The statistical modeling of surface roughness in high-speed flat end milling

By B. Ozcelik, Mahmut Bayramoglu. 2006

145 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/cf2e1ca0c7f5079c9a7958346e355d252b968f8e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Xitian Tian
2. P. Sahoo
3. Bo Li
4. Min Zhang
5. Bharat Chandra Routara
6. Asish Bandyopadhyay

In Mechanical Engineering

1. Xitian Tian
2. P. Sahoo
3. Bo Li
4. Min Zhang
5. Bharat Chandra Routara
6. Asish Bandyopadhyay

Citations in the corpus

• Modeling and multi-objective optimization of cutting parameters in the high-speed milling using RSM and improved TLBO algorithm (2020, methodology): “[7] constructed a first-order and second-order polynomial regression model of surface roughness using RSM for AISI 1040 milling.”
• Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation (2009, background): “Recently, Ozcelik and Bayramoglu [19] have modelled Ra in high speed flat end milling of steel including total tool operating time along with other machining variables such as spindle speed, feed rate, depth of cut and step over.”