Application of Digital Twin in Machinery Industry

1. FEA Explicit Dynamic for Drop Impact Simulation Using Altair Radioss　 2. Multi parameter Sensitivity Analysis & Deterministic Design Optimization on A/C Outdoor Unit. 3. Uncertainty Quantification & Reliability Based Design Optimization 2D CFD Case Study

Together with cloud providers and our other HPC partners, Intel is driving the performance and flexibility that are critical to running advanced HPC workloads in the cloud. We collaborate across our HPC ecosystem to help cloud providers offer accelerated, secure, and agile environments using our latest technologies, such as Intel® Xeon® processors. As cloud customers continue exploring new possibilities and applications for HPC, Intel is dedicated to facilitating their success. Intel works with HPC partners from various industries to enable forward-thinking cloud use cases such as bursting, AI, and advanced analytics. Learn how Intel collaborates with Public and Private Cloud Service Providers to optimize HPC workloads for fast, cost-effective execution on Intel-based Cloud Instances.

Digital Twin is enjoying a breakthrough, fueled by advances in the sophisticated use of physics-based simulation models of varying fidelities. Connected and informed by data from the field with the help of artificial intelligence, Leonardo S.p.A. validates the performance of product systems virtually in the early stages of design to accelerate the development of their next generation of products.

The door closing feel is directly experienced by the customer and is typically treated as a subjective functional attribute. Objective targets have also been identified and correlated with subjective feelings, even though the final sign-off happens based on subjective assessment. Door Closing is a complex function involving multiple subsystems, their behavior & interface across parts.

Dactem (a DAM group company), developer of specialist test, measurement and assembly solutions for the aerospace industries, presents an overview of the optimization of a thrust balance used for accurate measurements in electrical thruster qualification endurance testing. The presentation will provide details on how a Multiphysics simulation approach was used to find the optimum design taking mechanical, thermal and electromagnetic performance into account. Speakers: Emmanuel Pouleau, CEO, Dactem (a DAM Group company) Pierre Moutet, Engineer, Dactem (a DAM Group company) Duration: 15 minutes

On an international stage, confidence in your design is the bridge to success. Engineering principles have been cultivated to satisfy design requirements and help analyze more and more accurately. For Team Albatross, as analysis of aircraft design holds crucial, Altair strikes to be the first choice. This integrated system houses major products such as Simlab, SImSolid, and Hypermesh which have helped us introduce new design validation analyses for the team. With Altair, we achieved greater computational power even on the simplest of laptop configurations. Altair Hypermesh has allowed dealing with complex geometries that come with our design with utmost ease, giving precise results. Powerful products of Altair such as SimSolid help us perform a plethora of analyses in a short span of time and completely eliminate the barrier of computing limitations. Such unique analysis tools of Altair have enabled Team Albatross to secure ranks in the top 3 for the past 2 years on an international level, and this year, Team Albatross also stood 1st nationwide. Seeing this, it is certain that with what Altair has to offer, Team Albatross is more than ready to advance in technological standards and bring laurels this year too!

The usability of a headset is largely determined by a comfortable fit and its resistance to everyday use. Learn from Alice Lin, Manager of Mechanics at GN Audio R&D how she introduced FEM simulation capabilities at Jabra. The presentation shows how product design benefits from structural analysis, design for comfort, and drop test simulation. A future extension of simulation capabilities intends to address more areas and improve the simulation-driven design process efficiency. Speaker: Alice Lin, Manager of Mechanics, GN Audio Duration: 22 minutes Click the AD icon to select alternative audio translations - French, German, Portuguese and Spanish.

AAM has been providing mechanical drivelines to automotive customers for more than 25 years. As the automobile transitions to electrification, so too must the driveline. AAM has developed a suite of innovative, lightweight, compact and cost-optimized electric drive units and electric beam axles to meet the growing global technology demand as electric vehicles continue to expand over the next decade. Engineering simulation, optimization and validation tools were significant enablers to increase the validation confidence and reduce the time to market for these new products.

Sustainable designs last longer. David Yáñez from Vortex Bladeless, a Spanish start-up, shares his vision of the technology, the strategies used for the integration of the different physical phenomena involved in the simulation-driven design, and the development of their resonating structures having minimal parts susceptible to wear by friction. The simulation results from CFD, with fluid-structure interaction, and electromagnetic field simulation are compared with experimental wind tunnel results and from in-service environments.

AI-powered real-time melt-pool analytics for accelerated product development and production.

The ever-advancing digitization is being driven by the convergence of simulation, data, and HPC. While virtual methods, interoperable tools, and standardized interfaces become state of the art, the engineers and their management will play a significant role to break down silos and benefit from a Digital Thread. In this fireside chat, we will discuss the importance of people to unleash the potential of Digital Twins, how they can combine the different fields of product development and what is still missing to make the connection.

Gaining insights into a product’s performances has never been easier. With the HyperWorks Design Explorer, users can easily set up and execute the design of experiments (DOE) and optimization studies, learning which attributes contribute the most to the different performances, review, plot, and compare results from multiple runs, and ultimately identify optimal designs. The quick and easy setup process is solver independent, yet fully integrated with Altair’s structural analysis solutions. On the other hand, many design specifications are quantifiable and can be confirmed by physics but optimizing a design for subjective design requirements such as the look and feel of a product requires a different approach. This is when expertAI can help. It uses machine learning to enable you to include criteria that have traditionally been considered purely subjective or expert-driven in design optimization. The AI algorithms cluster your designs with respect to their subjective behaviors allowing them to be labeled to train a model aligned with your preferences.

What if you could create 1D simulation models that retain the precision of your 3D analysis while running up to thousands of times faster?

With lightweighting at the forefront of the sustainability discussion, Altair HyperWorks has introduced a targeted environment to rapidly create models for topology optimization. The complete HyperWorks Design Space environment includes an automotive-only non-design space library, collision detection, and a fast and efficient voxel Boolean mesh engine. It facilitates the creation of new model variants in seconds without the need to go back to CAD. In addition to automotive BIW architecture studies, it supports design space local and global modeling for generic sub-systems throughout different industries. The concept adhesive workflow is also available to identify location of structural adhesive.

The Digital Twin concept is broadly applicable to all Altair customer base wanting to develop better products faster. We will explain how to maximize the value you can get from the Altair Platform for Digital Twins. We will illustrate how this solution helps diverse engineering teams develop better, more complex products faster by avoiding work in silos. This will include proven uses cases for the convergence of simulation and data.

Nowadays, many Machine Learning techniques able to identify dynamic models from data are taking hold. But, can we support the learning phase leveraging our expertise obtaining models with better generalization property? To tackle this need and others we have developed a novel approach, romAI. This application combines AI and system modeling techniques to generate reusable continuous dynamic models extremely time-efficient, hence used as Reduced-Order Models to speed-up system design and optimization or in Digital Twins/Simulators for real-time applications.

In this session we will highlight how Altair HyperWorks supports efficient data processing and visualization, thereby helping users to make decisions faster. From the simulation-driven design workflow, fully integrated with HyperWorks’ model build functionalities, to the high-performance visualization and reporting of simulation results, HyperWorks provides the best framework to visualize, process, and report data

Altair products are quickly evolving into AI-driven products. Starting from the modeling and visualization products, the latest release of Altair HyperWorks includes features like shapeAI, which quickly finds and classifies parts “by shape” inside geometry files or finite element meshes - when you want to locate all of the bolts, shafts, and gears in a complex assembly - by applying machine learning.

At Altair, we see a future where seemingly disparate systems work seamlessly together to help businesses succeed. Where pin-point accuracy and speed mean the difference between winning and losing. The world of data science is intersecting with high-performance cloud computing, artificial intelligence, and IoT, unlocking limitless potential and enabling enterprises of all sizes to compete on a global scale while creating a more sustainable future.

What makes artificial intelligence a game changer is not what movies depict with the loud destructive powers of artificially intelligent robots. It’s the opposite, it is the silent creative destruction that it brings as apps in our phones or features in the tools that we use such as spam filters, fraud detectors, and recommendation engines. When combined, these tools make our lives more enjoyable, safe, and productive. In a similar spirit, at Altair, we have been working on powering product design and development with AI to make your work lives more enjoyable, and productive. Our focus has been improving processes and outcomes by reducing repetitive, labor-intensive, non-value-added tasks as well as emulating experts and enriching performance predictions with real-time field predictions. What makes these offerings unique is their no-code integration to the tools that you are already familiar with and hence not requiring you to have to leave your own working environment. In this presentation, examples of such AI-Powered product design processes will be demonstrated. The presentation by Dr. Fatma Kocer, VP of Engineering Data Science at Altair, aired at Future.AI in June 2021, and is almost 30 minutes long. Ready to see how your company can drive innovation with AI-powered design? Contact our solutions experts today. View all Future.AI 2021 Presentations

For several years now, co-simulation between Multibody Dynamics (MBD) codes like MotionSolve and Discrete Element Method (DEM) software like EDEM has been used for many applications such as vehicles and material transportation. One missing link has been a realistic tire model that not only could interact with the soil material in a realistic way but also show the influence of varying tire pressure, change in contact area and pressure distribution over said contact area.

For very soft material such as deep mud with a high-pressure tire, using a rigid wheel is a decent approximation. But for tires on harder surface, this method has several short comings. For example, a rigid representation of the tire will have neglectable rolling resistance while the pressure distribution on a real tire has its peak well ahead of the centerline of the tire producing a resisting moment to the motion. The contact patch area will in reality not depend on sinkage, but the sinkage is dependent on the contact area that is dependent on load and internal pressure.

This presentation introduces the new PM-FlexTire model that is integrated in EDEM and will work with MotionSolve. Requirements for creating and correlating the tire model is presented together with several application examples on mud, clay and gravel beds.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Jesper Slattengren, Technical Fellow, Pratt Miller

Duration: 20 minutes

TransAnt GmbH is an Austrian joint venture by ÖBB Rail Cargo Group and voestalpine Stahl GmbH with the aim to bring more efficient and effective transport alternatives on to the market and thus making rail freight transport more attractive and sustainable.

In this presentation the company talks about the development of their freight wagon “TransANT” - a revolutionary platform concept that reacts to the changing needs of their customers. Its 20% lighter underframe creates a payload advantage of up to 4 tonnes per wagon. Industry-specific wagon bodies and straightforward swapping make for ideal logistics solutions - adaptable to every type of logistical requirements. Using Altair software, the company is currently making TransANT assemblies ready for serial production.

Presented at the ATCx Heavy Equipment in May 2021.

Speakers: Anja Schmid, Key Account Manager & Andreas Tomschi, Development Engineer, TransAnt

Duration: 20 minutes

The chassis of a the RAVO 5 iSeries street sweeper has been a proven design that has remained relatively unchanged since the mid-60’s. However, due to increasing weight and size requirements, as well as possible changes to the driving mechanism, an overhaul of the chassis platform is needed. To develop a new (modular) chassis, which is suited for upcoming and future changes, a CAE-driven design approach is chosen, which is being performed by VIRO. When using computer-aided engineering (CAE), the chief problem is to define or estimate the acting loads and / or boundary conditions on a structure. In case such a structure is dynamically loaded, such a determination is further aggravated. Furthermore, if that structure is a chassis, a wide range of load cases and interconnected systems (e.g. tyres, suspension) effect the multifaceted loading behavior.

By utilizing multibody dynamics (MBD) and creating a MBD-model of the current street sweeper, a first step is taken towards developing a new (modular) chassis. The calculated loads and moments acting on the suspensions and chassis are quantified for e.g. several worst case scenarios, which allows for well-founded decisions in relation to the new design. Furthermore, these load conditions can be used as input for future topographic optimizations and / or stress analyses. An important part, when creating a CAE-model, i.e. in this case a MBD-model, is the validation of that model by experiments and /or analytic formulations. Consequently several calculated load cases have been tested in the field and in mutual cooperation. A subsequent verification shows that the measured accelerations correlate well with the calculated accelerations from the MBD-model.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Thijs Romans, Group Leader Engineering Analysis, VIRO

Duration: 20 minutes

Several OEMs currently face the challenge of information silos due to poor integration of models across the product life cycle. Furthermore, there is limited reuse of models between programs and the variation of modeling maturity across various Engineering disciplines results in lack of traceability. In this short presentation, we will look at solutions and workflows that leverages a systems model as a common language of communication while facilitating various types of real time dashboards and visualization to help understand and optimize the entire Mechatronic system performance.

Presented at the ATCx Heavy Equipment in May 2021.

Speaker: Keshav Sundaresh, Global Director – Smart Systems & Mechatronics, Altair

Duration: 20 minutes

In order to ensure the safety of passengers and on-board personnel, finite element calculation is used at SNCF as part of the acquisition, renovation / modernization projects of trains as a decision aid and preparation for testing approval of trains. This is the main case of the mechanical strength of bolted and screwed assemblies, and more and more of the integration of composite materials into rolling stock structures in order to make them more capacious and less energy intensive. To do this, SNCF is developing methodologies to make the modeling of bolted assemblies and composite parts more reliable, as well as topology optimization. The tools of the HyperWorks suite, and in particular, the OptiStruct solver, allow SNCF to represent its types of materials, as well as these phenomena (bolted assemblies + topology optimization).

Presented at the ATCx Heavy Equipment in May 2021.

Speakers: Patrick Jumin, Derik Joël Kengne Tapchom & Karim Slimani, SNCF

Duration: 20 minutes

G.S. Vidyaprakash presents how Lakshmi Machine Works Ltd. drives the design process with simulation. In his presentation First Time Right Machine Design with CAE Simulation, he discusses reliable simulation techniques to predict & prevent failure modes.

Controller strategy expert Lorenzo Moretti presents how to improve Cobot collaboration. In the context of virtual commissioning, he discusses how more meaningful controller design is possible with realistic plant models.

Dr. Fatma Kocer VP, Engineering Data Science at Altair showcases the impact of AI in development environments. In particular on how CAE tools will evolve and Design Exploration is taken to the next level.

Brett Chouinard, President and COO of Altair discusses Development challenges in Industrial machinery and illustrates how Altair's scalable simulation solutions provide the environment for simulation-driven innovation and how machine learning expands the capabilities furter.

Benoit Pelourdeau presents how Stanley Robotics SAS drives the design process with simulation, to develop the world's first robotic car storage service. Learn from him how the interdisciplinary mechatronic product development team succeeds with accurate virtual prototypes.

Daniel Jauss, Application Engineer CAE, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how to improve system understanding with dynamic motion analysis to Identify real behavior of the machine assembly and Identify peak loads.

Simon Zwingert, Technical Consultant, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how, to improve the design with studies and the design exploration on the complete assembly to perform weld line optimization.

Daniel Jauss, Application Engineer CAE, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how to realize vibration reduction with topology optimization performing a modal analysis & Optimization of a machine portal, identifies economic manufacturing alternatives, and conducts a topology optimization for sheet metal constructions.

Christian Kehrer, Business Development Manager System Modelling, gives a Demo Sessions on Altair Simulation Solutions for faster evaluation of real-world machines, explaining how CNC control optimization is performed to realize toolpath error correction of a CNC milling machine, with system simulation and how more effective controller design with realistic plant models is realized.

Indradev Babu, Managing Director, UCAM PVT LTD, explains how he developed a CNC Jobshop to the largest manufacturer of CNC Rotary tables—presenting different development examples, he explains how Simulation Driven Design helps him to differentiate and what simulation Strategies he implements in the customer-centric development for the following generation Machine Tools at UCAM.

Industry expert Dennis Baum presents how Weber Maschinenbau applies simulation, how simulation can be used along product lifecycle and which benefits arise to customers and internal processes.

Industry Innovator Luca Gatti Luca invites you to a virtual coffee break, to see why it is necessary to model and deeply study the physics behind a cup of coffee. Learn why Gruppo Cimbali SpA is creating digital twins of their coffee machines to fully embrace the digital transformation.

Mayer & Cie. GmbH & Co. KG sets simulation as a central element of the digital development strategy and leverages virtual product development for more efficient machine generations. Marcel Wohlleb presents simulation applications and illustrates how customers of the world market leader in circular knitting benefit.

Mr. Vijay Zala and Mr. Pragnesh Zala present development methodologies for new economic machine generations and showcase why Jyoti CNC Automation Ltd. sets simulation at the core of the development strategy.

A recording of the electric motor development panel discussion as part of the ATCx Electric Powertrain virtual event in March 2021. The panel features insight from Cleef Thackwell, Lead Motor Design Engineer at Jaguar Land Rover; Dr. Lars Fredriksson, VP Global Automotive at Altair; James Eves, Team Manager at Altair; Jonathan Stevens, Senior Development Engineer at Equipmake; Andy Jones, Innovation Program Manager at HiETA Technologies; Sergi Riba, Design Engineer at Safran Ventilation Systems; and Vincent Leconte, Senior Director of Global Business Development, Electromechanical Solutions at Altair.