
Proceedings Paper
Optimization design of chip removal structure in the deep-hole drilling based on CAD/CFDFormat | Member Price | Non-Member Price |
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Paper Abstract
The chip removal structure is very important in deep-hole machining and has great influence on drilling efficiency. The
method of CAD/CFD is presented to optimize design parameters of the chip removal structure in the paper. Because the
shape of front nozzle in the chip removal structure is the key, so the radius of front nozzle is chosen to be an optimized
object. Then, the CAD technology is applied to build a series of three-dimensional parameterization models of the chip
removal structure with different front nozzle radius, and CFD software FLUENT is used to calculate three-dimensional
flow field in the every built model. Subsequently, several evaluation indexes which can indicate performance of the chip
removal structure are established and the calculation results of every inner flow field in the model are evaluated by the
synthesis of Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation. Finally, the chip removal structure with
optimum front nozzle radius is achieved.
Paper Details
Date Published: 24 May 2011
PDF: 6 pages
Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 799711 (24 May 2011); doi: 10.1117/12.888616
Published in SPIE Proceedings Vol. 7997:
Fourth International Seminar on Modern Cutting and Measurement Engineering
Jiezhi Xin; Lianqing Zhu; Zhongyu Wang, Editor(s)
PDF: 6 pages
Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 799711 (24 May 2011); doi: 10.1117/12.888616
Show Author Affiliations
Yindong Zhang, Dalian Maritime Univ. (China)
Hongpeng Zhang, Dalian Maritime Univ. (China)
Hongpeng Zhang, Dalian Maritime Univ. (China)
Yulong Ji, Dalian Maritime Univ. (China)
Wenhua Li, Dalian Maritime Univ. (China)
Wenhua Li, Dalian Maritime Univ. (China)
Published in SPIE Proceedings Vol. 7997:
Fourth International Seminar on Modern Cutting and Measurement Engineering
Jiezhi Xin; Lianqing Zhu; Zhongyu Wang, Editor(s)
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