Results 101 to 110 of about 35,428 (307)

Alloying variants – A special feature of powder metallurgy

open access: yes
In contrast to classical ingot metallurgy, in which case a chemically homogeneous liquid phase is the initial state, in powder metallurgy solid powders are the starting materials.
Danninger, Herbert; orcid:   +3 more
core   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

open access: yesAdvanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang   +5 more
wiley   +1 more source

Steric Coordination Modulated Iodine Chemistry With Four‐Electron Conversion for Zinc‐Iodine Batteries

open access: yesAdvanced Materials, EarlyView.
A dual‐additive electrolyte strategy is developed to address the hydrolysis of I+ in the aqueous electrolytes. The steric‐hindrance effect of TES− effectively shields I+ from nucleophilic attacks by hydroxyl groups, facilitating the reversible I−/I0/I+ conversion with four‐electron transfer.
Shuai Wang   +8 more
wiley   +1 more source

Influence of oxygen partial pressure in sintering atmosphere on properties of Cr-Mo prealloyed powder metallurgy steel

open access: yes, 2007
Chromium is an attractive alloying element in low alloyed steels since it gives good hardenability at low cost. The drawback with using chromium in powder metallurgy ( PM) grades is its high affinity for oxygen.
Bergman, Ola,
core   +1 more source

Low Resistance Interphase Formation at the PEO‐LiTFSI|LGPS Interface in Lithium Solid‐State Batteries

open access: yesAdvanced Materials Interfaces, EarlyView.
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar   +6 more
wiley   +1 more source

Data-driven design of novel lightweight refractory high-entropy alloys with superb hardness and corrosion resistance

open access: yesnpj Computational Materials
Lightweight refractory high-entropy alloys (LW-RHEAs) hold significant potential in the fields of aviation, aerospace, and nuclear energy due to their low density, high strength, high hardness, and corrosion resistance.
Tianchuang Gao   +3 more
doaj   +1 more source

Functionalising PM-parts by printing and sintering of powder filled pastes

open access: yes, 2007
European Powder Metallurgy AssociationEuropean Powder Metallurgy Congress and Exhibition, Euro PM 2007 --15 October 2007 through 17 October 2007 -- Toulouse --Secondary operations are necessary to supply PM-parts with additional functions besides their ...
Veltl G.   +3 more
core  

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel   +4 more
wiley   +1 more source

A preliminary study on high-entropy alloys for laser powder bed process

open access: yes, 2017
Recently, high entropy alloys (HEAs) have represented a field of intense research in metallurgy because of their unique properties such as high temperature strength and ductility.
Lorusso Massimo   +4 more
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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