Ph.D. Miguel Moreno Mateos
Lehrstuhl für Technische Mechanik
Wissenschaftliche Mitarbeitende
Adresse
Egerlandstraße 591058 Erlangen
Kontakt
- E-Mail: miguel.moreno@fau.de
Bio-Inspired Flexoelectric Metastructures based on Axonal Pulsatory Mechanisms to Transmit Information and Modulate Biological Processes
(FAU Funds)Laufzeit: 15. Juli 2024 – 15. Juli 2025Configurational Mechanics of Soft Materials: Revolutionising Geometrically Nonlinear Fracture
(Drittmittelfinanzierte Einzelförderung)Laufzeit: 1. Januar 2023 – 31. Dezember 2027
Mittelgeber: Europäische Union (EU)SoftFrac will revolutionise geometrically nonlinear fracture mechanics of soft materials (in short soft fracture) by capitalising on configurational mechanics, an unconventional continuum formulation that I helped shaping over the past decades. Mastering soft fracture will result in disruptive progress in designing the failure resilience of soft devices, i.e. soft robotics, stretchable electronics and tissue engineering applications. Soft materials are challenging since they can display moduli as low as only a few kPa, thus allowing for extremely large deformations. Geometrically linear fracture mechanics is well established, nevertheless not applicable for soft fracture given the over-restrictive assumptions of infinitesimal deformations. The appropriate geometrically nonlinear, finite deformation counterpart is, however, still in its infancy. By combining innovative data-driven/data-adaptive constitutive modelling with novel configurational-force-driven fracture onset and crack propagation, I will overcome the fundamental obstacles to date preventing significant progress in soft fracture. I propose three interwoven research Threads jointly addressing challenging theoretical, computational and experimental problems in soft fracture. The theoretical Thread establishes a new constitutive modelling ansatz for soft in/elastic materials, and develops the transformational configurational fracture approach. The computational Thread provides the associated novel algorithmic setting and delivers high-fidelity discretisation schemes to numerically follow crack propagation driven by accurately determined configurational forces. The experimental Thread generates and analyses comprehensive experimental data of soft materials and their geometrically nonlinear fracture for properly calibrating and validating the theoretical and computational developments. Ultimately, SoftFrac, for the first time, opens up new horizons for holistically exploring the nascent field soft fracture.
2024
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Experimental and numerical investigation of the photo-mechanical response of azobenzene filled soft elastomers, Part I: Experimental investigations
In: Extreme Mechanics Letters (2024), S. 102182
ISSN: 2352-4316
DOI: 10.1016/j.eml.2024.102182 - , , :
Electro-mechanical actuation modulates fracture performance of soft dielectric elastomers
In: International Journal of Engineering Science 195 (2024), Art.Nr.: 104008
ISSN: 0020-7225
DOI: 10.1016/j.ijengsci.2023.104008 - , :
Configurational force method enables fracture assessment in soft materials
In: Journal of the Mechanics and Physics of Solids 186 (2024), S. 105602
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2024.105602 - , :
Crosslinking degree variations enable programming and controlling soft fracture via sideways cracking
In: npj Computational Materials 10 (2024), Art.Nr.: 282
ISSN: 2057-3960
DOI: 10.1038/s41524-024-01489-y - , , :
Versatile data-adaptive hyperelastic energy functions for soft materials
In: Computer Methods in Applied Mechanics and Engineering 430 (2024), S. 117208
ISSN: 0045-7825
DOI: 10.1016/j.cma.2024.117208
2023
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Hard-magnetic phenomena enable autonomous self-healing elastomers
In: Composites Part B-Engineering 248 (2023), Art.Nr.: 110357
ISSN: 1359-8368
DOI: 10.1016/j.compositesb.2022.110357 - :
A gradient micromechanical model to explore flexoelectric copolymers via stochastic chain growth
In: European Journal of Mechanics A-Solids 102 (2023), Art.Nr.: 105106
ISSN: 0997-7538
DOI: 10.1016/j.euromechsol.2023.105106 - , , :
Influence of magnetic boundary conditions on the quantitative modelling of magnetorheological elastomers
In: Mechanics of Materials 184 (2023), Art.Nr.: 104742
ISSN: 0167-6636
DOI: 10.1016/j.mechmat.2023.104742 - , , , :
Hard magnetics in ultra-soft magnetorheological elastomers enhance fracture toughness and delay crack propagation
In: Journal of the Mechanics and Physics of Solids 173 (2023), Art.Nr.: 105232
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2023.105232
2022
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Insights into the viscohyperelastic response of soft magnetorheological elastomers: Competition of macrostructural versus microstructural players
In: International Journal of Solids and Structures 256 (2022), Art.Nr.: 111981
ISSN: 0020-7683
DOI: 10.1016/j.ijsolstr.2022.111981 - , , , , , , , , , :
Magneto-mechanical system to reproduce and quantify complex strain patterns in biological materials
In: Applied Materials Today 27 (2022), Art.Nr.: 101437
ISSN: 2352-9407
DOI: 10.1016/j.apmt.2022.101437 - , , , :
Hybrid magnetorheological elastomers enable versatile soft actuators
In: npj Computational Materials 8 (2022), Art.Nr.: 162
ISSN: 2057-3960
DOI: 10.1038/s41524-022-00844-1 - , , , :
Effects of soft and hard magnetic particles on the mechanical performance of ultra-soft magnetorheological elastomers
In: Smart Materials and Structures 31 (2022), Art.Nr.: 065018
ISSN: 1361-665X
DOI: 10.1088/1361-665X/ac6bd3 - , :
A Note on Big Data and Value Creation
In: Diego Carou, Antonio Sartal, J. Paulo Davim (Hrsg.): Machine Learning and Artificial Intelligence with Industrial Applications, 2022, S. 1-18 (Management and Industrial Engineering)
ISBN: 9783030910051
DOI: 10.1007/978-3-030-91006-8_1
2021
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Influence of elastomeric matrix and particle volume fraction on the mechanical response of magneto-active polymers
In: Composites Part B-Engineering 215 (2021), Art.Nr.: 108796
ISSN: 1359-8368
DOI: 10.1016/j.compositesb.2021.108796 - , , , , :
New experimental insights into magneto-mechanical rate dependences of magnetorheological elastomers
In: Composites Part B-Engineering 224 (2021), Art.Nr.: 109148
ISSN: 1359-8368
DOI: 10.1016/j.compositesb.2021.109148
2020
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Unveiling the blockchain potential for the future of manufacturing: A multipurpose blockchain network
In: J. Paulo Davim (Hrsg.): Manufacturing in Digital Industries, De Gruyter, 2020 (Advanced Mechanical Engineering, Bd.6)
ISBN: 9783110575422
DOI: 10.1515/9783110575422-002 - , , :
Autonomous Robots and CoBots
In: Antonio Sartal, Diego Carou, J. Paulo Davim (Hrsg.): Enabling Technologies for the Successful Deployment of Industry 4.0, CRC Press, 2020, S. 47-66
ISBN: 9780429055621
DOI: 10.1201/9780429055621-3