Guide to Accelerating e-Mobility to Realization

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.

The rollout of 5G communication networks and 6G networks on the horizon promise to be a boon for telecommunications companies and the manufacturing industry globally. Faster speeds will result in higher data rates for users, perhaps as much as ten times higher than 4G capabilities, using the 3.5 GHz frequency bands for area-wide services and the 26-28 GHz bands for high data rate hotspots. How will antenna manufacturers, wireless equipment manufacturers, automobile manufacturers and suppliers, and wireless operators rise to meet these challenges? In this guide, we’ll investigate the various electromagnetic and network planning simulation solutions Altair offers.

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.

The Internet of Things (IoT) has transformed the way companies do business. New product lines, recurring revenue streams, more efficient operations, higher quality and faster time-to-market are all within reach with the introduction of smart interconnections between systems and assets. This guide is designed to help you realize your Smart Product Development vision from ideation, to optimization, to launch and operation. Try SmartWorks IoT today, for free - click here to start trial.

Welded assemblies are widely used across industrial sectors. The design processes in rail, construction, marine, heavy machinery, pressure vessel construction, and many other industries rely heavily on regulations, codes, and norms such as FKM, DVS-1612, and Eurocode-3. This guide describes the evaluation and standard based certification of welded constructions by combining CAE methodology with relevant norms and regulations in a guided and standardized workflow.

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.

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 manufacturing, multiple ingredients are combined to be mixed, coated, or sorted, so understanding the behavior of these processes is of paramount importance for manufacturers. Through the use of simulation modeling and Smart Manufacturing principals, manufacturers are now able to optimize these processes, leading to greater productivity and profitability.

Nowadays to remain competitive, the need to constantly improve injection molding processes can benefit from modern technological advancements that simulation offers to overcome known disadvantages.

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.

Urban air mobility (UAM) is a point of convergence for automotive and aviation organizations. This presents opportunities for collaboration between the industries, with air taxis being of particular interest. Intended to transport a few customers at a time, avoid congested streets over short distances, and reduce pollution, this category of aircraft is often envisioned as an electric vertical take-off and landing (eVTOL) vehicle. Startups and established OEMs alike have begun moving past ideation and into the development stage for these next-generation aircrafts.

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

Whether you call it data preparation, mining, extracting, cleaning, joining, blending, or masking, it’s all data transformation. This guide will help you assess your requirements and develop an implementation plan to increase efficiency and reduce errors in your data transformation processes. Experience no-code, automated data transformation: Try Altair Monarch today, for free.