Results 51 to 60 of about 14,654,306 (255)

Rainfall projections under different climate scenarios over the Kaduna River Basin, Nigeria

Discover Environment
This research aimed to assess changes in mean and extreme rainfall within the Kaduna River Basin (KRB), specifically examining the implications of two Representative Concentration Pathways (RCPs)—4.5 and 8.5 scenarios.
Gloria Chinwendu Okafor, Kingsley N. Ogbu, Jacob Agyekum, Andrew Manoba Limantol, Isaac Larbi   +4 more
doaj   +1 more source

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

Advanced 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, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Determining a water budget for an established tailwater recovery system in the Mississippi Alluvial Plain

Agrosystems, Geosciences & Environment
In the Mississippi Alluvial Plain, also known as the Delta, tailwater recovery (TWR) on‐farm storage (OFS) systems are a best management practice to address both water quality and quantity issues.
Amanda M. Nelson, Paul Rodrigue, Matthew T. Moore, Christopher D. Delhom   +3 more
doaj   +1 more source

Automated Pump Placement Algorithms for Optimal Sewer Network Design in Areas with Complex Terrain

Engineering Proceedings
We present a set of algorithms for automatically determining the best locations for lift stations and pressurized pipes in sewer networks. These algorithms are integrated into an optimization framework for automatic sewer network planning. The algorithms
Ralf Habermehl, Amin E. Bakhshipour, Timo C. Dilly, Ali Haghighi, Ulrich Dittmer   +4 more
doaj   +1 more source

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

Advanced 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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Enhancing adaptive capacity and improving water security through water storage in South Asia [PDF]

, 2022
Natural and built stores of freshwater are critical for both ecosystem vitality and societal development, enabling natural and human systems to cope with temporal variations in water supply and demand.
International Water Management Institute
core   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Preliminary Results on the Use of Straw Cover and Effective Microorganisms for Mitigating GHG and Ammonia Emissions in Pig Slurry Storage Systems

Agriculture
Spain has been the largest pork producer in the EU in recent years, leading to significant pig slurry (PS) production that requires proper management to prevent environmental impacts. The objectives of this study were to quantify greenhouse gas (GHG) and
Martire Angélica Terrero Turbí, Melisa Gómez-Garrido, Oumaima El bied, José Gregorio Cuevas Bencosme, Ángel Faz Cano   +4 more
doaj   +1 more source

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

Advanced 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, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source