Big Data Moscow 2018

 

Pavel Bruk

ANSYS, Russia

BIO

Pavel has been working in the software industry for more than 22 years with involvement in many sales, business development and consulting projects and activities for different customers worldwide. During the career he has been focused on CAD/CAM/CAE, PLM, ERP systems, information and digital assets management. Since 1999 he has been involved into strategic business development, channel management and sales activities for a number of large software vendors from Fortune 500 list. 
Nowadays, Pavel Bruk is working at ANSYS in the position of Regional Sales Director for Russia/CIS and Nordic countries. He is responsible for Systems Business Unit software solutions, such as embedded software development tools, functional safety and reliability applications and digital twin concept.
Additional to this he is a docent in Moscow Aviation Institute, an author of many information management-related articles in international industrial magazines, online media and conceptual research works in CAD, PLM and BIM areas. He owns certificates in several different areas, such as Business Process Assessment, Design For Six Sigma (DFSS) Green Belt, Lean design and manufacturing.

TOPIC

Simulation-Driven Digital Twins

One of the newest and most exciting frontiers in simulation is the concept of digital twins. By using product-mounted sensors, companies can collect operating data from the field in real time, and use that information to create an exact replica of the working product in a controlled virtual space. By studying how the simulated product model performs under real-world conditions, companies can flag any performance issues, schedule predictive maintenance, reduce downtime and minimize warranty expenses. While this is an attractive proposition, most businesses have been challenged to implement this best practice within their own operations due to the specialized expertise and cross-functional partnerships required.
What exactly is a digital twin? It is a simulated model of an actual working product in the field, informed by sensors mounted on the product that gather and feed back real-time, real-world operating data. By studying the digital twin under actual working conditions, for the first time companies can see the product in action, over time, when subjected to the physical environment. This allows the product development team to close the loop on its initial simulations. Engineers can make more informed choices for future designs and make their simulations even more accurate.

Date: October 11, 2018