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.
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.
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?
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.
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.
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.
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.
"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