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Predictive Engineering Analytics Series - Part 1

Track: Business Process Connection

Session Number: 170697
Date: Thu, May 11th, 2017
Time: 9:30 AM - 10:00 AM
Room: 111-112

Description:

Be sure to add Predictive Engineering Analytics Series Parts 1-6 to your agenda to make the most of the full day series.

Siemens Simcenter strategy for Predictive Engineering Analytics

This session focuses on Siemens Simcenter strategy for Predictive Engineering Analytics. This strategy is based on the following key concepts: 1) predictive, meaning to be able to transition systematically from simulation that verifies designs to model based approaches that predict behavior, optimize designs and address integration and cross discipline issues early in the program cycle when changes to designs are least costly, 2) engineering, meaning that we focus on holistic engineering objectives that address a product’s functional requirements, and 3) analytics – using multi-physics, multi-attribute, and multi-discipline approaches, and incorporating big data analytics and field knowledge into the engineering process. We will address these topics, provide a Simcenter Portfolio overview, and review a process demonstrator showing systematic connectivity of simulation and data through a program life cycle.

Sub-Categorization: Predictive Engineering Analytics
Session Type: Interactive Lecture

Related Industry: All Industries
Learning Objectives: TBD
Sub-Categorization: Predictive Engineering Analytics
Session Type: Interactive Lecture

Related Industry: All Industries
Learning Objectives: TBD