Sudianto, Agus and Jamaludin, Zamberi and Abdullah, Lokman and Abdul Rahman, Azrul Azwan (2024) Numerical validation for end milling machine parameter optimization of AA 6041 using python. In: International Conference on Advances in Signal Processing And Communication Engineering, 28 April 2023 through 29 April 2023, Hyderabad, India.
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Numerical Validation for End Milling Machine Parameter Optimization of AA 6041 Using Python.pdf Restricted to Registered users only Download (647kB) |
Abstract
In manufacturing, machining efficiency is critical to reduce waste, rejects, and maintaining high standards of operations. This paper presents works on material testing for aluminum alloy (AA) 6041 that employed the end milling operation using a HAAS three-axis CNC milling machine with uncoated carbide end mill in dry conditions. Machining parameters studied for optimal cutting parameters were cutting speed (), feeding speed (), and depth of cut (). The response of this process produced three dependent factors, namely the surface roughness (), cutting temperature (), and cutting force (). The response was validated against machining results of the end milling process using three runs for each cutting parameter. These were performed using Python with the mathematical model of ANOVA. Results obtained indicated prediction values of at 0.135m, at , and equaled 7 N. These responses showed near identical values with the experimental results.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Cutting parameters, AA 6041 , Dependent factors, Python |
| Divisions: | Faculty Of Industrial And Manufacturing Technology And Engineering |
| Depositing User: | NUR FARISAH JAFRIN |
| Date Deposited: | 21 Jul 2026 08:30 |
| Last Modified: | 21 Jul 2026 08:30 |
| URI: | http://eprints.utem.edu.my/id/eprint/29839 |
| Statistic Details: | View Download Statistic |
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