Results 241 to 250 of about 2,954,191 (381)
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold+9 more
wiley +1 more source
Estimating energy consumption and GHG emissions in the U.S. food supply chain for net-zero. [PDF]
Armstrong K+4 more
europepmc +1 more source
A novel technique for fabricating monolithic functionally graded NiTi shape memory alloy (SMA) laminated hybrid composite has been developed. An excellent metallurgical bonding can be established between two compositionally different NiTi SMAs through spark plasma sintering joining/diffusion bonding followed by hot roll bonding.
Soumya Sinha+2 more
wiley +1 more source
Remarkable results of energy consumption and CO2 emissions for gasoline and electric powered vehicle. [PDF]
Tetik T, Karagoz Y.
europepmc +1 more source
This study investigates the magnetic properties and microstructures of 2PM‐manufactured Ce‐containing (Nd,Pr)‐Fe‐B magnets. The addition of Nd and Dy significantly enhances coercivity by 25% and 81%, respectively, attributed to core‐shell structures.
Chi‐Chia Lin+6 more
wiley +1 more source
Time Series Data Augmentation for Energy Consumption Data Based on Improved TimeGAN. [PDF]
Tang P, Li Z, Wang X, Liu X, Mou P.
europepmc +1 more source
An Influence of Water Temperature on Energy Consumption in the Dyeing Process
Hiromu Ohno+4 more
openalex +2 more sources
This study presents the development and characterization of injectable nanocomposite hydrogels based on N‐succinyl chitosan, oxidized guar gum, and bacterial cellulose nanofibers. Emphasizing enhanced mechanical properties and biocompatibility, the hydrogels exhibit fast gelation, improved structural integrity, and reduced swelling. Their potential for
Raimundo Nonato Fernandes Moreira Filho+8 more
wiley +1 more source
Energy consumption forecasting for oil and coal in China based on hybrid deep learning. [PDF]
He J, Li Y, Xu X, Wu D.
europepmc +1 more source