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.
“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.”
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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.
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
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” 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.
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.
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.
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.
Generative design replicates natural world's evolutionary approach with cloud computing to provide thousands of solutions to one engineering problem.
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.
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.
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.
A presentation by CIMdata's Dr. Keith Meintjes at the 2018 CAASE conference.
A Digital Engineering Webcast from November, 2018.
This presentation illustrates the Generative Design requirements assessment using the ASSESS assessment model and intrinSIM quantification method.
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.
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.