Prediction of surface roughness base on experimental in wire-electric discharge machining (EDM) of titanium alloy / Mohd Azahari Bin Mohd Nasir
Material type:
TextPublication details: Kuantan, Pahang : UMP, 2009Description: xiii, 58 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN: - THE0005766(Local)
- Prediction of surface roughness base on experimental in wire-electric discharge machining (EDM) of titanium alloy [electronic resource]
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Final Year Report
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UMPLIB PEKAN | TA418.7 .A93 2009 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000044413 | ||
Final Year Report
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UMPLIB PEKAN | CD 4230 | TA418.7 .A93 2009 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000044414 |
Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009
Bibliography : p. 49-51
This thesis deals with machining Titanium alloy workpiece using Wire-Electrical Discharge Machining (EDM). The objective of this thesis is to determine the relationship between the machining parameters which is Current Pulse Duration, Voltage Off-Time, Peak Discharge Current, and Wire speed with Surface roughness (Ra). This thesis use the response surface methodology techniques to turn out the equation the equation that use to predict the Ra. The machining of Titanium alloy workpiece was performs using the Wire- EDM SODICK AQ535L. Then the analysis was done using the MINITAB software. From the result, it is observed that the second order modal give more accurate prediction data for Ra and less percent of error compare to linear model. From the previous researchers found that machining parameters had a large effect on machining performance outputs. By doing the prediction for surface roughness in Wire-EDM for Titanium alloy it will aid people to estimate the surface roughness for their selected parameters and avoid using try and error method. By considering all of these parameters, the good machining condition can be performed. This result also can significantly reduce the cost of operation and cost of product.