A machine learning approach in drilling of E-glass woven composites-Reference-Cited by-同舟云学术

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A machine learning approach in drilling of E-glass woven composites

Published:2020-03-26 Issue: Volume: Page:1-9
ISSN:1539-7734
Container-title:Mechanics Based Design of Structures and Machines
language:en
Short-container-title:Mechanics Based Design of Structures and Machines

Author:

Bobbili Ravindranadh¹,Madhu Vemuri¹

Affiliation:

1. Defence Metallurgical Research Laboratory, Hyderabad, Telangana, India

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Condensed Matter Physics,Aerospace Engineering,Automotive Engineering,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15397734.2020.1729178

Reference8 articles.

1. Effects of special drill bits on drilling-induced delamination of composite materials

2. Self-Organizing Maps

3. Modeling and Analysis of Delamination Factor and Surface Roughness in Drilling GFRP Composites

4. A MULTI-OBJECTIVE HEURISTIC-BASED HYBRID GENETIC ALGORITHM*

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Burr constitution analysis in ultrasonic-assisted drilling of CFRP/nano-graphene via experimental and data-driven methodologies;Journal of Reinforced Plastics and Composites;2024-01-03

2. Improving the impact resistance of the multilayer composites using nanoparticles;Mechanics Based Design of Structures and Machines;2021-05-18

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