Results 281 to 290 of about 867,518 (339)

X‐Ray Computed Tomography Quantifies Primary Phases and Reveals Crack Morphology in High‐Cycle Fatigue of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder, Ying Han, Tobias Fritsch, Bardia Hejazi, Alexander Ulbricht, Birgit Skrotzki, Giovanni Bruno   +6 more
wiley   +1 more source

Study on Separation Process at Tool Tip in Metal Cutting (2nd Report)

, 1979
Toshiaki Kaneeda, Hideo TSUWA
openalex   +2 more sources

Tribology of ZrC Coatings and Spherical Tips Acquired with Extraordinarily Stiff, Metal Atomic Force Microscopy Probes

Advanced Engineering Materials, EarlyView.
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk, Marcin Michałowski, Bogdan Warcholiński, Michał Milczarek, Adam Gilewicz   +4 more
wiley   +1 more source

The influence of cutting force on boundary failure of cutting tool. Machinability of Nimonic 80A. (1st report).

, 1987
Masahiro Masuda, Masashi Torii, Hiroki NAKAJIMA   +2 more
openalex   +2 more sources

The Effect of Elastic–Plastic Mismatch and Interface Proximity on the Fracture Toughness of Ti‐TiN Thin Films

Advanced Engineering Materials, EarlyView.
Multilayering of TiN film with metallic Ti film is adopted to enhance the fracture resistance of TiN thin films. Plastic dissipation within Ti with process zone size of ≈250 nm, along with elastic–plastic mismatch driven changes to crack driving force enhances the crack growth resistance by ten times, enabling physics informed design of optimized ...
Nidhin George Mathews, Aloshious Lambai, Marcus Hans, Jochen M. Schneider, Gaurav Mohanty, Balila Nagamani Jaya   +5 more
wiley   +1 more source

Design and manufacture of gear cutting tools and gears with an arbitrary profile. (2nd report Trueing of wheel with NC dresser and form grinding of helical gears)

, 1987
Akira Ishibashi, Hidehiro YOSHINO
openalex   +2 more sources

Mechanical and Microstructural Effects of ZrO2 Nanoparticles in Fe20Cr Oxide Dispersion‐Strengthened Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
The influence of oxide nanoparticle synthesis route and concentration on microstructure and high‐temperature performance of additively manufactured oxide dispersion‐strengthened steels is investigated. Comparing laser‐generated and chemically synthesized ZrO2 nanoparticles, the study reveals how dispersion quality, crystal structure and particle size ...
Mareen Goßling, Silja‐Katharina Rittinghaus, Felix Radtke, Abdelrahman Elsayed, Marina Macias Barrientos, Ulf Ziesing, Louis Becker, Ihsan Murat Kuşoğlu, Christoph Broeckmann, Ulrich Krupp, Avinash Hariharan, Sebastian Weber, Bilal Gökce   +12 more
wiley   +1 more source

Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing. [PDF]

Micromachines (Basel)
Zhu J, Liu X, Peng H, Liu W, Li Z.
europepmc   +1 more source

Quality Enhancement of Laser Powder‐Bed Fusion Parts by Acoustically Assisted Additive Manufacturing by Laser Powder‐Bed Fusion and its Application to Lattice Structures

Advanced Engineering Materials, EarlyView.
Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley   +1 more source

Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model. [PDF]

PLoS One
Zeng C, Wang C, Xiong X, Wang X, Xiao S.
europepmc   +1 more source