Results 191 to 200 of about 28,649 (315)

Enhancing the Machinability of Sapphire via Ion Implantation and Laser-Assisted Diamond Machining. [PDF]

Micromachines (Basel)
Ke J, Mo H, Ling K, Chu J, Chen X, Xu J.
europepmc   +1 more source

Milling Experiments on g-TiAl [PDF]

, 2011
Priarone, Paolo Claudio, Rizzuti, Stefania, Rotella, Giovanna, Settineri, Luca   +3 more
core  

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Comparative analysis of machinability and microstructure in LPBF and conventionally processed M300 maraging steel. [PDF]

Sci Rep
Kolomy S, Slany M, Doubrava M, Sedlak J, Zouhar J, Rehorek L.   +5 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

A level set-based process planning method for the additive and subtractive hybrid manufacturing of a flow channel with an inner cavity. [PDF]

Sci Rep
Li L, Xu G, Ji H, Liu Y, Li X, Cai H, Zhao S, Zou B.   +7 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Milling Parameters and Quality of Machined Surface of Wire Arc Additive Manufactured AISI 321 Steel. [PDF]

Materials (Basel)
Zhang Q, Kozlov VN, Klimenov VA, Chinakhov DA, Chernukhin RV, Han Z, Qi M.   +6 more
europepmc   +1 more source

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

Development of Graphene/Recycled Carbon Fiber-Reinforced PLA Composites for MEX Printing and Dry Machinability Analysis. [PDF]

Polymers (Basel)
AlFaify AY, Saleh M, Anwar S, Al-Ahmari AM, AbdElgawad AEE.   +4 more
europepmc   +1 more source