Results 211 to 220 of about 8,337,090 (382)

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

Preparation and properties of metal-core piezoelectric fibers for dynamic sensing using the double heat-shrinkage method. [PDF]

Sci Rep
Hou D, Kong X, Feng K, Zhou K, Pei Y, Shentu Y, Xiang F.   +6 more
europepmc   +1 more source

Colorimetric Determination of Traces of Metals

, 1945

openalex   +2 more sources

Melting and Evaporating Metals in a Vacuum [PDF]

, 1945
W. J. Kroll
openalex   +1 more source

Geometry‐Based Scan Curve Analysis: Rapid Method for the Evaluation of Scan Strategies in Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold, Michael Willeke, Alexander Sommereyns, Matthias Gehring, Parmar Yankit Dineshbhai, Nadine Stratmann, Anna Rosa Ziefuss, Sebastian‐Paul Kopp, Stephan Barcikowski, Michael Schmidt   +9 more
wiley   +1 more source

Low-dimensional metal chalcogenides for wearable gas sensing. [PDF]

Nano Converg
Li Y, Zhang Y, Ma H, Wan Y, Zhao T.
europepmc   +1 more source

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

Cancer risk from heavy metal contamination in fish and implications for public health. [PDF]

Sci Rep
Cobbinah RT, Boadi NO, Saah SA, Agorku ES, Badu M, Kortei NK.   +5 more
europepmc   +1 more source

Applied Science for Metal-Workers. William H. DooleyApplied Science for Wood-Workers. William H. Dooley [PDF]

, 1920

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