Monarch Spotlight Series - Data Snacks: Optimizing, Importing and Exporting Data
The first step in any data preparation process is accessing the data itself but not all data is easily attainable. Learn how Monarch can expedite the data extraction process from virtually any source, from your tabular databases to your local drives, and how to get consistent results.
With a wide variety of data comes a wide variety of challenges. Monarch has the ability to meet the individual challenges presented by each data source by catering to that type and giving the end-user the option on how they would like to interact with it. Once your data is imported and cleaned, learn how you can manage your exports to push the data exactly where it needs to go, in the format it needs to be in.
Designing Construction & Mining Equipment with EDEM
In this webinar, learn more about EDEM software and how it can be used for the design, performance testing, and optimization of mining and construction equipment.
Dump trucks, excavators, loaders and dozers are all designed to handle bulk materials that can vary in shape and form, from large quarry rocks to cohesive soils or abrasive ores. These materials and their interaction with the machine parts have a strong effect on equipment performance.
EDEM software, powered by the Discrete Element Method (DEM), accurately simulates the behavior of rocks, soils, ores and gravel, etc. It provides engineers with crucial engineering insight into how materials will interact with their equipment during a range of operating conditions and enable them to use realistic loads in Finite Element Analysis and Multi-body Dynamics simulations for optimal designs.
• Challenges of designing heavy equipment
• Introducing EDEM simulation technology: overview, material calibration, and CAE integration
• EDEM applications examples:
dump trucks, excavators, road graders, dozers, loaders, grabs and dragline buckets
From Mine to Blast Furnace – Optimizing the Steelmaking Process with EDEM
In this webinar learn more about EDEM software and how it can be used to optimize a range of operations and processes as part of the steelmaking process.
Bulk materials such as iron ore, coal, pellets and sinter are at the core of the steelmaking process. From transporting raw materials from the mines to the plant by wagons, moving materials on conveyor belts to the blast furnace and the actual charging of the furnace, efficient handling and processing of those materials is critical to achieve efficiency.
EDEM software, powered by the Discrete Element Method (DEM), accurately simulates the behavior of rocks, soils, ores, gravel, etc. It provides engineers with crucial insight into how bulk materials will interact with their equipment during a range of operation and process conditions.
• Raw material handling and transportation:
improving performance and reliability of equipment such as transfer chutes, coal wagons, bucket elevators, screw augers and more.
• Processes: optimizing performance of machines such as cone crushers, mills, vibrating screens, dryers and mixers.
• Blast furnace: minimizing segregation in charging process, optimizing material distribution and dispersal, predicting areas of equipment wear.
A Simulation Driven Approach for Evaluating & Improving the Block Lifting Method of Ship Building
This session will introduce you to the Crane CAE Manager from Altair, which is a radically different solution that provides unique advantages for Block Lifting Method consisting of
1. Build - Specific Block Systems
2. Analyse - The planned lifting operations using simulation methods
3. Evaluate - Safety aspects of the planned lifting operation
4. Improve - The system behavior
Using Finite Element Models Beyond Their Upper Frequency Limits in Electric Vehicle Applications
A hybrid finite element formulation that extends the applicability of finite element models to higher frequencies will be discussed. It is based on reducing the size of the finite element model significantly by replacing major parts of the model with equivalent dynamic impedances during the finite element calculations. The Component Mode Synthesis (CMS) approach is combined with analytical solutions of dynamic and static modes for computing appropriate values for the dynamic impedances. The power dissipated by the dynamic impedance elements provides the link to an energy finite element model of the omitted parts for computing their response. Theoretical aspects, the functionality of the implementation, and comparisons between simulations and experiments for production automotive and rotorcraft systems will be presented.
Workflow for commercial antenna patterns
Altair Feko provides the necessary workflow for commercial antenna patterns.
The Next Generation Data Scientist
Gartner recently released their 'Top 10 Data & Analytics Trends for 2020' where they stated that "the collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples".
With Forbes predicting that there will be a shortage of at least 250,000 data scientists in the US alone by 2024, how will our data-driven enterprises survive? Should we empower citizen data scientists and embody a data democratisation approach or is there a better way to optimise our data science teams?
Join us as we discuss 'The Next Generation Data Scientist’ with our expert panel.
What type of person is the Next Generation Data Scientist? How can organisations develop these highly prized people?
Can you explain one of the most advanced data science projects in your organisation and some of the stumbling blocks you have encountered along the way?
What do you see as the most pressing trend in data science? If you had to boil it down to one sentence, what is the most important thing organisations should do to stay ahead of the competition?
PBS Works Technology Day Workshop
The aim is to equip our valued customers with sufficient knowledge to take care of their daily System Administration task. Learn how you can accelerate your HPC and improve resource utilization with industry-leading workload Management system Altair PBS Pro, it is easy to create intelligent policies to manage distributed, mixed-vendor computing assets as a single, unified system. The PBS Professional scheduler is topology-aware and supports GPU scheduling.
Altair HyperLife™ – Temperature Influence
The fatigue strength of a material reduces with an increase in temperature. Temperature influence can be accounted by applying the temperature factor Ctemp to modify the fatigue endurance limit FL.
Tips & Tricks
Altair HyperLife™ – Safety Factor Estimation
Safety factor is calculated based on the endurance limit or target stress (at target life) against the stress amplitude from the working stress history. HyperLife calculates this ratio via two criteria’s.
Tips & Tricks
Altair HyperLife™ – Vibration Fatigue
Vibration fatigue analysis can be performed with loading options to predict fatigue in the frequency domain.
Tips & Tricks
Altair HyperLife™ – Modal Superposition
Fatigue analysis can be performed when modal stresses and modal participation factors are available in two different file inputs.Modal stresses are multiplied by modal participation factor, then summed at each point in time. The modal stress file (geometry) is supported for the H3D file format.HyperLife 2020.1 supports OP2 file support for Modal Superposition The supported modal participation factor file formats are PCH and MRF. Currently, only time domain results (from transient analysis) are supported.
Tips & Tricks
Altair HyperLife™ – Damage and Life Results Contour Per Event
Damage and Life contours are available to plot per Event in the Results Explorer. This output is optional and activated in the Preferences dialog.
Output event wise results helps to interrogate the fatigue results to determine which event(s) and subcases are contributing to the fatigue life.
Tips & Tricks
ATCx Poland 2020 presented by Channel Partner DesArt
Monarch Spotlight Series - Data Snacks: Building Models with Data Prep Studio (DPS)
The newest release of Monarch makes it even easier to build or adjust your models using our Data Prep Studio. From our improved engine version to automatically align your messy data to our Hit Map and Report Verify to ensure your data is being captured correctly, building models with DPS has never been easier.
Data Prep Studio not only improves the way end users now capture data, but it also changes the methods and how we think about modeling. Having the DPS fully integrated means you can spend less time capturing data and more time gaining insight from it. Our experts show you some of the ways we’ve improved the data capturing process in this Monarch Spotlight Series session.
Altair SimSolid - ERP with Constant Loading Tutorial
Learn how to perform a dynamic frequency response analysis and evaluate the equivalent radiated power (ERP) with Constant Loading in Altair SimSolid.
Altair SimSolid - Hydrostatic Pressure Tutorial
Learn how to simulate an hydrostatic pressure in Altair SimSolid.
Altair SimSolid - Random Response Analysis Tutorial
Learn how to perform a random response analysis in Altair SimSolid.
Altair SimSolid - Thermo-structural Coupling Tutorial
Learn how to perform thermo-structural coupling analyses in Altair SimSolid.
SnR Prevention Start at Concept and Design Phase
If you are a designer, Squeak and Rattle test engineer or a maybe just a beginner to the SnR Analysis world, this presentation is for you. We will showcase how you can benefit from simulation as early as the concept design phase by performing a CAD based modal analysis combined with a material compatibility analysis, and perform a Screening Risk Assessment which provides upfront results using a streamlined and easy-to-use workflow in Squeak and Rattle Director.
A CAE based approach for SnR Detection and Prevention
This webinar provides an overview of a typical CAE based approach for SnR detection and prevention and demonstrates how this is achieved through a Risk and Root Cause analysis in Altair Squeak and Rattle Director. We will also discuss how to increase the complexity and fidelity of the model with the progression of development, and the importance of exploring multiple loading scenarios. Throughout the entire process, structural optimization is there as a helpful tool to find solutions to the problems we encounter on the way or even prevent them from the start.
Altair 2020 EM Online Meet-Up #2 with General Motors Israel Connectivity and Antennas Experts
מומחי התקשורת של ג'נרל מוטורס בדיון מרתק על מהפכה שמובילה החברה בתחום הרכבים החכמים: ד"ר יגאל קוצר וד"ר עפר גבעתי מובילים את פיתוחי העתיד של מוצרי החברה. נדון בחדשנות הטכנולוגית, בתהליכים, באתגרים ובפיתוח היכולות הנדרשות, לצד ההזדמנויות בעולם התקשורת של הרכבים החכמים. עולם הרכב עובר מהפכה ומתמקד כיום בארבעה תחומים מרכזיים:
CASE: Connected, Autonomous, Shared, Electric.
בעשור האחרון, החיבוריות והקישוריות יצרו את ה Smart & Connected Car, ובכך איפשרו את פריצת הדרך המשמעותית ביותר. כיום כלי רכב כוללים מאות ואלפי סנסורים, יכולות תוכנה מתקדמות לצד תקשורת לווינים, מכ"מ רכב, תקשורת בין רכבים ובין רכב ליחידות קצה הפרושות בעיר החכמה.
ג'נרל מוטורס (GM), יצרנית הרכבים שנוסדה ב-1908, נחשבת כיום למובילה עולמית בתחום.
Integration of Requirements Management with Electric Motor Design
Phoenix Integration is a recently added member of the Altair Partner Alliance. Its product ModelCenter can create complex, fully automated simulation workflows and link these against Model Based Systems Engineering (MBSE) models. These typically descriptive models can now include accurate prediction of the system performance. This also means that the status of the system requirements can be verified early in the product design cycle, helping to avoid costly mistakes. Using ModelCenter, the systems engineer can explore the possible design options and choose a configuration that represents best value while meeting its requirements. This webinar will explore the application of this approach to a multidisciplinary Electric Motor design problem implemented using Flux (EMAG) tools from Altair.
Designing Agricultural Machinery with EDEM
In this webinar, learn more about EDEM software and how it can be used for the design, performance testing, and optimization of agricultural machinery.
Tractors, combines and forage harvesters are all designed to work with a range of granular materials such as crops, seeds and soils. These materials can impact the performance of the machine and its durability.
EDEM software, powered by the Discrete Element Method (DEM), accurately simulates the behavior of grains, seeds, crops and soils and provides engineers with crucial insight into how materials will interact with a piece of equipment during a range of operation and process conditions.
• Challenges of designing agricultural equipment
• Introducing EDEM simulation technology: overview and CAE integration
• EDEM applications examples:
combine harvesters, tillage tools, fertilizer spreader, grain handling & transport systems, and more
• EDEM workflow demo
Duration: 44 minutes
The Fundamentals of Designing Electric Powertrains Using ChassisSim
As Electric Vehicles become an increasingly important part of the automotive landscape their fundamentals and application is not well understood. This webinar will show you the basics of how an Electric powertrain works, how to do a basic specification and applying this using the Electric Powertrain module in ChassisSim.
Decrease Mechanical Earth Modeling Time while Minimizing Project Risk in Oil and Gas Industry
Altair’s technical experts, Chayan Basak and Sebastián Larrazábal, along with Peter Connolly (President ConnollyGeo) discuss how semi-autonomous tools, Altair Geomechanics Director, can help you to build fast and accurate mechanical earth models, visualize standard results, perform geomechanics specific calculations, and provide efficient interpretation of the results.
The presentation includes a demonstration of simulation technologies designed to enhance geomechanics engineering efficiency.
The Next Generation of Data-Driven Lending
Post COVID-19 and as we navigate our new normal - banking and lending will undoubtedly be transformed. As the economic fallout spreads, financial firms are grappling with a major influx of relief requests from consumer and business customers.
Our panelists discuss whether modern technology, advanced analytics, and a data-driven approach can hold the keys to ensuring banks and fintech leaders continue to scale despite this rapidly evolving credit crisis.
The Future of Self Service in Data & Analytics
Featuring an enviable lineup including; Frederic de Sibert, Global Head of Investment Banking Services Strategists at Goldman Sachs, Paul Downes, COO at Autovista Group, Kerem Talih, General Manager/CFO at Doğuş Otomotiv and Dr. Mamdouh Refaat, Chief Data Scientist at Altair.
This hour-long webinar is full of insight, guidance, and tips from global businesses that are at various stages of their Data & Analytics journeys.
The Future of Data Democratization
Hear from a prestigious panel of experts including David Huguet, Data Lead at SNCF, plus Martijn van Baardwijk, CFO - Continental Europe at Inchcape plc. as we focus on;
- How to democratise data inside and outside your company;
- How to manage the security and risk associated with data democratization;
- The improvements brought by having unified access to data.
Chaired by Anthony Townsend, Director of EMEA Sales, Altair.
The Future of Augmented Analytics
Augmented Analytics is being touted as the next frontier in AI’s Evolution with Gartner defining it as “the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data”.
Knowledge Studio Spotlight Series: Optimizing Marketing Retention Campaigns Using Data Analytics
Marketers need to better understand changing preferences and shifting demand so they can personalize their interactions. Altair Data Analytics solutions help clients derive deeper, faster customer and prospect insights by blending and analyzing data across all channels, without any coding or IT dependencies.
Battery Modeling and Dynamic Simulation for Electric Vehicles
As oil prices rise, there is an increased focus on developing high efficiency, cost-effective electric vehicles whose performance will be competitive with gas-powered cars. The automotive industry is turning to virtual prototyping for vehicle development to significantly reduce development times and costs, and so it is essential that they have efficient, high-fidelity battery models as part of their electric vehicle development.
MapleSim allows you to incorporate realistic physics-based models of battery cells into your multidomain system-level models. This webinar covers new approaches to modeling and simulation of EVs and HEVs. Learn about the MapleSim and see how system-level modeling can be used to create high-fidelity EV and HEV models.
Altair HyperView™ – Design Sensitivity Analysis Utility
Design Sensitivity Analysis Utility
• Design sensitivity represents a change in response with respect to a change in a design variable, which is typically used for optimization.
• Design sensitivity can also be used as a diagnostic tool to understand what components in the system (through associated properties referenced by design variables) have controlling influence on the response in question.
• Traditionally, design sensitivity can be cumbersome to request for frequency response analysis. It can only be requested as a part of an optimization run, where multiple design responses have to be created for each frequency response at each analysis frequency; objective function and constraints have to be defined and set in specific ways to force sensitivity output at all analysis frequencies for all design variables.
• In HyperGraph 2D, the Design Sensitivity Analysis utility allows you to plot and rank design sensitivity curves from an OptiStruct dsa.0.h3d file.
Tips & Tricks
Altair HyperView™ – OrderCut Analysis Utility
OrderCut Analysis Utility
• OrderCut Analysis utility generates and post-processes engine order related data from an OptiStruct or Nastran frequency response analysis that contains either RPM-based loading subcases or order-based loading subcases.
• Background, engine related noise, and vibration problems are typically linked to engine orders that are harmonic multiples of the engine’s fundamental firing frequency.
• Understanding the order content of the problem signal is a way to identify the physical phenomenon that is causing the problem.
• To solve the problem, you can adjust the design parameters to modify the engine operation, which in turn reduces the problem orders.
Tips & Tricks
Altair HyperView™ – Multiple Sample Analysis Utility
Multiple Sample Analysis Utility
• This utility allows to post-process results from a Multiple Sample Analysis (MSA), including plotting a spread of responses (+/-95% and mean).
• You can choose Structures or Loads MSA processes:
o Structures MSA processes results from a randomization of modal and connection parameters.
o Loads MSA processes results from a randomization of wheel imbalance forces.
• Sensitive parameters filtering is also supported for both Structures MSA and Loads MSA.
Tips & Tricks
Altair HyperView™ – Radiated Sound Utility
Radiated Sound Utility
Radiated Sound Output using Rayleigh’s Integral can be requested for grid points on the structural surface and in the exterior acoustic field. Grid points are used to represent microphones that record the radiated sound, sound power, and sound intensity.
Tips & Tricks
Altair HyperView™ – Mount Optimization Utility
The Mount Optimization utility helps to predict powertrain rigid body modefrequencies and kinetic energy distribution, which play a critical role in optimizing themount stiffness and layout configuration, by decoupling powertrain rigid body modes andreducing vibration transmission.
Tips & Tricks
Monarch Spotlight Series - Data Snacks: Maximizing the Use of Calculated Fields
Not all data are created equal - learn how to leverage Monarch's Calculated Fields feature to create dynamic functions to apply to your entire data sets. Our Solutions Specialist, Joseph Alvarez, shows you some of the tips and tricks on how to get the most of out your data.
How CEVT Improves Vehicle Architecture and Eliminates BSR Through Simulation - Part 2
Improving the ESL using Complete Vehicle Correlation
In the previous webinar, the development of an ESL has been shown based on a complete vehicle simulation. In order to validate this new approach, a comprehensive correlation work has been performed. Using the dynamic distortion in all closure body openings as correlation criteria offer a unique possibility to increase the understanding of the load from both the engine and the wheel suspension.
This webinar presents this correlation where a test vehicle is driven on different test tracks both in reality and virtually.
Presenter: Jens Weber | CAE Engineer, CEVT
Enhancing Your RPA Investment With Data Preparation
As more businesses use Robotic Process Automation (RPA) as a means to streamline operations and assess efficiency gaps, there are hurdles to fully realizing its benefits. For instance, existing data is often challenging for RPA processes to handle. Without a good solution, studies indicate that 80% of the time spent on RPA has to do with data preparation.
Discover how you can enhance your ongoing RPA investment with the right data analytics stack.
Virtual Panel - Using the Discrete Element Method to Simulate Pharmaceutical Manufacturing Processes
Watch this virtual panel presentation & discussion to hear insights from 4 industry experts on the use of the Discrete Element Method as a modelling tool for optimizing pharmaceutical manufacturing processes.
• Challenges of understanding powder systems
• Typical DEM applications in process and product development: mixing, coating, die filling, etc.
• Regulatory framework: using models for regulatory purposes
• Digital design / digital twin
• How DEM can help fast and efficient drug development and manufacturing in the current context
Dr. Fernando Muzzio
Distinguished Professor of Chemical and Biochemical Engineering
Dr. Liang Li
Process Engineering Scientist
The Janssen Pharmaceutical Companies of Johnson & Johnson
Dr. Nima Yazdanpanah
Dr. Maitraye Sen
Senior Consultant Engineer
Eli Lilly and Company
Optical Modeling and Virtual Prototyping for Biomedical Systems and Applications
Optical based biomedical systems can span a wide range of applications from wearables, pulse oximeters, absorption spectroscopy, fluorescence microscopy, and many, many others. These systems use light sources of varying types and wavelength ranges, including UV, visible, and infrared.
Optical design and analysis programs such as TracePro, available through the Altair Partner Alliance, allow engineers and designers to design, analyze, and optimize these types of systems in a virtual environment. These allow for easy and efficient modification of the system parameters and helps to speed the design process and reduce development costs.
Simulating Ride, Handling and Durability of Two and Three-Wheeled Vehicles
Two and Three Wheeler companies be it existing OEMs, new EV start-ups or others serving this segment want to shorten the product development time and get to market faster. Designing a new two/three wheeled vehicle addressing refined customer expectations requires performance to be at par with established norms when it comes to vehicle ride, handling, and durability.
To address this need Altair developed a New Unified solution for simulating two and three wheeled vehicles as a part of the HyperWorks 2020 release. The solution is aimed at companies designing and manufacturing two and three wheeled vehicles with IC or Electric engines. The solution is beneficial to both, leaning and non-leaning vehicles and helps engineers predict vehicle dynamics & control, durability and ride and comfort of two and three wheeled vehicles.
Solve Coexistence and Interference Issues in Smart Devices Using Altair EM Solution
Wireless electronic devices these days often support both Bluetooth and Wi-Fi connectivity. The 2.4 GHz Wi-Fi frequency band is very close to the Bluetooth operating frequency. The co-existence of these two technologies within the same device lead to interference issues.
This webinar presents Altair’s EM solution to solve the coexistence and interference issues in smart devices.
Altair 2020 Mechanical Online Meet-Up #1 :ייעול תהליך קדם תכן מכני באמצעות SimSolid
מיט-אפ עם דניאל ז'נו, מהנדס אנליזה וסימולציה מכנית: בהרבה ארגונים העוסקים בתכן מכני קיים צוואר בקבוק הנובע מעומס על מחלקות האנליזה כתוצאה מכך שלמתכנן המכני אין כלים פשוטים מספיק אשר יאפשרו לו לשפר את תכנונו הראשוני. אלטאר ישראל מציגה כלי חדשני הנקרא SimSolid, שאינו מצריך ידע מקדים בתחום האלמנטים הסופיים, ומיועד בעיקר למתכננים המכנים אך גם אנליסטים ימצאו בו שימושיות גבוהה. מטרתו של כלי זה הוא לצמצם את מס' האיטרציות בין המתכנן לאנליסט. כלי זה מספק סביבת עבודה המאפשרת את הגדרת אנליזות שונות (סטטיות, מודליות, דינמיות ועוד) בצורה מהירה מאוד, מאפשר להתמודד בקלות עם הגדרת מגעים וברגים (אין צורך להסירם מה-CAD) ללא צורך בפישוטי גיאומטריה ורישות.
How CEVT Improves Vehicle Architecture and Eliminates BSR Through Simulation - Part 1
ESL Development Based on Simulation - Application example
The body stiffness has a major impact on the Squeak & Rattle performance of a car. Since the body structure of electrical/autonomous cars will differ clearly from traditional bodies, an enhanced requirement is needed to limit the distortion in the closure openings.
This webinar presents a new approach of defining a requirement based on closure deformations using an equivalent static load (ESL), which considers both the reduction from a complete vehicle to a BIG and from a dynamic load to a static load. In addition, an example is shown how ESL can be used as input for body optimization.
Presenter: Viktor Jonsson | CAE Engineer (Consultant), CEVT
A Journey in Machine Learning: Updates and Use Cases From Angoss to Altair Knowledge Studio
Data Analytics is at the core of driving business value through digital transformation. Transparency in model building and explaining model outcomes leads to confident decision making. Learn how Altair Knowledge Studio fits into an organization’s data-driven approach to solve complex business questions.
Financial Fraud Mitigation with Data Analytics
Fraud mitigation requires technologies and business processes that are flexible in their construct, easily understood by all who are involved in fraud prevention, and are agile enough to adapt to new attacks without needing to be rebuilt from scratch.
Data from all business units and functional silos must be included to create a holistic view of the success of fraud operations. The insight found in classical auditing techniques and predictive machine learning models, combined with the expertise of fraud analysts can foster an evidenced-based methodology to quickly respond to new financial crimes.