Salman, ANSYS Canada Ltd.; Lvl: 2)Additive Manufacturing
Topology Optimization of an AM Knuckle for the Acura NSX GT3 Race Car (A. Sheldon, Honda R & D, Americas, Inc.; Lvl: 2)Additive Manufacturing
An Evolving Material Porosity on an Additive Manufacturing Simulation with the Generalized Method of Cells (L. Silva, Western Michigan University; Lvl: 1)Additive Manufacturing
Using Thermal-Mechanical Topology Optimization and Additive Manufacturing for Performance Driven Space Flight Hardware Design (R. Vernon, Altair Engineering; Lvl: 1)Additive Manufacturing
Topology Optimization Using Linear Statics with Coupled Steady-State Heat Transfer and Adaptive Free Convection (D. Weinberg, Autodesk Inc.; Lvl: 2)Additive Manufacturing
Topology Optimization with Overhang Angle Constraints and Lattice Optimization to Design Parts Using Additive Manufacturing (Z. Zeng, Vanderplaats Research & Development; Lvl: 2)Additive Manufacturing
Application of a Composite Material Shell-Element Model in Ballistic Impact and Crush Simulations (T. Achstetter, George Mason University; Lvl: 3)Advanced Composites
Tensile Loading of 3D Woven Textile Composites: A Progressive Failure Analysis (D. Patel, Dassault Systemes SIMULIA Corp; Lvl: 3)Advanced Composites
On Post Processing of Carbon Composite Tubes in Compression Simulations: Justification and Validation (R. Cutting, Purdue University; Lvl: 2)Advanced Composites
Predictive Analytics and Uncertainty Quantification of a Microwave Ablation Simulation with Spatial and Transient Responses (G. Jones, SmartUQ; Lvl: 1)Advanced Information Technologies
Big Data for Durability and Reliability Engineers (J. Aldred, HBM Prenscia nCode; Lvl: 1)Advanced Information Technologies
The Coming Engineering Analysis and Simulation Transformation (A. Ayala, Ford Motor Company; Lvl: 3)Advanced Information Technologies
Geodesic Convolutional Neural Network for 3D Deep-Learning Based Surrogate Modeling and Optimization (S. Baset, Neural Concept SA; Lvl: 2)Advanced Information Technologies
Monetizing Digital: Where Engineering Meets Dollars (J. Betts, Front End Analytics LLC; Lvl: 2)Advanced Information Technologies
Design of Hydrocarbon Blending for Minimized Pipeline Transport Cost through Machine Learning (D. Cheng, Fluor Enterprises Inc; Lvl: 2)Advanced Information Technologies
Internal Flow Optimization: Next Level Performance Driven Engineering & Additive Manufacturing (T. Cole, Dassault Systemes; Lvl: 1)Advanced Information Technologies
Simulation Tools for Designers: Generative Design and Meshless Simulation (J. Coors-Blankenship, PTC; Lvl: 2)Advanced Information Technologies
Physics Informed Machine Learning (PIMLᵀᴹ): Surrogate Models Providing Deeper Insights with Less Data (S. Gondipalle, Front End Analytics LLC; Lvl: 2)Advanced Information Technologies
Engineering Analytics for the Automotive Industry (G. Jones, SmartUQ; Lvl: 1)Advanced Information Technologies
Apply Artificial Intelligence to Do a Heuristic Search for Optimal Breakpoints in Engine Mapping (C. Li, Ford Motor Company; Lvl: 3)Advanced Information Technologies
Bayesian Validation and Calibration of Machine-Learning Surrogates in Multi-Fidelity Data Driven CAE (S. Mukherjee, ANSYS Inc.; Lvl: 3)Advanced Information Technologies
Real-Time Structural Integrity Evaluation Combining Digital Twin, Instrumentation and Finite Element Simulation (T. Roudier, E-Sim Solutions Inc; Lvl: 2)Advanced Information Technologies
Development of a Real-Time Engine Temperature Monitoring System, Using AI Based on Accurate and Validated Thermal Simulation Data (C. Semler, MAYA HTT; Lvl: 2)Advanced Information Technologies
How to Leverage AI in Discrete Manufacturing for the Aeronautic Industry (C. Soussou, MAYA HTT; Lvl: 2)Advanced Information Technologies
Techniques for Generating and Simulating Lattice Structures (A. Vlahinos, Advanced Engineering Solutions LLC; Lvl: 2)Advanced Information Technologies
Understanding a Generative Design Enabled Design Process Paradigm Shift (J. Walsh, intrinSIM LLC; Lvl: 2)Advanced Information Technologies
Generative Design Use Case Requirements Assessment (J. Walsh, intrinSIM LLC; Lvl: )Advanced Information Technologies
Generative Design When It Matters Most! (P. Yadav, SciArt Software, Inc.; Lvl: 2)Advanced Information Technologies
Dynamic Response and Viscoelastic Heating of Elastomer Seals (A. Al-Quraishi, National Oilwell Varco Rig Systems; Lvl: 2)Advanced Materials Engineering
Optimisation of the strength of a Composite Floor System by Numerical Simulation of Steel and Concrete interaction (H. Bastien, CREAFORM; Lvl: 3)Advanced Materials Engineering
Numerical Analysis and Behavior of Ultra High-Performance Concrete (K. Bilal, Stantec; Lvl: 2)Advanced Materials Engineering
Using Electrochemical Simulation to Both Optimize Alloy Electroplating Plating and Predict the Consequent Impact on Product Corrosion Resistance (A. Rose, Corrdesa LLC; Lvl: 2)Advanced Materials Engineering
Design Evaluation and Optimization of HPLC Seals through Accurate Numerical Simulations (X. Yan, Saint-Gobain Performance Plastics; Lvl: 2)Advanced Materials Engineering
Optimizing the Performance of Adhesives Using Experiments and Predictive Simulations (S. Akarapu, 3M Company; Lvl: 3)Advanced Materials Engineering
Towards High Throughput Simulations of Microstructure Mechanical Behavior in the AM Process (K. Genc, Synopsys; Lvl: 2)Advanced Materials Engineering
Microscale Modeling of Metal Filled Coating for Corrosion Protection (A. Rose, Corrdesa LLC; Lvl: 2)Advanced Materials Engineering
Simulations Reality - How Simulation Can Act Like a Vehicle Loan from Tony Soprano’s Jersey State Credit Union (M. Zebrowski, Consultant (Ford Motor Company, Retired); Lvl: 2)CAE Tactical & Strategic Roadmaps
Fully Coupled Conjugate Heat Transfer between 1D and 3D CFD (R. Euerby, Mentor Graphics Corp.; Lvl: 2)CFD
A Computational Approach to Designing an Optimal Urea Mixer in a Diesel Exhaust System (M. Felice, Ford Motor Company; Lvl: 3)CFD
FSI Analysis of an Autonomous Underwater Vehicle in Oscillating Motion (K. Fouladi, InfoMec Consulting; Lvl: 2)CFD
Modeling Multiphase Flow in the GORE Mercury Control System (V. Rakesh, W.L. Gore & Associates; Lvl: 2)CFD
On Simulating Liquid Atomization Processes with High Fidelity and Speed (M. Sami, ANSYS Inc.; Lvl: 3)CFD
Enabling High Fidelity External Aero CFD Simulations (V. Skaperdas, BETA CAE Systems SA; Lvl: 2)CFD
A New CFD Based Fire Risk Metric for Refrigerant Leakage Scenarios (M. Tabaddor, Underwriters Laboratories Inc; Lvl: 2)CFD
Connected Enterprise with Relevant Information and Meaningful Data... How Do You Achieve It? (A. Duma, Sigmetrix; Lvl: 1)Collaboration/Data Sharing Throughout the Extended Enterprise
New Ways to Create and Share High-Fidelity Simulation Insights Across the Product Lifecycle, to Increase Analyst Productivity and Improve Product Quality (P. Mandava, Visual Collaboration Technologies Inc; Lvl: 2)Collaboration/Data Sharing throughout the Extended Enterprise
Integrating Different Tools in Engine Simulation to Advance Towards a Conjugate Heat Transfer Solution (A. Megel, Southwest Research Institute; Lvl: 2)Collaboration/Data Sharing Throughout the Extended Enterprise
Using Machine Readable Physics for Simulation Governance and Democratization (J. Szarazi, Koneksys; Lvl: 1)Collaboration/Data Sharing Throughout the Extended Enterprise
Open Data Formats in Commercial FEA Software (K. Walker, MSC Software; Lvl: 2)Collaboration/Data Sharing throughout the Extended Enterprise
Why Do My CAE Results Not Correlate with Test Results? (G. Roth, Siemens Digital Industries Software; Lvl: 2)Collaboration/Data Sharing throughout the Extended Enterprise
Cultural Challenges - Growing a Small Business Through a Lessons Learned Approach (A. Entwistle, McCormick Stevenson Corporation; Lvl: 1)Cultural Challenges
Making Believers out of Non-Believers: Psychology behind Transformation (C. Johar, AAON Inc; Lvl: 2)Cultural Challenges
Keeping a Large Enterprise Engaged in the Journey from Test-Centered Product/Process Development to Simulation-Led Product/Process Development (D. Meffert, Caterpillar Inc.; Lvl: 1)Cultural Challenges
The Two-Year-Old Revolution at the RevolutionInSimulation.org Community – Status and Next Steps (M. Panthaki, ARAS Corporation; Lvl: )Cultural Challenges
An Update from the ASSESS Initiative (J. Walsh, intrinSIM LLC; Lvl: 2)Cultural Challenges
Application of a Verification and Validation Framework for Establishing Trust in Model Predictions (J. Hartl, Purdue University; Lvl: 2)Cultural Challenges
Utilizing SPDM to Democratize Complex Design Analysis and Generate Data Trends (J. Tyrus, Dana Holding Corporation; Lvl: 2)Data Management
Democratization of a Simulation Process Using a Workflow Engine and a SPDM Framework (N. Kasarekar, ESTECO North America, Inc.; Lvl: 2)Data Management
The World of Racing and the Need for Simulation Data Management (R. Leto, TotalSim LLC; Lvl: 2)Data Management
Implementing Simulation Governance & Democratization (S. Bhogle, Detroit Engineered Products; Lvl: 3)Democratization
Democratization of Simulation and Optimization Leads to Effective Decision Making at Cummins (K. Brittain, Cummins - STC; Lvl: 2)Democratization
The Case for Democratizing Simulation - Where Engineering Meets Dollars (S. Dewhurst, EASA Software; Lvl: 2)Democratization
Introduction of a Generic and Independent XML-based Physical Description Language “SMILE” (J. Rademann, Hochschule für Technik und Wirtschaft Berlin; Lvl: 2)Democratization
Northrop Grumman Creating a 20-Node Hexahedral Element Model: An Innovative Solution to an Old Problem (J. Pura, MSC Software; Lvl: 2)Democratization
Implementing Simulation Earlier in the Design Process (G. Westwater, Fisher Controls International LLC; Lvl: 2)Democratization
Using FEA, CFD, and Reliability Physics to Investigate Electronic Component Failure Behavior (T. Ferris, ANSYS; Lvl: 1)Electrical
Electro-Mechanical Collaboration for Board-Level Thermal Analysis: An Integrated Approach for Design Optimization (Y. Sigmen, MAYA HTT; Lvl: 1)Electrical
Optimizing Residual Thermal Stresses in High-Temperature Battery Cells (A. Ajdari, Exponent Failure Analysis Associates; Lvl: 3)Electrical
Battery Aging Prediction for a Real-World Driving Cycle (K. Illa, Siemens PLM Software; Lvl: 2)Electrical
Multiphysics Modeling: Electro-Thermal Analysis of a Permanent Magnet Synchronous Machine for Electrical Vehicles (K. Illa, Siemens PLM Software; Lvl: 2)Electrical
Electromagnetic Simulations for Antenna Design and Its Placement, RF Interference Analysis and Lightning Strike for Aerospace Applications (P. Jha, VIAS; Lvl: 3)Electrical
Design Challenges of Millimeter-Wave Beam-Steered Phased Array Transceiver for 5G Applications (L. Salman, ANSYS Canada Ltd.; Lvl: 2)Electrical
Enabling the Digitalization of Transformers (J. Wanjiku, Mentor Graphics, A Siemens Business; Lvl: 1)Electrical
System Level Electromagnetic and Thermal Co-Optimization for ECU Design (J. Liu, Cadence Design Systems, Inc.; Lvl: 2)Electrical
Reinvesting Cost Optimization Savings to Fuel Digital transformation (L. Cole, Open iT, Inc.; Lvl: 1)Engagement of Simulation Engineering Executives
Most Effective ROI Models for Simulation Applications: Answers from Research (C. Jackson, Lifecycle Insights; Lvl: 2)Engagement of Simulation Engineering Executives
ICME Software Panel & Discussion – Addressing 2040 Linkage and Integration Challenges (S. Arnold, NASA Glenn Research Center; Lvl: 2)Engineering Simulation Industry Standards & Best Practices
VMAP Presentation: Placeholder (T. Morris, NAFEMS UK; Lvl: )Engineering Simulation Industry Standards & Best Practices
The Effect of InfiniBand and In-Network Computing on CAE Simulations (O. Maor, HPC-AI Advisory Council; Lvl: 3)High-Performance Computing Infrastructure
Will the Cloud Ever Work for HPC? (R. Knoechel, Oracle; Lvl: 2)High-Performance Computing Infrastructure
Choosing Between Managed HPC Clusters and Cloud for CAE - Challenges and Opportunities (R. Mach, TotalCAE; Lvl: 2)High-Performance Computing Infrastructure
Reducing Physical Prototyping Via Real-Time Compliant Vehicle Dynamics Models (H. Kolera-Gokula, MSC Software Corporation; Lvl: 3)Multibody Simulation
A Multiphysics Approach to Fuel Assembly Distortion Modeling Using BISON (A. Casagranda, Idaho National Laboratory; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Performance Benchmark of Fully Coupled Multiscale Simulations Using MultiMech (H. Cornwell, MultiMechanics; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Development of Digital Model for Wind Turbine Design (S. Krishnan, ANSYS, Inc.; Lvl: 3)Multiscale & Multiphysics Modeling & Simulation
Corrosion Modeling using Multiphysics Computational Fluid Dynamics – From Ideal to Real Conditions (J. Mendez, Corrdesa LLC; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Combined DEM and FEA Approach for Process Simulation of Granular Media (S. Sarkar, ESSS; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
An Integrated Workflow for Modeling Fiber-Reinforced Plastics with Multiscale Material Models (Y. Shi, Dassault Systèmes SIMULIA Corp; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Simulation is Childs Play, Broken Toys Aren’t (R. Stupplebeen, Optimal Device; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Design and Prediction of Interface and Interphase Structural Performance through a Multi-Scale Simulation Approach (R. Sweat, Florida State University; Lvl: 2)Multiscale & Multiphysics Modeling & Simulation
Combined 3D Cyclic Symmetric and 2D Axisymmetric Simulation for Turbine Engine Systems (M. Lamping, Siemens Digital Industries Software; Lvl: 3)Multiscale & Multiphysics Modeling & Simulation
3D Modeling of Fuel Cells with a Complex Multi-Phase Approach: A Study on Geometry Influence. (C. Locci, Siemens Industry Software GmbH; Lvl: 3)Multiscale & Multiphysics Modeling & Simulation
Software Architecture and Hierarchy of the NASA Multiscale Analysis Tool (E. Pineda, NASA Glenn Research Center; Lvl: 1)Multiscale & Multiphysics Modeling & Simulation
Application of the NASA Multiscale Analysis Tool: Multiscale Integration and Interoperability (T. Ricks, NASA Glenn Research Center; Lvl: 1)Multiscale & Multiphysics Modeling & Simulation
Avoiding the Tipping Point: Using Quad-Physics to Optimize the Conveyance of a Fluid Product in Flexible Packaging (B. Ross, MotionPort; Lvl: 1)Multiscale & Multiphysics Modeling & Simulation
A Multi-Physics Approach to Predict High Frequency NVH in Oil Pump Drives (Y. Cheng, Ford Motor Company; Lvl: 2)NVH
Vehicle NVH Analysis Based on Loads from a Multi Body Simulation - An Integrated Solution (M. Herbst, BETA CAE Systems SA; Lvl: 3)NVH
Estimation of Material Properties of Noise Control Treatments from Random Incidence Transmission Loss Measurements (R. Raveendra, ESI North America; Lvl: 2)NVH
Multiphysics Finite-Element Modeling for Vibration and Noise of Variable-Speed Permanent Magnet Brushless DC Motor (H. Niu, ANSYS Inc.; Lvl: 2)NVH
Simulation-Driven Design of Physical Systems, Components & Products (P. Balu, Detroit Engineered Products; Lvl: 3)Optimization
Model Based Planning and Optimization on the Ultra-Efficient Dense Phase Transport of Rich Gas and LPG from Shale Gas Production (D. Cheng, Fluor Enterprises Inc; Lvl: 2)Optimization
Maximizing Eigenfrequencies of PCB (R. Helfrich, INTES GmbH; Lvl: 3)Optimization
Adjoint for Scale Resolving Simulation (T. Jadhav, Ansys India; Lvl: 2)Optimization
A Study to Compare Deterministic and Non-Deterministic Multi-point Optimization for Airfoil Shape Design Using Surrogate Models (T. Kanno, Purdue University; Lvl: 1)Optimization
Late Design Stage Optimization as an Important Task of the Product Development (G. Korbetis, BETA CAE Systems SA; Lvl: 2)Optimization
MAST: Multidisciplinary-Design Adaptation and Sensitivity Toolkit (D. Neiferd, Air Force Research Laboratory; Lvl: 2)Optimization
Automating CAD to CAE Preprocessing for Parametric Optimization Iterations (G. Roth, Siemens Digital Industries Software; Lvl: 2)Optimization
A Complete Framework for DOE Studies in Occupant Protection (N. Tzolas, BETA CAE Systems SA; Lvl: 3)Optimization
The Importance of Expensive Constraint Handling for Optimization Performance (G. Wang, Empower Operations Corp; Lvl: 2)Optimization
Design Optimization of CNG Vessels Transportation (Z. Wen, Esteco SPA; Lvl: 2)Optimization
Automation and Design Space Exploration for Improved ADAS Feature Performance (A. Bhivare, Ford Motor Company; Lvl: 2)Optimization
Concept Structure Engineering and Optimization (A. Iti, Dassault Systemes CATIA; Lvl: 1)Optimization
Combined Multi-Disciplinary Design Study and Structural Optimization Approach to Design Parts for Additive Manufacturing (O. Joshi, Vanderplaats Research & Development; Lvl: 1)Optimization
Optimizing Dynamic Mechanisms Using CAE: Best Practices to Select the Design Variables and Objective Functions (S. Kim, FunctionBay, Inc; Lvl: 1)Optimization
Design and Optimization of Cooling System Component for Enhanced Airflow (R. Mallyala, Dassault Systèmes; Lvl: 2)Optimization
Optimized Gun Barrel Based on Numerical Simulation to Produce Oil With Low BSW Content (U. Montañez Villamizar, PROCTEK SAS; Lvl: 2)Optimization
A Fast Method for Finite Element Crash Simulations (A. Van der Velden, Dassault Systèmes; Lvl: 3)Optimization
Digital Thread Based Verification Management Solution (G. Roth, Siemens Digital Industries Software; Lvl: 2)Product Performance Lifecycle (PPL) Support
Calculation of Rolling Resistance for Off-Road Vehicles and Its Impact on Real Time Energy Simulations (A. Shrimali, John Deere India Pvt Ltd; Lvl: 2)Product Performance Lifecycle (PPL) Support
Real Digital Twin for a Complex Process (A. Alizadeh, Front End Analytics LLC; Lvl: 2)Product Performance Lifecycle (PPL) Support
Novel Tool to Synthesize Variants from Existing Vehicle Platforms to Reduce Product Development Time (P. Balu, Detroit Engineered Products; Lvl: 3)Product Performance Lifecycle (PPL) Support
The Rise of the Digital Twin (S. Ferguson, Siemens Industry Software Computational Dynamics Ltd; Lvl: 1)Product Performance Lifecycle (PPL) Support
Simulation-Based Digital Twins for Improved Asset Operation and Maintenance Management (A. Jatale, ANSYS Inc.; Lvl: 3)Product Performance Lifecycle (PPL) Support
The Role of Analytics in the Digital Twin (G. Jones, SmartUQ; Lvl: 1)Product Performance Lifecycle (PPL) Support
Digital Twin Roundtable (E. Ladzinski, SMS_Thinktank; Lvl: 1)Product Performance Lifecycle (PPL) Support
A Coherent Digital Thread to Capture Content and Intent Across the Product Lifecycle - Where’s the Simulation? (M. Panthaki, ARAS Corporation; Lvl: 2)Product Performance Lifecycle (PPL) Support
Digital Twin – Its Maturity Levels and Related Impact on Business Maturity and Competitive Position (F. Popielas, SMS_Thinktank; Lvl: 2)Product Performance Lifecycle (PPL) Support
A Tool is Only as Good as the People Who Use It. CAE Training Program, Trend, Observations and Challenges (R. Zhao, ANSYS Inc.; Lvl: 2)Qualification of Simulation Personnel
Improving Stability and Performance of Flight Controls (C. Soussou, MAYA HTT; Lvl: 2)Real-Time Simulation
Simulation for Developing Autonomous Vehicles in Context of the Indy Autonomous Challenge (K. Ramaswamy, ANSYS, Inc.; Lvl: 2)Real-Time Simulation
An Effective Approach for Elimination of Scrap Accumulation in Mass Stamping Production of Sheet Metals (A. Camanho, ESI North America; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
An Introduction to Manufacturing Simulation (J. Huang, Ryobi Die Casting, USA; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
Leveraging the Equivalance of I1-J2 and p-q Space to Simulate Powder Compaction Process (K. Kartikeya, Ansys India; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
Numerical Prediction of Electrochemical Machining Processes Using Multiphysics Computational Tools (J. Mendez, Corrdesa LLC; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
Capturing Multi-Scale Response of Composites with Homogenization Techniques (V. Palaiokastritis, BETA CAE Systems SA; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
Using Spline-Based Structural Simulation for Higher Accuracy and Faster Computation Speed (P. Ressler, Coreform LLC; Lvl: 1)Simulation of Manufacturing Methodologies & Processes
Virtual Simulation of Coupled Weld-Rupture Analysis of Automotive Assemblies (Y. Gooroochurn, ESI North America; Lvl: 2)Simulation of Manufacturing Methodologies & Processes
The Value of Uncertainty! (A. Karl, Rolls-Royce Corporation; Lvl: )Stochastics
What Are the Chances of the Ship Snapping? Considerations When Using Probabilistic Analysis (A. Karl, Rolls-Royce Corporation; Lvl: )Stochastics
Unifying Design Engineering in the Stochastic Realm; Implications (J. Parks, Variability Institute; Lvl: 1)Stochastics
A Study of Structural Analysis for the Module of Pouch Type Battery, Including Swelling Effect (Y. Hahn, Dassault Systèmes SIMULIA Corp; Lvl: 2)Structural Analysis
CAE-Driven Accelerated Durability Test for Carbon Canister Bracket Assembly (P. Darbandi, Ford Motor Company; Lvl: 3)Structural Analysis
Using Vehicle Driver Population Variability to Identify Population Segments with Higher Injury Risk (N. Gaul, RAMDO Solutions, LLC; Lvl: 1)Structural Analysis
Next Generation Contact Analysis (R. Helfrich, INTES GmbH; Lvl: 3)Structural Analysis
Rubber Fatigue Analysis Using Load Reconstruction (T. Hunter, Wolf Star Technologies; Lvl: 2)Structural Analysis
Durability Analysis of Tires at High Speed (W. Mars, Endurica; Lvl: 2)Structural Analysis
Standing Waves in Tires at High Speed (G. Paudel, Dassault Systemes SIMULIA Corp; Lvl: 2)Structural Analysis
Impact Testing and Constitutive Modeling of PC for Failure Modeling (S. Teller, Veryst Engineering LLC; Lvl: 3)Structural Analysis
A Study of Rotational Impact in a Damper within an Automotive Torque Converter (Z. Yang, Valeo-Kapec NA; Lvl: 2)Structural Analysis
A Methodology for Finite Element Modeling Accurately Accounting for Case-Hardened Steel with Continually Varied Hardness Readings (Z. Yang, Valeo-Kapec NA; Lvl: 2)Structural Analysis
A Computer-Aided Engineering Method for Fan Blade Durability Assessment (V. Zamani, Ford Motor Company; Lvl: 3)Structural Analysis
Decreasing The Need For Prototyping By Taking A Coupled Approach To Complex Problems (J. Crist, EnginSoft USA; Lvl: 1)Systems Modeling & Simulation
System Simulation to Optimize Powertrain NVH (G. Festag, Ford Motor Company; Lvl: 2)Systems Modeling & Simulation
Placeholder: Systems Thinking Webinar Series Panel Discussion (M. Panthaki, ARAS Corporation; Lvl: )Systems Modeling & Simulation
0D and 1D Tools in Engineering Simulation – A Review (V. Soumoy, FLUIDS and C°; Lvl: 2)Systems Modeling & Simulation
Mission Focused MBSE (D. McCary, SAIC; Lvl: 1)Systems Modeling & Simulation
The Future of Performance Design with MBSE Approach Using the Example of an Electric Powertrain (T. Reimer, Dassault Systemes Deutschland GmbH; Lvl: 2)Systems Modeling & Simulation
Integrating Analysis with a Model-Based Feature Information Network (MFIN) (D. Seidensticker, MSC Software; Lvl: 1)Systems Modeling & Simulation
An Integrated Virtual Validation Approach for Advanced Front Lighting ADAS features (K. Zouani, Ford Motor Company; Lvl: 2)Systems Modeling & Simulation
Wear Modeling of Brake Pad Due to Friction & Heat Generation between the Contacting Surfaces (A. Chakraborty, VIAS; Lvl: 2)Thermal & Thermo-Mechanical Analysis
Automated Workflow for Reliability Analysis of Through Silicon Vias in 3-D Interconnects (K. Khan, Ansys India; Lvl: 2)Thermal & Thermo-Mechanical Analysis
Simulation Driven Design Under Temperature-Dependent Loading (N. Wagner, INTES GmbH; Lvl: 3)Thermal & Thermo-Mechanical Analysis
Leveraging Boundary Condition Independent Reduced Order Models (J. Wilson, Mentor Graphics; Lvl: 1)Thermal & Thermo-Mechanical Analysis
Thermal Effect on Headlamp Lighting Performance (I. Yavuz, ANSYS Inc.; Lvl: 2)Thermal & Thermo-Mechanical Analysis
An End-to-End Example of Verification, Validation and Uncertainty Quantification (R. Actis, ESRD, Inc.; Lvl: 2)Uncertainty Quantification
Accounting for Variability in NVH Design to Achieve Higher Customer Satisfaction (N. Gaul, RAMDO Solutions, LLC; Lvl: 1)Uncertainty Quantification
Uncertainty Quantification and Digital Engineering Applications in Design and Life Cycle Management (G. Jones, SmartUQ; Lvl: 1)Uncertainty Quantification
Uncertainty Quantification with Complex Data (G. Jones, SmartUQ; Lvl: 2)Uncertainty Quantification
Introduction to Probabilistic Analysis and Uncertainty Quantification (G. Jones, SmartUQ; Lvl: 1)Uncertainty Quantification
V&V 3D Fatigue Crack Growth Modeling: From Deterministic to Uncertainty Quantification Assessment (A. Loghin, Simmetrix Inc.; Lvl: 2)Uncertainty Quantification
Uncertainty Quantification and Probabilistic Risk Assessment for a Fleet of Layered Pressure Vessels (D. Riha, Southwest Research Institute; Lvl: 2)Uncertainty Quantification
Simulation-Led Design of Drug Delivery Systems (S. Gopal, Eli Lilly and Company Technology Center; Lvl: 3)Verification & Validation
Using Statistical Calibration for Model Verification and Validation, Diagnosis of Model Inadequacy and Improving Simulation Accuracy (G. Jones, SmartUQ; Lvl: 1)Verification & Validation
Assessing Computational Model Credibility Using a Risk-Based Framework: Application to Tibial Tray Component Strength (L. Knudsen, Syncroness; Lvl: 2)Verification & Validation
Statistical Model Validation & Calibration for Virtual Product Design (J. Shin, RAMDO Solutions, LLC; Lvl: 1)Verification & Validation
Dynamic CT and Opportunities for Advancement of Validated Modeling & Simulation (J. Topich, Kinetic Vision; Lvl: 3)Verification & Validation
Narrowing the Simulation – Test Gap with Statistical Calibration (G. Jones, SmartUQ; Lvl: 1)Verification & Validation
An Industry Workflow to Integrate Simulation Data into a Unity Application (T. Cline, Honeywell Federal Manufacturing & Technologies; Lvl: 1)Virtual & Augmented Reality