Design of Mathematical Model for Surface Roughness: Optimizing RSm through Process Parameters in Machining
Session
Mechatronics, System Engineering and Robotics
Description
This research paper presents the design of mathematical model aimed at optimizing surface roughness, with a specific focus on the mean width of surface profile peaks (Rsm) during turning operations. It identifies cutting speed and feed rate as critical factors influencing Rsm, highlighting that feed rate exerts the most significant impact on surface quality. Increased feed rates result in coarser finishes due to greater distances between the cutting tool's contact points, whereas lower feed rates yield smoother surfaces. The study also explores how variations in feed rate can affect machining stability, leading to issues such as vibration, tool engagement challenges, and excessive heat generation. By defining and monitoring Rsm, manufacturers can optimize key machining parameters, including feed rate, cutting speed, and depth of cut. This approach enhances surface quality, extends tool life, and improves overall product performance, ensuring compliance with quality standards and increasing customer satisfaction in critical industries such as aerospace and automotive.
Keywords:
Surface roughness, Hard Turning, Process Parameters, Mathematical Modeling, Design
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-15-3
Location
UBT Kampus, Lipjan
Start Date
25-10-2024 9:00 AM
End Date
27-10-2024 6:00 PM
DOI
10.33107/ubt-ic.2024.202
Recommended Citation
Shabani, Mevludin and Mehmeti, Xhemajl, "Design of Mathematical Model for Surface Roughness: Optimizing RSm through Process Parameters in Machining" (2024). UBT International Conference. 1.
https://knowledgecenter.ubt-uni.net/conference/2024UBTIC/MSER/1
Design of Mathematical Model for Surface Roughness: Optimizing RSm through Process Parameters in Machining
UBT Kampus, Lipjan
This research paper presents the design of mathematical model aimed at optimizing surface roughness, with a specific focus on the mean width of surface profile peaks (Rsm) during turning operations. It identifies cutting speed and feed rate as critical factors influencing Rsm, highlighting that feed rate exerts the most significant impact on surface quality. Increased feed rates result in coarser finishes due to greater distances between the cutting tool's contact points, whereas lower feed rates yield smoother surfaces. The study also explores how variations in feed rate can affect machining stability, leading to issues such as vibration, tool engagement challenges, and excessive heat generation. By defining and monitoring Rsm, manufacturers can optimize key machining parameters, including feed rate, cutting speed, and depth of cut. This approach enhances surface quality, extends tool life, and improves overall product performance, ensuring compliance with quality standards and increasing customer satisfaction in critical industries such as aerospace and automotive.