Results 211 to 220 of about 1,874,071 (376)

Statistical Distributions of Morphologically Classified Defects in Metal Additive Manufacturing with Implications for Fatigue Life Prediction

Advanced Engineering Materials, EarlyView.
Morphological features of three defect types in metal additive manufacturing (AM)—lack of fusion, keyhole, and gas‐entrapped pores—are statistically characterized using best‐fit distributions evaluated via coefficient‐of‐determination, Kolmogorov–Smirnov test, and quantile–quantile plots.
Ahmad Serjouei, Golnaz Shahtahmassebi
wiley   +1 more source

Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning. [PDF]

Sci Rep
Ren F, Liu H.
europepmc   +1 more source

Approximation schemes for job shop scheduling problems with controllable processing times [PDF]

, 2004
Klaus Jansen, Monaldo Mastrolilli, Roberto Solis-Oba   +2 more
openalex   +1 more source

Fluorinated Graphene‐Coated N95 Respirators for Enhanced Protection against Viral Accumulation and Transmission

Advanced Engineering Materials, EarlyView.
We develop a one‐step spray coating approach to coat the fluorinated graphene (FG) nanosheet onto the N95 respirators. The spray‐coated superhydrophobic N95 respirators can effectively repel respiratory droplets off instantaneously and prevent SARS‐CoV‐2 virus accumulation on the surface.
Fengjie He, Jiongyu Zhang, Shengjie Zhai, Changchun Liu, Hui Zhao   +4 more
wiley   +1 more source

An enhanced walrus optimization algorithm for flexible job shop scheduling with parallel batch processing operation. [PDF]

Sci Rep
Lv S, Zhuang J, Li Z, Zhang H, Jin H, Lü S.   +5 more
europepmc   +1 more source

An Improved Local Search Method for Solving Job Shop Scheduling Problems

, 2001
Toshiharu Nakano, Ya Jie Tian, Nobuo Sannomiya   +2 more
openalex   +2 more sources

Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers

Advanced Engineering Materials, EarlyView.
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu, Sunidhi Garg, Arvid Abel, Prasanna V. Balachandran, Stephan Barcikowski, Louis Becker, Jan-Simeon Bernsmann, Jonas Boseila, Christoph Broeckmann, Mert Coskun, Malte Dreyer, Mark East, Mark Easton, Nils Ellendt, Stan Gann, Bilal Gökce, Mareen Goßling, Joachim Greiner, Piotr Gruber, Moritz Grünewald, Kopila Gurung, Nick Hantke, Florian Hengsbach, Hannes Holländer, Brecht Van Hooreweder, Kay-Peter Hoyer, Yajiang Huang, Florian Huber, Olaf Kessler, Burçin Özbay Kısasöz, Stefan Kleszczynski, Ebubekir Koc, Tomasz Kurzynowski, Arno Kwade, Simon Leupold, Dongmei Liu, Felix Lomo, Arne Lüddecke, Gerrit A. Luinstra, David A. Mauchline, Fabian Meyer, Lars Meyer, Peter Middendorf, Stefan Nolte, Michał Olejarczyk, Ludger Overmeyer, Andrij Pich, Sebastian Platt, Felix Radtke, Roland Ramm, Silja-Katharina Rittinghaus, Richard Rothfelder, Johannes Rudloff, Mirko Schaper, Marie Luise Scheck, Johannes Henrich Schleifenbaum, Michael Schmidt, Jan T. Sehrt, Yvonne P. Shabanga, Alexander Sommereyns, Rabea Steuer, Layla Shams Tisha, Anastasiya Toenjes, Christopher Tuck, Adrian Vaghar, Bey Vrancken, Zhengze Wang, Sebastian Weber, Jan Wegner, Bai-Xiang Xu, Yangyiwei Yang, Duyao Zhang, Evgeny Zhuravlev, Anna R. Ziefuss   +73 more
wiley   +1 more source

A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem. [PDF]

Sci Rep
Geng K, Liu L, Wu S.
europepmc   +1 more source

A COMBINED ALGORITHM FOR SOLVING JOB SHOP SCHEDULING PROBLEMS

, 2002
Yajie Tian, Nobuo Sannomiya, Changzheng Xie, Tetsuo Sawaragi   +3 more
openalex   +1 more source

Laser Additive Manufacturing of Oxide‐Dispersion‐Strengthened Steels: A Simulation‐Based Comparison Between Powder Bed Fusion and Direct Energy Deposition

Advanced Engineering Materials, EarlyView.
Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech, Yangyiwei Yang, Timileyin David Oyedeji, Prasanth Bondi, Mareen Goßling, Bilal Gökce, Bai‐Xiang Xu   +6 more
wiley   +1 more source