Investigation of CNC milling machining parameters on surface roughness
Other Title(s)
تأثير متغيرات التشغيل في مكائن التفريز المبرمجة على الخشونة السطحية
Author
Source
al-Khwarizmi Engineering Journal
Issue
Vol. 14, Issue 3 (30 Sep. 2018), pp.123-128, 6 p.
Publisher
University of Baghdad al-Khwarizmi College of Engineering
Publication Date
2018-09-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Abstract EN
Milling Machining is a widely accepted nontraditional machining technique used to produce parts with complex shapes and configurations.
The material is removed in two stages roughing and finishing, the flat end cutter removed the unwanted part of material, then finished by end mill cutter.
In milling technique, the role of machining factors such as cutting depth, spindle speed and feed has been studied using Taguchi technique to find its effectiveness on surface roughness.
Practical procedure is done by Taguchi Standard matrix.
CNC milling is the most conventional process which is used for removing of material from workpiece to perform the needed shapes.
The results and relations indicate that the rate of feed is very important factor for modeling surface roughness.
The plot of S/N ratio shows that the optimum combination of the milling factors that gives the best value of surface accuracy.
The best combination of milling factors has also been predicted to minimize the surface roughness.
American Psychological Association (APA)
Ilyas, Rasha Ramiz. 2018. Investigation of CNC milling machining parameters on surface roughness. al-Khwarizmi Engineering Journal،Vol. 14, no. 3, pp.123-128.
https://search.emarefa.net/detail/BIM-832165
Modern Language Association (MLA)
Ilyas, Rasha Ramiz. Investigation of CNC milling machining parameters on surface roughness. al-Khwarizmi Engineering Journal Vol. 14, no. 3 (Sep. 2018), pp.123-128.
https://search.emarefa.net/detail/BIM-832165
American Medical Association (AMA)
Ilyas, Rasha Ramiz. Investigation of CNC milling machining parameters on surface roughness. al-Khwarizmi Engineering Journal. 2018. Vol. 14, no. 3, pp.123-128.
https://search.emarefa.net/detail/BIM-832165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 127
Record ID
BIM-832165