Results 141 to 150 of about 396,223 (269)

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

Advanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies, Daniel E. Driemeyer, Aaron P. Stebner   +2 more
wiley   +1 more source

Er:YAG Laser Energy Optimization for Reducing Single-Species Microbial Growth on Agar Surfaces In Vitro. [PDF]

Pathogens
Fiegler-Rudol J, Kępa M, Skaba D, Wiench R.   +3 more
europepmc   +1 more source

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment. [PDF]

Sensors (Basel), 2023
Yang H, Zhou H, Liu Z, Deng X.
europepmc   +1 more source

Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer, Lukas Spano, Sebastian Pohl, Carolin Körner, Matthias Markl   +4 more
wiley   +1 more source

A scenario based analysis of bidirectional electric vehicle-building integration for energy optimization and carbon emission reduction. [PDF]

Sci Rep
Ibrahim AO, Abed AM, Abduvokhidov A, Madaminov B, Madaminov S, Yadav BK, Khedher NB.   +6 more
europepmc   +1 more source

Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks. [PDF]

Sci Rep, 2022
Tan K, Bremner D, Le Kernec J, Sambo Y, Zhang L, Imran MA.   +5 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Energy optimization of PV systems under partial shading conditions using various technique-based MPPT methods. [PDF]

Sci Rep
Benabdallah N, Belabbas B, Tahri A, Bouddou R, Salau AO, Pinnarelli A, Soleimani A.   +6 more
europepmc   +1 more source

Sensors Energy Optimization for Renewable Energy-Based WBANs on Sporadic Elder Movements. [PDF]

Sensors (Basel), 2022
Rajawat AS, Goyal SB, Bedi P, Verma C, Safirescu CO, Mihaltan TC.   +5 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source