Aerospace Simulation Engineering – LOTAR EAS, International Standards and How They Relate to the Digital Transformation

This presentation was made at NAFEMS UK Conference 2018, "Taking Engineering Analysis and Simulation to the Next Level".

The NAFEMS UK Conference 2018 brought together all those involved in analysis and simulation from every corner of industry and academia, giving them an opportunity to advance their knowledge, give their organisations a competitive advantage, and a chance to be part of improving the technology itself.

Resource Abstract

The LOTAR International EAS WG continues its ongoing efforts to communicate with users and software developers about progress towards supporting the need for LOTAR and management of EAS data.

The case will be made that LOTAR of EAS data, use of international standards for data interchange for analysis and simulation data and laying the groundwork for their use in science and engineering will aid in advancing the use of computer-aided analysis and simulation.



1: Standards for data interchange is the thread that connects the system of systems

The themes at CAASE18 cover topics that are relevant to a discussion of LOTAR of EAS data (modelled on the Open Archival Information System - OAIS) (CCSDS, 2012), efforts to encourage development of commercial off-the-shelf (COTS) ISO STEP AP209 ed2 (ISO TC 184/SC 4, 2014) translators and establishing best practices for LOTAR and data management.

Standards for data interchange facilitate the planning of computer-aided engineering (CAE) strategy and tactics as part of a simulation governance policy. In addition, it lays the groundwork for collaboration between all disciplines that are engaged in the lifecycle of product development, especially in the context of the “digital thread” that connects them as a system of systems as shown in Figure 1.



Figure 1- "digital thread" with ULG lifecycle



2: The digital transformation will yield dividends for years to come

This connectivity enables its users to enjoy many benefits of using well-defined data models to capture input, context and results such as: process and knowledge capture, verification and validation; quality assurance; integration; data management; etc. as shown in Figure 2.



Figure 2- CAE interoperability with AP209 ed2



It also breaks down barriers to the democratization of analysis and simulation, if sufficient effort is expended to:

• Understand the design requirements

• Define requirements for analysis and simulation methods to model the physics required to meet the design requirements

• Collect input from the best available and appropriate sources to meet those requirements

• Verify the validity of this collection of requirements, methods, input and the simulation results

• Preserve the pedigree of these data (requirements, methods, input and results)

The resulting outcome of such efforts facilitates sharing, learning and advancing computer-aided analysis and simulation.

3: Digital transformation will meet future challenges proactively with data-driven decisions based on simulations that adapt to change

The LOTAR EAS WG and related work are aligned with the theme of “Navigating the Digital Thread”. Well-managed methods, input and results from engineering analysis and simulation give businesses the ability to manage a valuable resource to assist decision-making in support of its strategies.

With facts and data, it becomes possible to quantify the benefit of using computer-aided analysis and simulation. A product that demonstrates superior performance at a marketable cost, that was predicted in advance, using reliable and repeatable processes that can be continuously improved, can change a company’s ability to compete in the global economy.

Facts and data can defeat fear and ignorance that evolve in business cultures after previous attempts at automating or standardizing processes have failed. An open and transparent “digital thread” can unlock potential, moderate risk and improve the bottom line.

If that “digital thread” is built on a system of non-proprietary data interchange standards, the ability to migrate or morph a company’s culture of product development and lifecycle management to fit new and improved processes becomes reality. Removing barriers to change can make us nimble and able to adapt.



REFERENCES

CCSDS, 2012. Reference Model for an Open Archival Information System (OAIS), Recommended Practice, Issue 2, Washington: Secretariat, The Consultive Committee for Space Data Systems (CCDS).

ISO TC 184/SC 4, 2014. ISO 10303-209:2014(E) "Industrial automation systems and integration -- Product data representation and exchange -- Part 209: Application protocol: Multidisciplinary analysis and design", Geneva: International Organization for Standardization.

Document Details

ReferenceC_Jul_18_UK_2
AuthorDraper. J
LanguageEnglish
TypePresentation
Date 18th October 2018
OrganisationThe Boeing Company
RegionUK

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