A material such as AA7075 or 1.4310 is not just a label, but a hypercube of variability shaped by chemical composition, manufacturing routes, and heat treatment. The article explains how this multidimensional solution space can be organized with Matplus EDA® as a central knowledge system and made usable for simulation.
The steel industry is responsible for a significant share of global CO₂ emissions and is therefore a focal point for sustainable transformation. For robust sustainability assessments, physically consistent material information based on mass and energy conservation principles is indispensable. However, integrating physical consistency into current CO₂ accounting methods remains a challenge for many existing approaches. This paper introduces a novel methodology that integrates physical consistency with reporting standards such as ESRS. By applying mathematical data reconciliation to systems of material and process flows, inconsistencies and missing data are systematically resolved. The approach enables transparent and reproducible assessment of steel products across their entire lifecycle—from raw material extraction to recycling—thereby providing a reliable foundation for circular economy decisions in the steel sector.
Digitalization of material properties across the entire process chain: Innovative approaches to digitizing material data and processes for efficient material development and optimization (page 175).
Material innovation with secured process stability. Digital material certificates and sampling with workflow automation according to VDA 231-301 and BPMN (pages 24-25).
Extension of a Material Master System with multi-CAE material information for improved simulation accuracy and efficient material data management.
Innovative approaches to circular economy in the aluminum industry, aiming to prevent downcycling and promote sustainability.
Material innovation for a sustainable Industry 5.0 using aluminum as an example.
Investigation of statistical methods for evaluating fatigue properties of metallic materials, with a focus on improving lifetime predictions.
Innovative approaches to accelerate green steel production technologies through digital tools and simulation. A look at the optimization of materials, processes, and energy flows.
More efficient steel recycling through model-based analysis of material and energy flows. Focus on circular economy and sustainable processes.
Efficient management of lab test data and its integration into a company-wide knowledge management system for process optimization.
Application of advanced material models in CAE simulations to improve the accuracy of predictions for structural materials.
Integration of advanced material models of steel into digital product development, focusing on improving product quality, sustainability, and reducing costs through effective material knowledge management.
Development and characterization of a new ultra-high strength steel for body components, based on simulation methods.
Insights into the integration of advanced material models into PLM systems to optimize development processes through simulations and material tests.
This article from IT & Production (Issue 6/2017) discusses the importance of precise material data and its simulation to optimize production processes. It presents software solutions like JMatPro that accurately calculate material properties for various alloys.
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