Cyber-Physical Simulation @ TU Darmstadt

📝🚨 Publication alert: In Iman Valizadeh's latest manuscript, which was just published in "Smart Materials & Methods", we explore the enhancement of energy absorption capabilities and stability in polymeric structures by blending different resin types, aiming to achieve optimal mechanical properties. For this purpose, a elasto-visco-plastic material model is experimentally characterized and applied within 3D finite element simulations. 👉🌐 Check-out the Open Access publication at: https://lnkd.in/eU3By7Ph #3Dprinting #polymers #materialmodeling

Our group showed a strong presence at the ICCE 2024 in Darmstadt this week with contributions by Juan C. Alzate Cobo, Yusuf Elbadry, M.Sc., Jonas Fey, Maximilian Kannapinn, Dominik K. Klein, Fabian Roth, Felix Rutsch, Mohammad shojaee, and Oliver Weeger 📑 It was a fruitful scientific event with inspiring invited presentations, among other by David Keyes 💽 👉 https://lnkd.in/dMyiyK84 #computationalengineering

Congratulations to our former guest researcher Pooyan Parnian and postdoc Mohammad shojaee on the publication of their manuscript "Multiscale modelling and characterisation of fused filament fabricated neat and graphene nanoplatelet reinforced G-polymers" in Progress in Additive Manufacturing! 🎉 📝 👉 In this work, a combined framework of computational multiscale modelling and experimental studies is applied to characterise and model the mechanical behaviour of composite and nanocomposite materials, fabricated using a 3D-printer by depositing G-polymer filaments. 🔍 Check out the manuscript for details (Open Access): https://lnkd.in/excF6bZc

Thanks to our co-authors Jan Niklas Fuhg and Reese Jones 🇺🇸, we extended the application of physics-augmented neural networks to thermo-hyperelastic material modeling. 🌡 💪 📈 📝 Check out the publication in the Journal of the Mechanics and Physics of Solids (https://lnkd.in/ejhnqa9H) or on the arXiv (https://lnkd.in/enqkZmWU) for further details and applications!

Congratulations to our Post-Doc Dr. Maximilian Kannapinn for his publication "TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins"! 🎉 📚 It presents methods from his doctoral thesis, which was co-supervised by Prof. Oliver Weeger.

Time to say goodbye! We're happy to share the work accomplished by our interns Kushal Agarwal and Yajur Agarwal, both recipients of the #DAAD #WISE scholarship. 🔬 Kushal Agarwal, from IIT Bombay, under the guidance of Felix Rutsch, designed an innovative light intensity measuring robot specifically for our gMSLA printer. 📊 Yajur Agarwal, from IIT-BHU Varanasi, supervised by Maximilian Kannapinn, conducted research on training data selection and preparation for Lagrangian Neural Networks (LNNs) applied to data of a non-linear Euler-Bernoulli beam. After their insightful final presentations, our entire institute came together for a delightful lunch featuring Indian cuisine, with both interns treating us to delicious traditional appetizers. We want to thank Yajur and Kushal for their work and dedication at CPS and wish them continued success in all their future endeavors! #DAADWISE #Robotics #LagrangianNeuralNetworks #IITBombay #IITBHUVaranasi 

Yesterday, our colleagues Jasper Schommartz and Juan Camilo Alzate Cobo proudly represented our group at TU Darmstadt - Maschinenbau's "Engineer Your Future Day". They engaged in many insightful conversations with prospective and current students, discussing the exciting opportunities at Technische Universität Darmstadt. Thank you, Jasper and Juan, for your dedication and enthusiasm! #weengineerfuture #EngineeringEducation #FutureEngineers #STEM #HigherEducation

The CPS crew is looking forward to an exciting ECCOMAS Congress in Lisbon with fruitful discussions and new ideas! 💒 🌉 🇵🇹 🎓 👨🏫 Our contributions: - Mon 10:30, MS083A, Dominik K. Klein: Nonlinear Electro-Elastic Finite Element Analysis with Neural Network Constitutive Models - Mon 10:50, MS007A, Oliver Weeger: Parameterized hyperelastic material modeling and multiscale topology optimization with physics-augmented neural networks - Mon 14:30, MS010B, Juan Alzate Cobo: Thermo- and Chemo-elastic Beam Modeling and Simulation with Isogeometric Collocation Methods - Tue 10:50, MS007D, Wei Li: Surrogate Elements for Nonlinear Microstructures using Physics-enhanced Machine Learning - Tue 11:30, MS007D, Jasper Schommartz: Physics-enhanced neural networks for hyperelastic beam modeling - Wed 11:30, MS064B, Yusuf Elbadry, M.Sc.: Immersed isogeometric analysis with boundary conformal quadrature for finite deformation problems - Wed 14:30, MS047B, Maximilian Kannapinn: Non-intrusive Inference of Digital Twins from Multi-physical Simulation Data of Additive Manufacturing Processes - Thu 12:10, MS162D, Felix Rutsch: Structural Topology Optimization based on Augmented Lagrangian Method to consider Stress and Displacement Constraints

Congratulations to our first Ph.D. graduate Dr. Iman Valizadeh for his publication "Rate-dependent energy dissipation of graded viscoelastic structures fabricated by grayscale vat photopolymerization" in Smart Materials and Structures! 🎉🎓 🌐 https://lnkd.in/eSaQgCTK 📒 A thorough understanding of the mechanical behavior of polymers, particularly their rate-dependence, is crucial for accurate material modeling and the design of polymer structures. This knowledge helps prevent the development of unrealistic mathematical formulations that fail to replicate experimental results or the natural behavior of these structures. 💡 In our recent research, we investigated the loading rate-dependent energy dissipation of polymer structures fabricated using grayscale masked stereolithography. Additionally, we compared various grading strategies in lattice structures within the linear viscoelastic regime. 🚀 Our findings enhance the understanding of the mechanical behavior of polymer structures in energy absorption and dissipation applications. TU Darmstadt - Maschinenbau, Oliver Weeger #3dprinting #stereolithography #polymers #mechanics

🏆 Felix Rutsch, one of our new team members, has been honored with the DYNAmore Prize for his master's thesis! 🏆 Felix is one of three awardees recognized by DYNAmore, an Ansys Company for his work. His thesis, “Topology optimization of structures with stress and displacement constraints,” was completed at the Institute for Structural Analysis at KIT (www.ibs.kit.edu). It investigates an innovative topology optimization approach tailored to typical civil engineering applications. We’re proud to have him on our team, bringing his ideas and dedication to novel methods for additive manufacturing. Congratulations, Felix! 🎉 DYNAmore, an Ansys Company from Stuttgart yearly offers an award for excellent master theses at the KIT Department of Civil Engineering, Geo and Environmental Sciences. More information about the DYNAmore Award can be found at https://lnkd.in/gFs9pPMA and https://lnkd.in/gr9qc3-p Technische Universität Darmstadt TU Darmstadt - Maschinenbau #ANSYS #MasterThesis #TopologyOptimization