Results 211 to 220 of about 99,684 (313)

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

Galling-Free Dry Near-Net Forging of Titanium Using Massively Carbon-Supersaturated Tool Steel Dies. [PDF]

Materials (Basel)
Aizawa T, Kihara T, Shiratori T.
europepmc   +1 more source

Influence of Selective Laser Melting Technology Process Parameters on Porosity and Hardness of AISI H13 Tool Steel: Statistical Approach. [PDF]

Materials (Basel), 2021
Véle F, Ackermann M, Bittner V, Šafka J.   +3 more
europepmc   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source

Effect of Cryogenic Treatments on Hardness, Fracture Toughness, and Wear Properties of Vanadis 6 Tool Steel. [PDF]

Materials (Basel)
Yarasu V, Jurci P, Ptacinova J, Dlouhy I, Hornik J.   +4 more
europepmc   +1 more source

Optimization of Process Parameters for Additively Produced Tool Steel 1.2709 with a Layer Thickness of 100 μm. [PDF]

Materials (Basel), 2021
Andronov V, Šimota J, Beránek L, Blažek J, Rušar F.   +4 more
europepmc   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Damascene Steel and Modern Tool Steel [PDF]

Nature, 1921
openaire   +1 more source

Surface roughness prediction of AISI D2 tool steel during powder mixed EDM using supervised machine learning. [PDF]

Sci Rep
Kaigude AR, Khedkar NK, Jatti VS, Salunkhe S, Cep R, Nasr EA.   +5 more
europepmc   +1 more source

Influence of Different Alloying Strategies on the Mechanical Behavior of Tool Steel Produced by Laser-Powder Bed Fusion. [PDF]

Materials (Basel), 2021
Baqerzadeh Chehreh A, Strauch A, Großwendt F, Röttger A, Fechte-Heinen R, Theisen W, Walther F.   +6 more
europepmc   +1 more source