Titlebook: Experimental and Numerical Investigations in Materials Science and Engineering; Proceedings of the I Nenad Mitrovic,Milos Milosevic,Goran M

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書目名稱Experimental and Numerical Investigations in Materials Science and Engineering影響因子(影響力)




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering影響因子(影響力)學科排名




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering網(wǎng)絡公開度




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering網(wǎng)絡公開度學科排名




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering被引頻次




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering被引頻次學科排名




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering年度引用




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering年度引用學科排名




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering讀者反饋




書目名稱Experimental and Numerical Investigations in Materials Science and Engineering讀者反饋學科排名

Chagrin

stressors

Conference proceedings 2019 Investigations and New Technologies (CNNTech2018), held in Zlatibor, Serbia from 4 to 6 July 2018. The book discusses a wide variety of industrial, engineering and scientific applications of engineering techniques. Researchers from academia and the industry share their original work and exchange id

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Experimental Investigation of Mechanical Properties on Friction Stir Welded Aluminum 2024 Alloyonship between welding parameters and mechanical and microstructural properties of 2024 joints. The following welding parameters were used: the rotation speed of the tool did not change and amounted to 750?rpm, and the welding speed was 73, 116 and 150?mm/min. The welded joints obtained were free of errors and with an acceptable flat surface.

CRATE

https://doi.org/10.1007/978-3-031-44674-0 images is numerically performed using an in-house developed numerical Abel transform. It is found that flame tomography enables precise location of flame front in turbulent flows. The tomography research is compared and analyzed with the numerical results of the same burner.

Infantry

Infantry

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Identification and Recognition of Vehicle Environment Using Artificial Neural Networksition of surrounding objects in real traffic. The new model based on CNN was trained and developed to be able to identify and recognize 4 different classes of objects: cars, traffic lights, persons and bicycles. The developed model has shown 94.6% accuracy of object identification and recognizing on the test set.

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含鐵

Liesbeth de Block,David Buckinghamheight resolution. The aim of this paper is to show how layer height affects the dimensional accuracy of FDM models and to compare the dimensional accuracy of FDM and SLA printed reformer models with the same height resolution.