scholarly journals Analisa Pengaruh Variasi Parameter Gurdi (Drilling) Dan Pendingin Terhadap Burr Formation Hasil Pemesinan Cnc Routermilling Pada Aluminium Sheet 1100

2020 ◽  
Vol 3 (2) ◽  
pp. 138-151
Author(s):  
Mukhlis Mukhlis ◽  
◽  
Bambang Dwi Haripriadi ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 14-19
Author(s):  
Fariq Urbeyni

Penelitian ini bertujuan untuk mengetahui nilai Burr Formation pada benda aluminium sheet 1100 menggunakan metode pemesinan milling router dengan parameter kedalaman makan (1mm ; 1,5mm ; 2mm), tool (4mm ; 5mm ; 6mm), feeding (100m/menit ; 200m/menit ; 300m/menit), speed (5000rpm ; 8000rpm ; 12000rpm) dan cairan pendingin (coolant ; udara ; oli SAE 40). penelitian ini dilakukan di lab robotika jurusan Teknik Elektronika di kampus Politeknik Negeri Bengkalis. Sampel digunakan berukuran 100 x 60 mm sebanyak 27 buah yang akan mendapat perlakuan berbeda variasi diameter tool end mill, kedalaman pemakanan, feeding, speed dan cairan pendingin Alat ukur yang digunakan untuk mengukur burr formation benda kerja tersebut adalah microscpoe USB. Teknik analisis data yang digunakan dalam penelitian ini adalah metode Taguchi dan Anova. Hasil penelitian menunjukkan nilai burr terendah diperoleh pada kedalaman makan 1mm, tool 6mm, feeding 50 m/menit, pendingin oli dan speed 5000 rpm yaitu 0,2288 sedangkan nilai burr tertinggi diperoleh pada kedalaman makan 1,5mm, tool 5mm, feeding 50 m/menit, pendingin coolant dan speed 12000 rpm yaitu 0,590967. bedasarkan analisys of varian (ANOVA) bahwa parameter yang paling signifikan dalam mempengaruh burr formation adalah tool dan cairan pendingin.


2011 ◽  
Vol 10 (0) ◽  
pp. 49
Author(s):  
Arka Dey ◽  
Santanu Das
Keyword(s):  

1965 ◽  
Vol 15 (5) ◽  
pp. 287-292
Author(s):  
Shigeo ZAIMA ◽  
Akiyasu YUKI ◽  
Osamu HORIUCHI
Keyword(s):  

2017 ◽  
Vol 5 (4) ◽  
Author(s):  
Robert G. Altman ◽  
James F. Nowak ◽  
Johnson Samuel

This paper is focused on developing an in-process intervention technique that mitigates the effect of built-up edges (BUEs) during micromilling of aluminum. The technique relies on the intermittent removal of the BUEs formed during the machining process. This is achieved using a three-stage intervention that consists first of the mechanical removal of mesoscale BUEs, followed by an abrasive slurry treatment to remove the microscale BUEs. Finally, the tool is cleaned using a nonwoven fibrous mat to remove the slurry debris. An on-machine implementation of this intervention technique is demonstrated, followed by a study of its influence on key micromachining outcomes such as tool wear, cutting forces, part geometry, and burr formation. In general, all relevant machining measures are found to improve significantly with the intervention. The key attributes of this intervention that makes it viable for micromachining processes include the following: (i) an experimental setup that can be implemented within the working volume of the microscale machine tool; (ii) no removal of the tool from the spindle, which ensures that the intervention does not change critical process parameters such as tool runout and offset values; and (iii) implementation in the form of canned G-code subroutines dispersed within the regular micromachining operation.


2009 ◽  
Vol 74 ◽  
pp. 247-250 ◽  
Author(s):  
Mohammad Yeakub Ali ◽  
Mohd Aliff Omar ◽  
Khairul Irman Othman ◽  
Wayne N.P. Hung

This paper discusses burr formation in micromilling of AISI 304 stainless steel. Chip load, cutting speed and the application of coolant were chosen as the milling parameters. Experiments were conducted using 500 µm diameter tungsten carbide end milling tool. Milling parameters and measured burr height values were analyzed and statistical models were developed for the estimation of burr height. The models showed that the chip load and cutting speed both have direct and interactive contribution to burr formation. When micromachining without coolant, the burr height increases about 40% compared to that of machining with coolant. The optimized values of chip load and cutting speed were found to be 1 µm/tooth and 78 mms-1 respectively. The predicted burr heights were 5-7% larger than that of measured values.


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