CAD and CAE companies are exploring digital twins of products, processes and environments to improve engineering outcomes.
Tony Hemmelgarn explains why companies must embrace digitalization as a core part of their sustainability strategy.
Company laid out roadmap and vision for AI integration, CO2 counting, on-demand HPC, SaaS offerings, more.
This white paper focuses on the advantages of multiphysics simulation and testing in the physical world and in the virtual world using the comprehensive digital twin.
This article examines what a digital twin is, what it does, and why it’s used.
A Digital Twin Global Survey Report indicates that digital twin technology is bringing together simulation, high-performance computing (HPC), artificial intelligence (AI), and data science in groundbreaking ways.
AR, VR, digital twins and 3D prototyping all play roles in the future of the automotive market.
Despite being ideal for product design applications, the simulation capabilities of traditional CAD-CAE offer less than digital twin.
This blog is the second in a three-part Aras Primer on the Digital Twin. Part 1 reviewed what a Digital Twin is, Part 2 will present the Digital Twin in various industrial contexts, and Part 3 will bring the information back around and focus on use cases.
This blog presents an approach to real-time Computational Fluid Dynamics, CFD, (and real-time CAE, Computer-Aided Engineering) that delivers repeatable engineering-level fidelity suitable for engineering simulation analysts.
This report dives into the automotive sector to to understand how the industry has used, is using, and will use digital twin technology.
In this Special Focus Issue of Digital Engineering, learn about new innovations in digital twin, digital thread and PLM technology.
A digital twin is an up-to-date representation of an actual current asset in operation that includes the asset’s condition and relevant historical data. Read this ebook to learn the basics of digital twins.
This whitepaper discusses how coupling simulation with physical testing methods at various stages of development permits advanced validation of the system even before it exists, accelerates innovation, and provides a competitive edge.
Next generation product development and lifecycle management platform to replace wide range of legacy systems as part of digitalization initiative, according to Siemens.
Nuclear power plants adopt digital twins for components and systems.
As product complexity increases and businesses seek opportunities for growth, simulation moves to the forefront for strategic capabilities around the Digital Twin, for predictive maintenance and closed-loop development, as well as additive manufacturing, and generative design.
Digital twins of cities can help accelerate AI development for the automotive industry and beyond.
With digital twin technology spreading across most industries, the physical prototype may become less ubiquitous in product design and development. A survey conducted by Altair has confirmed a surge in the worldwide adoption of digital twins.
MobileDrive’s ADAS vision and technology roadmap is based on vehicle requirements built using Siemens Xcelerator.
VGSTUDIO MAX brings significant time savings by incorporating a powerful connected workflow, from the precise reconstruction of three-dimensional volume data sets using the images taken by the CT scanner to visualization (in 3D and 2D) and the creation of impressive animations. VGSTUDIO MAX, coupled with CT scan technology, enables visual quality inspection in industrial applications and the visualization of data in fields of academic research such as archaeology, geology, and life sciences.
Many organizations are improving their simulation capabilities by incorporating artificial intelligence (AI) into their model-based design. Historically, these two fields have been separate, but create significant value for engineers and researchers when used together effectively. These technologies’ strengths and weaknesses are perfectly aligned to help businesses solve three primary challenges.
In this eGuide, we’ll address key aspects of digital twin technology and highlight case studies of an aerospace company successfully using digital twin technology to streamline development and save money.
As opportunities arise to manage complex products in the field, organizations are realizing that existing technology is lacking, making it difficult to keep up with the pace of change. Failing to excel is affecting brands, profitability, and business sustainability – this creates the opportunity to digitally transform with the Digital Twin.
What is a Digital Twin? Everyone you ask might have a different answer; but, the Aras Innovator viewpoint is distinct, and you can learn about it right here.
Siemens xDT expert Ian McGann discusses the five things that make executable digital twins practical and relevant in 2023, based mainly on his recent experiences in building digital twins of offshore wind turbines.
Through digital twins, new concepts, products, processes, value streams and environments can be visualized and shared digitally, and at a fraction of the cost of a real-world implementation, pilot or prototype.
In this webinar, you will learn how a fly-it-before-you-build-it approach can help aerospace manufacturers and their suppliers deploy a comprehensive digital twin for aircraft performance engineering.
MetalQuest, a Nebraska-based custom manufacturer, uses digital twin technology to automate processes, stay competitive and cope with a tight job market.
For tomorrow's products to become a reality, engineering simulation must become a tool for every engineer, every product throughout the entire life cycle. Without this evolution, the opportunities offered by industry 4.0 cannot be fully exploited. A plea for the use of simulation.
Manufacturers are looking for ways to increase their agility and resilience, to become more responsive to supply issues and shifts in customer demand.
AI, simulation, and customization are just some of the key components of enterprise digital twins.
Digital twin technology has developed over time, but what do organizations need to ensure real-time metrics?
Keep an eye on key technologies and on the tighter linkage of the physical and digital worlds.
Here is the story of how digitalization with Simcenter Amesim helped Santa Claus to succeed on time. Many digital twins were used at every step of the process for the global supply chain, from taking the orders from the children worldwide, up to the final delivery in each chimney flue.
The digital twin for the data center is now ‘a thing’ insofar as the whole industry is talking about it. But it’s not ‘a thing’ in the sense that there is no single version of it.
Recently, Aras and AVEVA announced a strategic licensing partnership. The two companies will collaborate on developing scalable Asset Lifecycle Management (ALM) solutions that enable the Industrial Digital Twin.
The boundaries between design and the product life after delivery are disappearing. Companies must embrace the digital twin concept to remain competitive, and embrace leading-edge simulation and testing tools that exploit the digital twin.
For industry and the internet of things (#IoT), digital twins, offering virtual representations of real-world products will be the innovation backbone of the future.
Bentley Systems sees wider application of technology beyond the design stage as it works with Siemens.
Singapore’s city model and the biggest dam in Southeast Asia.
This series of blogs and interactive assets explores how engineering simulation and test are helping to reduce illness and injury and how digital twins will be used to help us live longer, healthier, happier, and more productive lives.
Using these two powerful concepts to eliminate failure conditions in manufacturing.
A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.
In this paper, IDC, a leading, global, independent research and analyst firm, answers the question “Could digital transformation be a way to increase revenues and margins for consumer goods companies, while also improving collaboration and innovation?”
Digital twins are typically built to be used in the tactical and operational activities of a company. Therefore, a connection to an enterprise resource planning system like SAP becomes a critical task in any project like this.
This survey is intended to provide insight into industrial needs, status, and plans for digital thread implementations.
The new Altair digital twin initiative is said to enable existing Altair applications to connect and display in a digital twin environment.
Smart manufacturing relies on supply chain, factory, system, and equipment data. To monitor and analyze constantly changing information in their production process, manufacturers exploring industry 4.0 applications use the real-time data power of digital twins.
According to the 451 Global Digital Infrastructure Alliance: Enterprise datacenters only use 56% of their capacity.
To understand the benefits of a digital twin, it is necessary to understand the possibilities they present. This paper examines their characteristics and construction, the problems of producing a good digital twin, and, with examples, shows their value.
Digital twins create an opportunity to bring modeling and simulation techniques out to the operations phase of an asset. These capabilities allow organizations to improve accuracy of operations and maintenance decisions to optimize their aircraft fleets and can be used by OEMs to support future product improvements in next generation aircraft.
This post outlines the primary advantages of digital twins and gets you thinking how the concept could make a difference in your organization.
Using the 6Sigma Digital Twin’s built-in libraries of cabinets and IT devices, the aerospace enterprise was able to quickly amend models and simulate the impact of new IT equipment deployment.
This blog post explores some of the many applications for utilizing digital twins.
Discover expert thermal analysis, innovative airflow visualization, cross-team collaboration, and immersive capacity planning when you virtualize your data center with the 6Sigma Digital Twin.
This blog shines a light on one of Europe’s largest automotive manufacturers and how they improved cooling across all data center halls to minimize risk and maximize energy efficiency using the 6Sigma Digital Twin, and in doing so, they yielded greater benefits for the long-term.
New workstation GPUs and NVIDIA Omniverse updates lead the announcements at the NVIDIA GTC 2022 Spring virtual conference.
Turning a dream into reality is a challenge for any organization, especially when the dream is growing food underwater. To do this, Nemo’s Garden has embraced digitalization and has implemented Siemens software to enhance, test, optimize, and scale production of their game-changing underwater biospheres that have the potential to change how and where our food is produced.
This webinar goes into specific detail about how to address certification challenges, including: Structural loads and performance, Flutter, Landing and take-off, Structural occupant protection, High frequency electromagnetic simulation, Noise and vibration, and Electric drive.
ASSESS (November 2021) Webinar Recording: Human Digital Twin: Is it possible?
Digital convergence is enabling industries to make the most of the data they collect to inform decisions at every stage of the product life cycle, connect information technology (IT) with operational technology (OT), and capitalize on new business models. Where does simulation engineering fit in the broader digital convergence discussion?
This blog post explores how Digital Twins and Monitoring Systems Work Together.
It is a common misconception that digital twin software and DCIM are competitors. This post examines instead how digital twins and DCIM are complementary toolsets.
Simulation, modeling, visualization and sensor-based data converge to close the design-to-manufacture loop.
Welcome to the future of engineering. Let us show you how Siemens Simcenter executable digital twins (xDTs) do what we thought impossible. This short video shows smart virtual sensors, a type of xDT, created with the help of the Simcenter portfolio. These sensors let you create models that can update themselves as you use them (often in real-time) to predict previously not measurable quantities.
How Do Digital Twins and Monitoring Systems Work Together? In the data center industry, it’s a given that having the right data is essential for making sound decisions throughout design and operations. But agreeing on how best to get that data is a different story.
Creating a Digital Twin or virtual copy of the data center is the surest way to navigate the changes your data center faces. This blog will walk you through where and how a Digital Twin fits into the constantly changing landscape that is the data center industry.
Many organizations are beginning to implement plans to return to the office. The COVID-19 pandemic has everyone rethinking office spaces, especially the all too common open-office space.
Simulation-based digital twins, especially when implementing new data center technology, streamline data center design and operations management.
The Digital Twin provides a collaborative framework and the necessary design tools to drive informed, real-time decisions regarding thermal risk and capacity utilization. 6SigmaDCX Release 15 streamlines data center design and management with new big data features, faster model creation and automation across the board.
This e-book outlines the necessity for unlocking your data center’s business potential.
Deploying any change within your data center can seem daunting. But with a data center Digital Twin you can undertake virtual testing of those changes, using physics-based simulation, ensuring nothing goes into a live environment that hasn’t already been assessed for performance.
This paper provides an aerospace industry perspective on the Digital Twin and the significant benefits and rationale to accelerate embracing the fourth industrial revolution referred to as digital transformation.
A True Digital Twin replicates the proposed physical space, and includes all mechanical, robotic, sensor, vision, AI, and computer systems, while simultaneously incorporating real human action and interaction. Humans experience the system in virtual reality (VR), with concurrent motion capture driving their avatars in real time. The avatars interact with virtual objects and their physical “stand ins”, which are also motion-tracked. All aspects of the system, including hardware, software, AI training data/models, and human interaction, are developed, tested and optimized virtually using a proprietary software platform.
An overview video of data center digital twins.
6SigmaRoom is the industry’s leading data center CFD tool. It is part of the 6SigmaDCX software suite, which integrates IT and engineering operations in capacity planning.
If you capture a product’s configuration correctly, you have context―which enables you to create traceability. In essence you have created the Digital Twin time machine. The context of the Digital Twin, supported by digital thread data, and analysis tools like simulation or analytics, allows you to move backwards and forwards for any product or system of products.
Companies must ensure a cost effective and reliable product is introduced to the market in a timely manner while also addressing the challenges relating to in-service product updates and on-going maintenance. The Digital Twin in the context of virtual engineering and digital transformation is becoming a critical player in such highly innovative and competitive environment.
Akselos is a new simulation technology that can evaluate structural behavior 1000x faster than traditional techniques. Akselos is capable of producing high-fidelity, physics-based models of large complex assets which may be connected to sensor data to regularly update the simulation model and provide the required assessments in a timely manner.
A digital twin is a dynamic digital model of a product, process, or person, which analyzes existing business system data combined with real-world data. However, the value expands past the single digital model of an asset and is increasingly an underpinning element of an organization's digital transformation initiatives.
The digital twin continues to proliferate and is a concept often associated with Siemens, and given our investment in software, additive manufacturing and the digital industries, this is good news indeed. But sometimes these terms can be too ethereal and my interest is piqued when I see this concept in action.
The true cost of deploying and maintaining a digital twin is in collecting and analyzing the data. The data gives life to static 3D models.
Beyond CAE's Dr. Dennis Nagy shares his prediction for Digital Twins in the coming year.
"Although analytical twins have existed for a while, this evolution of simulation-based models that lead to the creation of digital twins is really transforming manufacturing, as product designs become more customized, unique and intricate by nature."
“Collaborating with ANSYS to create an advanced IoT digital twins framework provides our customers with an unprecedented understanding of their deployed assets’ performance by leveraging physics and simulation-based analytics.” — Sam George, corporate vice president of Azure IoT, Microsoft
Bentley Systems conference focuses on infrastructure uses of digital twins.
Let's discuss the importance of keeping your digital twins in sync with real products. Models so accurate they’re a digital twin of the product you’re creating can help you throughout the design and development process. 1D models can help you determine the best architecture for your multi-physics system, 3D models can help you design into the details, and testing can help you improve modelling realism. Combining all the three technologies gives you the highest possible accuracy while making design decisions. But in today’s world the design job isn’t done when you ship. You have to be able to take feedback, track how products are used – with detailed data coming from the increasing numbers of sensors in modern devices – and then use that to support, maintain and improve the products you have out in the market, as well as incorporating all that information into your next generation. That means keeping your digital twins in sync with the real products, even once they’re in customers’ hands.
How can food and beverage companies use the digital twin and industrial IoT to dramatically improve production performance? This eBook shares the value of the digital twin and IIoT for companies that produce food and consumer packaged goods. Then, it shares some practical examples and advice to get started down the path to streamline R&D and new product development, optimize production plans, increase performance, gain production intelligence, improve quality, and compete as an integrated supply chain.
In a commissioned study of IoT decision makers conducted by Forrester Consulting on behalf of Siemens in May 2019, respondents of varied IoT maturity levels recognized that digital twins can continuously improve their product offerings and improve product quality.
Karen Willcox is a leading aerospace researcher and expert in simulation-based engineering who specializes in the aerospace industry. Her work on simplified simulation models has made it possible to accelerate the development and design of complex systems.
Innovation and new technology applications are being established as part of core business management tools and are starting to appear in the area of managing M&A. When M&A is announced, organisations are committing to buy an asset or asset groups – at which point a due diligence effort is usually conducted to establish the actual state of the asset. Digital Twins have shown significant promise for the management of assets, and could also be transformational in the M&A process to qualify the quality of the assets.
PREVIOUS WEBINAR AVAILABLE ON DEMAND The phrase “digital twin” has become the be-all-and-end-all of manufacturing buzzwords, stirring up Utopian views on what it can do for predictive maintenance, simulation and more. But how is a digital twin different from a 3D CAD product model? Can it ever live up to its full potential? Is anyone really making use of digital twins? In this LIVE webcast, DE challenges panelists to discuss: a no-nonsense definition of digital twins; the types of products that make sense as digital twins; real-world examples of digital twins in operation.
Digital twins are virtual representations of physical products. They have the ability to unlock value and optimization throughout a product’s lifecycle. By leveraging real-world data from IIoT-connected product and physics-based simulations, digital twins can better inform and predict product performance. This enables users to develop new designs, operations and controls to optimize performance, reduce downtime and enable service-based products — often without the customer needing to upgrade hardware. The technology to get an IIoT digital twin running is available, however, many organizations are having a hard time implementing and connecting all of the digital, physical and data assets together. With the help of ANSYS Twin Builder and PTC ThingWorx, engineers can simplify the creation of digital twins using physics-based simulations.
For industry and the internet of things (#IoT), digital twins, offering virtual representations of real-world products will be the innovation backbone of the future. Entire systems can be simulated and tested long before a physical prototype has been built. Even operation of existing systems can be further optimized using a #DigitalTwin. Imagine the extraordinary possibilities merging them with artificial intelligence (#AI). Industry experts for digital twins are already using all these possibilities in concrete applications. Siemens Stories on Digital Twin: https://sie.ag/2FSldHZ Make use of it: https://sie.ag/2XcV2q8
Karen Willcox is a leading aerospace researcher and expert in simulation-based engineering who specializes in the aerospace industry. Her work on simplified simulation models has made it possible to accelerate the development and design of complex systems. Karen E. Willcox is Director of the Oden Institute for Computational Engineering and Sciences and a Professor of Aerospace Engineering and Engineering Mechanics, at the University of Texas at Austin. She holds the W. A. “Tex” Moncrief, Jr. Chair in Simulation-Based Engineering and Sciences and the Peter O'Donnell, Jr. Centennial Chair in Computing Systems. Prior to joining the Oden Institute in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as Professor of Aeronautics and Astronautics, the founding Co-Director of the MIT Center for Computational Engineering, and the Associate Head of the MIT Department of Aeronautics and Astronautics. She is also an External Professor at the Santa Fe Institute.
Exploring how digital twins are shaping our digital fabric and engineering future.
At the center of the "Simulation and Digital Twins" colloquium was the question of how to better monitor processes and plants using digital twins, and how simulations offer completely new possibilities for 3D production.
Industrial research requires simulation experts with a passion for digital twins. In the race to innovate, their enthusiasm makes the crucial difference.
From RevSim sponsor PLM Alliances' principal Rich McFall comes this excellent CMSights Blog: In this month’s CMsights we asked Configuration Management practitioner, standards influencer, trainer, and author Kim Robertson to help us distill all the hype about digital twins and digital threads so we can understand their impact on as-maintained configuration management for long-life aerospace & defense equipment. Kim Robertson has over 39 years of experience in the A&D sector and is a co-author of “Configuration Management: Theory, Practice and Application” which is being used as the text for a graduate level course in C&DM at the Technical University of Eindhoven. He holds a CMPIC Configuration Management Principles and Implementation certification and is a National Defense Industrial Association (NDIA) Certified Configuration Data Manager (CCDM). Kim is a member of the SAE International G-33 committee for CM Standards and worked on Revision C of SAE/EIA-649.
Hexagon AB, the global leader in digital reality solutions combining sensor, software and autonomous solutions technologies, announced a collaboration with … Continue reading Hexagon collaborates with NVIDIA to transform industrial digital twin solutions
Siemens Digital Industries Software announced today that MobileDrive has adopted a model-based systems engineering (MBSE) approach to support its Advanced … Continue reading MobileDrive builds next generation autonomous driving systems with Siemens’ digital twin technology
Hexagon AB, a global leader in digital reality solutions combining sensor, software and autonomous technologies, today announced the acquisition of … Continue reading Hexagon adds speed, scalability and automation to digital twin creation with the acquisition of LocLab
Siemens, a leader in industrial automation and software, infrastructure, building technology and transportation and NVIDIA, a pioneer in accelerated graphics … Continue reading Siemens and NVIDIA to enable industrial metaverse
The Functional Mockup Interface (FMI) has proven itself as the most widely adopted format for system simulation model exchange and the de … Continue reading The Modelica Association and FMI Project Announce the Release of Function Mockup Interface (FMI) V3.0
September 01, 2020, LAUSANNE, Switzerland–(BUSINESS WIRE)–Akselos SA (Akselos) has announced the successful deployment of a structural Digital Twin for Shell’s … Continue reading Akselos Deploys Digital Twin of Shell’s Bonga FPSO
Lamprell has signed an agreement giving it exclusive rights to market structural “digital twins” software from Akselos for use with … Continue reading Lamprell Offers ‘Digital Twins’ for Offshore Projects
Akselos will next week host the second in a series of technical webinars for structural engineers and finite element users. … Continue reading Akselos launches the second webinar in Simulation Lab series
Silicon Valley, CA (April 14th, 2020) – OnScale, the leader in Cloud Engineering Simulation, announces Project BreathEasy, a consortium of … Continue reading OnScale Launches Project BreathEasy: Digital Twins of Lungs to Improve COVID-19 Patients Outcomes
Clarkesville, GA –ASSESS Initiative, a broad reaching multi-industry initiative to facilitate a revolution of enablement that will vastly increase the … Continue reading 2020 Digital Twin Forum Keynote Speakers Announced
Clarkesville, GA –ASSESS Initiative, a broad reaching multi-industry initiative to facilitate a revolution of enablement that will vastly increase the … Continue reading ASSESS and ASDL 2020 Digital Twin Forum
Revolution In Simulation (“Rev-Sim” at www.rev-sim.org), the industry collaboration and technology alliance created to accelerate innovation through the democratization of … Continue reading Revolution In Simulation Adds Digital Twins to List of Implementation Topics
Modelon Libraries Now Available in ANSYS App Store Modelon is pleased to announce new Modelon-powered capabilities in ANSYS® Twin Builder™, … Continue reading ANSYS Leverages Modelon Technology for Simulation-Based Digital Twins
Simulation-based digital twins can ensure your facility maximizes performance and reclaims unused capacity without risk or downtime. Learn to use 6SigmaDCX to study the impact of new cooling technologies and optimize your data center facilities.
Simcenter 3D provides the capability to simplify the Simcenter interface for ease of workflow, which can provide efficient use of Simcenter.
A digital twin solution reduced production waste by more than 15%, reduced simulation time from hours to seconds, and enabled the company to monitor its forming process in a real-time environment.
Bell New Ceramics uses Solid Edge to improve design efficiency by 25 percent.
To guide its customers toward a greener and more ecological energy source, ENGIE Lab CRIGEN relies on Ansys’ digital twin technology to accelerate the zero-carbon energy transition for its customers.
What began as a project to aid virtual commissioning now brings benefits in many areas of development and design. In cooperation with Siemens, Neuenhauser Maschinenbau GmbH developed a digital twin for several use cases and now benefits from comprehensive options for simulation, verification, and modeling.
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.
Wholesale colocation and high-performance computing provider Kao Data uses Computational Fluid Dynamics (CFD) simulation to validate data center Indirect Evaporative Cooling (IEC) design.
Kaiser Permanente initiated a project to modernize their legacy data centers using the 6Sigma Digital Twin’s Computational Fluid Dynamics (CFD) simulation capabilities.
Airedale chose the 6SigmaDCX software suite to help them optimize the design of their state-of-the-art ACUs and chillers.
The 6Sigma Digital Twin uses the 6SigmaDCX product suite to create a 3D virtual replica of your physical facility. With a powerful Computational Fluid Dynamics (CFD) engine, it calculates cooling and airflow like no other software available. The 6Sigma Digital Twin provides a centralized platform for teams to track and plan power, space, cooling, weight, IT assets and network port capacity.
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.
Airedale chose the 6SigmaDCX software suite to help optimize the design of their state-of-the-art ACUs and chillers. The Digital Twin addresses the demand for more effective cooling systems by using Computational Fluid Dynamics to simulate airflow. This has improved Airedale’s performance in design stages and enabled them to build a precise replica of their test facility. For Airedale, this has resulted in better offerings to customers as well as enhanced research and development.
When RED Engineering designed a state-of-the-art rooftop plant for a Tier III 40,000 ft2 data center, they used the Digital Twin (DT) to predictively simulate the impact on the facility’s operating conditions. As a result of doing so, they were able to safely instigate a significant redesign that safeguarded the cooling plant’s performance in extreme weather conditions.
You may not know it, but today data centers are crucial: they underpin daily life throughout society. Every time you use common tools on the Internet like Google, Facebook, or YouTube, a data center somewhere is involved in this process.
Citigroup utilized the Digital Twin (DT) from Future Facilities to improve their NYC data center’s efficiency, uncovering potential savings of over $290,000 annually.
With near real-time analysis, the physics-based model of the asset allows Shell and Akselos to monitor the overall health of the asset, reduce down time and boost efficiencies, all while enabling safe asset life extension.
