Predictive Engineering Analytics

Predictive engineering analytics is the application of multidisciplinary engineering simulation and test with intelligent reporting and data analytics, to develop digital twins that can predict the real world behavior of products throughout the product lifecycle. Predictive engineering analytics includes both the tactics and tools that manufacturers can leverage to expand traditional design verification and validation into a predictive role in support of systems-driven product development. The ultimate goal of implementing a predictive engineering analytics strategy is to deliver innovation for complex products faster and with greater confidence.

Predictive engineering analytics represents the next evolution of product development processes which currently rely on independent workflows in computer-aided engineering (CAE) and testing. Predictive engineering analytics addresses the complex nature of today’s products and product development environments, which combine mechanical functions with electronics, software and controls. It integrates different technologies including 1D simulation, 3D simulation covering computational solid mechanics (CSM) and finite element analysis (FEA), computational fluid dynamics (CFD), and multibody dynamics, controls, physical testing, visualization, multidisciplinary design exploration, and data analytics in a managed context to support the engineering and development of complex systems.

In a predictive engineering analytics approach, the availability of sensor-based data combined with high-fidelity, physics-based simulations allows manufacturers to build and maintain digital twins of the product and to keep them in-sync with the product in use. That is of crucial importance to making more useful and realistic predictions of product performance that will enable these products to adapt to changing usage conditions, extend their useful life, and accommodate product degradation.

Benefits of Predictive Engineering Analytics

Implementing a predictive engineering analytics strategy helps you:

  • Deliver multi-fidelity models that are as close to reality as possible for each stage of development
  • Choose the best concepts and system architectures to carry forward in development
  • Implement faster simulation processes needed to drive design
  • Effectively balance multi-disciplinary requirements
  • Keep models in-sync with the actual product in use so the simulations are more realistic
  • Leverage simulation and test approaches in concert to gain greater confidence in meeting requirements
  • Use data analytics combined with physics-based simulations to gain insights and drive innovation

Predictive Engineering Analytics Software

Simcenter uniquely combines 1D system simulation, 3D CAE, and test with multi-disciplinary design exploration to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you look at information more holistically to engineer the best performance and deliver innovations with greater confidence.

The Simcenter portfolio includes the following applications to help you achieve predictive engineering analytics:

HEEDS® MDO automates the simulation process and explores the design space. With revolutionary search strategies available only in HEEDS, you can uncover new design concepts that improve products and significantly reduce development costs.

LMS Virtual.Lab is an integrated suite of finite element and multi-body modeling software which simulates real-life performance of mechatronic systems. Engineers are enabled to quickly build complex models and optimize for structural integrity, acoustics, vibration, system dynamics, and durability, as well as the correlation between simulation and test models.

LMS Samtech Samcef is a finite element solver suite to simulate critical performance engineering attributes for mechanical systems. It is tailored to cover precise requirements in areas such as wind turbine development, rotor dynamics, structural and thermal analyses, and composites.

LMS Imagine.Lab is the ideal solution to drive virtual, intelligent system design all along the design cycle. It offers all the necessary tools to create, manage, and use models and data, answering various model-based system engineering needs. It effectively deals with the specific challenges associated with mechatronic system simulation.

LMS Test.Lab is a complete, integrated solution for test-based engineering, combining high-speed multi-channel data acquisition with a full suite of integrated analysis tools, including many modal parameter estimation methodologies. Designed to make testing more efficient, LMS Test.Lab increases productivity and delivers more reliable results.

NX Nastran is a finite element solver that analyzes stress, vibration, structural failure/durability, heat transfer, noise/acoustics and flutter/aeroelasticity.

Simcenter 3D delivers a unified, scalable, open and extensible environment for 3D CAE with connections to design, 1D simulation, test, and data management. Simcenter 3D speeds the simulation process by combining best-in-class geometry editing, associative simulation modeling and multi-discipline solutions embedded with industry expertise. Fast and accurate solvers power structural, acoustics, flow, thermal, motion, and composites analyses, as well as optimization and multi-physics simulation.

STAR-CCM+ is a stand-alone simulation solution for computational fluid dynamics (CFD), computational solid mechanics (CSM), heat transfer, particle dynamics, reacting flow, electrochemistry, electromagnetics, acoustics and rheology.

Teamcenter Simulation Process Management solution is a module of Teamcenter that is specifically designed to help organizations get control of their simulation data and processes in the context of an overall product lifecycle management (PLM) system.

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