02124nam a2200265 a 4500 vtls000045960 KUKTEM 20251114204504.0 100603t2009 my dao f m 000 0 eng d THE0005915(Local) 201905141430 aida 201107132323 VLOAD 201102280938 Fida 201006031204 Fida UMP TA479.C37 F35 2009 rs Bc. Fakhrur Razi Bahrin Prediction of surface roughness in turning operation of low carbon steel AISI 1018 / Fakhrur Razi Bin Bahrin Prediction of surface roughness in turning operation of low carbon steel AISI 1018 [electronic resource] Kuantan, Pahang : UMP , 2009 xviii, 51 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 Bibliography : p. 42- 44 The present thesis discusses the development of the first order and second order models for predicting the roughness in turning operation of low carbon steel AISI 1018 using CVD coated carbide tips. The first order and second order equation was developed using the Response Surface Method (RSM). The cutting variables were the cutting speed, feed rate and depth of cut. The study found that the predictive models able to predict the longitudinal component of the surface roughness close to those readings recorded experimentally with a 95% confident interval. The two equations indicate that the feed rate was the most dominant cutting condition on the surface roughness, followed by the depth of cut and then by the cutting speed. The surface roughness increases with increasing the feed rate and depths of cut but decreases with increasing cutting speed. In addition, the second order model proves the existence of a very strong interaction of the feed rate with depth of cut. Carbon steel Surface roughness 0 0 0 1 20000 20000 2019-09-04 0 TA479.C37 F35 2009 rs Bc. 0000046343 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 4472 | TA479.C37 F35 2009 rs Bc. 0000046344 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2901 2907 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992