The-Vinh Do

Nhà nghiên cứu Hồ sơ 6/10

35 công bố · 247 trích dẫn · h-index 8

Thông tin

🏛️Nơi công tác: Trường Đại học Thương mại
🔬Lĩnh vực: Toán học
🆔ORCID: 0000-0001-8811-5184
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 8 xếp học giả này vào lĩnh vực Toán học, thuộc nhóm 25% dẫn đầu trong 1.789 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

Optimization of Minimum Quantity Lubricant Conditions and Cutting Parameters in Hard Milling of AISI H13 Steel60 trích dẫn
Applied Sciences · 2016 · DOI

Electrical Discharge Machining with SiC Powder-Mixed Dielectric: An Effective Application in the Machining Process of Hardened 90CrSi Steel39 trích dẫn
Machines · 2020 · DOI

Optimization of Surface Roughness and Cutting Force in MQL Hard-Milling of AISI H13 Steel17 trích dẫn
Lecture notes in networks and systems · 2018 · DOI

Ultrasonic-Assisted Cutting: A Beneficial Application for Temperature, Torque Reduction, and Cutting Ability Improvement in Deep Drilling of Al-606115 trích dẫn
Applied Sciences · 2018 · DOI

Optimization of cooling conditions and cutting parameters during hard milling of AISI H13 steel by using Taguchi method15 trích dẫn
2018 IEEE International Conference on Advanced Manufacturing (ICAM) · 2018 · DOI

Optimization of Cutting Parameters for Improving Surface Roughness during Hard Milling of AISI H13 Steel14 trích dẫn
Key engineering materials · 2020 · DOI

Optimal Approaches for Hard Milling of SKD11 Steel Under MQL Conditions Using SIO2 Nanoparticles12 trích dẫn
Advances in Materials Science and Engineering · 2022 · DOI

Multi-objective optimization for balancing surface roughness and material removal rate in milling hardened SKD11 alloy steel with SIO2 nanofluid MQL10 trích dẫn
EUREKA Physics and Engineering · 2024 · DOI

Improvement of Wheel Life by Optimization of Dressing Parameters in Surface Grinding of SKD11 Steel8 trích dẫn
Materials science forum · 2021 · DOI

Optimization of Cutting Parameters and Nanoparticle Concentration in Hard Milling for Surface Roughness of JIS SKD61 Steel Using Linear Regression and Taguchi Method7 trích dẫn
Lecture notes in networks and systems · 2020 · DOI

Về lĩnh vực Toán học

1.789học giả

30.127công bố

381.053trích dẫn

4.2h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Composite Structure Analysis and OptimizationAdvanced machining processes and optimizationAdvanced Mathematical Modeling in EngineeringOptimization and Variational AnalysisNonlinear Differential Equations AnalysisStability and Controllability of Differential Equations

Nơi có nhiều học giả lĩnh vực này nhất: