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MDAO Lessons-Learned and Best Practices

MDAO models have evolved through the year to incorporating additional disciplines, and beyond. This reflects MDAO's critical role in reducing technical risk, ensuring first-time quality, and supporting Model-Based Engineering.

Learn best practices and lessons-learned from Boeing's development and application of MDAO models.

TIME:
August 6, 2024
11:00 AM EST

Venue:
Virtual

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Overview

MDAO models for Conceptual Design have evolved over the years from being first focused on Flight centric lower-order analysis codes (e.g. Geometry, Mass Properties, Aerodynamics, Propulsion, Aero-Performance), to the coupling of additional disciplines (e.g. affordability, structures, subsystems, mission effectiveness) at varying levels of fidelity.  This expansion in capability has followed the successful adoption of MDAO as an accepted and now expected part of the normal vehicle design process, and recognition of MDAO as a critical enabler for reducing program technical risk, delivering first-time quality, and Model-Based Engineering. 

This presentation will focus on best practices and lessons-learned from both the development of MDAO models and the application of MDAO on programs within Boeing.

What you will learn

  • Best Practices on development of MDAO models
  • Lessons-Learned on application of MDAO on programs within Boeing

Who should attend

Anyone interested in learning or practicing MDAO

 

Speakers

Alex Carrere, Configuration Design Engineer, Boeing
Alex Carrere is a Senior Multidisciplinary Design Analysis and Optimization (MDAO) engineer in Boeing Research and Technology (BR&T) focused on developing, tailoring, and applying a wide variety of MDAO models to design advanced platforms. He was the MDAO study lead on variety of derivative and clean sheet vehicle design projects that include T-7A, MQ-25A, X-65, Blended Wing Body and missiles. He is the Program Manager of the Boeing-NASA MBSA&E contract focusing on developing industry standards for data storage and data exchange in MDAO and MBSE.