Mohd Rahim, Mohd Yusri (2013) Study of optimal machining parameters when machining AISI 304 stainless steel with carbide-pvd coated (TiAIN) cutting tool. Masters thesis, Universiti Teknikal Malaysia Melaka.
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Abstract
This study is based on the actual manufacturing situation in Alpha Precision industry. The industry currently in effort to improve machining efficiency, reduce the cost of manufacturing, preserving the environment through control of liquid waste disposal and improve the safety and health of workers. The objective of this study is to determine the optimal machining parameters affecting the machining response and the interaction between them after a series of experiments. This study was also to compare the type of cooling conditions (wet, water pressure and dry) used through a series of experiments. Experiments are carried out using Hitachi Seiki CNC Lathe Machine, to machined on material AISI 304 stainless steel and carbide cutting tools carbide coated aluminum titanium nitride PVD {TiAIN) to analyze the impact of the quality of workpiece surface roughness and flank wear of the cutting tool, respectively. Three machining parameters (cutting speed, feed rate, and cooling conditions) have been tested and varied at three different levels. In the design of the experimental plan, a full factorial design (DOE) has been used. Data from the study after a series of experiments carried out will be analyzed using the software package MINIT AB 16, through analysis of variance (ANOV A) and graphical charts. Results of the study found that wet machining does not influence the quality of the workpiece surface roughness and cutting tool flank wear compared to dry machining and air pressure, especially at high cutting speeds.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | computer integrated manufacturing systems, Machining, Steel, Stainless |
| Subjects: | T Technology > TS Manufactures |
| Divisions: | Library > Tesis > FKP |
| Depositing User: | Salleh Mohd Nor |
| Date Deposited: | 20 Oct 2015 06:54 |
| Last Modified: | 29 Dec 2022 15:24 |
| URI: | http://eprints.utem.edu.my/id/eprint/15048 |
| Statistic Details: | View Download Statistic |
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