ASME V&V Symposium 2015 Program

Brentwood, TN May 7, 2015 – Dr. Sanjeev Kulkarni, Vice President of Sales & Business Development of VEXTEC Corporation, will be presenting at the fourth annual ASME Verification & Validation Symposium in Las Vegas, NV on May 15, 2015.  The symposium, which runs from May 13 – 15, 2015, is entirely dedicated to verification, validation and uncertainty quantification (VVUQ) of computer simulations bringing together the foremost experts to exchange ideas and methods around for verification of codes and solutions, simulation validation and management of uncertainties in mathematical models, computational solutions and experimental data. Dr. Kulkarni is also chairing two sessions in the symposium, Validation Methods for Solid Mechanics and Structures (May 13) and Validation Methods for Impact, Blast, and Material Response (May15).

Dr. Kulkarni will be presenting, “VVUQ of Computational Modeling and Simulation Software To Predict The Durability Of Medical Devices”  which will discuss VEXTEC’s system reliability method and software, called Virtual Life Management® (VLM®). The VLM software considers the uncertainty of model parameters and acquired data to serve as a framework to incorporate realism with multi-scale statistical characterization using probabilistic and parallel computational simulation techniques.  The model itself, called a Virtual Twin®, characterizes parametric design sensitivity and uncertainty; both factors included in the proposed ASME V&V 40 Standard for Medical Devices. The talk will make that connection between VLM and ASME V&V 40.

The Virtual Twin, successfully implemented across multiple industries, starts with the initial preliminary design where it supports verification and validation activities and then is refined as the device moves through the detailed design, manufacturing, testing, launch and post market segments of the product life cycle. At any phase of the life cycle, the model considering uncertainty of any or all of the inputs to prognosticate the probability of device success in the future phases of the life cycle.

Founded in 2000, VEXTEC Corporation has developed patented technology on virtual material modeling and predicting product durability. As a senior strategic member of VEXTEC’s Leadership Team, Dr. Kulkarni leads commercial Sales & Business Development with a focus on Healthcare/Life Sciences/Medical Devices and Strategic Alliances. Dr. Kulkarni is an industry recognized leader and expert in Computational Mechanics and Computer Aided Engineering, and has supported many industries (Automotive, Aerospace, Defense, Energy, Consumer Products and Medical Devices) and in a variety of roles that include 5 years with Boston Scientific (as R&D Fellow), 10 years with KB Engineering (as President) and 6 years with TRW Automotive (as Principal Engineer).

Dr. Tryon, who has spoken at previous medical device conferences, will discuss the use of VEXTEC Virtual Life Management^®(VLM^®) simulation software in determining and improving product reliability. The presentation entitled “Computational Models to Predict the Structural Reliability of Aerospace Systems” will detail three VLM cases from the aerospace industry, which has a similar risk profile to the medical device market.  These examples involve a helicopter turbine wheel, an aircraft engine fan blade, and an auxiliary power unit of a commercial airliner.

The second presentation reflects a technical collaboration with Boston Scientific Corporation, Inc. The presentation, “Using Probabilistic Computational Durability Modeling and Simulation to Create a Virtual Design of Experiments Based on Limited Laboratory Tests”, will be presented by Dr. Sanjeev Kulkarni, R&D Fellow at Boston Scientific. Dr. Kulkarni participated in the collaborative program and applied the results to BSCI products. The presentation covers the use of VLM computational models to accurately simulate statistically large populations of medical devices.

The third VEXTEC presentation will be given by Dr. Animesh Dey who is a recognized expert in the field of Uncertainty Management. Dr. Dey’s presentation entitled “Confidence Estimates Due to Uncertainty in Multi-Disciplinary Computational Analysis”, details methods to propagate and manage the uncertainty in the computational models themselves as well as the data and information used as input into the models.

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