Results 61 to 70 of about 125,781 (214)

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Time consumption and productivity of skidding Silver fir (Abies alba Mill.) round wood in reduced accessibility conditions: a case study in windthrow salvage logging form Romanian Carpathians

open access: yesAnnals of Forest Research, 2013
Natural calamities (especially windthrows) may generate difficult work conditions in timber harvesting operations. When associated with the reduced accessibility conditions, the work conditions become even harder.
Stelian Alexandru Borz   +5 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Self‐Cleaning Sensor Surfaces for Long‐Term Environmental Monitoring

open access: yesAdvanced Engineering Materials, EarlyView.
Long‐term use of unattended outdoor sensors without soiling or biofouling is achieved through generation of a micro‐ and nanorough cuvette surface by combing hydrophobic nanoparticles with fluorinated polymers, crosslinked and surface‐attached through CHic chemistry. The coating demonstrates self‐cleaning behavior and prolonged outdoor stability, which
Sanam Kumari Rajak   +4 more
wiley   +1 more source

Recent Challenges of Forest Engineering Academic Education

open access: yesCroatian Journal of Forest Engineering, 2013
This paper presents the history and tradition of forestry academic education in Europe. In the last few decades a lot of changes have occurred and forestry academic education has lost a high-level position in European society and economy.
Milan Oršanić   +4 more
doaj  

Impact of construction on landscapes of the forest-step zone of Ukraine

open access: yesЛюдина і довкілля: Проблеми неоекології
Purpose. Analysis of the impact of the construction of quickly assembled buildings with different frames on living and inert landscape components in the conditions of the Western part of the forest-steppe zone of Ukraine. Methods.
S. P. Sonko, I. D. Zelenchuk
doaj   +1 more source

Wind contribution to yearly silver fir (Abies alba Mill.) compression wood development in the Romanian Carpathians

open access: yesiForest - Biogeosciences and Forestry, 2016
Since the 1950s, wind has represented one of the main disturbances to forest ecosystems in Europe, causing an increase in the frequency and amount of trees uprooted or broken by wind.
Dinulica F   +4 more
doaj   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

Principal Component Analysis-Driven Feature Reduction for Predicting Coffee Quality Using a Machine Learning Approach

open access: yesInternational Journal of Applied Sciences and Smart Technologies
Coffee quality assessment using a machine learning approach faces major challenges, including high data dimensionality and redundancy between features. Therefore, PCA is proposed as a feature reduction technique to improve the efficiency and accuracy of
Siti Yuliyanti, Heni Sulastri, Sakifah
doaj   +1 more source

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