B15
SDM 6

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08:35
conference time (CEST, Berlin)
SPDM Introduction in Airbus Helicopters in Frame of DDMS Initiative
28/10/2021 08:35 conference time (CEST, Berlin)
Room: B
L. Fine, T. Berthelon (Airbus Helicopters, FRA); B. Garat (Dassault Systèmes, FRA); G. Neveu (Digital Product Simulation, FRA)
L. Fine, T. Berthelon (Airbus Helicopters, FRA); B. Garat (Dassault Systèmes, FRA); G. Neveu (Digital Product Simulation, FRA)
In the frame of Airbus Group project DDMS (Digital Design Manufacturing and Services), Airbus Helicopters is progressing on definition and implementation of a transverse SPDM (Simulation and process Data Management). Preliminary analysis highlighted that deployment of an SPDM solution, according to Airbus Helicopters constraints and needs, should be considered in 3 main steps: SoR(System of Record) & data flow to master the wide software landscape Simulation framework development and DMU integration Publication and exploitation of simulation data (AI, big data, …) This approach was presented during the NAFEMS congress 2020*. The main drivers was to involve upstream the whole simulation community to ensure from the beginning: Master the data (ensuring cost avoidance and single source of truth): traceability of data, digital continuity, seamless collaboration Master simulation processes (improving lead time and savings): get the basement to deploy specific business capabilities to rationalize and standardize metier activities. This project is taking place into a global transformation project, so called DDMS, for which 3DEXPERIENCE platform has been selected as the ‘oneplatform’ to ensure digital continuity of process and data. This approach is supported by Dassault Systèmes Teams and its challenge is to provide a robust industrial environment able to ensure a high level of standardization for this platform at the same time to be able to answer to each Business unit product specificity. This paper will focus on : Airbus helicopters needs related to SPDM, demonstration in 3DEXPERIENCE of the first steps and associated strategy, DDMS context, as a “group” development opportunity, to improve the synergy between trans-Business Units simulation communities and to perform (through SAFE methodology) the deployment of dedicated releases based on a common platform. 3DEXPERIENCE platform and closed collaboration with Dassault System which allows on the one hand to support consistent platform introduction and on another hand to take advantage of accelerated developments (co-specification and implementation of breakthrough capabilities). * “A value-focussed approach to SPDM deployment”, Mark Norris (theSDMconsultancy.com), Gwénaël Neveu (Digital Product Simulation), (Lionel Fine - Airbus Helicopters), NAFEMS FR Conference 2020, 25-26 November Paris
SPDM, simulation, data management, simulation process, DDMS
08:55
conference time (CEST, Berlin)
A Standardised Approach to Building CAE Application Connectors to an Open-source SPDM Solution
28/10/2021 08:55 conference time (CEST, Berlin)
Room: B
M. Norris (the SDMConsultancy, GBR)
M. Norris (the SDMConsultancy, GBR)
SDM solutions enable simulation engineers to work on a secure, searchable information management platform. Connectors which enable an engineer to launch their CAE application and open data files stored on the platform are an essential component of an SDM solution. The industrial simulation domain is characterised by the use of a large number of CAE solutions and solvers. Whereas organisations typically use a single CAD package for mechanical design, they may use tens or even hundreds of CAE applications and programs. As organisations pursue ever greater product performance, pushing the limits of physics and engineering, more sophisticated CAE solutions are purchased or developed. More sophisticated solvers may require specialised pre- and post-processing capabilities so continuous development of existing and new CAE application connectors to the SDM platform is required. Several versions of a connector which support different version of CAE tools are needed as upward compatibility of developments on CAE applications is not always assured. Therefore, CAE connector development is a major cost component of any SDM implementation. If SDM solutions are to become the usual way of managing simulation data, in the same way that PDM systems are the usual way of managing MCAD and ECAD data, an effective, low-cost route to the development of CAE connectors must be identified. Such a standard, C3I, was developed in 2012 but has not, as yet, achieved significant traction in industry. It is a comprehensive standard but therefore somewhat costly to develop compliant connectors. In the competitive CAE market, vendors have been reluctant to develop standard application connectors which their competitors could also use. An alternative, Minimum Viable Product (MVP), approach has been developed to enable connectors to be developed rapidly for SDM Proofs of Concept. The primary capability of the connectors is to mimic the “open-with” and “save-as” behaviour of CAE applications interacting with a Windows or Linux file system. This approach uses the standard WebSockets protocol to communicate between any web browser SDM user interface and a CAE application on the engineer’s workstation. A standardised architecture and definition of the parameters which need to be exchanged between the SDM client and the CAE application enables a MVP connector to be built very rapidly, days, by an engineer or developer familiar with the scripting language of the CAE application. Such open-source MVP interfaces can be developed and maintained by academics and students using academic licences, internal simulation methods teams or even individual engineers as well as by software vendors or systems integrators. This approach also enables connectors to be developed and shared as open-source to increase the usage of SDM in industry and elsewhere.
09:15
conference time (CEST, Berlin)
Central Management of Virtual Prototypes from a Lifecycle Perspective
28/10/2021 09:15 conference time (CEST, Berlin)
Room: B
M. Elbs (IPG Automotive GmbH, DEU)
M. Elbs (IPG Automotive GmbH, DEU)
This presentation illustrates an approach for establishing simulation-based development processes for software-driven functions by using CI/CD methods for virtual prototype (VP) fleets, symbiotically supporting physical prototypes. The central management of VPs from a lifecycle perspective and ensuring validity and quality are obstacles to overcome. This work demonstrates methods and tools to build an infrastructure for VPs, enabling an agile and efficient development process. The automotive industry is currently implementing the infrastructure required to increase development efficiency: Functional data (i.e., non-geometric data, NGD) and its management are in focus. These data describe attributes, characteristics or the function of components up to complete systems. For a solution that provides centralized and intuitive access to NGD from all R&D divisions, data from different CAE tools and measurements must be combined, saved, quality-tested and exchanged. Integrating existing databases simplifies the workflow and allows visualizing, downloading and searching data. Standardized metadata enable clear labeling and access to structured data, which leads to an overview of all NGD at any time during vehicle development. Achieved improvements, even using different simulation environments, become traceable and quantifiable due to the single data source. This allows the buildup and use of VP fleets enabling cross-domain cooperation regarding full vehicle testing. The collaboration of engineers from all development stages enables continuous improvement of vehicle models. VPs are used to test the latest status of ECU software with relevant vehicle variants overnight, allowing for automated testing and evaluation against quantifiable criteria. AI-driven methods support the correlation of VPs with real measurement data, thereby building broader engineer-level confidence in simulation. Combined with a unified environment, VPs can be used throughout the complete vehicle lifecycle up to validation and support (OTA) in the field. Publications: Kowalski, K.; Stehle, J.: Industrialization of the CarMaker suspension model parameterization and validation processes. In: ATZ 123 (2021), no. 1, p. 62-66 Schaffnit, J.; Holzmann, H.; Lauer, J.; Klemmer, J.: Efficient and sustainable management of vehicle models. In: ATZ 119 (2017), no. 4, p. 42-46 Niederbrucker, G.; Pfaff, A.; Donn, C.; Kochem, M.: Clouds Ahead – The Transformation of Vehicle Development and Data Management Processes, ATZ Automatisiertes Fahren, 2020
Virtual Prototype Management, Simulation-based Development Processes, Cross-domain Cooperation, OTA
09:35
conference time (CEST, Berlin)
Simulation Data Structuring as a Key Success Factor of Your SPDM Journey
28/10/2021 09:35 conference time (CEST, Berlin)
Room: B
H. Giagnorio, S. Grau (Inensia, BEL)
H. Giagnorio, S. Grau (Inensia, BEL)
Over the years, the expansion of simulation as part of products' development and validation process has resulted in an increase in simulation data to be stored. This has created the need to appropriately match the simulation data with the input data that is consumed to produce it. To bring the product to market in a shorter timeframe, each iteration loop results in an evolution of the product's definition which should bring it closer to the desired end result. Having an overview of simulation results evolution over time has become an important asset in order to minimize the risk of regression in product performance. While large organizations can afford Advanced Simulation Process and Data Management (SPDM) solutions, these can be expensive to customize and deploy due to the diversity of inputs, simulation tools, and outputs, as well as business processes that need to be taken into consideration. Giving due attention on Simulation Data Management (SDM) can improve the business plan by accounting for simulation data needs and improved focus on the key topics for success: • Diversity & Variety Management • Traceability and Reuse • Results vs. Requirements over time • Storing and Transferring Files vs. Metadata Companies can reap the benefits of reusing existing simulations to reduce development cycles, justify manufacturing non-conformities and ensure traceability and compliance among others, by focusing on “Data” instead “Process and Data”. This first step in the SPDM Journey provides a high benefit to effort ratio. In addition, having a reliable SDM by standardizing simulation inputs and outputs is pivotal in establishing a reliable “Simulation as a Service” sector in the company. In this presentation, we will cover Use Cases from our experience in Simulation Management with our clients in the Aerospace, Communications, and Automotive industry sectors, from both business and IT implementation perspectives. In addition, we will share best practices what we believe are the best practices for mid-size organizations.
Data Preparation, Simulation Data Management, System of Records, Traceability, SPDM Journey, Data Structure, Interfaces, SDM, SPDM, Standardization
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