Tool Deflection Error Regularization and Compensation in End Milling of Contour Surfaces

Zhao Cheng Wei; Min Jie Wang; Wu Chu Tang; Liang Wang

doi:10.4028/www.scientific.net/AMM.217-219.1341

Paper Titles

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Effects of C₆H₈O₇ and C₃H₈O₃ in the Na₂SiO₃ Electrolyte on Characteristics of Coating Formed on ZAlSi12Cu2Mg1 by Micro-Arc Oxidation
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Optimization of Process Parameters of Ni-TiN-CeO₂ Binary Nanocomposite Coatings by Ultrasound-Pulse Electrodeposition
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Study on the Control System of Vertical Tin-Plating Process for Semi-Flexible Coaxial Cable
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Tool Deflection Error Regularization and Compensation in End Milling of Contour Surfaces
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Study on the Microstructure of FeCrAl/Aluminum Bronze Composite Coatings Prepared by Supersonic Electric Arc-Spraying
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Microstructure and Wear Resistance of Laser Cladding Nano-Al₂O₃/MCrAlY Composite Graded Coating on TiAl Alloy
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Microstructure and Wear Properties of Laser Synthesized Composite Coatings on Ti-6Al-4V
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Investigation on the Interfacial Bonding Strength between Ni-P-W/Al₂O₃ Composite Coatings and NdFeB Matrix
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Tool Deflection Error Regularization and Compensation in End Milling of Contour Surfaces

Abstract:

This paper presents a new approach of tool deflection error regularization and compensation in end milling of contour surfaces. The material removal rate (MRR) is adopted as the dominant factor of surface dimensional error. A mathematics model of determining the MRR in generalized contour surfaces machining is proposed. Feedrate scheduling methodology is applied to regulate a constant MRR along curved tool path. The expectation with the constant MRR is that it will potentially produce a constant surface dimensional error. Thus, the compensation can be conveniently achieved by offsetting the nominal finishing path. The desired MRR and corresponding offsetting value of finishing tool path are determined by a peripheral milling test. Machining results obtained in this study reveal that the proposed approach can significantly reduce the surface dimensional error and the smooth variation of feedrate can get a few variation of surface dimensional error. Comparing to the existing methods, the time-consuming iterative process in error compensation is omitted.