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Taguchi-based gray relational analysis was used in the optimization of the cutting parameters for minimal burr width (for up and down milling operations) and surface roughness (Ra).
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A lower feed rate and greater depth of cut lead to an increase in burr width.
In addition, higher spindle speeds increased the burr width due to rapid tool wear.
The developed burr size models were then employed with PSO to determine the best combination of process parameters for a given drill diameter, which results in minimal burr height and burr thickness.
The result suggests that burr width and height can be reduced by using larger helix and smaller point angles.
The burr width on the down milling side is higher than that on the up milling side.
Further experiments were conducted in a central composite design scheme to develop second-order polynomial models of the burr width and height.
In this study, the effects of the cutting parameters on the surface quality and burr width were investigated in the micro milling of Ti-6Al-4V alloy.
A factorial design is used to evaluate the effects of drill point angle and helix angle as well as feed rate and cutting speed on the burr width and height at both curved and flat hole exit conditions.
There may be minimal burrs on the exit side of the cut.
The cortical bone static measures included cortical bone area, marrow area (medullary cavity), average cortical width (from periosteal to endocortical surface in cross-sections), and minimal cortical width.
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