PREDICTION SURFACE ROUGHNESS IN HIGH-SPEED MILLING OF INCONEL 718 UNDER MQL USING RSM METHOD.
Bebas
9
0
0
Teks penuh
Dokumen terkait
Before the experimentation, the surface of the working tool was polished by using the grinding machine in order to get the best value surface finish.(S.Ahmad, 2013) The experiment
To understand this situation, this research is conducted to meet the following objectives; to study the effect of machining parameters on the wear rate of ball
As in up-milling, flank wear increases as the feed rate is increased due to the formation of BUE at flank face and increase in the normal contact stress at the tool- chip
The article presents the findings of the experiments during up-milling and down-milling on the effect of DOC, feed rate and cutting speed to the tool wear in ball nose end milling
Using Taguchi design, Fuh and Wu [6] included cutting speed, feed rate, depth of cut, tool nose radius, and flank as control factors for the creation of a statistical model to
Yazdi and Khorram 2010 worked for selection of optimal machining parameters i.e., spindle speed, depth of cut and feed rate for face milling operations in order to minimize the surface
"Statistical modeling, Sobol sensitivity analysis and optimization of single-tip tool geometrical parameters in the cortical bone machining process", Proceedings of the Institution of
Tabu Search Algorithm is applied in this analysis to predict the optimized Delamination factor at time of machining in the experimented ATLAC 382-05 composite material was programmed
