Guide to Process Manufacturing

Data drives vital elements of our society, and the ability to capture, interpret, and leverage critical data is one of Altair’s core differentiators. While Altair’s data analytics tools are applied to complex problems involving manufacturing efficiency, product design, process automation, and securities trading, they’re also useful in a variety of more common business intelligence applications, too. Explore how machine learning drives EV adoption insights - click here. An Altair team undertook a project utilizing Altair Knowledge Studio® machine learning (ML) software and Altair Panopticon™ data visualization tools to investigate a newsworthy topic of interest today: the adoption level of electric vehicles, including both BEVs and PHEVs, in the United States at the county level. This guide explains the team’s findings and the process they used to arrive at their conclusions.

To get a beautifully designed electronic product safely delivered to your customer, the work must start at the product design phase. Leveraging simulation-driven design, manufacturers are gaining greater insight and control over the development of innovative products, consistent manufacturing processes, and cost-effective, sustainable packaging.

Manufacturers today are tasked with designing smart, connected products at a breakneck pace to stay ahead of the competition. As performance demands continually increase, packaging sizes become smaller, and device connectivity becomes more critical, schematic engineers and product designers need ways to make efficient design decisions and collaborate with one another to optimize complex interconnected mechanical and electromagnetic systems. To develop the next generation of smart products, organizations are turning simulation to improve device performance and drive profitability.

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, quality, sales, customer acceptance, and overall efficiency.

Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns, credit card purchases, under and misreporting of tax information, and mortgage and consumer loan applications.

This eBook discusses the challenges linked to designing equipment intended to handle rocks, soils, ores and gravel. It introduces EDEM -bulk material simulation software- and explains how it can be used for the design, performance testing, and optimization of construction and mining equipment. The following topics are covered: - Challenges of designing heavy equipment handling bulk materials - What is EDEM simulation technology - CAE integration - Benefits of using EDEM simulation as part of the design process - Applications examples: dump trucks, excavators, dozers, loaders, grab buckets, and more - Case study: Increasing the operational performance of a truck load body at VR Steel

This eBook describes the theoretical background behind the Discrete Element Method (DEM) - a particle-scale numerical method for modeling the bulk behavior of granular materials and many geomaterials such as coal, ores, soil, rocks, aggregates, pellets, tablets and powders. The following topics are covered: - Modeling Approaches - DEM Background - Particle Motion Calculations - Time Steps - Interaction Models - Contact Detection - Particle Shapes - Material Calibration - Geometries in DEM - Coupling DEM with other CAE tools

This eBook discusses how EDEM bulk material simulation can be used to optimize a range of operations and processes as part of the steelmaking process. - Raw material handling: transfer chutes, coal wagons, bucket elevators & screw augers - Processes: breakage, crushing, mixing, drying, vibration - Blast furnace loading and cohesive zone Learn how EDEM can help improve steel quality, energy efficiency and blast furnace performance.

Additive manufacturing offers the medical community exciting opportunities to reduce cost and logistical hurdles while improving patient outcomes. Huge leaps in additive manufacturing innovation have been enabled by simulation-driven design. In this guide, we will explore the use of simulation and analysis technology in the medical field to design complex AM solutions, explore material decisions, optimize structures for performance, and ensure that designs can be printed efficiently.

This eBook provides an overview of common challenges involving particulates such as poor mixing, uneven coating, and pill breakage. It introduces EDEM - Discrete Element Method (DEM) software - and goes through examples of applications including mixing, agglomeration, comminution, die filling, tablet compaction, tablet coating and more.
Download this eBook to learn how EDEM can provide key insights otherwise difficult or sometimes impossible to measure - leading to optimized processes, better product quality, less physical prototyping, and cost savings.

This eBook discusses the challenges linked to working with crops, grains and soils. It introduces EDEM -granular material simulation software- and goes through examples of applications including combine harvesters, tillage tools, seeder equipment, and grain handling systems.

This guide walks you through the decision-making process of taking additive manufacturing to production, answering some of the most important questions related to taking additive manufacturing to production