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What is SIMHEAT?

Induction heat treatment simulation provides in-depth analysis of temperature fluctuations from the surface to the interior, pinpointing areas where phase transitions occur. Utilizing SIMHEAT®, users can evaluate the impact of parameters such as current frequency, coil configuration, and the placement of concentrators on the heat-affected zone. The material modeling component considers the electrical and magnetic properties that change with temperature. Additionally, SIMHEAT® can function on its own or integrate seamlessly with Transvalor software, facilitating an effortless exchange of results between the two systems. This exceptional interoperability ensures users can depend on reliable and precise results. Moreover, all the capabilities found in SIMHEAT® are also featured in our FORGE® software, which is specifically designed for simulating hot, semi-hot, and cold forming processes, thus enhancing its applicability across diverse manufacturing scenarios. As a result, users benefit from a comprehensive toolkit that supports various stages of production with precision and accuracy.

What is Materials Zone?

Transforming materials data into exceptional products at an increased speed significantly boosts research and development, simplifies scaling operations, and improves quality control along with supply chain decisions. This method facilitates the identification of groundbreaking materials while employing machine learning to anticipate outcomes, thereby resulting in quicker and more efficient results. As the journey toward production continues, it becomes possible to create a model that tests the limits of your products, which aids in designing cost-effective and durable production lines. Moreover, these models have the capability to predict potential failures by examining the provided materials informatics in conjunction with production line metrics. The Materials Zone platform aggregates information from diverse independent sources, such as materials suppliers and manufacturing plants, ensuring that communication remains secure and efficient. By harnessing machine learning algorithms on your experimental findings, you can discover new materials with specific properties, formulate ‘recipes’ for their creation, develop tools for automated analysis of unique measurements, and extract valuable insights. This comprehensive strategy not only boosts the efficiency of research and development but also encourages collaboration throughout the materials ecosystem, ultimately propelling innovation to new heights. Additionally, by fostering a culture of continuous improvement, organizations can remain agile and responsive to market demands.

Media

Media

Integrations Supported

FORGE

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TRANSVALOR

Date Founded

1984

Company Location

France

Company Website

www.transvalor.com/en/simheat

Company Facts

Organization Name

Materials Zone

Company Location

Israel

Company Website

www.materials.zone/

Categories and Features

Materials Science

Not specified

Simulation

Not specified

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Process/Workflow Automation

Chemical

Not specified

Data Management

Data Capture

LIMS

Workflow Management

Machine Learning

Predictive Modeling

Materials Science

Not specified

Product Lifecycle Management

Document Management

Simulation

Industry Specific Database

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