Hi,
The recording of this session is available here:
Passcode:
$5iH7?c5
Best,
Lynn
From: Hegewald, Lynn P
Sent: Friday, March 31, 2023 8:02 AM
To: ecepostdocs-list@ecn.purdue.edu; ecefaculty@ecn.purdue.edu; ececourtesy-list@ecn.purdue.edu; ecegradstudent-list@ecn.purdue.edu
Subject: RE: Seminar: Prith Banerjee, CTO Ansys, on Digital Twins, 3/31
Please join us for the following seminar – this morning:
Seminar: Digital Twins
Prith Banerjee, CTO Ansys
Friday, March 31, 2023, 9:30 AM ET
Abstract: Various industries, such as manufacturing, energy and utilities, automotive, aerospace and defense, logistics and transportation, and building management, have proposed the use of digital
twins to aid the design, analysis, build, manufacturing and operations phases of asset-intensive industries. Digital twins have a physical asset, a virtual asset (a simulation model of the asset), and a two-way information flow between the physical and virtual
worlds using an IOT platform. While most companies use data-based analytics and machine learning to build digital twins, they require a lot of training data, and the accuracy is limited to the observed data. Some industries have started using physics-based
simulation to build digital twins, and while these approaches are accurate, they require long computation times to deploy. Most recently, companies are using hybrid approaches, combining data-based analytics and physics-based approaches, to build these digital
twins that are very accurate and require less training data and drive high operational efficiency of assets and process industries and manufacturing plants. In this talk, we will discuss the challenges and opportunities of digital twins in various industries
and the latest research approaches.
Full details attached.
Lynn Hegewald
ECE Master's Program Manager
Elmore Family School of Electrical and Computer Engineering
Office: 765-496-3476
