Machining Parameters Selection for High Speed Processing

Author(s):  
Wei-Feng Kuo ◽  
Ching-Hung Lee
2011 ◽  
Vol 201-203 ◽  
pp. 162-166
Author(s):  
Li Juan Liu ◽  
Ming Lv ◽  
Wen Ge Wu

High speed cutting (HSM) is one of the main trends of cutting machinery. In our country, the relevant research of HSM starts later, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established the HSM cutters management system based on BP artificial neural networks to facilitate optimized database system and to improve cutting efficiency. The result shows the system is very helpful to select cutting parameters and the value of prediction fits with the test very well.


2010 ◽  
Vol 97-101 ◽  
pp. 3604-3608
Author(s):  
Li Juan Liu ◽  
Wen Ge Wu

As one of the advanced manufacturing technologies, high speed machining (HSM) is expected to be the inevitable trend of manufacturing industries. In our country, the relevant research on HSM starts later, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. In response, we established the HSM cutters management system based on B/S. The system can facilitate optimized HSM cutters management and improve cutting efficiency by analyzing the processing examples, collecting and analyzing parameters of HSM.


2007 ◽  
Vol 29 (1/2/3/4) ◽  
pp. 344 ◽  
Author(s):  
Joze Valentincic ◽  
D. Kuser ◽  
S. Smrkolj ◽  
Oki Blatnik ◽  
Mihael Junkar

2012 ◽  
Vol 723 ◽  
pp. 337-342
Author(s):  
Li Juan Liu ◽  
Wen Ge Wu ◽  
Ming Lv

High speed machining (HSM) is one of the main trends of cutting machinery and is an important development direction of advanced manufacturing technology. In our country, the relevant research of HSM database starts later, especially of the cutting of hardworking material, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established HSM database system of the hardworking material based on web to improve cutting efficiency. According to the different feed and cutting tool by the Web form, it gets the rational cutting parameters. And the system determines the tool-path planning by the manufacture HSM of hardworking material processing animation to simulate the high-speed milling. The results of inquiry as a Web page and let you get parameters of optimization, increases efficiency of factories.


2014 ◽  
Vol 590 ◽  
pp. 294-298
Author(s):  
Pichai Janmanee ◽  
Somchai Wonthaisong ◽  
Dollathum Araganont

In this study, effect of machining parameters and wear mechanism in milling process of mold steel AISI-P20 and AISI-1050, using 10 mm twin flute type end mill diameter. The experimental results found that characteristics of milling surfaces and wear of the mill end were directly influenced by changes of parameters for all test conditions. As a result, the quality of milling surfaces also changed. However, mould steels which had the good quality surface is AISI-1050, with roughnesses of 2.120 μm. Quality milling surfaces were milled by using the most suitable parameter feed rate of 45 mm/min, a spindle speed of 637 rpm and a cut depth level of 3 mm, for both grades. Moreover, material removal rate and duration of the milling process, the milling end mills affect wear of the edge in every bite when the feed rate is low, high speed and level depth of cut at least. It was found that limited wear less will affect the surface roughness (Ra) represents the good quality surface.


Sign in / Sign up

Export Citation Format

Share Document