The aerospace sector develops some of the most highly engineered and complex systems on earth. These diverse set of systems have a multitude of performance requirements and need to operate flawlessly under long and harsh environments. This is a highly regulated sector with OEMs and their supply chain having to proof flight worthiness to regulatory authorities.
Data Driven models require Big-Data to perform well which is expensive, complicated to manage and in some cases difficult or impossible to get. However, PIMLᵀᴹ technology integrates physics and Machine Learning requiring only Small-Data.
Patent Pending Physics Informed Machine Learning (PIML™) Surrogates: Have greater blind tested predictive accuracy than data-driven machine learning methods, Require significantly less data to train than data-driven machine learning methods, Provide greater insight into the underlying dynamics of the system than data-driven machine learning methods, Have been validated for a variety of complex problems
Market trends push for increased product digitalization. These trends include: Customer buying outcomes & experiences rather than products, AI has enabled the design of intelligent product that can tune their behavior to the required operating environment, There is a desire to move from “big data” to algorithms capable of handling the “small data” problems.
Digital twins most important mission may be to keep the human species alive long enough at the start of a pandemic virus that is highly lethal, very transmittable, and with long periods of asymptomatic transmission.
From the CAASE 18 conference, Front End Analytics' Juan Betts discusses implementation of Democratized Simulation in large and complex organizations.
Front End Analytics and ASDL will leverage their capabilities in digital twins, system design & simulation, advanced engineering methods, machine … Continue reading Partnership Between Front End Analytics and Georgia Tech’s Aerospace Systems Design Laboratory
Clarkesville, GA ASSESS Initiative, a broad reaching multi-industry initiative to facilitate a revolution of enablement that will vastly increase the … Continue reading ASSESS Initiative Announces Front End Analytics as a Gold Sponsor of the ASSESS 2019 Congress and the ASSESS Initiative
New Simulation Community-Driven Portal Provides a One-Stop Resource to Support Movement to Democratize Simulation MAY 30, 2018; USA – Today, … Continue reading RevolutionInSimulation.Org Public Web Portal Launched to Support Simulation for Everyone
This paper showcases the development of a fast running and highly predictive fatigue failure surrogate model based on data obtained from simulation runs of a complex mechanical system. The goals for the surrogate model were to create a Simulation Democratization tool for design exploration and a Digital Twin tool for field predictive maintenance and adaptive controls.
Take anyone’s prediction of the most important technology for this new decade and artificial intelligence or AI will be high on the list. However, until now most AI has been applied at predicting human behavior, interactions, and sensibilities.
Learn how a Pitman Arm Smart Generator process was reduced from 2 weeks down to only a few hours with a fit for purpose app.
Hear from Glenn Valine on his efforts to democratize CAE at GKN Driveline. Lessons learned include: How to make SPDM & Democratization a part of the approach to augment simulation opportunities, identify the new and important role for the engineer analyst, prepare for organizational change, and more.
