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Journal ArticleDOI

On milling of thin-walled tubular geometries

TLDR
In this article, the effect of tool and workpiece flexibilities on surface error during peripheral milling of thin-walled tubular geometries was investigated, and the authors focused mainly on machining of tubular geometry.
Abstract
Machining of thin-walled tubular geometries poses interesting problems from a process planning perspective. In machining of such geometries by milling, cutting force-induced tool and workpiece deflections have to be overcome in order to realize part accuracies without compromising productivity. This calls for a systematic study of surface errors on machined parts due to both tool and workpiece deflections. The present paper investigates the effect of cutter and workpiece flexibilities on surface error during peripheral milling of thin-walled tubular geometries. Unlike previous attempts to study milling of thin-walled straight geometries, the present work focuses mainly on machining of tubular geometries. Tubular geometries need to be treated differently from a process planning perspective by exploiting the workpiece rigidity they offer. The process planner has an option of synclastic and anticlastic machining possibilities during machining of tubular geometries which needs to be explored and under...

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Citations
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Journal ArticleDOI

Coupled interaction of dynamic responses of tool and workpiece in thin wall milling

TL;DR: In this paper, the impact dynamics of thin wall milling were analyzed for both open and closed geometry structures and the authors highlighted the importance of tool's frequency, particularly torsional and first bending modes, in impact dynamics.
Journal ArticleDOI

Error compensation in flexible end milling of tubular geometries

TL;DR: In this paper, a cutting force model accounting for change in process geometry due to static deflections of tool and workpiece is adopted in this work, which is used in predicting tool and piece deflection induced surface errors on machined components and then compensating the same by modifying tool path.
Journal ArticleDOI

Detecting milling deformation in 7075 aluminum alloy thin-walled plates using finite difference method

TL;DR: In this article, a mathematical method is developed to detect deformations in thin-walled plates given the actual milling situation, and the deformation can be estimated under three different boundary conditions using a program written with program codes.
Journal ArticleDOI

Smooth tool path generation for five-axis flank milling using multi-objective programming

TL;DR: In this article, the tool trajectory is smoothed with a constraint on the resulting geometric error for five-axis flank milling, which is characterized by the strain energy of the cutter axis trajectory surface.
Journal ArticleDOI

State of the art in milling process of the flexible workpiece

TL;DR: A thorough review of the published articles related to milling process of the flexible workpiece, specifically the advance and development of the modeling of milling force, and modeling and suppressing of chatter and part error during milling of flexible workpieces are reviewed in detail.
References
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Journal ArticleDOI

Stability limits of milling considering the flexibility of the workpiece and the machine

TL;DR: In this article, a method for obtaining the instability or stability lobes, applicable when both the machine structure and the machined workpiece have similar dynamic behaviours, is presented. But this method is not suitable for the case of very thin walls with the possibility of lateral vibration of them in some cutting conditions.
Journal ArticleDOI

Modeling and avoidance of static form errors in peripheral milling of plates

TL;DR: In this paper, a model for peripheral milling of very flexible, cantilevered plates with slender end mills is presented, where the plate has varying structural properties in the axial and feed directions due to metal removal.
Journal ArticleDOI

Milling error prediction and compensation in machining of low-rigidity parts

TL;DR: In this paper, a new integrated methodology for modelling and prediction of surface errors caused by deflection during machining of low-rigidity components is proposed. But this approach is based on identifying and modelling key processing characteristics that influence part deflection, predicting the workpiece deflection through an adaptive flexible theoretical force-FEA deflection model and providing an input for downstream decision making on error compensation.
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