Datapoint Newsletter: Spring 2024, Vol. 30.1
Successful accreditation audits; company growth; technical conferences
Read full postStrengthening the materials core of manufacturing enterprises
Materials in simulation
Practical knowledge for simulation professionals who need to understand how material behavior is tested, modeled, and represented in FEA.
Successful accreditation audits; company growth; technical conferences
Read full postPresented by Marian Bulla, Altair Engineering, at the CARHS Automotive CAE Grand Challenge 2020.
Read full postOur presentation, “Beyond Standards: Material Testing and Processing for Successful Simulations of Polymeric Materials (LAW76)”, focuses on the Semi-Analytical Model for Polymers (SAMP), a material law developed for simulating complex polymer behavior in industries like automotive and aerospace. SAMP integrates strain-rate dependencies and a damage model for accurate predictions in crash and impact scenarios but faces limitations like slow convergence and the absence of a damage model that incorporates strain-rate and triaxiality dependencies. We emphasize the need to go beyond standardized testing, advocating for tailored tests that better reflect real-world conditions, such as varying strain rates, geometries, and environmental factors. This presentation also details a semi-automated calibration process for SAMP and BIQUAD models using iterative workflows to optimize simulation accuracy for tension, compression, shear, and impact tests. Ultimately, SAMP’s flexibility and predictive accuracy make it a powerful tool, but its successful implementation requires advanced knowledge, customized testing, and careful calibration to ensure stability and reliability in material simulations.
Read full postThe accurate calibration of materials models is crucial for simulating the behavior of materials across various industries, including automotive, aerospace, and consumer goods. With the increasing complexity of modern materials, particularly polymers, foams, and composite materials, developing reliable and efficient calibration strategies is more important than ever. This paper presents a comprehensive comparative analysis of calibration strategies for material models applied to these materials, focusing on the challenges and best practices for each material class.
Read full postApplus+ DatapointLabs marks 30th anniversary; latest research; 2025 events
Read full postThis paper describes an engineering process to generate material cards for forefront crashworthiness CAE analysis that properly capture both plastic and fracture behaviour of car body structural metals. The main objective of the paper is to show that advanced plasticity approaches can be used without significantly increasing the complexity of the overall material characterization process. The paper is mainly centred in metals plastic characterization for shell elements although some important relationships with the fracture characterization will be also discussed.
Read full postMaterial characterization considerations for SIGMASOFT simulations using thermoplastic and thermoset materials.
Read full postThe accurate calibration of materials models is crucial for simulating the behavior of materials across various industries, including automotive, aerospace, and consumer goods. With the increasing complexity of modern materials, particularly polymers, foams, and composite materials, developing reliable and efficient calibration strategies is more important than ever. This paper presents a comprehensive comparative analysis of calibration strategies for material models applied to these materials, focusing on the challenges and best practices for each material class.
Read full postApplus+ DatapointLabs staff celebrates 30th anniversary; expanded support for thermoset materials; 2025 events
Read full postYear-End Testing Promotion; New Focused Knowledge Pages; Upcoming Events
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