Results 131 to 140 of about 260,516 (241)

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Pore Evolution Mechanism in Granite during Ultrasonic Vibration-Assisted Penetration by a Disc Cutter. [PDF]

ACS Omega
Ma X, Han J.
europepmc   +1 more source

Use of diamond disc cutter in a case of penile strangulation with metal hex nut. [PDF]

Urol Case Rep, 2019
Yu CHT, Cheng KC, So HS.
europepmc   +1 more source

Efficient machining of a complex blisk channel using a disc cutter

For rough machining of a complex narrow cavity, e.g., a complex blisk channel on an aero-engine, the typically used cutting tools are the slender cylindrical cutter and conical cutter.
TANG, Kai, REN, Junxue, FENG, Qian, LI, Xiangyu, LI, Zhaoyu, HE, Dong   +5 more
core   +1 more source

Feasibility and Limitations of the Advanced Replica Process for Bioactive Glasses

Advanced Engineering Materials, EarlyView.
Periodic 3D‐printed Kelvin‐cell templates enable a controlled advanced replica process for fabricating highly porous glass lattices. Across P45K9, 45S5, and 13–93, material‐dependent differences in coating, burnout, and shrinkage lead to distinct strut morphologies, while comparable final porosities of 83%–88% are retained.
Swantje Funk, Elisabeth Keck, Alberto López‐Grande, Delia S. Brauer, Tobias Fey   +4 more
wiley   +1 more source

Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy

Advanced Engineering Materials, EarlyView.
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa, Jeverton L. Paixão, Daylla S. Silva, Bruno S. Sobral, Mucio D. de Medeiros, José E. Spinelli, Bismarck L. Silva   +6 more
wiley   +1 more source

MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling. [PDF]

Sensors (Basel)
Xiong Y, Gao X, Ye D.
europepmc   +1 more source

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

Advanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller, Steffen Gabsa, Werner Homberg, Guido Grundmeier   +3 more
wiley   +1 more source

Intelligent identification and warning method of disc cutter abnormal wear in TBM construction based on extreme learning machine. [PDF]

Sci Rep
Li Q, Du L, Yang Y, Ni Z, Zhao X.
europepmc   +1 more source