Doktorarbeit / Dissertation, 2016
208 Seiten, Note: Distinction
The main objective of this thesis is to improve the efficiency of 2.5D pocket machining, specifically focusing on the use of spiral tool paths generated through partial differential equations (PDE) and NURBS curves. The work aims to address several critical issues associated with traditional pocket machining methods and spiral tool path generation.
The primary keywords and focus topics of this thesis include: CNC pocket machining, spiral tool path, partial differential equation (PDE), NURBS curves, pocket geometry, aspect ratio, dimensionless number (DN), HARI number, pocket decomposition, cutting time, surface roughness, cutting forces, design of experiments (DOE), high-speed machining (HSM).
The Divyang Number (DN) is a dimensionless number introduced for the quantitative comparison of different pocket geometries to predict tool path quality and effectiveness.
Decomposing a complex pocket into sub-geometries using the HARI Number removes bottlenecks, making spiral tool paths more efficient for machining.
Second-order elliptic partial differential equations (PDE) help generate spiral tool paths that are free from sharp corners, improving high-speed machining efficiency.
Machining performance is influenced by the pocket geometry shape, tool path strategy (zig-zag, spiral, contour), and parameters like speed, feed rate, and depth of cut.
PUT stands for Percentage Utilization of a Tool, which is used as a measure of the effectiveness of a generated tool path strategy.
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