From mine to blast furnace - optimizing the iron & steelmaking process with bulk material simulation

This webinar will show you how simulation tools and state of the art modeling techniques enable users to virtually test next generation blast furnace operation and processes and transform iron & steelmaking processes in line with your decarbonization goals. By applying the presented tools and methods, you can learn how to optimize the different stages of ironmaking processes such as: transportation and raw material handling, mineral processing, blast furnace and sintering.

[Credit Risk Webinar Series] Visualise and validate credit risk models

With this webinar, you will be able to efficiently validate credit risk models. We will compare and interpret various validation strategies. You will learn how to compare outputs for models: stability, discrimination, and calibration. You will learn to visualize and efficiently communicate model performance.

[Credit Risk Webinar Series] Build modern credit-risk models using Machine Learning

With the right data, in this webinar, you will learn to build credit risk models through machine learning techniques and understand the impact of the economic downturn on the model outcome. You will develop a good understanding of the pitfalls of machine learning and the merits relative to econometric regression techniques.

[Credit Risk Webinar Series] Data preparation for income and expense shocks

Having the right data for the analytics can give you better and more accurate results. In this webinar, we will try to understand the challenges in the credit risk industry. Build an understanding on the role of liquidity, equity, and many other key banking features.

HyperWorks Application at Daikin R&D Malaysia - ATCx Electronics Japan

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

Size Optimization in Two-Wheeler Tubular Frame combining OptiStruct, MotionSolve and HyperStudy

The importance of light weight frames in automobiles is well known but becomes even more important in electric vehicles for direct gain it brings in range. Topology Optimization followed by Size/Gauge optimization very early in product life cycle serves as an effective method to determine the optimal material distribution path and tube sizing at the initial design phase itself so that the frame can be designed at an optimal level before heading to validation phase. It is usual practice to perform size optimization with 1D beam model. However, stresses due to geometric complexities including welds, and joints are not accurately predicted with the beam model and hence the optimization results are in a crude state. The method explored in this study explores using high fidelity durability model to perform size optimization which will increase the accuracy of the results.

Usage of SIMSOLID for Rapid Product Development at Ather

Usage of SIMSOLID for Rapid Product Development at Ather - Presented ATC 2019

Vibro-acoustic study of a transmission system with coupling between Flux and OptiStruct

Vibro-acoustic study of a transmission system with coupling between Flux and OptiStruct

Guide to Mitigating Credit Risk

Risk assessment is crucial for any enterprise that extends credit to customers. Commonly known as credit scoring, the process helps lenders make confident, informed decisions on whether prospective customers will honor their debt. Credit scoring is typically associated with the banking and financial service sectors, but is required across a wide array of businesses, including telecoms, retail, and insurance. In most cases, credit scoring isn’t just a business tool, it’s a regulatory necessity. And credit scoring is a vast industry. In the U.S. alone, recent consumer debt valuations hover over $14 trillion. Credit scoring is a complex task that involves wrangling a diverse range and large volume of data. Based on predictive modeling, the use of artificial intelligence (AI) and machine learning (ML) is well established and widespread. And because of the data burden, credit risk firms were some of the earliest organizations to adopt the technology. As such, the credit risk sector can claim to be a pioneer in AI and ML utilization.

Unlock the Power of Data

Data in all its glory, but the real challenge lies in generating value from the data. We all know that semi-structured data like PDFs and text files, or even structured sources of data is useless unless we can extract the relevant information and visualize it in an understandable way. Compaines around the world collect a huge amount of data every day. This data would be a fantastic source of information for decision making, if we could only make it understandable for us. This is where most companies loses the battle. Combine data from multiple sources is necessary for nearly every department to get accurate answers to critical questions. Manually cleaning, joining, transforming reports for reconciliation takes an enormous amount of time, is repetitive and error prone.

Measuring Success in Semiconductor Design Optimization, What Metrics Matter?

There are few fields in the world as competitive as semiconductor design exploration and verification. Teams might run tens of millions of compute jobs in a single day on their quest to bring new chips to market first, requiring vast quantities of compute and increasingly, cloud and emulator resources, as well as expensive EDA licenses, and the all-important resource, time. In this roundtable, experts will discuss the license-, job-, compute- and host-based metrics that the world’s leading semiconductor companies measure and tune for, highlighting the optimization strategies that edge out the competition and drive up profitability.

Shortening Time to Solution with AcuSolve on Azure’s New HBv3 Offering

With faster computers comes new complexities that, if understood, can be mastered to yield significant application performance and cost improvements. In this breakout session, we will investigate how the Azure HBv3 offering, with increased memory bandwidth and L3 cache, can drastically reduce time to solution for AcuSolve at scale. We will cover some benchmarks and show how they perform on Azure at various scale points. This data will enable AcuSolve users to reduce time to solution so they can dedicate more time to improving their product.

Innovation is a Partnership

Keeping pace with the growth of tools and technologies for the digital world is daunting yet crucial to success of the innovator. The future of high-performance computing, though, is trending to be more heterogenous, federated, and complex. AMD makes great silicon products and partners with great software makers like Altair, but more is needed to help users navigate the expanding space of solutions. Hear Kumaran Siva, Corporate Vice President, Software & Systems Business Development, at AMD, provide why the technology partnerships must extend all the way to the innovators themselves.

Powering New Possibilities in the Cloud

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.

Building the Future of HPC Workload Management at ANL

As Argonne National Laboratory prepares to support researchers tackling critical problems on its Polaris supercomputer and eventually its Exascale system, Aurora, William (Bill) Allcock, Manager, ALCF Advanced Integration Group, outlines the critical role of workload management in advancing what’s possible with HPC. He will share how his team’s initial exploration of open-source workload management technology led to their adoption of Altair’s commercial solution, PBS Professional, in 2021, and to a partnership between HPC experts at ANL and Altair that will shepherd workload management technology into the future of Exascale and beyond.​

Accelerating Breakthrough Timelines in Life Sciences

The importance of accelerating research timelines in life sciences has been front and center amid COVID-19 pandemic, and it’s made possible by high-performance computing. In this roundtable, HPC experts will discuss how they provide scientists with cost-effective compute at the scale required to support life sciences workloads, minimizing disruption to end users while managing some of the world’s most critical datasets in the cloud. Topics will include:​ - HPC for accelerating pharmaceutical, medical device and healthcare consumer goods workloads​ - Kubernetes and containers and their impact on life sciences workflows​ - Application support including integration with NextFlow, SnakeMake, Singularity and more​ - Navigating the cloud landscape: cost optimization, security, support ​ - Workload optimization including for migration: job level I/O monitoring for maximum efficiency and utilization, dependency analysis for heterogeneous cluster automation​

HPC in Weather and Climate

Weather and climate centers worldwide rely on the power of high-performance computing (HPC) to track, analyze, simulate and predict the behavior of weather systems, climate patterns and other atmospheric phenomena. In this roundtable, experts from leading weather and climate centers across the globe will detail how they harness HPC to fuel this critically important research. Topics will include:​ - Advanced workload orchestration to optimize resource utilization and accelerate research timelines​ - Maintaining critical uptime: alerting, support and redundancy measures​ - Storage and I/O optimization to manage massive data volumes​ - Machine learning and artificial intelligence to accelerate simulation timelines and improve prediction

High-performance Computing: Decades of Technological Advancement Give Drastically New Meaning to “HPC”

At this moment, Altair has the largest brain trust of HPC expertise in the world. Join the experts who have shepherded technology as original as PBS, Sun Grid Engine and Runtime Design Automation into today’s high stakes commercial HPC space. They’ll discuss the decades of advancement, development and acquisition that went into assembling the most comprehensive HPC optimization portfolio on the market, preparing us for an all new definition of “high performance computing.”​

Turbocharge Engineering Productivity, No IT Expertise Required

HPC and cloud accessibility make it possible to scale exploration exponentially, but the key to breakthrough results is ensuring time spent interfacing with IT doesn’t scale accordingly. In this breakout session just for simulation application end users, attendees will see how the most competitive teams access their software, their data, and powerful HPC resources to turbocharge productivity from anywhere in the world. From launching software on any device and accelerating jobs with on-demand solving power to seamlessly visualizing, sharing, and managing data with their team, don’t miss these demos of how the modern engineering workflow incorporates the acceleration benefits of HPC and cloud – with none of the added complexity.​

Cloud for HPC Pros: Expand HPC Infrastructure On-demand with Cost-effective, Multi-cloud Scaling

Beyond empowering your team with flexible compute resources to scale productivity, cloud bursting technology provides running and automation opportunities that make real impact on the metrics that matter most to your organization. Join this breakout session for HPC stakeholders to see how to manage, optimize and forecast compute resources, bursting to and between your on-prem resources and Oracle Cloud Infrastructure, Google Cloud Platform, Microsoft Azure, and Amazon Web Services (AWS). “It just works” may be the magic words for end users, but in this session we’ll explore all that goes into serving up the right compute resources for every workload.

Altair HPC: Scaling for the Future

The massive exploration of ideas through computational science and artificial intelligence is fueled by high-performance computing. In the cloud, on-premises, at the edge, and everywhere in between, explore the HPC technology maximizing HPC throughput and utilization for breakthrough results.

A Cloud for Every Workload: Which Model is Right for You?​

As the leading provider of workload management and compute optimization technology for three decades, Altair has helped enterprise computing customers at the cutting edge of HPC move critical workloads to the cloud. Now, we’re helping thousands of simulation software end users enticed by the promise of increasing exploration potential with “infinite” scalability do the same. Whether you’re an HPC expert looking for tools to tune and optimize or an end user looking to boost productivity without IT complexity, join cloud expert Rick Watkins for a discussion on the many ways to get to “cloud,” and how to know which model will get you breakthrough results.

Harnessing the Great Acceleration

The next big technology trends that will be driven by supercomputing.​

Three Trends Shaping the Future of HPC

Three major trends have emerged over the last decade and continue to dominate the conversation in HPC: the race to Exascale, the rise of AI, and the emergence of Cloud. We will discuss how these trends are individually and collectively shaping the future of HPC, from the technologies we use to how we use them, along with how they are giving rise to new opportunities and challenges for providers and users of HPC.​

High Performance Computing on Google Cloud

High Performance Computing on Google Cloud

Top Use Cases: CADMOULD and VARIMOS

Presentation introducing a few of the top use cases for the advanced plastic injection molding simulation software, CADMOULD and VARIMOS

Champion/Challenger Techniques Improve AI Performance

To successfully operationalize machine learning (ML) algorithms, data science teams must be able to continuously update their models so they can improve their predictive performance. The champion/challenger approach is a well-documented method for optimizing models and making adjustments that accounts for changes in the nature and quality of data inputs. Altair’s ML products make it easy to incorporate champion challenger processes into data analytics workflows.

Multiphysics Analysis of E-Motors with Altair SimLab

When designing an electric motor, constraints from different physics must be fulfilled. Electric motor design requires multi-physics analysis: Altair® SimLab® provides a single user experience for all these different physics. Inside SimLab, Altair® Flux® can be invoked to run the electromagnetic analysis. Once the electromagnetic analysis is finished, the magnetic force information can be applied as loading conditions for noise, vibration, and harshness (NVH) analysis using Altair® OptiStruct®. And the loss distribution (stator/rotor losses, winding loss) can be applied as heat sources for CFD analysis using Altair® AcuSolve®. Finally, Altair® HyperStudy® serves as a multidisciplinary optimization platform for electric motor design. Learn more at altair.com/simlab-applications

Innovative Topics and Advancements in Optimization

Learn about the latest updates and advancements in optimization. From leveraging the power of composite material optimization to multi-model optimization (MMO) linking the design variable through different engineering models and applying failsafe as your engineering constrain to your products. Altair OptiStruct seamlessly integrates structural and modal optimization and analysis and provides an integrated platform for advanced optimization topics.

Accelerate Agricultural Machinery design with Altair EDEM granular material Simulation

introduction to Altair EDEM and showcase how the tool can be used to design, test (performance testing), and improve the efficiency of agricultural machinery thus leading to shorter design cycles, less prototyping, and improved machine performance.

Squeak & Rattle Analysis of Automotive Interior’s by using Altair’s SnR Director

Squeak and rattle in the automotive industry term for the audible engineering challenges faced by all vehicle and component engineers. Minimizing Squeak and rattle is of paramount importance when designing vehicle components and whole vehicle assemblies.

Top Use Cases: TaniqWind Design

Presentation introducing a few of the top use cases for the filament winding software, TaniqWind Design.

Data Science for Engineers Series 2: Predictive Modeling and Evaluation

In the second installment of this Data Science for Engineering series, we covered:

• Predictive modeling and evaluation techniques
• The Cross-Industry Standard Process for Data Mining (CRISP-DM) framework
• Spotlight on Altair customer stories - Ford Motor Company and Renishaw
• Technical demonstration of building machine learning models for predictive maintenance, testing, and quality analysis
• Live Q&A Session
Webinars

Leading-Edge Electric Motors and Drives Development for the Electrification of Vehicles

This webinar focuses on the design of electric motors and will show how multiphysics simulation and optimization allow to innovate and reduce costs, while considering multiple design constraints. Spin Applicazioni Magnetiche, a company creating innovative solutions of rare earth free synchronous reluctance motors for various power levels and applications will present a practical use case, including a detailed comparison between simulation and test results, considering electromagnetic, thermal and vibration responses.

Top Use Cases: XenomatiX Road Data

Presentation introducing a few of the top use cases for XenomatiX Road Data.

Top Use Cases: ISVPG

Presentation introducing a few of the top use cases for IDIADA's Spain Virtual Proving Ground (ISVPG).

Webinar: How to create migrate and Run SAS Language Programs with Altair Analytics and Drive Cost Savings by 70%

Altair Analytics allows your data to grow confidently keeping costs under control while the platform continues to scale. It helps build a modern and future-proof analytics environment that delivers high-value business insights while maximizing ROI and cost savings.

Altair Analytics Workbench™ Overview

Altair Analytics Workbench is a sophisticated coding environment that’s ideal for developing models and programs written in the SAS language. With it, developers can include Python, R, or SQL code in their SAS language programs, and it requires no third-party software to run SAS language programs. The platform also provides a drag-and-drop workflow where users can develop models and programs without needing to write any code. This video presents a short introduction to the capabilities of Altair Analytics Workbench software.

Altair Analytics Hub™ Overview

Altair Analytics Hub provides centralized governance and deployment services for every step in the data analytics lifecycle. It enables you to govern your analytics enterprise and deploy programs and models coded in the SAS language, Python, and R as APIs for use in real time and on demand business applications. The software’s governance capabilities support central control of users and access to data sources. Use Altair Analytics Hub’s simple interface to deploy analytical programs, models, and workflows as scheduled tasks with execution decision rules, or simply deploy them to appropriate internal business users or external customers for shared and on-demand execution. Altair Analytics Hub handles programs and models coded in the SAS language, Python, or R. You can also deploy workflows created with Altair Analytics Workbench™.

Designing for Sustainability - Reducing the Carbon Footprint with Embedded Carbon for Large Scale, Hybrid Timber Structures

Bush Bohlman was required to perform the structural analysis and timber design for the British Columbia Institute of Technology, (BCIT), student plaza, a pedestrian and public transport user gateway for the institute. The structure needed to establish a strong campus identity with a biophilic design and demonstrable support for sustainable building practices while ensuring structural safety according to local design codes. The hybrid mass timber structure consists of a Cross-Laminated Timber (CLT) canopy, CLT columns, and steel columns. By using S-TIMBER, the engineers were able to simulate the complex two-way bending behavior of the cantilevering roof panels and asymmetrical column layout. Having the model in S-TIMBER allowed for changes to be analyzed and re-designed, without the need to manually design individual timber and steel elements. S-TIMBER's design reports presented the design calculations concisely, yet transparently, for faster and easier reviews.

Manage and Forecast Vehicle Weight to Optimize Your Designs

An introductory webinar to Weight Data Tool by TGM Lightweight Solutions GmbH, available through the Altair Partner Alliance. Weight Data Tool (WDT) gives users the power to evaluate vehicle mass properties via automatic reports, and lets users track data history, origin, and maturity for all those properties. It also provides vehicles’ weight and target breakdowns, tracks tolerance and configuration uncertainties, forecasts mass properties, manages risk, and lets users compare different vehicle variants and separate vehicles. WDT will allow Altair users to cut down on Excel calculations, import data from Excel and SAP, store vehicle data in a centralized location, and more.

Top Use Cases: XLDyn

Presentation introducing a few of the top use cases for the model based system engineering software, XLDyn.

Full Wave Design of a Compact Ka-Band Wideband Orthomode Transducer

In this webinar, Sicilsat® Communications, a company specializing in the design and supply of highly reliable satellite systems, will present how their wideband orthomode transducer (OMT) operating in Ka-Band was designed and optimized using µWave Wizard™ design software, available through the Altair Partner Alliance. This component, designed for feeding a 7.5 meter monopulse antenna, has been realized as a doubly symmetrical design with four concentric cylinders placed in the center of the structure for improved return loss and bandwidth. In the feed optimization phase, performance goals are achieved in accelerated time, thanks to various very efficient optimizers available in µWave Wizard. Development time was also significantly reduced by taking advantage of fully parameterized components already present in the µWave Wizard component libraries, resulting in a simplified structure with excellent radio frequency (RF) performance, ideally suited for cost efficient manufacturing. The µWave Wizard designed Ka-Band wideband OMT can be exported into other Altair products for post processing, such as the feed component in Altair® Feko® antenna design software. Featuring µWave Wizard™ by MICIAN GmbH, available through the Altair Partner Alliance On-demand recording length: 20 minutes

AI and Machine Learning for Engineering Design Generation and Optimization

Learn how Machine Learning and Artificial Intelligence can help you generate better design and reduce time to market and explore your design parameters. In the webinar, using Altair HyperWorks' Design Explorer, an end-to-end workflow for real-time performance prediction you will learn how the convergence of traditional CAE and artificial intelligence enables engineers to explore and optimize their product performance and robustness.

Improve Efficiency and Profitability Accuracy of Mortgage Servicing Operations

Altair’s data analytics platform helps major banks and nonbank financial institutions transform the mortgage servicing process. Altair tools handle every phase of the data lifecycle, eliminate data silos, and provide decision-makers with excellent visibility into risk and profitability. Click here to explore high impact Altair Mortgage Data Solutions.

How to Improve and Optimize the Design of Optical Systems

Designing modern optical systems can be a complex and difficult task. There are many factors that come into play, such as materials, space constraints, performance, and many more. Using optical design and analysis software such as TracePro gives scientists, engineers, and designers the ability to work in a virtual environment during the design process. Models can be created in TracePro or imported from a CAD program, allowing users to build and test a multitude of designs in a short period of time. Working in TracePro accelerates the development process, reduces cost and improves results. In this on-demand webinar, we will look at a few examples of how TracePro can be used to analyze a system and improve its performance. Featuring TracePro by Lambda available through the Altair Partner Alliance. On-demand recording length: 23 minutes

Altair Enlighten Award Webinar Series - APAC

Altair Enlighten Award winners share their journey of innovation to develop award-winning technology solutions that have significantly advanced lightweighting and sustainability for vehicles. · How does building lighter vehicles impact the challenge of meeting emission targets? · What is the value of lightweighting for e-mobility beyond the extended range? · What are some of the latest trends for Lightweight Design? · Which materials and production processes allow for lighter and sustainable components? · What is the fundamental significance of sustainable lightweight construction, in view of climate change and emission limits? · What are the sustainability initiatives driving the trends of the future?

Webinar: Your Global Partner to Boost Electrification Projects

The path towards electrification requires significant investment, changes to technologies, development processes and even organizational structures. This introductory webinar will reveal Altair's simulation- and data-driven design tools to accelerate all electrification projects by helping to make good decisions early. The session will cover solutions for the design of the various parts of electric drive systems, from the battery to the wheels; while considering system integration and the architecture changes that must be made at vehicle level to build innovative energy efficient electric mobility solutions.