Volume 23, Issue 10 (October 2023)
Modares Mechanical Engineering 2023, 23(10): 143-147 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
homayooni A, Eghdami Z S, Sotoude M. Comparison of Different Factors in Surface Roughness of Milling Process. Modares Mechanical Engineering 2023; 23 (10) :143-147
URL: http://mme.modares.ac.ir/article-15-72790-en.html
URL: http://mme.modares.ac.ir/article-15-72790-en.html
1- , homayooni@arakut.ac.ir
Abstract: (695 Views)
Endmilling is a type of machining tool for chipping the surfaces of parts, which has received attention due to its wide application in industries such as molding. Therefore, today, the need of the industry to find the optimal parameters of the process is felt so that the quality of the desired surface can be achieved. In general, the selection of effective parameters in any milling process significantly affects the surface quality of a finished part. In this research, using E-fast statistical sensitivity analysis method, the simultaneous influence of input parameters including spindle speed, depth of cut, and feed rate on the output parameter of surface roughness for the samples has been investigated quantitatively. Machining experiments have been carried out under different cutting parameters as defined in steady state conditions for the milling tool. surface roughness and vibration rate of machining with non-linear quadratic forms; It has been modeled based on the cutoff parameters and its interactions through several regression analysis methods. The results of this research showed that the spindle speed time parameter is known as the most influential parameter on the surface roughness with 67% influence. It was also observed that the feed rate parameter with 30% effect of cutting depth with 3% are known as the second and third influencing parameters on surface roughness.
Article Type: Original Research |
Subject:
Machining
Received: 2023/12/5 | Accepted: 2023/10/2 | Published: 2023/10/2
Received: 2023/12/5 | Accepted: 2023/10/2 | Published: 2023/10/2
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |