Artificial Intelligence Monitoring of Hardening Methods and Cutting Conditions and Their Effects on Surface Roughness, Performance, and Finish Turning Costs of Solid-State Recycled Aluminum Alloy 6061 Сhips-Reference-Cited by-同舟云学术

Artificial Intelligence Monitoring of Hardening Methods and Cutting Conditions and Their Effects on Surface Roughness, Performance, and Finish Turning Costs of Solid-State Recycled Aluminum Alloy 6061 Сhips

Published:2018-05-29 Issue:6 Volume:8 Page:394
ISSN:2075-4701
Container-title:Metals
language:en
Short-container-title:Metals

Author:

Abbas Adel,Pimenov Danil,Erdakov Ivan,Taha Mohamed,El Rayes Magdy,Soliman Mahmoud

Publisher

MDPI AG

Subject

General Materials Science,Metals and Alloys

Link

http://www.mdpi.com/2075-4701/8/6/394/pdf

Reference60 articles.

1. Using High Pressure Coolant in the Drilling and Turning of Low Machinability Alloys

2. Improving the surface roughness at longitudinal turning using the different optimization methods;Jurkovic;Teh. Vjesn.,2010

3. THE INFLUENCE OF THE CONDITIONS OF EMULSION MIST FORMATION ON THE SURFACE ROUGHNESS OF AISI 1045 STEEL AFTER FINISH TURNING

4. Comparative assessment of cooling conditions, including MQL technology on machining factors in an environmentally friendly approach

5. High Speed Finish Turning of Inconel 718 Using PCBN Tools under Dry Conditions

Cited by 51 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. A Review of the Surface Roughness Prediction Methods in Finishing Machining;Engineering, Technology & Applied Science Research;2024-08-02

2. A review on solid-state recycling of aluminum machining chips and their morphology effect on recycled part quality;Heliyon;2024-07

3. Optimization of Surface Roughness of Aluminium RSA 443 in Diamond Tool Turning;Journal of Manufacturing and Materials Processing;2024-03-19

4. Review of improvement of machinability and surface integrity in machining on aluminum alloys;The International Journal of Advanced Manufacturing Technology;2023-11-14

5. Artifical intelligence inspired approach to numerically investigate chip morphology in machining AISI630;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-05-25