Democratizing Simulation Resources at Revolution in Simulation

Why Medical Device Design Requires Material Information Management

Like other product design engineers, medical device engineers need to know the traditional mechanical properties of a material they plan to use to ensure it’s up to the task. But that’s not enough. They also need to know how the body will react to the device and how the device will react to the body.

Take Your Engineering Simulation Workflow to the Next Level

Working with the right data is critical to an efficient workflow, but with all the different stakeholders involved in product design and development, how do you know where the right data is?

The Fundamentals of FEA Meshing for Structural Analysis

To conduct a CAE simulation, there are three important steps to an analysis: pre-processing, solving and post-processing. This post discusses the FEA pre-processing step, specifically the importance of a good quality mesh.

How Partnerships Power Simulation

The old, siloed approach to product design and development is being replaced by streamlined workflows where an array of hardware and software needs to work together to foster innovation.

Simulation User Survey Results: Evolving Workflows Affect HPC Usage

Ansys launched a research survey last year to find out how engineering organizations are using HPC resources for engineering simulation.

Can simulation help professionals return to the office?

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.

How to Model and Simulate Complex Electric Motors

3D electromagnetic problems become more complex in multiphysics simulations such as noise-vibration and harshness (NVH).

Earth Day 2021: Simulation Advances Sustainability

Engineers understand that the individual components they design and simulate are part of larger assemblies, which are part of larger systems, which are part of an ecosystem.

New Insights: Enabling New Data Center Technology with Simulation-Based Digital Twins

Simulation-based digital twins, especially when implementing new data center technology, streamline data center design and operations management.

Ingenuity is Taking Off

In his post, author Boris Marovic writes about the leading role of simulation in the Ingenuity 21 space program.

Accelerate Smart Manufacturing with CAE Simulation

Learn how engineers improve manufacturing procedures and minimize tooling and material costs on-demand.

The Emergence of Artificial Intelligence in CAE Simulation

The convergence of mechatronic and system-based engineering with advances in data management, artificial intelligence (AI), machine-learning (ML) and increasingly connected manufacturing is challenging traditional industrial product development and manufacturing processes.

6SigmaDCX Release 15: What’s New

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.

Serving a perfect Guinness – the CFD way

Thanks to Simon Fischer, here’s the first ever Guinness served in perfection – by a CFD simulation tool. Hey, its five o-clock somewhere right?

Perseverance: What’s the weather on Mars?

One of the software tools used to design the weather station on the Perseverance rover was Simcenter FLOEFD.

Simulation-driven Design: Improving productivity with fast and accessible simulation for the design engineer

Webinar on out-of-the-box, CAD-integrated simulation.

Design by Experience or Data?

Can you create better designs based on experience or based on simulation data?

Data Center Digital Twins E-Book

This e-book outlines the necessity for unlocking your data center’s business potential.

The Data Center Digital Twin

Our vision is a world where all data centers can realize their business potential. To make this vision a reality, we are pioneering the concept of the Digital Twin for data center design and management.

Engineering Data Centers: A Case Study of a Modern Science-Based Design

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.

Smarter Simulation for the Design Engineer

Innovative manufacturers are taking advantage of advances in simulation technology and development processes to beat their competitors to market with higher quality, longer lasting products.

How to Build a Digital Twin to Improve Your Data Center

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.

Simulation-driven Design: Increasing designers’ efficiency with intelligently automated simulation

Webinar on automated simulation processes for use by designers.

Answer Difficult Engineering Questions

Why CFD inside CAD is more than just pretty colors.

Simulation for Design Engineers using CATIA V5

Learn how design engineers using CATIA V5 can efficiently use Simcenter to understand their product's performance earlier.

Simulation Driven Design: Automate Simulation Processes

Using NX Open built into Simcenter 3D, users can use automate simulation processes called templates. These template are made up of all the simulation knowledge that is needed for the complex analysis to ensure that high quality products are created, even by less experienced users

Simulation for Design Engineers using Creo

See how Creo users can use simulation

Validate Designs for Life with 3DEXPERIENCE Works Simulation

A component’s fatigue life is affected by multiple factors such as material, geometry, stress range, load frequency, manufacturing process, and atmospheric conditions. It is a difficult question to figure out by hand, which makes it an ideal task for computational simulation.

Accelerate StressCheck Productivity with the Latest e-Learning Resources

ESRD provides a few tips and links to help you become more acquainted with StressCheck® Professional and its latest features.

CAE Handbook Demo: 3D Attachment Lug

ESRD’s CAE Handbook contains 95+ high-quality, expert-built digital handbook solutions. This demo shows how a 3D attachment lug assembly is solved in multi-body contact, and post-processing of the data of interest is automatically reported.

Using Multiphysics Simulation to Unblock the Suez Canal

Could OnScale's Multiphysics simulation have been the key to solving the global supply disturbance amounting to $400 million per hour? Read the article in Digital Engineering.

ASSESS Webinar Series: How Manufacturing Companies Successfully Deploy Next-Generation Technologies to Turbocharge the Impact of Simulation

An online community for Next-Generation Simulation usage and expansion: Are you being left behind?

A Coherent Approach to Managing Geometry, Idealization and Meshing for Simulation

Capturing high level modelling and idealization decisions in order to create a fit-for-purpose analysis model

Digital Twin: Definition & Value

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.

Winning the War on COVID with Ansys Fluent

Renowned researcher Bert Blocken, Ph.D., was recently recognized by Engineering.com alongside other pioneering minds, such as Elon Musk and Ansys CEO Ajei Gopal, for his groundbreaking academic research activities in computational fluid dynamics, wall function development and analysis of basic flow phenomena.

How to Make Sure Your CAD Model is Simulation Ready

This webinar explores the steps to take with any CAD model to ensure that it’s simulation ready.

StressCheck Tutorial: Getting Started Guide

A video tutorial as outlined in the StressCheck v11 Getting Started Guide. Import 3D geometry, automesh, apply boundary conditions, solve a linear p-extension, and perform the four key quality checks.

NCS to Enhance the Design of Turbomachines

In this video, you can see how the user is able to navigate on the performance map, evaluating the behavior of the design on specific operating conditions, for different values and views (pressure field, velocity field, etc.). Then, the user can upload a new geometry, and get the instantaneous predictions of the model on the whole range of operating conditions.

The Importance of Uncertainty Quantification for Deep Learning Models in CAE

When issuing a prediction, one can question human or artificial intelligence on how much she/it is sure about the prediction. Without going into detail on the dramatic consequences of overconfident artificial agents in such situations as Autonomous Driving, this article will focus on the Neural Concept’s core competence: building predictive models that are surrogates of more resource-intensive CAE models.

Model Order Reduction Techniques for Real-Time Parametric Crash & Safety Simulation

Model Order Reduction (MOR) techniques are interpolation methods exploiting existing data sets (input and output) delivered from an existing model or experimental setup. This paper presents the major idea behind reduction methods along with potential applications for crash and safety simulations.

Connect Products and People with Simulation

For many years we have taken for granted the constant improvement in capabilities, performance and connectivity of the electronic devices that are now ubiquitous — from the next-generation wearable, cell phone or computer to smart home devices and virtual assistants that know what we want before we do.

Future Model Build-Up Process in ANSA using MODULEs

Watch this video as presented by Mr. Jürgen Bruns from Volkswagen AG, at the 8th BEFORE REALITY Conference.

ANSA / META Deployment in Groupe PSA

Watch this video presentation by Mr. Jean-Christophe Carniel from Groupe PSA, at the 8th BEFORE REALITY Conference.

Preparation of Geometry Models for Mesh Generation and CFD

Making geometry models suitable for CFD meshing is often a time-consuming bottleneck in CFD analysis. Here we will discuss why this is so and some ways to alleviate the problems.

Systems Thinking and Digital Transformation

Systems Thinking is central to the design of complex systems and to the implementation of your long-term Digital Thread strategy. This Executive Brief describes the risks associated with product complexity and provides you with a practical guide to implement a Systems Thinking approach.

nTop Live: Automated Reconstruction of Topology Optimization from Altair OptiStruct in nTopology

In this nTop Live, Andrew Sartorelli, Product Manager at nTopology, shows you how to import topology optimization results from Altair Optistruct® and automatically reconstruct the geometry to produce a manufacturable part.

Democratizing Simulation Insights

Digital Engineering's Beth Stackpole writes that a focus on post-processing capabilities and creative use of emerging technologies takes the democratization of simulation to the next level boosting accessibility of analysis-driven insight.

Topology Optimization Additive Manufacturing Constraints in nTop Platform

In the recent nTop Platform 2.24 update, we introduced the topology optimization overhang constraint for Additive Manufacturing. In this blog post, we take a deeper look at the unique capabilities of this new feature and how it allows you to create optimization workflows that are different from every other solution currently in the market.

Complete Vehicle CAD Extraction, Translation & Quality Report Generation at CEVT

During new vehicle development the current design is frozen and released and important attributes are analyzed virtually. After such a release, a vast amount of data is available and CAE models need to be created or updated as fast as possible with high quality. The process of collecting, checking and preparing all data was cumbersome and a significant amount of time was also needed to check and correct the received models which could have been based on incorrect input.

Bringing Reality into the Virtual World

The auto industry has been moving from a physical test-based development process to more of a virtual one. All aspects of the vehicle’s design and performance targets are being driven by the use of CAE simulations. Taking the data from one format like CAD and putting them into various formats that physics-based solvers can use is key. Honda R&D America's Mr. Eric Dehoff presents at the 8th BEFORE REALITY Conference.

Medical Device Simulation’s Next Frontier

Simulation-led workflows now dominate early-stage device design and have edged into bench testing and validation. By Desktop Engineering's Beth Stackpole.

Paper: Field-Driven Design

Field-Driven Design is a methodology enabled by the unique capabilities of nTop Platform. Field-Driven Design is a radically better way to generate & control complex part geometry for engineering, manufacturing, and product development. This whitepaper describes the general concepts of Field-Driven Design, how to create and use fields in nTop Platform, and how to use this unique design methodology to unlock new applications.

The 2 Year Old Revolution In Simulation Community: Are You Being Left Behind?

In this short video presentation, Rev-Sim Co-Founder, Malcolm Panthaki provides an update on just how much the Democratizing Simulation initiative has grown in two short years.

Democratizing Simulation: Job Well Done or Unfinished Task?

In this Digital Engineering article, author Kenneth Wong writes that while designer-friendly tools are on the rise, some make make the establishment uneasy.

Looking back at 2020: nTopology’s Year in Review

Over the past 12 months, nTop Platform has evolved into an advanced engineering product development platform. Engineering teams are using our software to tackle the most challenging problems. With 2020 soon coming to a close, now is the perfect time for an end-of-the-year retrospective. Here are the nTop highlights of the year.

Quadcopter – Wing Collision Simulation

Crash simulations are relative complex processes, considering all required steps, from model import and simplification, mesh generation, material description, to boundary conditions, contacts and initial conditions setup. Starting from a detailed CAD model, BETA CAE Systems provides all the necessary tools for Aerospace crash simulations pre- and post- processing.

Achieving Autonomous Driving with Simulation & Testing

Self-driving is becoming more and more realistic. Every day, thousands of autonomous vehicles are being tested on the roads by companies like Waymo, Cruise, Uber, Tesla, and some of those companies have accumulated millions of miles of road testing data, enhancing and validating their autonomous “brain”, with the hope that in the near future, full automation can be achieved.

The Modern Face of SPDM

“Siloed or simulation tool-specific SPDM is simply not scalable with the increasing demands for more and more simulation as part of the overall design process,” contends Pawel Chadzynski, senior director, product marketing at Aras. “When simulation data is in multiple spreadsheets owned by individual experts, you can’t scale up the volume of simulation needed for the complexity of products. You just can’t do it with existing infrastructure.”

Pervasive Systems Thinking & Simulation: Who, What, When, Where, Why & How?

This NAFEMS and Rev-Sim co-hosted webinar will help to establish a fundamental understanding of Systems Thinking as a critical complement to the Reductionist design approach. As part of the discussion, we will explore the need for pervasive simulation across the entire product lifecycle as a critical tool for the design, manufacture and maintenance of tomorrow’s interconnected multidisciplinary products.

The Digital Thread & SPDM: Will this Bring Simulation out of the Shadows?

For simulation to have a broader financial impact on an enterprise, SPDM needs to be implemented and deployed seamlessly within the broader enterprise, especially as required to support implementations of Digital Threads and Digital Twins. This NAFEMS and Rev-Sim co-hosted webinar explores how these platform concepts advance the use and impact of analysis and simulation in the coming decade.

Model-Based Engineering – How Critical is Simulation for a Model-Based Enterprise?

Systems thinking, model-based concepts and simulation methods and processes are closely connected. The support of pervasive engineering analysis & simulation technologies are vital in making these concepts feasible. This NAFEMS and Rev-Sim co-hosted webinar will examine how these concepts interact and how the resulting benefits are critical to the enterprise.

AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Drive Future Simulation Processes?

Recent advances in data science techniques in support of data driven models, especially in the application of AI, machine learning (deep learning) and predictive analytics, have brought these concepts to the fore in every area of industry. This webinar will discuss where we are, including some successful case studies, and how these technologies are being used to advance significantly the engineering analysis and simulation capabilities and approaches over the next 10 years.

Generative Design Powered by Embedded Intelligence: The Next Design Frontier?

The more that systems thinking becomes an integral part of how design processes are performed, the more our engineers will examine critically the interaction of the various subsystems and components inherent to an overall system, rather than in an isolated manner. This webinar will look at how model-based design and model-based development can work alongside generative design, powered by pervasive simulation for the entire product team. Is this the next major step that is needed in our industry to design, validate and support our products with advanced integrated systems that have been increasing exponentially in complexity?

The Emergence of Artificial Intelligence & Machine Learning in CAE Simulation

This paper outlines what Machine Learning (ML) and Artificial Intelligence (AI) is in the context of virtual manufacturing and CAE, and how ML models can shorten the simulation lifecycle dramatically across all industries.

Enhancing FPSO Industry Through Akselos’ Innovative Structural Digital Twin Technology

Learn how Akselos provides breakthrough digital twin technology that delivers unique solutions to the challenges that the oil & gas industry is facing. A truly transformational digital twin technology for best-in-class structural integrity management throughout all phases of FPSO lifecycle.

A Digital Twin for Everybody?

If you look into the future for your company, you need new or better business outcomes. That should be the driver for your company. A company does not need PLM or a Digital Twin. A company might want to reduce its time to market, improve collaboration between all stakeholders. These objectives can be realized by different ways of working and an IT-infrastructure to allow these processes to become digital and connected.

Generative Design Positioning Paper

The vision for Generative Design is that it could enable a significant paradigm shift in the design processes used today by enabling designs to be computer-generated based on a proper specification of rules, requirements, and constraints. This overturns the current practice of design, where designs must first be created so they can be evaluated against their performance requirements.

Initial Thoughts Regarding Topology Optimization in Support of Generative Design

Generative Design is the use of algorithmic methods to quickly and automatically, or iteratively, transform requirements, constraints, uncertainties, and design space to create/drive viable designs or outcomes. Requirements, constraints, and uncertainties may include factors from multiple areas including: design, performance, manufacturing, usability, aesthetics, ergonomics, and cost.

Toyota Motor Europe’s System-Centric Digital Thread: Improving System Performance with Cross-Discipline Collaboration and a Single Source of Truth

This presentation introduces approaches and platform characteristics that increase the smoothness of the information flow across domains, and between system designers and simulation engineers, through the realization of a custom, domain-independent, system-centric digital thread. This provides a single source of truth for the specifications of all systems of interest and related data.

Using Digital Twins to Develop, Test, and Optimize Complex Systems

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.

How to Get Started with Simulation Process and Data Management

The objective of this book is to provide prudent, actionable, vendor independent, information and best-practices on how to approach an SDM project and achieve a first successful SDM deployment as well as identifying pitfalls to avoid based on facts and data from 20 years of SDM project experiences.

Cummins Uses Ansys’ Digital Transformation Technologies in Research and Development of Advanced Diesel Engines

In an effort to expedite the development of innovative, sustainable engines, drive enterprise-wide collaboration, and support environmental sustainability initiatives, Cummins is leveraging Ansys Minerva, powered by Aras. Learn more! #digitaltransforamationplatform #SPDM

Generative Design Assessment Autodesk Fusion 360 Generative Design Workflow

This paper provides an assessment of the Generative Design workflow in Autodesk Fusion 360. This assessment is based on the capability assessment model related to the Key Capability Areas of Generative Design for General Applicability and their associated criteria outlined in the intrinSIM Market Report entitled “A Vision for Generative Design”.

A Vision for Generative Design

“A Vision for Generative Design” is a software independent intrinSIM market research paper that explores the potential paradigm shift enabled by Generative Design and what is required to enable that design paradigm shift. This market research paper looks at the key capability areas required to support a paradigm shift and proposes a capability assessment model with detailed assessment criteria for each of the key capability areas.

“Generative Design” – What’s That?

The term “generative design” has been used in architecture and civil engineering for more than a decade. It is now gaining currency in the mechanical design (MCAD) world.

Generative Design: Advice from Algorithms

CAD programs are ideal for design engineers who need to express their concepts, whether the shape of an automotive part or the housing of a smartphone, in detailed 3D geometry. Dassault Systèmes’ SolidWorks and CATIA, Autodesk Inventor, Siemens PLM Software’s Solid Edge and PTC’s Creo Parametric exemplify such programs.

White Paper: The Next Generation of Design

In today’s design environment, it’s increasingly necessary to combine multiple file types in a single project. If you need to work with parametric, direct and facet modeling within the same project, some CAD platforms require you to move design data across multiple pieces of software.

What Generative Design Is and Why It’s the Future of Manufacturing

Generative design replicates natural world's evolutionary approach with cloud computing to provide thousands of solutions to one engineering problem.

An Introduction to Generative Design

Generative design is opening new opportunities for solving design problems — and turning traditional workflows upside down, moving simulation ahead of model creation. Understanding the basics of the technology can help you decide if it’s time to share your AEC or MCAD workload with generative design tools.

Vendor Viewpoint: Generative Design

To complement this issue on generative design, Ian Symington, NAFEMS Technical Officer, reached out to members of the NAFEMS Vendor Network nafe.ms/vendor to get their thoughts on the topic.

Initial Thoughts regarding Topology Optimization in support of Generative Design

Topology Optimization that accounts for Additive Manufacturing constraints is a solid beginning for Generative Design. But Generative Design is more than this and may include multiple forms of Design Optimization.

Optimization: From Generative to Human-Assisted Design, and Machine Learning

A presentation by CIMdata's Dr. Keith Meintjes at the 2018 CAASE conference.

Generative Design: Your AI Partner in Product Development

A Digital Engineering Webcast from November, 2018.

Generative Design Use Case Requirements Assessment

This presentation illustrates the Generative Design requirements assessment using the ASSESS assessment model and intrinSIM quantification method.

Understanding a Generative Design Enabled Design Process Paradigm Shift

From CAASE 20: The vision for Generative Design is to enable a significant paradigm shift in the current design processes through the creation of algorithmically-generated designs by Design Engineers in the early concept design stage.

Whitepaper: The 7 Habits of Highly Effective Generative Design

Generative Design is an innovation that significantly alters this way of thinking. It leverages topology optimization, artificial intelligence, and advanced simulation which automatically creates multiple viable design alternatives by specifying simple design criteria.

Generative Design with Complete Control

Generative Design is a holistic methodology that augments the capabilities of engineers with digital tools, enabling them to innovate faster. In this 20+ page guide, we explain how you can use nTop Platform as a powerful Generative Design toolbox that gives you complete control over every aspect of your design workflows.

Generative Design Tools That Put You In Control

Generative Design is getting a lot of attention — but what is it exactly? Here is why the current Generative Design concepts fall short and how nTop’s alternative approach enables you to unlock its full potential today.

Future Facilities Video Series

Future Facilities company and data center digital twins overview video series.

Video Series: The Digital Twin

A six-part video series on data center digital twins.

Capacity Planning with the Digital Twin

Success within a data center starts with effective communication between teams, and a planning process that is as agile as it is reliable. Because data center managers must respond to problems as they arise, they are often forced risk resilience and efficiency by making decisions based on inadequate data.

Data Center Digital Twins Overview

An overview video of data center digital twins.

6SigmaRoom: Data Center Design and Operations

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.

The Data Center Digital Twin

It’s all in the numbering – mesh renumbering may improve simulation speed

Renumbering (ordering) of the cells in the Finite Volume Method (FVM) can affect the performance of the linear solver and thus the speed of the simulation.

Simulation of Fan Acoustics using LES on Overset Grids

Professor Kozo Fujii recently shared preliminary results of a large-eddy simulation of an axial fan that were computed on overset structured grids. Decomposition techniques were then used to compute the fan’s acoustic signature. A journal article and conference presentation are currently in-work and will contain more detail on the simulations and a broader range of results.

Turbulence Model Influence on Flow in the FDA Benchmark Blood Pump

Computational fluid dynamics (CFD) can be used to influence decisions early in the design process. In order to assess the state-of-the-art of CFD and its predictive capability for medical devices, the U.S. Food and Drug Administration (FDA) developed two benchmark models for validation.

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