Localization method for precision forged blade edge considering multiple constraints
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Precision forging is a choice for compressor blade fabrication. Pressure and suction surfaces could be forged to yield design requirements but the blade edge could not. A localization for machining blade edge, considering forging deformation and surface continuity, is discussed in this paper. Different from making machining allowance more balance in past researches, minimizing the difference between machined surface and design surface is adopted. Except machining allowance constraint, new constraints about form tolerance and geometry continuity are built up for localization. As a model for generating tool path, the machining surface of the blade edge is determined by adjusting a group of section curves under proposed constraints. At last, a precision forging blade is applied to verify the proposed localization method.
KeywordsAdaptive machining Localization Clamping deformation Tolerance constraint Continuity constraint
This study was financially supported by the National Natural Science Foundations of China (Grant Nos. 51775445 and 51475381), the Xi’an science and technology project (201805042YD20CG26), the Natural Science Basic Research Plan in Shaanxi Province of China(Program No.2019JM-349), and the Aeronautical Science Foundation of China (Grant No. 2017ZE53053).
- 1.Li XM, Yeung M, Li ZX (1996) An algebraic Algorithm for Workpiece Localization. IEEE CONF Rob Autom:152–158Google Scholar
- 4.Chu YX, Gou JB, Li ZX (1998) On the Hybrid Workpiece Localization/Envelopment Problems. Proceedings of the 1998 IEEE CONF Rob Autom 4:3665–3670Google Scholar
- 12.Li WL, Yin ZP, Xiong YL (2009) “Adaptive distance function and its application in free-form surface localization,”. Proceedings of the 2009 IEEE International Conference on Information and Automation., pp. 24-28Google Scholar
- 16.Zhang Y, Zhang DH, Wu BH (2015) An approach for machining allowance optimization of complex parts with integrated structure. J Comput Des Eng 2(4):248–252Google Scholar
- 17.Wu BH, Wang J, Zhang Y, Luo M (2015) Adaptive location of repaired blade for multi-axis milling. J Comput Des Eng 2(4):261–267Google Scholar