Results 181 to 190 of about 11,008 (254)

Tailored Hardening and Isothermal Bainitizing of Additively Manufactured Nitrogen‐Enhanced Martensitic Chromium Steel

open access: yessteel research international, EarlyView.
Tailored heat treatments transform additively manufactured high‐nitrogen martensitic Cr steel from austenitic as‐built condition to high‐hardness states. Isothermal bainitizing at 250°C generates an ultrafine nanostructure and achieves higher hardness than conventional hardening and tempering, highlighting a promising postprocessing route for laser ...
Philip König   +2 more
wiley   +1 more source

Engineering Thermochemistry and Process Technologies to Enable Gigaton‐Scale Sustainable Biochar Production

open access: yesSusMat, EarlyView.
This review examines large‐scale biochar production technologies and process engineering from an engineering thermochemistry perspective. At the level of thermochemical fundamentals, we discuss thermochemical techniques, pyrolysis mechanisms, and key parameters governing biochar formation.
Dengguo Lai   +12 more
wiley   +1 more source

Architecting and Industrializing Advanced Production and Manufacturing Systems for Critical Industries

open access: yesSystems Engineering, EarlyView.
ABSTRACT Advanced production systems play a vital role in modern society. Such systems are developed and industrialized over multiple years and at great expense. The complexities of these systems are exacerbated in the case of metal additive manufacturing, which involves numerous process variables and relies on various auxiliary systems.
Duncan W. Gibbons   +1 more
wiley   +1 more source

Study of the Thermal and Hydrothermal Aging Effects on the Properties of 3D‐Printed Thermoplastic Polyurethane

open access: yesJournal of Vinyl and Additive Technology, EarlyView.
Effect of post‐aging conditions on mechanical and thermal properties of FDM‐printed parts. ABSTRACT In this study, the thermal and hydrothermal aging of TPU produced with the FDM technique was simulated and subjected to a series of tests. The alterations in the internal structures of the samples that had been subjected to tensile, hardness, adhesive ...
Busra Eyri   +3 more
wiley   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

open access: yesArtificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

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