Results 161 to 170 of about 51,144 (287)

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source

Leveraging Life Cycle Assessment for Informing Packaging Eco‐Design and Eco‐Modulation

Sustainable Development, EarlyView.
ABSTRACT Eco‐modulation is designed to promote the adoption of eco‐design. However, in practice, its application is mostly concentrated on end‐of‐life (EoL) optimization. This study addresses the gap by proposing a framework to assess product–packaging systems as integrated units throughout the full life cycle.
Dwi Putri Yudianti Yudison, Anibal Bher, Rafael Auras   +2 more
wiley   +1 more source

Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels

steel research international, EarlyView.
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler, Robert Musi, Martin Hafok, Christoph Turk, Gerald Schneeberger, Susanne Michelic   +5 more
wiley   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data. [PDF]

Sci Rep
Abdellatief M, ElNemr A, Altahrany A.
europepmc   +1 more source

Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling. [PDF]

ACS Omega
Ren K, Chen Y, Wang G, Xu Y, Yan F, Dong M.   +5 more
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

AgriPath: a robust multi-objective path planning framework for agricultural robots in dynamic field environments. [PDF]

Front Plant Sci
Yang C, Zheng D, Chen S, Mansurova M, Belgibaev B, Zhao B.   +5 more
europepmc   +1 more source