Resource Library

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

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 Reni

ArcelorMittal is the world’s leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 17 countries employing more than 190,000 people.

In a recent project, a large-scale charging chute of a sinter cooler plant in Fos-Sur-Mer had to be optimized by

Engineers and Designers are under constant pressure to lightweight components, reduce cost, improve quality and increase the throughput of manufacturing.

As additive manufacturing (AM) has become more widely adopted, there has been the promise of being able to take full advantage of weight saving

Explore what it means to take the modern-day factory to the next level with predictive maintenance, predictive quality, and monitoring and controlling built in.

Alvaro Perez Bello, Sr. Product Manager - SmartWorks IoT, discusses the reasons for all the talk around Industry 4.0, the impact of mark

Altair® EDEM™ is a discrete element method solver that enables users to accurately simulate particulate processes. When coupled with Altair Computational Fluid Dynamics (AcuSolve), these two solutions enable the simulation and analysis of two-phas...

The filling and solidification process of molten metals are very complex in nature and the phenomenon of these process lead to casting defects.​  The defects like shrinkage cavity, porosity, cold shut, and sink, etc. should be identified, and at t...

One of the essential problems involved in managing large datasets is ensuring they’re complete. Many use cases, including materials databases, can use machine learning (ML) and artificial intelligence (AI) algorithms to accurately identify and fil...

Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also op...

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

Exploring the challenges and opportunities of the circular economy. Sustainability is driving new and innovative business practices across the globe as companies find ways to harmonize CO2 emission reduction with economic goals. With circular prod...

In this webinar, learn more about Altair EDEM software and how it can help optimize a range of pharmaceutical manufacturing processes including mixing, milling, tableting, and tablet coating.

EDEM accurately simulates and analyzes the behavior of powders, tablets and capsules. It can prov

This presentation provides an introduction to the Discrete Element Method (DEM) and its application to solve powder processing challenges. Use cases presented include the use of Altair EDEM to simulate a twin screw extruder as well as a proof of c...

Etteplan offers engineering solutions to the world’s leading manufacturing companies for industrial equipment and plant engineering. Etteplan’s client Wärtsilä were looking to redesign their valve spring press tools used for mounting cylinder head...

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.

Anthony Mc Loughlin VP Sales Data Analytics, EMEA presents how to empower engineering to make data & AI work.

Engineers in manufacturing industries can spend as much as 50% of their time acquiring and synthesizing the data required to perform their day-to-day roles. We are convinced that engineers skilled in the use of AI toolsets hold the key to reducing...

In this webinar, we will discuss how Altair EDEM software can help the food manufacturing industry address a range of challenges.

EDEM accurately simulates the behavior of various foods such as grains, coffee beans, spices, fruits, or dairy powders and provides key insight into a range of op

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.

The ever-changing worlds of manufacturing and data analytics are now converging—and this intersection will soon greatly influence process management and quality engineering.
Yet at all levels, quality professionals are grappling with the what and how of integrating data analytics.

Altair Data An

Coating of particulate solids by a thin film layer is of interest in many industrial applications such as seed and tablet coating. In seed processing, seeds are commonly coated with a protective coating layer consisting of fertilizers and crop pr...

Samsung SDI is a global market leader in the high technology and environmental battery industry. The company moved from digital display control circuits to battery control circuits, requiring a different approach to new electronic designs and rela...

Any industry that produces bulk quantities of goods such as pharmaceuticals, food, chemicals, or cosmetics, is seeking to produce these products consistently while reducing cost factors like waste and down time. Due to the nature of process manufa...

Advancements in 3D printing and design optimization for additive manufacturing (AM) is changing the industry’s overall approach to product design. This webinar features Altair Inspire™ a solution for designing parts through additive manufacturing ...

Machine learning technology leveraging historical and real-time data from sensors mounted to production equipment as well as PLCs, SCADA, and other sources can accurately flag potential failures of whole machines and/or critical components before ...

The Discrete Element Method (DEM) is increasingly being used to simulate powders and particulates that are common in many industrial and natural processes. Since DEM computes at individual particle level, it has the potential to capture the under...

Pneumatic conveying pipelines undergo series of direction changes due to space restrictions, site location, or position of receiving silos and hoppers. When dairy powder and air flows around pipe bends or experiences any change in flow direction d...

Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate em...

Particle processing is one of the core activity of pharmaceutical products and processes development, manufacturing, and also drug delivery. The powder behavior and processing performance have direct impacts on process robustness, yield, and final product performance (drug delivery). 

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Discrete Element Method has drawn an increasing attention in both academia and in industry. While there are tremendous successes reported in open source, many practical challenges exist when applying DEM modelling to pharmaceutical processes devel...

In chemical process industries, process equipment were designed and optimized based on the designer’s experience, available empirical correlations and experimental studies in the past. However, in recent years, Discrete Element Method (DEM) has be...

The presentation discusses the problems of designing screw conveyors with regard to the determination of the exploitation parameters (mass efficiency and power demand) when current calculation methods are in use. To improve the designing process a...

Many industries and applications involve bulk and granular materials interacting with machines and fluids. The use of Multiphysics and Altair EDEM software can play a major role when trying to understand, predict and optimize bulk material handling equipment and processes.

This presentation

The production of hot mix asphalt (HMA) involves drying and heating aggregates and mixing and coating the aggregates with liquid asphalt bitumen. This process presents many simulation challenges.  As an equipment manufacturer Astec uses simulation...

Sweden-based Nolato, a global provider of injection molded parts for numerous industrial and medical applications has developed Nolava as a collaborative project with companies including Altair and Avalon Innovation. Nolava is Nolato’s medical sel...

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, qu...

Watch this OnDemand Data Analytics Webinar to learn how Altair Monarch can help Procurement and Finance team improve their data efficiency and automate their data preparation.

Watch examples of applications of Altair EDEM in the pharmaceutical, food, chemicals and additive manufacturing industries.

EDEM software, powered by the Discrete Element Method (DEM), enables companies to accurately simulate and analyze the behavior of bulk solids, providing key informatio

Fluidized beds have been in use for almost 100 years for a wide range of processes including powder mixing, powder and tablet coating and powder bed heating and drying. However, the understanding of fluidized beds is still limited and multiple fac...

The video presents how EDEM can be used to analyze the mixing efficiency within a High Shear Granulator filled with 10 million particles. In this example, the mixing process of two powders with different particle size is shown. EDEM allows to visu...