Advanced Machining Technology for Modern Engineering Materials-Reference-Cited by-同舟云学术

Advanced Machining Technology for Modern Engineering Materials

Published:2024-04-28 Issue:9 Volume:17 Page:2064
ISSN:1996-1944
Container-title:Materials
language:en
Short-container-title:Materials

Author:

Karmiris-Obratanski Panagiotis¹^ORCID,Thangaraj Muthuramalingam²^ORCID,Leszczyńska-Madej Beata³^ORCID,Markopoulos Angelos P.⁴^ORCID

Affiliation:

1. Advanced Manufacturing Laboratory, Department of Manufacturing Systems, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, 30-059 Krakow, Poland

2. Department of Mechatronics Engineering, SRM Institute of Science and Technology, SRM Nagar, Chennai 603203, TN, India

3. Faculty of Non Ferrous Metals, Department of Materials Science and Non-Ferrous Metals Engineering, AGH University of Krakow, Mickiewicza 30 Av., 30-059 Krakow, Poland

4. Laboratory of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, 10682 Athens, Greece

Abstract

Advances in material science have indeed revolutionized engineering, bringing forth a suite of new materials with remarkable properties [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/1996-1944/17/9/2064/pdf

Reference13 articles.

1. Xue, X., Yu, W., Lin, K., Zhang, N., Xiao, L., and Jiang, Y. (2024). Design Method and Teeth Contact Simulation of PEEK Involute Spline Couplings. Materials, 17.

2. Li, W., Zheng, H., and Feng, Y. (2023). Optimization of Cutting Parameters for Deep Hole Boring of Ti-6Al-4V Deep Bottle Hole. Materials, 16.

3. Hawryluk, M., Lachowicz, M., Łukaszek-Sołek, A., Lisiecki, Ł., Ficak, G., and Cygan, P. (2023). Structural Features of Fatigue Crack Propagation of a Forging Die Made of Chromium–Molybdenum–Vanadium Tool Steel on Its Durability. Materials, 16.

4. Baldi, N., Giorgetti, A., Palladino, M., Giovannetti, I., Arcidiacono, G., and Citti, P. (2023). Study on the Effect of Inter-Layer Cooling Time on Porosity and Melt Pool in Inconel 718 Components Processed by Laser Powder Bed Fusion. Materials, 16.

5. Jo, D.S., Kahhal, P., and Kim, J.H. (2023). Optimization of Friction Stir Spot Welding Process Using Bonding Criterion and Artificial Neural Network. Materials, 16.

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