ABSTRACT. The Department of Energy (DOE) National Nuclear Security Administration (NNSA) is funding a Model-based Enterprise Transition Initiative (MBET-I). MBET-I aims to evaluate potential model-based design (MBD) and model-based enterprise (MBE) concepts as they would be applied to processes within and between NNSA labs and plants. In many cases, it also compares these potential concepts to current processes in order to derive the benefits of the transition for stakeholders. MBET-I’s pilots and organization of MBD oriented activities across NNSA labs and plants aims to help the organization develop a detailed implementation plan for MBE, identify and mobilize key stakeholders in that implementation, and better understand critical challenges and potential paths foward. Ryan Kuhns will briefly introduce the program and its goals and then representatives from Los Alamos National Laboratory, Sandia National Laboratory, and Kansas City National Security Complex will present overviews of their selected pilot efforts funded through MBET-I.

ABSTRACT. The NIST Model-Based Enterprise (MBE) program[1] is developing methods, open standards, and tools that will make it possible for manufacturers to integrate system, service, product, process, and logistics models across the manufacturing enterprise. One of the fundamental research challenges that need to be addressed for achieving an efficient and agile design-manufacturing workflow is to compute the manufacturability of a product design with a high degree of confidence using empirical, analytical, and data-driven or machine learning (ML) based models.

In this presentation, we will share our research on formalizing manufacturing process capability knowledge that relates part design attributes (geometry, material, quality) to a broad range of discrete manufacturing processes capabilities and related resources, such as, machines, tools, fixtures, operators, and facilities.

We will demonstrate the use of manufacturing process capability knowledge to answer queries that are the basis of decision-making in a design-manufacturing workflow, such as: (1) What types of machines, tools, fixtures, and other resources are required for a given type of manufacturing process, (2) What types or range of part designs can be fabricated using a given manufacturing process?, (3) What are the candidate manufacturing processes for fabricating a given part design, and (4) What types of part designs can be fabricated in a given manufacturing facility? We will demonstrate the use of modern graph frameworks for executing manufacturability queries and visualizing results.

[1] https://www.nist.gov/programs-projects/model-based-enterprise-program

ABSTRACT. NASA has been investigating Model Based Systems Engineering (MBSE) since 2016 within its MBSE Infusion and Modernization Initiative (MIAMI). In that time MIAMI has evaluated MBSE on over two dozen programs and projects. MIAMI now has lessons learned on when and how to implement MBSE on programs and projects to provide value added solutions to real NASA engineering problems.

ABSTRACT. Many companies are transitioning to a Digital Engineering (DE) or Model-Based Engineering (MBE) Ecosystem to ensure long term competitiveness. In addition to transforming engineering processes, tools and data, it is critical that companies also transform their culture. Boeing has embarked on a digital transformation journey with an intentional focus on culture change. This journey started with a top-down digital transformation strategy championed by the Boeing CEO, CTO, and CIO and encapsulated in a “2nd Century Digital Enterprise” initiative to transform Boeing processes, tools, data and culture. We have successfully completed several “MBE Pathfinder” projects to implement specific portions of the digital value chain to capture value and provide reusable artifacts for replicating on other programs. To ensure consistent implementation across the enterprise, we have created a common MBE Lexicon, Taxonomy and “MBE Diamond” framework for concurrent development of products, production system and support and services in an MBE ecosystem. To address culture change, we developed a series of MBE awareness courses to help “raise the digital IQ” of Boeing employees and address what is changing, why it is changing and how the change impacts every Boeing employee. A workshop was held to educate program leaders on the value of MBE, and to get their personal commitment for MBE transformation. Finally, we developed “MBE Starter Kits” to provide the resources needed to help programs succeed on their MBE transformation journey.

ABSTRACT. Large‑scale complex cyber‑physical systems are designed and developed by teams of engineers within and across organizational boundaries, using different tools, models, and data repositories. Although each team and discipline has optimized its workflow around specific tools and models, the traceability, communication, and coordination of engineering information and activities between the disciplines largely remain document‑centric, manual, and error‑prone, often resulting in costly redesigns and operational failures.

In this presentation, we will demonstrate Syndeia - a model-based engineering platform for building, querying, visualizing, and publishing digital threads for cyber‑physical systems. This approach is founded on the principles of model‑based systems engineering (MBSE) and graph theory.

ABSTRACT. Additive Manufacturing (AM) achieves significant fabrication savings and enables complex geometries that are not possible by to fabricate by conventional processes. Metal AM parts may suffer from: (i) defects, (ii) net-shape warpage, (iii) residual stress, (iv) surface roughness and voids, (v) inconsistent density, (vi) anisotropic microstructure, and (vii) low through-the-thickness interlaminar strength. AM defects are affected by variations in power and speed that result in pores, thermal cracks, surface finish and warping. Some of these defects are closely related to the thermal behavior during printing, in which materials go through multiple stages of heating, melting, and cooling. The objective is minimize trial and error using a building block qualification strategy consisting of coupon, element, subcomponent, and component. This includes: i) void, prediction at the coupon level, ii) print error macro void prediction at element level, and prediction of scatter in material strength and establish allowables, iii) prediction of fracture control plan , iv) prediction and measurement of distortion and inherent strain due to different print strategy, and base plate removal residual stress, and v) net shape, and warpage, prediction and measurements. The qualification of AM build strategy can reduce and replace costly, time consuming X-rays and CT scans by performing real-time quantitative Non-destructive Evaluation using integrated sensors, and advanced Integrated Computational and Material Engineering tool, including process map to establish print road map, micro scale modeling of thermal and mechanical state, and Multi-scale structural progressive failure analysis. This will improve quality, reduce cost and allow quicker qualification of AM parts.

ABSTRACT. Cost reduction and innovation are driving forces for adopting simulation throughout system development: from evaluating multiple 3D system concepts with minimum design details, to repeatedly testing design versions with respect to changing requirements, to increasing test variation on the design. Managing simulation data and communicating about it is challenging, because the same engineering simulation (e.g., temperature fields on geometries) can have multiple equivalent physics representations and many numerical methods to choose from.  Addressing this requires models of physics simulations that are understandable by engineers, independent of solver choices, but interpretable by solvers. In (Szarazi & Bock, 2019), we introduced a human and machine-readable graph-based representation of physical laws and their application as computation, as well as a methodology for simulation modelling to formalize implicit expert knowledge and solver documentation. In this paper, we briefly summarize this machine-readable physics, then explain its benefits to simulation process management and collaboration.

ABSTRACT. This project was originally presented at the 2019 MBE Summit and has moved from the concept phase into sensor installation and collecting initial training data sets in the prototype lab. The first effort, and the bulk of this update, is on the low cost version of the data collection system. The system uses open-source technology with Arduino, raspberry pi and emon pi units to collect state and status of the mill. The system can be adapted to a variety of sensors and machines.

ABSTRACT. A “connected enterprise” can take on many forms, some of which depends on the level of model-based enterprise (MBE) maturity. A “digitally-connected enterprise” is one that relies on the careful storage and usage of strategic information that can be widely accessed, readily augmented, and efficiently utilized during the various stages of a product’s lifecycle. In this digital age, it is important not only to record information, but also to ensure the information can be reused throughout the life of a product.

With the evolution of the digital enterprise, it is becoming more common to run simulations on data before an actual product or prototype is produced. One of the main benefits of such simulations is to make reliable performance predictions from a model or part before production or even the creation of prototypes. It is important to note that the entire concept of a digitally connected enterprise hinges on the validity and extensiveness of information used. Ideally a digitally-connected enterprise captures data from the entire lifecycle of a product, from design, to manufacturing, to quality and inspection, and back to design so changes can be made.

This paper will discuss the effective use of information inside of a digital enterprise as it relates to inspection and simulation information. Topics discussed will include today’s methods for recording inspection data, the usefulness of today’s data in a connected enterprise, product-level simulations as it relates to performance, and how data, when not gathered correctly, can be a limiting factor across the enterprise.

ABSTRACT. Proprietary and external Specifications and Standards and their derivatives constitute a large part of the enterprise documents. They are created and used by component, material and process engineers and others in downstream life-cycle processes. Models created by system engineers in MBSE tools are not interoperable with these documents. These silos make it difficult to effectively integrate MBSE models with requirements specified in upstream Government Specifications, and validate whether system requirements are satisfied in downstream component and assembly Specifications. NASA funded research into providing interoperability between SysML models and Digital Models of Standards and Specifications in SWISS. SWISS uses an ontology-based linked data model to describe the syntax and semantics of these documents. Linked data, based on Semantic Web standards, and ontological knowledge representation, are known as the best practices for relating concepts from multiple sources, querying that knowledge and ensuring its consistency. In this presentation, we will cover use cases and the process for the integration SysML and SWISS Models of Specifications used in the NASA-funded project. Additionally, we will explore other opportunities for integration between document- and model-based worlds. XSB and Elysium will demonstrate how SWISS uses a graph of concepts build from drawing notes of 3D PDF documents to bring Specification knowledge to the engineer at the point of use.

ABSTRACT. There is growing concern and call for standard practices in evaluating Artificial Intelligence (AI) models and systems, especially those with ‘black-box’ style operations with innerworkings that lack direct human interpretability. As construction of intelligent systems continue to become cheaper and easier with commercially available products, the task of qualifying these systems has fallen on developers and providers who may lack necessary industrial domain application expertise and/or proper motivation to provide critical evaluations for these systems in a manner that is objective, easily interpretable, and directly comparable to similar products. This talk will highlight some of the most common pitfalls and mistakes made when creating or deploying an AI solution. Even with little to no understanding of the inner working of these ‘black box’ architectures, there are many common tests and philosophies that can identify potential problems with AI solutions early in the evaluation stages, prior to the precipitation of any deleterious effects.

ABSTRACT. The knowledge gained during the pursuit of applied research is intended to create a new body of knowledge in the respective field or add to an existing body of knowledge present in literature. It is not always apparent which direction the research will take in the effort to reach an objective. Such is true for the research to develop a manufacturability assessment methodology aimed at reducing product life cycle costs. The original objective of the manufacturability research performed under collaboration with the U.S. Army Engineer Research and Development Center (ERDC) was to support the development of a tradespace analysis method to evaluate the manufacturability of Pre-milestone A design alternatives. This effort was initiated to identify the inherent risks to life cycle costs based on conceptual design choices. Research and development of this manufacturability assessment knowledge based evaluation (MAKE) led to the development of a tool originally planned for use in the research case studies. However, the creation of the tool, referred to as the MAKE Tool, provided insight into the application of the tool to a platform outside the confines of applied research toward direct use by manufacturers, DoD contractors, and other industry sectors. This paper will provide background into the research, development, and application of the MAKE Tool and the process of transforming it from an applied research tool to an industry focused tool.

ABSTRACT. Model Based Product Support (MBPS) will connect the Navy’s disparate network of stove-piped logistics applications into an integrated, cloud-based, commercial off-the-shelf platform. MBPS will enable the use of common digital data standards to procure and manage complex 3D technical and product data models to maintain the digital thread and seamlessly apply updates from design changes to downstream products required for maintenance and supply. This digital transformation effort will reduce the workload associated with the manual/transactional work we do today and create new work in areas like System, Platform, and Strike Group Readiness model development and analytics. MBPS is a seismic shift in the way the Maritime workforce will execute the processes to sustain ships and submarines. MBPS will provide a Common Readiness Model capability that enables users to analyze, predict, and optimize system, ship, and strike group readiness throughout their life cycle. The modeling and simulation of MBPS will force a change in groups that might have never previously used optimization as a method of solving product support issues. This effort aims to enhance collaboration between organizations from engineering in design, to sailors on the ship, to maintenance and supply chain experts. The aim is to be superior to our adversaries by rapidly deploying and sustaining capabilities, and quickly pivot to support mission priorities. In this, MBPS is critical in that it delivers readiness and sustainment as a warfighting capability and combat multiplier. MBPS isn’t just an IT system – it’s a total change in how we sustain ships and submarines.

ABSTRACT. The Model-Based Enterprise will not be attained without changes being made across the four tracks that have been identified by NIST and its co-organizing partners. The successful implementation of the technology needed to support heretofore disparate and disconnected business processes is at the mercy of organizational change management and a paucity of workforce skill sets lacking across corporate nooks and crannies. The role of data interoperability and collaboration standards, how data is exchanged within the digital enterprise, including supply chains, is being addressed by a number of industrial consortia efforts, but significant challenges remain to be resolved.

CIMdata will moderate a panel of thought leaders on the forefront of companies actually engaged in standing up their Model-Based Enterprise selected from the Aerospace & Defense, Automotive, Medical Device, and Heavy Industry industries to expose the real world issues currently being encountered by those industry SMEs that are actually engaged today in addressing the MBE challenges in real time. Together the four industries broadly identified make up approximately 55% of the PLM market. While there are other important enterprise application domains that must be considered with respect to their contributions, the role of PLM in creating and sustaining the Model-Based Enterprise is paramount.

ABSTRACT. Many of the attendees at the summit have a pretty good understanding of the technical data used to describe, manufacture, and inspect a part. But we need to reach out to those who may not, especially students and the workforce that although may be sophisticated users of CAD and CAM have limited digital thread exposure. Models are still used to create drawings are manually entered into design and manufacturing systems which are then used to issue a paper report. With a little bit of familiarity the digital thread enabled model based environment will result in streamlined processes and improved communication. There are few if any excuses why in our current day and age that any enterprise regardless of how big or how small cannot participate in a model based environment. This tutorial will provide an introduction to the various types of technical data used to enable a digital thread and how the typical tools available to the small and medium manufacturer can be used for both creation and consumption.

ABSTRACT. All MBE Summit 2020 participants are invited to a QIF Open Round Table discussion hosted by the DMSC (Digital Metrology Standards Consortium), developers of the QIF standard. Round Table panelists will be a wide variety of thought leaders and industrial users with real-world experience using QIF v3.0 as a solution for closed-loop feedback within the digital MBE.

You are invited to take a seat at the QIF “Round Table” and join representatives from the QIF Community in an open discussion on QIF related topics. Sit with QIF authors, QIF implementers, QIF industry end-users, MBD specialists, DMSC board members, and QIF novices, as together we all share our QIF experiences, past, present, and future.

ABSTRACT. (Civil) infrastructure systems modelling has been lacking traditionally behind the aerospace and manufacturing sectors, where advanced computer-aided techniques and tools have reached a level of integration offering excellent through-life support for some time now. However, advances in infrastructure monitoring technology and the generation of volumes of urban data, as well as the emergence of Building Information Modelling as next generation design technique, promise a fundamental reshaping of infrastructure delivery. Based on these, the idea of Digital Twinning of large scale systems, even such as of an entire city, becomes all of a sudden potentially feasible. But several challenges and obstacles remain: urban data collection and curation at scale, infrastructure components identification and their semantic representation (and standardisation?), modelling of individual component systems (e.g. IoT) and scaling/joining up with complementary models, accuracy of inputs and precision of outcomes, open sourcing to the community and intellectual property ownership, value creation and value delivery etc.

Project experience shows that mere accumulation of heterogenous models and their ad hoc integration, usually leads to a business as usual paradigm, without marked improvement. What is therefore required to ensure that the infrastructure sector can benefit from the current digitisation revolution? The proposed panel will debate these challenges of large scale systems modelling for infrastructure and cities and explore the roadmap of potential transitions from cyber-physical systems (e.g. IoT) modelling to City Digital Twin technology. The panel will comprise international academics and industrial leaders in software and systems modelling, infrastructure experts and potentially software tool vendors.

ABSTRACT. Guidelines of noncontact measurement and data processing based on MBD are proposed in order to achieve stable and reliable results from noncontact measurement and encourage its utilization throughout industry. Those guidelines were tested with using practical models and it was verified that difference between touch probe and noncontact measurement can be small enough to be used for quality verification purpose, with following these guidelines under appropriate conditions. General technical problems both in measurement and data processing phases were identified and listed for future improvement.

ABSTRACT. Our Goal is to collaboratively define an efficient standard-based data exchange framework for Shipbuilders and the Navy.

The Navy is investing heavily in the Digital Future and is aware that the transition from legacy Shipbuilding “Drawing Centric Processes” to “Digital Data Centric Processes” is considered High Risk. This is High Risk is due to the magnitude of change and consequences of failure for not having data exchange and delivery standards (level of quality & common language) defined and in use.

The “Minimum Standardized Content to enable a Navy Digital Enterprise” presentation provides overview of the NSRP project which is designed to research Industry standards, define information necessary for Navy operations, apply standards to minimum data required for exchange, develop standard based functional models and test them for compliance with the standards and information needs. The accuracy of a fully digital 3D ship arrangement offers many efficiency and cost saving benefits from the rapid access and visualization of critical data and information to the ship’s crew. It also introduces significant change to the way we do business for both the Ship and on Shore information management.

ABSTRACT. As model-based pilots mature, organizations are identifying the necessary stages from concept to production required to fully support products through a model-based lifecycle. Not only is it essential for complete and consistent practices for applying MBD information on source data, but handling the derivatives, consumption, processes, and workflows through a variety of tools, vendors, software platforms, and partner organizations becomes the next critical element to accelerate and connect the extended enterprise.

As each product is unique, processes will vary according to a number of factors, including manufacturing processes, materials, industry, regulations, and safety requirements, to name a few.

This presentation will reference a sampling of actual industry workflows implemented in preparation for MBE processes that can be expanded upon and further automated.

It will also feature an in-depth look at a variety of use-cases supported by TDPs, including but not limited to the definition of a product, engineering change notices, validation reports and comparisons between revisions of a 3D model. By reducing the amount of time spent customizing or designing templates and providing users with the tools to seamlessly link different data sources together inside of a 3D PDF or HTML report, TDP requirements can be expanded upon faster and represented more clearly without the intervention of a third party. Demos for TDP template creation will be shown.

ABSTRACT. Leading global manufacturers are realizing substantial performance benefits by embracing open data standards as the foundation of their Model Based Enterprise and Digital Transformation strategies. This empowers more effective and secure data exchange and collaboration throughout engineering, manufacturing, supply-chain and field-service operations.

Anark has deployed effective Model Based Enterprise (MBE) enabled Digital Thread solutions for well over a decade, and this session will showcase how innovative manufacturing organizations such as Boeing, Cisco, GE, and the US DoD are overcoming common obstacles to effective digitalization such as interoperability limitations, rigid legacy systems, closed-proprietary solutions, disconnected & ad-hoc collaboration practices, alignment and cultural challenges, and the need to digitalize a broad array of technical data types and formats, including high-fidelity MBD.

Key Takeaways:

1. Understand key concepts and processes such as Industry 4.0, Intelligent Information Management, Digital Thread, and Model-Based Enterprise (MBE), and their critical role in helping manufacturers improve efficiency, IP security and quality, while accelerating new product introduction (NPI) timelines.

2. The power and utility of open standards and interfaces such as STEP, JT, PRC, glTF, WebGL, 3DPDF, IPC-2581, MIL-STD 31000B, and more.

3. Demonstrate how connected, fit-for-purpose Technical Data Packages (TDPs), with support for a broad array of technical data types such as 3D MCAD (with MBD), 3D ECAD, 2D drawings, BOMs, text, images and more, can enable more effective data exchange and collaboration throughout the extended enterprise.

ABSTRACT. During a product development cycle the different systems engineering models (e.g. SysML) go through various iterations of changes and releases. Apart from baselining and variant management, configuration management enables product releases, analyses of design as well as further development happening all at the same time with different configurations. For these purposes, the advantages of versioning systems have been successfully used for decades in the development of the source code. Our goal is to reuse these established configuration management processes from software development for all artifacts, including models. In the end of the presentation we will demo how you can use feature branches with Git (e.g Gitflow) and LieberLieber LemonTree to have new capabilities for your MBSE practices.

ABSTRACT. Digital transformation. Digital thread. Model-based enterprise. Capvidia unites concepts & theory into real-world application starting with the first step of every MBD journey: CAD + semantic PMI.

In this demonstration, you will see real (and imperfect) CAD data in use, and discover the benefits of semantic PMI workflows as an authority CAD file becomes the single source of truth for downstream consumption from design to manufacturing.

What you will see in our Creo-based demo:

1. 2D/3D Sync 2. Exporting to QIF MBD format (CAD-neutral file format) 3. Using MBD Data: healing PMI, loading into metrology software, generating FAI forms, etc. 4. Harvesting measurement data and closing the loop.

CAD + semantic PMI that is human & machine-readable–this is true MBD and digital transformation in practice!

ABSTRACT. Aerospace, automotive, and government organizations increasingly reach for graph technology to facilitate the adoption and implementation of model-based engineering methods. Tom Sawyer Model-Based Engineering and Tom Sawyer Business Process applications create consistent, readable, and semantically rich graph visualizations in seconds. The intuitive interface allows engineers to quickly generate and customize diagrams at the touch of a button; our graph technology creates diagrams that are easy to analyze and more accessible to stakeholders as they interactively navigate through complex data models. Organizations like Airbus, BAE, NASA, JPL, Lockheed Martin, Raytheon, Toyota, and others use Tom Sawyer Software technology to help them federate, visualize, and analyze data-driven models with speed, scale, and quality.

In this demonstration, we will show how organizations can benefit from world-class visualization and data analysis, discuss real-world customer needs, and demonstrate how graph and data visualizations move companies along the path to digital transformation. We will share how integrated model-based visualization and business process platforms are revolutionizing workflows that help organizations improve productivity and the quality of communication and outcomes. And, we will discuss how to leverage the combined strength of language-compliant modeling tools with flexible, responsive system visualization and project management tools.

ABSTRACT. Eleven years ago at the first Model Based Enterprise Summit, the ability to share data to support DoD Acquisition needs was unproven, and the scope of the data sharing being attempted was limited. Today, things are different. In the last decade, the concept of a digital twin which flows through the new product development process has emerged, developed, and matured, providing powerful and adaptable capabilities not imagined at the start of this journey. Siemens Digital Industries Software works with all major services and primes to enable the digital transformation being led by the Office of the Secretary of Defense. Existing software product enhancements are released twice a year and new software product and platform capabilities are being added and integrated into our product line. Our digital ecosystem, called Xcelerator, provides end-to-end model-based digital lifecycle support. We will demonstrate to NIST MBE participants the state of the art in digital twin/digital thread technology to show that what was hoped for a decade ago is increasingly possible and practical. Xcelerator provides an open standards-compliant platform for managing and exchanging product data as models beginning with the concept development, through technology maturation, to engineering and then manufacturing. Increasingly DoD services are also asking for the digital twin/thread to enable faster and more efficient full lifecycle support – the model-based lifecycle concept. Using multiple videos and presentation materials we will demonstrate key MBE capabilities, standards compliance, and key challenges. We will also discuss some of our experiences working with the DoD community on MBE projects.