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Agenda

 

A CIMdata Simulation & Analysis Knowledge Council Workshop

April 29 & 30, 2015
The Caterpillar Visitors Center
110 SW Washington Street
Peoria, Illinois 61602

Agenda Outline
Wednesday, April 29 (2:00 p.m. - 8:00 p.m.)
  • 2:00 p.m. – 4:00 p.m. | Networking Tour of The Caterpillar Visitors Center
  • 4:00 p.m. – 4:30 p.m. | Welcome and Introductions
    Dr. Keith Meintjes, Simulation & Analysis Practice Manager, CIMdata [Bio]
  • 4:30 p.m. – 5:15 p.m. | Product Development: Keys for Success
    Dr. Lou Balmer-Millar, Director of Research & Advanced Engineering, Caterpillar, Inc. [Bio]
    The future holds many exciting challenges for industry. Globalizing markets, difficulty finding talent, and rapidly changing technology all create challenges for companies as they continue to build shareholder and customer value. Lou Balmer-Millar will discuss some of the keys to successfully developing products to meet these global challenges, turning them into opportunities for long-term success.
  • 5:15 p.m. – 5:30 p.m. | Status & Plans for CIMdata's Simulation & Analysis Knowledge Council
    Don Tolle, Director, Systems Engineering & Simulation Consulting Practice [Bio]
    The role of the CIMdata Simulation & Analysis Knowledge Council (S&A Council) is to advance the effective use of physics-based modeling and simulation technologies throughout the entire product development life cycle. The Council focuses on issues related to organizational process change as well as emerging related technologies such as Simulation Process and Data Management. The CIMdata S&A Council is open to both industrial and solution provider participants, through corporate sponsorships or individual memberships.In this session, we will briefly discuss current efforts of the S&A Council and highlight focus areas for future research.
  • 6:00 p.m. – 8:00 p.m. | Join CIMdata for an Informal Networking Dinner @ The New Amsterdam
Thursday, April 30 (8:00 a.m. - 2:30 p.m.)
Morning Session - Thursday, April 30, 2015
  • 8:00 a.m. – 8:30 a.m. | Registration and Continental Breakfast
  • 8:30 a.m. – 8:40 a.m. | Welcome and Introduction
    Dr. Keith Meintjes, Simulation & Analysis Practice Manager, CIMdata [Bio]
  • 8:40 a.m. – 9:25 a.m. | Simulation Capability Metrics - A Quantitative Approach
    Mary Fortier, Engineering Group Manager, General Motors [Bio]
    Dr. Ramesh Rebba, Senior CAE Engineer, General Motors [Bio]
    Simulation and analysis processes are now a standard part of the automotive industry—from suppliers to OEMs. Access to high performance computing facilities, IT infrastructure, and process automation are driving productivity gains in CAE throughput. Analysts are able to simulate variation in system behavior for robust design through application of DFSS principles. Despite these recent advances, many engineering decisions may not involve direct CAE feedback due to the perceived risks associated with using model predictions to validate that the design meets the requirements. The CAE community often does not provide a quantitative confidence level related to the simulation back to the customer. Recently, guidelines have been developed by ASME, AIAA etc., for Verification and Validation of computational models. In this talk, the speakers will present the business opportunities for companies in quantifying simulation capability. Statistical methods to characterize uncertainties in both experimental and simulation outcomes will be discussed. Case studies from the automotive industry will be presented to illustrate the use of validation metrics along with recommendations for CAE analysts and customers.
  • 9:20 a.m. – 9:55 a.m. | The Future of CAE Governance
    Michael Hughes, Modeling and Simulation Services Manager, Cummins [Bio]
    At Cummins, the next generation of modeling and simulation is fast approaching. Generation 1 was termed “ALD” or “Analysis Led Design.” During this time period Cummins improved their analysis tools, processes, and skillsets. The next phase requires a new governance structure and a more integrated approach to performing the work. Tools, data, processes, and people must interact in a different way to enable more optimization and model data uncertainty/quality. This presentation will cover foundational elements around governance and the related framework required to enable this next phase of modeling and simulation at Cummins.
  • 9:55 a.m. – 10:25 a.m. | Networking Break
  • 10:25 a.m. – 11:00 a.m. | The Importance of SPDM & Interoperability within the System Modeling and Simulation Framework
    Frank Popielas, Senior Manager for System Engineering (SE) and CAE, Dana Holding Corporation [Bio]
    System Modeling and Simulation (SMS) is becoming the center of a modern engineering company with a fully integrated, front-end driven, optimized engineering ecosystem. Due to the complex nature of this environment new infrastructures and principles are needed to enable such an ecosystem. Since we are talking about a mainly virtual-driven approach the amount of computer-generated data is increasing exponentially. Computer Aided Engineering (CAE) is very common nowadays. But we are pushing virtual tools far beyond just CAE experts and domains. We are talking about systems, system-of-systems, internet-of-things. This requires new management systems, like simulation process and data management, in order to be able to track and trace, collaborate and store information and IP, automate routines, etc. At the same time, collaboration and democratization not only means sharing but interactive working on all engineering levels real-time. This needs to happen not just within a company but even more so between companies to enable a true fully integrated, front-end driven, optimized engineering. Technologies, like FMI (Functional Mockup Interface) play a central role. In this presentation this new ecosystem will be discussed in detail, what hurdles need to be overcome, and how the companies and end users will benefit from it.
  • 11:00 a.m. – 12:00 p.m. | Panel Discussion: Simulation at the Leading Edge
    Moderated by Dr. Keith Meintjes, Simulation & Analysis Practice Manager, CIMdata [Bio]
    – Venkat Parameshwaran, Vice President, Enterprise Products, Altair Engineering [Bio]
    – Dr. Todd McDevitt PE, Director, Corporate Marketing, Mechanical Products, ANSYS [Bio]
    – Mark Bohm, Senior Director, SIMULIA Sales, Americas, Dassault Systèmes [Bio]
    – Fadi Ben Achour, Vice President, ESI Group [Bio]
    – Dr. Hubertus Tummescheit, CEO, Modelon Inc. [Bio]
    – Patrick Farrell, Senior Marketing Manager for Simulation, Siemens PLM Software [Bio]
     
  • 12:00 p.m. – 1:00 p.m. | Networking Over Lunch
Afternoon Sessions – Thursday, April 30, 2015
  • 1:00 p.m. – 1:35 p.m. | Sandia Analysis Workbench, Enabling Advanced Modeling & Simulation Technologies
    Ed Hoffman, Senior Principal Software Engineer, Sandia National Laboratories [Bio]
    Numerous R&D teams at Sandia National Laboratories (Sandia) develop in-house codes for problem setup and computational simulation in multiple physics and engineering domains. These actively developed codes are continuously evolving with advances in state-of-the-art computing and algorithmic research, and require on-going user training in order to have impact on Sandia’s simulation-driven engineering programs. The Sandia Analysis Workbench (SAW) is a comprehensive desktop modelling application that provides an integrated interface to many of these advanced codes, and improves their ease-of-use by providing a common look-and-feel, contextual information and tools that simplify and streamline common operations. Built on the Eclipse application framework, SAW provides a base set of generalized services that include job submission for running simulations on Sandia’s high performance computing clusters, and simulation data management (SDM) for sharing and archiving files in a corporate PDM with contextual provenance. Domain specific capabilities are implemented in SAW as Eclipse plugins, including a powerful geometry processing and meshing toolkit (Cubit), model assembly tools for a wide range of physics codes, and results visualization applications. Because we must integrate a wide variety of codes on a large number of compute platforms, we use a component-based, data-driven approach in which tools and resources are treated generically and customization is handled as much as possible by configuration files. This approach allows SAW to stay in sync with a continuously evolving set of codes and platforms, and for developers to concentrate on specific areas with high value for the end user. While many of the codes integrated into SAW have scripting capabilities, overall sequencing of code execution – or workflow -- has until now been handled interactively. Operations like meshing, job submission, and post processing are invoked as distinct user gestures. While this is appropriate for the initial creation and execution of a model, automated workflow is required for subsequent executions that allow users to efficiently explore, understand and optimize models. Recently, Sandia began to modify the SAW architecture to (1) recast interactive user gestures as nodes in an explicit workflow graph, (2) incorporate a third party workflow engine, and (3) provide an interface to another specialized Sandia code called DAKOTA, a powerful package of methods for optimization, uncertainty quantification, parameter estimation and sensitivity/variance analysis. These modifications will enable validation, verification, and uncertainty quantification (V&V/UQ) activities by allowing combinations of SAW components to be used for repeatable, automated executions of parameterized models with minimal user effort.
  • 1:40 p.m. – 2:20 p.m. | Simulation governance: An idea whose time has come
    Dr. Barna Szabo, Co-Founder and President, Engineering Software Research and Development, Inc. [Bio]
    There are substantial economic incentives to reduce reliance on physical testing and increase reliance on numerical simulation: Testing is expensive and time consuming and the results of physical experiments are tied to the specific conditions under which they were performed. Testing without a properly formulated plan on how the results will be interpreted and generalized makes no sense. Reliable generalization of test results is possible through numerical simulation. Simulation is the imitative representation of the functioning of one system or process by means of the functioning of another. In this presentation the functioning of mechanical and structural systems and their imitative representation by mathematical models will be addressed. Simulation governance is the exercise of command and control over all aspects of numerical simulation. This involves selection and adoption of the best available simulation technology, the formulation of mathematical models, the management of experimental data, the verification procedures, standardization of recurring simulation tasks and the revision of mathematical models in the light of new information collected from physical experiments and field observations.
  • 2:20 p.m. – 2:30 p.m. | Closing Comments
    Dr. Keith Meintjes, Simulation & Analysis Practice Manager, CIMdata [Bio]
    Summary of main workshop takeaways and next steps.

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