Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining
Author
Source
Advances in Materials Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
10
Abstract EN
Superalloy MAR-247 is mainly applied in the space industry and die industry.
With its characteristics of mechanical property, fatigue resistance, and high temperature corrosion resistance, therefore, it is mainly applied in machine parts of high temperature and corrosion resistance, such as turbine blades and rotor of the aeroengine and turbine assembly in the nuclear power plant.
However, considering that its properties of high strength, low thermal conductivity, being difficult to soften, and work hardening may reduce the life of cutting-tool and weaken the surface accuracy, the study provided minimizing experiment occurring during milling process for superalloy material.
As a statistical approach used to analyse experiment data, this study used GM(1,1) in the grey prediction model to conduct simulation and then predict and analyze its characteristics based on the experimental data, focusing on the tool life and surface accuracy.
Moreover, with the superalloy machining parameters of the current effective application improved grey prediction model, it can decrease the errors, extend the tool life, and improve the prediction precision of surface accuracy.
American Psychological Association (APA)
Chen, Shao-Hsien. 2015. Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining. Advances in Materials Science and Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1053629
Modern Language Association (MLA)
Chen, Shao-Hsien. Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining. Advances in Materials Science and Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1053629
American Medical Association (AMA)
Chen, Shao-Hsien. Study on Application of Grey Prediction Model in Superalloy MAR-247 Machining. Advances in Materials Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1053629
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1053629