Investigation of cutting parameters effect on surface roughness in turning operation of pure aluminum / Meera Binti Belly

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2009Description: xvi, 52 p. : ill. ; 30 cm. + 1 computer discISBN:
  • THE0006513(Local)
Other title:
  • Investigation of cutting parameters effect on surface roughness in turning operation of pure aluminum [electronic resource]
Subject(s): Dissertation note: Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 Abstract: Roughness plays a significant role in determining and evaluating the surface quality of a product. It is because surface roughness affects the functional characteristics of products. Quality measure and surface roughness in mechanical parts depends on turning parameters during turning process. This study focuses on effects of cutting parameters such as cutting speed and depth of cut on surface roughness quality during turning operation of pure aluminium. The most optimum condition of the controlled parameter will also be studied. Using Taguchi approach, nine experiments has been carried out and with further S/N ratio method, the optimum condition of each parameter is known. A predictive equation based on ANOVA was produced to determine the selected controlled parameters and predictive equation were accurate to within the limits of the measurement instrument. Based on result analysis, the most optimum condition for machining of pure aluminium using lathe machine is the lowest level of depth of cut with the highest level of cutting speed. Besides that, using ANOVA approach, depth of cut was selected as the most significant factor in this study. It gives the highest effect on surface roughness compared to cutting speed. However, some recommendation can be made to improve the details of this study such as using the suitable cutting speed for aluminium and using a better precision perthometer. As a conclusion, this area of research would benefit for future studies especially in industrial environment.
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB PEKAN TJ1185 .M44 2009 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000044409
Final Year Report Final Year Report UMPLIB PEKAN CD 4228 | TJ1185 .M44 2009 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000044410

Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009

Bibliography : p. 46-47

Roughness plays a significant role in determining and evaluating the surface quality of a product. It is because surface roughness affects the functional characteristics of products. Quality measure and surface roughness in mechanical parts depends on turning parameters during turning process. This study focuses on effects of cutting parameters such as cutting speed and depth of cut on surface roughness quality during turning operation of pure aluminium. The most optimum condition of the controlled parameter will also be studied. Using Taguchi approach, nine experiments has been carried out and with further S/N ratio method, the optimum condition of each parameter is known. A predictive equation based on ANOVA was produced to determine the selected controlled parameters and predictive equation were accurate to within the limits of the measurement instrument. Based on result analysis, the most optimum condition for machining of pure aluminium using lathe machine is the lowest level of depth of cut with the highest level of cutting speed. Besides that, using ANOVA approach, depth of cut was selected as the most significant factor in this study. It gives the highest effect on surface roughness compared to cutting speed. However, some recommendation can be made to improve the details of this study such as using the suitable cutting speed for aluminium and using a better precision perthometer. As a conclusion, this area of research would benefit for future studies especially in industrial environment.

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