Finite element analysis and statistical investigation of S960ql structure steel machinability with milling method-Reference-Cited by-同舟云学术

Finite element analysis and statistical investigation of S960ql structure steel machinability with milling method

Published:2024-04-02 Issue:5 Volume:46 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Binali Rüstem^ORCID,Yaldız Süleyman,Neşeli Süleyman

Funder

Selçuk University Research Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40430-024-04842-w.pdf

Reference53 articles.

1. Lee TS, Lin YJ (2000) A 3D predictive cutting-force model for end milling of parts having sculptured surfaces. Int J Adv Manuf Technol 16:773–783

2. Binali R et al (2022) Advance monitoring of hole machining operations via intelligent measurement systems: a critical review and future trends. Measurement, p 111757

3. Salur E et al (2021) The effects of MQL and dry environments on tool wear, cutting temperature, and power consumption during end milling of AISI 1040 steel. Metals 11(11):1674

4. Salur E (2022) Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions. Tribol Int 174:107677

5. Gezgin A (2007) Prizmatik parçaların frezelenmesi esnasında kesici uç sayısının takım ömrü ve yüzey pürüzlülüğü açısından değerlendirilmesi, Yüksek Lisans Tezi,. Gazi Üniversitesi Fen Bilimleri Enstitüsü.

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