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Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Investigation of Laser Ablation and Brush Pre‐Treatments for AlCu Cold Roll Bonding in Oxygen‐Free Conditions

Advanced Engineering Materials, EarlyView.
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti, Finn‐Lennard Janthur, Selina Raumel, Sascha Jan Zimmermann, Sarah Seffer, René Gustus, Sebastian Herbst, Marc C. Wurz, Ludger Overmeyer, Wolfgang Maus‐Friedrichs, Hans Jürgen Maier, Florian Nürnberger   +11 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

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Entropy, cross-entropy, relative entropy: Deformation theory ^(a)

Europhysics Letters, 2021
Abstract Attempts at generalizing Shannon entropy and Kullback-Leibler divergence (relative entropy) led to a plenthora of deformation models in theoretical physics, including q-model, κ-model, etc. Naudts and Zhang (Inf. Geom., 1 (2018) 79) established that these models can be unified under two notions: deformed ϕ-exponential family ...
J. Zhang, H. Matsuzoe
openaire   +1 more source

Dynamic Cross-Entropy

Journal of Neuroscience Methods, 2017
Complexity measures for time series have been used in many applications to quantify the regularity of one dimensional time series, however many dynamical systems are spatially distributed multidimensional systems.We introduced Dynamic Cross-Entropy (DCE) a novel multidimensional complexity measure that quantifies the degree of regularity of EEG signals
Dorian, Aur, Fidel, Vila-Rodriguez
openaire   +2 more sources

Cross-entropy optimization for neuromodulation

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
This study presents a reinforcement learning approach for the optimization of the proportional-integral gains of the feedback controller represented in a computational model of epilepsy. The chaotic oscillator model provides a feedback control systems view of the dynamics of an epileptic brain with an internal feedback controller representative of the ...
Harleen K, Brar, , Yunpeng Pan, Babak, Mahmoudi, Evangelos A, Theodorou   +3 more
openaire   +2 more sources

Entropies and cross-entropies of exponential families

2010 IEEE International Conference on Image Processing, 2010
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conveniently handled mathematically, the role of many other types of distributions has been revealed and emphasized by natural image statistics.
F Nielsen, R Nock
openaire   +1 more source

Cross Entropy Methods

2009
The cross-entropy (CE) method [56] is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization [195]. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated.
Wesam Ashour Barbakh, Ying Wu, Colin Fyfe   +2 more
openaire   +1 more source

Minimum cross entropy thresholding

Pattern Recognition, 1993
Abstract The threshold selection problem is solved by minimizing the cross entropy between the image and its segmented version. The cross entropy is formulated in a pixel-to-pixel basis between the two images and a computationally attractive algorithm employing the histogram is developed.
C.H. Li, C.K. Lee
openaire   +1 more source