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 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 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 company and data center digital twins overview video series.
A six-part video series on data center digital twins.
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.
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.
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.
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.
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.
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.
In this webinar, Yamaichi Special Steel explains how they combined the advanced capabilities of nTop Platform with their own custom software (Cognitive Additive & OptiBot) to create a generative design workflow tailored to their needs.
Titanium is the blank canvas on which advanced additive designs can be placed.
In this speaker series, experts in the field of Design for Additive Manufacturing will discuss applications for metal 3D printing and the constant trade off between engineering requirements and design for the manufacturing process.
Simulation technology has changed significantly in the last 10 years, keeping pace with advances in hardware, software and user experience. Simulation today encompasses so many tools and processes — how can you get in on the action?
Over the last decades, we have been observing the winning march of CAD programs, which are nowadays the market standard even for small workshops. Now, it’s the time for software that covers the next step of engineering design workflow - simulation/modeling software.
Hexagon has implemented a work from home program to use smart manufacturing software packages and put together additional online learning options for manufacturing professionals.
Early last year we reviewed in this blog post eight megatrends in engineering modeling and simulation that dominate the thinking and decision-making of engineering organizations and their technology providers today, and that we believe will continue to do so well into the years ahead.
Doug Neill, a 22-year MSC Software veteran whose career includes 11 years as VP of the company’s R&D group, has founded a new company providing software and services for ICME—integrated computational materials engineering. Computational Engineering Software, LLC’s mission is to help engineering and manufacturing organizations “optimize your composite design through advanced simulation.”
Leveraging the expertise of your most senior analysts throughout the product development team accelerates new design validation which in turn boosts innovation. The challenge, until now, has been in how to best extend and exploit this knowledge.
Smart algorithms won’t just lead to better products—they could redefine how product development is done.
This article focuses on the application of Generative Design to mechanical engineering. Note that Generative Design also refers to the autonomous generation of electrical schematics based on diagrams, as well as placing components and routing traces through circuit boards that are based on diagrams.
In this speaker series, experts in the field of Design for Additive Manufacturing will discuss applications for metal 3D printing and the constant trade off between engineering requirements and design for the manufacturing process.
Ian Symington, NAFEMS Technical Officer, reached out to members of the NAFEMS Vendor Network nafe.ms/vendor to get their thoughts on Generative Design.
This document describes the modeling technology used in nTop Platform, and explains how this differs from the approach used in current CAD systems. As we will see, nTop uses a completely different approach to solid modeling, which delivers large and sustainable advantages in reliability, speed, and scalability.
Data Driven models require Big-Data to perform well which is expensive, complicated to manage and in some cases difficult or impossible to get. However, PIMLᵀᴹ technology integrates physics and Machine Learning requiring only Small-Data.
Patent Pending Physics Informed Machine Learning (PIML™) Surrogates: Have greater blind tested predictive accuracy than data-driven machine learning methods, Require significantly less data to train than data-driven machine learning methods, Provide greater insight into the underlying dynamics of the system than data-driven machine learning methods, Have been validated for a variety of complex problems
Market trends push for increased product digitalization. These trends include: Customer buying outcomes & experiences rather than products, AI has enabled the design of intelligent product that can tune their behavior to the required operating environment, There is a desire to move from “big data” to algorithms capable of handling the “small data” problems.
Digital twins most important mission may be to keep the human species alive long enough at the start of a pandemic virus that is highly lethal, very transmittable, and with long periods of asymptomatic transmission.
In this presentation from CAASE20, EASA's Sebastian Dewhurst provides an update on the state of democratizing simulation.
Maiki Vlahinos, Senior Application Engineer at nTopology, describes the simulation-driven methodology he followed to improve the performance of an advanced heat exchanger by 300%; specifically, a Fuel Cooled Oil Cooler for aerospace applications.
In SOLIDWORKS Simulation, finding the ideal geometry to meet performance goals can be automated using a Topology Study. After setting design goals and constraints, SOLIDWORKS calculates your ideal topology optimized for weight, stiffness, and the manufacturing process.
It is clear that democratization of MDO and company wide collaboration can only happen with a friendly to use modern commercial server-based framework that integrates any existing tool, manages the simulation and process data, and offers flexibility regarding distributed execution.
This paper explores the changing role of design analysts, the new challenges that they face, and how SIMULIA® Structural Simulation Engineer (SSE) analysis software from Dassault Systèmes can help analysts succeed in meeting these emerging responsibilities.
This paper examines the increasing demands that designers face to deliver more robust designs early in the process and how integrated simulation capabilities can help them drive the design creation process to achieve that goal.
Manufacturers are leveraging simulation-driven product development because it provides a host of business benefits as part of the transition to smart manufacturing. What manufacturers need to secure these advantages and meet emerging business challenges are integrated, easy-to-use, and automated design simulation and analysis tools—tailored to meet the needs of specific functions.
Simulation and analysis (S&A) are not known for its simplicity. It has traditionally been the domain of experts. The problems they encounter are theoretically complex, and the software used reflects this complexity.
Visual Collaboration Technologies Inc., (VCollab) announces the release of VCollab 19, the latest version of its advanced solution for creating and sharing high-fidelity 3D simulation insights. This new release provides enhanced automation capabilities, along with performance and usability improvements.
Those of us in the simulation domain are well aware that the design insights revealed through simulation can dramatically speed product development, improve product quality, and lower the overall costs of products.
This report presents the accuracy of results given by SOLIDWORKS simulation 2019 using the Guide de validation des progiciels de calcul de structures (Structural Analysis Software Validation Guide) published by AFNOR (Association Française de NORmalisation, French Standardization Association).
Today, automated meshers produce robust, high quality simulation models. Cloud-based solvers yield results in minutes. Easier-to-use interfaces make analysis available to practically anyone. And yet many companies labor to figure out how to incorporate analysis into their development processes.
With the ability to conduct fast topology studies, designers have opportunities to automatically generate the optimal shape for a specific design; to quickly take advantage of new manufacturing techniques; and to ultimately satisfy demands for greater product development automation, innovation, and throughput.
SOLIDWORKS Simulation is an easy-to-use portfolio of structural analysis tools that use Finite Element Analysis (FEA) to predict a product’s real-world physical behavior by virtually testing CAD models. The portfolio provides linear, non-linear static and dynamic analysis capabilities.
SIMULIAworks makes advanced simulation from Abaqus available to SOLIDWORKS users. Test with confidence, inform in real time and make design decisions faster on the 3DEXPERIENCE platform with the world’s best analysis tools - all while remaining connected SOLIDWORKS.
This article examines the benefits of simulation-driven design and the simulation tools available to SOLIDWORKS users.
Dr. Andreas Vlahinos believes that innovation does not come from an 'a-ha' moment but rather from a systematic approach using tools, techniques, experience, and knowledge all together. Check out my interview with him.
UberCloud can get you setup to run parametric sweeps with minimal effort on your part. We work directly with your IT team to configure access to your pre-existing COMSOL Floating Network License (FNL). We also ensure that your IT security rules are being observed while all this is set up.
In this special guest feature, Wolfgang Gentzsch from the UberCloud describes how engineers can perform work from home in the same way they do at their offices, while maintaining or even increasing productivity.
This UberCloud Compendium contains 10 case studies on 50 pages which are related to the Energy sector, selected from the 220 UberCloud Experiment projects performed so far, including applications from oil & gas, mining, electrical, geo-thermal, wind, and water power, and turbines and electrical power transformers.
In this article (Page 34), UberCloud presents two aerodynamics case studies dealing with cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in the aerodynamics sector over the past few years.
On page 40 is the second part of an article presenting a selection of case studies dealing with engineering simulation in the cloud using ANSYS software LS-DYNA, HFSS, and ANSYS Discovery Live; the first part appeared in the previous edition of the EnginSoft magazine and presented case studies based on ANSYS CFX and Fluent.
In this article (page 35), the first in a series, UberCloud presents a series of case studies of cloud-based services for engineering-specific applications and use cases that objectively demonstrate the progress of cloud computing in this sector over the past seven years.
The traditional CFD process hasn't changed in 30 years, and the bulk of CFD done today (as much as 80% we estimate) complies with this accepted norm of creating a geometry in CAD, exporting it to a meshing tool, meshing it, setting up and running a CFD solver, post-processing results, going back into the geometry, altering it and continuing to do these design loops again and again.
UberCloud presents two aerodynamics case studies using cloud-based services with Ansys CFX and Fluent for engineering applications, as well as use cases that demonstrate the progress that has been made in cloud computing for the aerodynamics sector over the past few years.
This report will document the design process of a Fuel Cooled Oil Cooler (FCOC) from initial design in CAD, process steps in nTop Platform, and final Computational Fluid Dynamics (CFD) analysis steps in ANSYS CFX. This document should serve as a reference for nTopology users to perform similar simulations on their own designs.
Recently, one of our sales leads asked us to validate an induction hardening case by comparing the results of simulation versus real life, so their procurement team can make fact-based decisions. We decided to write an article based on this case to demonstrate the correlation between induction simulation and actual results.
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.
3DEXPERIENCE World 2020 conference from Dassault Systemes which took place in February 2020 in Nashville, TN, USA.
This presentation was given at the NAFEMS Americas 2018 conference CAASE18 in Cleveland, OH, USA (see also www.nafems.org/caase18). This topic was also presented and discussed at COE 2018, April 15-18, 2018, San Diego, CA, USA as well as at NAFEMS "Engineering Analysis & Simulation in the Automotive Industry: Creating the Next Generation Vehicle"; November 8, 2018; Troy, MI, USA.
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.
This webinar describes OnScale’s revolutionary approach that combines state-of-the-art proprietary multiphysics solvers and cutting-edge high-performance computers on the cloud. We also describe OnScale’s unique technology and business approach, which gives users the ability to run the thousands of simulations required to fully optimize the electronics package using a flip-chip, all in a fraction of the usual time and cost.
CFD simulates the flow of liquids and gases by performing millions of numerical calculations. CFD analysis is typically carried out earlier in the design process even before the first prototype is made. With high-speed supercomputers, better designs can be achieved quicker, faster, and cheaper. Multiphysics is advanced CFD involving multiple physics coupled to mimic the real behavior as accurately as possible.
Multiphysics simulation lets you explore real-world physical interactions a complex product may encounter. These interactions can impact product performance, safety and longevity. Fluid forces, thermal effects, structural integrity and electromagnetic radiation can affect performance. If you isolate these forces and examine them separately, you may not get an accurate prediction of product behavior.
To design products in the real world, engineers need to contend with physics in the areas of electrical, acoustics, heat, fluids and more. COMSOL is an industry-leading simulation platform that captures the richness of the real world with its multi-physics capabilities.
For simulation to have a broader financial impact on an enterprise, SPDM must be deployed seamlessly within the broader enterprise, especially as required to support implementations of Digital Threads and Digital Twins. This webinar will explore how these platform concepts can advance the use and impact of analysis and simulation in the coming decade.
This white paper discusses how RF MEMS acoustic resonator-based filters can be efficiently and effectively designed, thereby reducing cost, risk, and time to market. Mathematical modeling and numerical simulation play a key role in achieving quick and reliable design wins.
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.
Altair introduces an update to Inspire, its popular software for simulation-driven design. This update includes the addition of SimSolid, Altair’s powerful software for structural analysis of complex assemblies.
The evolution of digital thread is still very much in flux. A number of essential components have yet to be clearly defined, and industry leaders and technology providers still have to agree on the best way to implement the concept to enable broad adoption. As a result, engineers are often left with as many questions as answers.
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.
Focused on the optimization of offshore wind design, the webinar is aimed at engineers, project managers and leaders involved in the advancement of the burgeoning wind sector, as well as anyone interested in the digital transformation of engineering design.
Ensuring that renewables – especially wind – is as efficient and as cheap as possible means eliminating unnecessary decommissioning and preventing additional waste.
Project BreathEasy is a consortium of multiphysics FEA/CFD vendors, medical device manufacturers, engineers, and doctors from around the world who are developing digital twins of the lungs of COVID-19 patients to help doctors improve patient outcomes and optimize use of limited ventilator resources in major outbreak areas.
A safe design is determined by attaining a prescribed minimum failure probability, or satisfying performance criteria within limits of its mean and standard deviation. The need for probabilistic and stochastic analysis is driven by the requirements of norms and standards and by the practical and economic constraints placed on experimentation. Read more in this NAFEMS pamphlet.
Simulation Data Management (SDM) uses database solutions to enable users to manage structures of simulation and process data across the complete product lifecycle. SDM artifacts can be data, models, processes, documents and metadata relevant to modeling, simulation, and analysis.
Verification is the domain of mathematics and Validation is the domain of physics. Read more in this NAFEMS pamphlet.
Mathematically, a sensitivity is a partial derivative of some measure of the performance of a product, such as the aerodynamic drag or the stress at a point, with respect to a parameter representing a physical property of the product or its environment. In this context sensitivity analysis provides a measure of the effect of small perturbations, local to the initial design. Read more in this NAFEMS pamphlet.
The Functional Mock-up Interface (FMI) was developed as an international standard for systems modeling. It addresses many of the issues associated with sharing of simulation information both inside and outside the enterprise. Read more in this NAFEMS pamphlet.
As the complexity of design solutions increases it becomes difficult to define the"worst case scenario” and identify the appropriate reserve margin for any given situation. This results in situations where designs are over- or under-designed. The use of UQ techniques addresses these issues directly. Read more in this NAFEMS pamphlet.
The digitalization of our lives today is driving an ever faster-paced environment. Developing products based on skills and capability in specific engineering domains is no longer sufficient. Read more about Systems Modeling and Simulation in this pamphlet from NAFEMS.
Developing a simulation governance strategy is necessary to build and nurture modeling and simulation capabilities and a company’s confidence in those capabilities. Read more about it in this pamphlet from NAFEMS.
Liberty University Professor of Mechanical Engineering Dr. Wayne Strasser was recently asked by a company focused on the development of respiratory therapy products to aid them in their research on the spread of COVID-19. The team used Ansys simulation solutions to study the exhale of atomized droplets of saliva and mucus during respiratory therapy in a hospital room.
By modeling how inhalers deliver medication to the lungs, simulation helps medical device companies improve inhaler design and helps physicians train their patients on how to use the inhalers for greatest effect. Modeling done by Dr. Yu Feng's Computational Biofluidics and Biomechanics Laboratory at Oklahoma State University.
The medical device industry uses simulation to optimize the design of ventilators. Physics-based simulation is the most effective method to accelerate product development and ensure these devices reach those in need as quickly as possible. Modeling work performed by ARELabs.
Once a vaccine has been identified, one of the biggest challenges facing the biopharma industry is scaling up the production of the vaccine from laboratory to industrial scale. By using simulation in a virtual environment, drug companies can increase their chances of getting the scale-up process right the first time.
Decontaminating rooms and facilities – whether in preparation for patients or in places where the virus has been identified – helps contain the spread of the virus and protect the health of the vulnerable. Simulations performed by Ansys partner InSilicoTrials Technologies optimizes the decontamination process to ensure clean rooms.
Negative pressure rooms (NPRs) can help to reduce healthcare staff's exposure to the virus while attending patients. Simulation demonstrates different room designs of NPRs and enables teams to optimize the room design, inlet vent placement and blower capacity to avoid oral and nasal plumes from recirculating in the room.
Wearing a face mask correctly for an extended period can be uncomfortable and cause irritation, however, it is necessary to ensure the effectiveness of the mask.
Masks can reduce the risk of contaminating others by up to 6 times. Adjustments can be made to ensure masks are sealed properly to reduce the risk of possible exposure.
Standard social distancing guidelines are insufficient when exercising outside. Analysis by Ansys partners Bert Blocken and Fabio Malizia at TUe & KU Leuven has revealed that substantially more space is required to avoid droplets from the runner or cyclist in front of you.
Viral droplets spread quickly throughout the air. The droplets from a cough will spread to the face, neck and clothing of someone one meter away. At two meters, the risk decreases significantly because gravity pulls the carrier droplets to the ground.
The use of virtual testing has increased because of the closures of many physical testing labs due to the coronavirus pandemic. Revolution in Simulation sponsor Kinetic Vision has seen an increase in clients requesting virtual testing services using digital twins. In this article and video learn how the company's modeling and simulation teams are helping Fortune 100 customers to perform virtual testing of new products under development.
Webinar Recording - This webinar establishes a fundamental understanding of Systems Thinking as a critical complement to the reductionist design approach. 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.
Watch this video to get an overview of how ANSYS simulation is helping medical device and pharmaceutical companies save lives by using in silico tests to safely develop innovative devices and treatment methods in virtual human laboratories. Learn how simulation leads to an incredibly high return on investment for these companies, and how regulatory agencies like the FDA are starting to allow simulation data to be used as part of a faster approval process.
ANSYS Discovery Live is a groundbreaking approach to design, allowing anyone to incorporate engineering simulation earlier into product development. Watch this video to see simulation results in real time demonstrating the design of stents, skis, wireless battery charging systems and control board covers for airplanes — a few of the unlimited applications of Discovery Live.
In this ground-breaking webinar series from NAFEMS and Revolution in Simulation, we’ll look beyond the present to the next ten years of advancements in simulation that are needed to support Systems Thinking for a Model-Based Enterprise. The series will explore how the latest technology trends and simulation methods will develop and impact our industry and society during the next decade. Tuesday, April 7th, 2020 | 8am PST / 11am EST / 4pm GMT
Independent organization expands coverage of key simulation topics as part of its mission to help democratize analysis-led design. Read Editor, Beth Stackpole's article in the March 2020 issue of Digital Engineering.
This white paper discusses how synthetic datasets for training AI can be generated in hours using the OnScale cloud simulation platform. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.