Christoph Eberl
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View article: Experimental Study on the Effect of Humidity on the Mechanical Properties of 3D-Printed Mechanical Metamaterials
Experimental Study on the Effect of Humidity on the Mechanical Properties of 3D-Printed Mechanical Metamaterials Open
In this study, six common fused filament fabrication (FFF) polymers—PEEK, PLA, PETG, ABS, Nylon, and TPU—were acclimatized at 15%, 45%, and 95% relative humidity (RH) to characterize tensile behavior, including Young’s modulus, maximum str…
View article: Bioinspired polypropylene-based functionally graded materials and metamaterials modeling the mistletoe–host interface
Bioinspired polypropylene-based functionally graded materials and metamaterials modeling the mistletoe–host interface Open
Biological systems and their structural and functional adaptations provide valuable insights into increasing the longevity of engineered materials. A striking example is the hemiparasitic European mistletoe ( Viscum album ), which forms a …
View article: Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science
Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science Open
This article describes advancements in the ongoing digital transformation in materials science and engineering. It is driven by domain‐specific successes and the development of specialized digital data spaces. There is an evident and incre…
View article: Exploration of materials fatigue influence factors using interpretable machine learning
Exploration of materials fatigue influence factors using interpretable machine learning Open
Data‐driven fatigue strength predictions are gaining popularity. Nevertheless, many machine learning models lack trustworthiness due to their limited decision‐making transparency which often hinders their practical application. In this inv…
View article: Swelling and deswelling driven multimaterials silicone hopper with superior specific power and energy
Swelling and deswelling driven multimaterials silicone hopper with superior specific power and energy Open
Bioinspired, bistable snap-through structures are promising to release a burst of mechanical energy transformed from chemical energy, stored, and released incrementally during swelling/deswelling. Thin, disk-like hopper can harness the inh…
View article: Bio‐Inspired Pressure‐Dependent Programmable Mechanical Metamaterial with Self‐Sealing Ability
Bio‐Inspired Pressure‐Dependent Programmable Mechanical Metamaterial with Self‐Sealing Ability Open
Self‐sealing is one of the fascinating functions in nature that enables living material systems to respond immediately to damage. A prime plant model is Delosperma cooperi , which can rapidly self‐seal damaged succulent leaves by systemati…
View article: Analysis of data‐driven models for predicting fatigue strength of steel components with uncertainty quantification
Analysis of data‐driven models for predicting fatigue strength of steel components with uncertainty quantification Open
Material informatics has emerged as a valuable research field in material science, providing solutions to previously unsolvable problems or accelerating deliverables. Fatigue failure, as a complex and non‐deterministic phenomenon, requires…
View article: Reduction of testing effort for fatigue tests: Application of Bayesian optimal experimental design
Reduction of testing effort for fatigue tests: Application of Bayesian optimal experimental design Open
S‐N curve parameter determination is a time‐ and cost‐intensive procedure. A standardized method for simultaneously determining all S‐N curve parameters with minimum testing effort is still missing. The Bayesian optimal experimental design…
View article: Curly beam with programmable bistability
Curly beam with programmable bistability Open
Bistable beams with prebuckled sinusoidal shape are prominently constructed into mechanical metamaterial unit cells with bi- and multi-stability. While the effects of boundary conditions and thickness on their bistability were more studied…
View article: Materials fatigue prediction using graph neural networks on microstructure representations
Materials fatigue prediction using graph neural networks on microstructure representations Open
The local prediction of fatigue damage within polycrystals in a high-cycle fatigue setting is a long-lasting and challenging task. It requires identifying grains tending to accumulate plastic deformation under cyclic loading. We address th…
View article: Materials fatigue prediction using graph neural networks on microstructure representations
Materials fatigue prediction using graph neural networks on microstructure representations Open
The local prediction of fatigue damage within polycrystals in a high-cycle fatigue setting is a long-lasting and challenging task. It requires identifying grains tending to accumulate plastic deformation under cyclic loading. We address th…
View article: Harnessing length and height changes in thermoresponsive programmable materials
Harnessing length and height changes in thermoresponsive programmable materials Open
Shape-memory polymers can be used to develop thermoresponsive programmable materials that can take on sensory and actuator tasks as their ambient temperature changes. In this contribution, a self-synthesised poly(1,10-decylene adipate) dio…
View article: Programmable Materials
Programmable Materials Open
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View article: PROGRAMMING SHAPE MORPHING IN METAMATERIALS
PROGRAMMING SHAPE MORPHING IN METAMATERIALS Open
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View article: Flow charts as a method to transfer self-sealing from plant models into programmable materials and related challenges
Flow charts as a method to transfer self-sealing from plant models into programmable materials and related challenges Open
Self-sealing is becoming a necessary function in sustainable systems for enhancing materials lifetime and improving system resilience. In this context, plants are prime models as they have developed various concepts. Moreover, implementing…
View article: Controlling Malleability of Metamaterials through Programmable Memory
Controlling Malleability of Metamaterials through Programmable Memory Open
Malleability, the ability to adapt materials to specific shapes, is necessary in applications where a form closure is requested. The material should be easily deformable between desired stable shapes. Such stability can be obtained through…
View article: Development of a Scalable Fabrication Concept for Sustainable, Programmable Shape‐Morphing Metamaterials
Development of a Scalable Fabrication Concept for Sustainable, Programmable Shape‐Morphing Metamaterials Open
Programmable materials are a novel development, in which specialized production processes are used to introduce a framework of information capabilities into the inner structure of materials. Since the design and fabrication of programmable…
View article: 2D Numerical Simulation of Auxetic Metamaterials Based on Force and Deformation Consistency
2D Numerical Simulation of Auxetic Metamaterials Based on Force and Deformation Consistency Open
This work showcases a novel phenomenological method to create predictive simulations of metallic lattice structures. The samples were manufactured via laser powder bed fusion (LPBF). Simulating LPBF-manufactured metamaterials accurately pr…
View article: Optimal design of shape changing mechanical metamaterials at finite strains
Optimal design of shape changing mechanical metamaterials at finite strains Open
Programmable metamaterials establish a new subset of metamaterials offering controllable and variablephysical properties. As metamaterials, they are artificial materials and exhibit exotic and counter-intuitive material behavior, but are m…
View article: Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models
Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models Open
Crack initiation governs high cycle fatigue life and is susceptible to microstructural details. While corresponding microstructure-sensitive models are available, their validation is difficult. We propose a validation framework where a fat…