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Welcome to the September 2025 edition of the Total Materia newsletter! ![]() Edition Highlights This month, explore the latest updates across metals, polymers, additive manufacturing, and compliance data. Learn from our featured articles on welding processes and residual stresses, and discover how Total Materia Predictor uses machine learning to deliver fast, data-driven material property insights. Don’t miss our upcoming events in Coventry and Lyon, and see how Gestamp is leveraging Horizon to streamline material analysis and improve operational efficiency. |
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Data Developments We’re constantly enhancing the Total Materia platform to ensure you have access to the most comprehensive and up-to-date materials information. Here’s what’s new in September 2025:
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Product Insights Predictor: Advanced Machine Learning for Material Properties Finding reliable material property data, particularly for specific temperatures or non-standard alloys, can be a significant challenge. Predictor applies machine learning to estimate properties for more than 300,000 materials across over 20 key attributes, enabling engineers to explore the impact of composition and heat treatment changes with ease. It helps reduce physical testing during early development stages by delivering fast, data-driven predictions based on your defined parameters. Results are generated in seconds, supporting quicker and more informed decision-making. To learn more, watch our short video for a closer look at how Predictor can support your workflow. |
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In Focus: Upcoming Events
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This Month’s Selection of Articles
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Browse all our articles here. | |||||||||||||||||||||||||
Customer Spotlight: Gestamp
Gestamp, a global leader in automotive component manufacturing, faced challenges in managing and analyzing an extensive range of materials. Manual processes slowed decision-making, complicated material comparisons, and limited access to up-to-date tolerance data. By implementing Total Materia Horizon, Gestamp has streamlined material analysis, enabling engineers and quality technicians to quickly compare materials, identify alternatives, and access reliable data. This has enhanced operational efficiency, improved component quality, and accelerated production timelines.
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Read more here. | |||||||||||||||||||||||||
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