Výsledky vyhledávání - "Xuan-Phuong Dang"

Akademický článek

Practical Formula for Predicting the Residual Deflection Evolution of Steel Plates Subjected to Repeated Impacts

Autor: Van-Vu Huynh, Sang-Rai Cho, Xuan-Phuong Dang, Dac Dung Truong

Publikováno v: Journal of Marine Science and Engineering, Vol 12, Iss 6, p 956 (2024)

Offshore structures and ships can be progressively damaged due to repeated mass impacts induced by contacts with ships, ice floes, and dropped and/or floating other objects while in service. This paper aims to predict the residual deflection evolutio

Externí odkaz: https://doaj.org/article/a210ce5152d54e8981010657a9428e11

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Akademický článek

Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

Autor: Trung-Thanh Nguyen, Quoc-Hoang Pham, Xuan-Phuong Dang, Tat-Khoa Doan, Xuan-Hung Le

Publikováno v: Tehnički Vjesnik, Vol 26, Iss 5, Pp 1297-1304 (2019)

Improving milling performances is an effective solution to decrease the costs required. This paper addressed a multi-response optimization to simultaneously decrease the machining power consumed Pm, arithmetical roughness Ra, and ten-spot roughness R

Externí odkaz: https://doaj.org/article/5dd3f019e5544cc6bc498273fbca3171

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Akademický článek

Modeling and optimization of machining parameters in milling of INCONEL-800 super alloy considering energy, productivity, and quality using nanoparticle suspended lubrication

Autor: Te-Ching Hsiao, Ngoc-Chien Vu, Ming-Chang Tsai, Xuan-Phuong Dang, Shyh-Chour Huang

Publikováno v: Measurement + Control, Vol 54 (2021)

Inconel-800 super alloy is a newly difficult-to-cut material. To improve the cutting conditions for this metal, sustainable methods in which minimum quantity lubrication enhanced with suspended nanoparticle were employed. This work also aims to model

Externí odkaz: https://doaj.org/article/62387a7441584a0abb4eadc206aa2de0

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Akademický článek

Multi-objective optimization of hard milling process of AISI H13 in terms of productivity, quality, and cutting energy under nanofluid minimum quantity lubrication condition

Autor: Ngoc-Chien Vu, Xuan-Phuong Dang, Shyh-Chour Huang

Publikováno v: Measurement + Control, Vol 54 (2021)

This paper presents the multi-objective optimization of the hard milling process of AISI H13 steel under minimum quality lubricant with graphite nanoparticle. The cutting speed, feed per tooth, depth of cut, and hardness of workpiece were taken as th

Externí odkaz: https://doaj.org/article/ea90ccb78cf94a889db656b3386fa46a

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