Results 201 to 210 of about 2,787,881 (298)

Optimization of Lithium‐Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi   +4 more
wiley   +1 more source

Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective

open access: yesCarbon Energy, EarlyView.
ABSTRACT Graphene has garnered significant attention as a promising material with great potential for contributing to sustainable energy initiatives, such as RE100 (100% renewable energy initiative) and CF100 (100% carbon‐free initiative). This review aims to explore the potential of graphene for advancing renewable energy applications by highlighting
Niraj Kumar   +3 more
wiley   +1 more source

Durable Fuel Cell Cathode Enabled by Pt Embedded Nanoscale Carbon Network via a Scalable Process

open access: yesCarbon Energy, EarlyView.
Platinum nanoparticles embedded nanoscale carbon network (Pt‐e‐Cn) are developed via a scalable flame spray pyrolysis process. Proton exchange membrane fuel cells (PEMFC) employing mesoporous Pt‐e‐Cn cathode electrocatalysts exhibit exceptional durability without compromising performance.
Suriya Venkatesan   +10 more
wiley   +1 more source

Reverse Engineering and Performance Evaluation of a Pump Impeller Fabricated With Additive Manufacturing

open access: yesChemie Ingenieur Technik, EarlyView.
This study explores the process chain for reverse engineering and additive manufacturing of a water pump impeller in a process plant. Key aspects include digital twin creation, CAD redesign, material certification, Hirtisation postprocessing, and performance testing. Insights highlight iterative design for improved precision and reliability.
Michael Stadler   +3 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

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