AI For Product Design Optimization in Aircraft Systems

Overview

In this focused webinar, we will discuss how AI techniques can be used to better a product’s design while working in a multi-disciplinary system.

• Often times, an aircraft sub-system design has to meet multiple design objectives, and it becomes challenging to manually execute trade studies and optimize the design in such a way that all the design requirements are satisfied in quick time.
• With a propulsion system example, we will deep dive into the workflow for low-code reduced order modeling for replicating the physical system response, and further generating a design space for a multi-parameter driven multi-objective system while using data from numerical simulation results.
• We will further learn about how to build design-of-experiments for carrying out trade studies, leverage AutoML capabilities of MATLAB to get an accurate AI model, run multi-objective optimization using AI models and, effectively visualize a design space map.
• Also hear from our Industry expert Mr. Bimal Raj share his rich insights on this topic

About the Presenter

Peeyush Pankaj| Sr. Application Engineer | MathWorks

Peeyush is a senior application engineer at MathWorks, where he promotes MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twins, enterprise integration, and big data. Peeyush has over 11 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he worked on aircraft engine design, testing, and certification. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines.

Mukesh Prasad | Application Engineer | MathWorks

Mukesh Prasad is a Principal Application Engineer in MathWorks India and enables engineers & scientists to adopt Model-based Design workflows. He closely works with customers in Aerospace & Defence industry to help them use MATLAB® and Simulink® products for control system design, multi-domain physical modeling, production code generation, test automation and software verification & validation. Mukesh has over 17 years of experience in jet engine control and flight control systems. Prior to joining MathWorks, Mukesh worked as Systems Specialist with Moog India, where he gained hands-on experience in Model-Based Systems Engineering (MBSE) and Test Equipment Design for aircraft applications. He started his career as Scientist at Gas Turbine Research Establishment (GTRE), one of the labs of DRDO, and worked on aircraft engine control design, testing, and certification using model-based design workflows. Mukesh holds a master’s degree in mechatronics engineering from NIT Surathkal while bachelor’s degree in mechanical engineering from NIT Kurukshetra