A reverse compensation algorithm based on measurement results is proposed in order to control the wall thickness deviation during the production of hollow turbine blade wax patterns. By setting up a location error transmission model and a reverse adjustment model, the mathematical relationship between the measurement results of wall thickness deviation and the compensation of ceramic core locators is established. Moreover, the wall thickness deviation of a batch of wax patterns is measured by using an ultrasonic pulse reflection method. According to the measurement results, the ceramic core locators are readjusted. Furthermore, a new batch of wax patterns are produced for demonstration. The result shows that this algorithm can calculate the dimensional compensation of ceramic core locators effectively and thus provide guidance for raising the setting efficiency of hollow turbine blade wax patterns and controlling the accuracy of hollow turbine blade wall thickness.
CUI Kang, WANG Wenhu, JING Ruisong, ZHAO Degao
. Reverse Adjustment Algorithm of Ceramic Core Locators in Hollow Turbine Blade Investment Casting Die[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011
, 32(10)
: 1924
-1929
.
DOI: CNKI:11-1929/V.20110427.1601.007
[1] 张立同, 曹腊梅, 刘国利, 等. 近净形熔模精密铸造理论与实践[M]. 北京: 国防工业出版社, 2007. Zhang Litong, Cao Lamei, Liu Guoli, et al. Theory and practice of near net-shape investment casting[M]. Beijing: National Defense Industry Press, 2007. (in Chinese)
[2] Asada H, By A. Kinematic analysis of workpiece fixturing for flexible assembly with automatically reconfigurable fixtures [J]. IEEE Journal of Robotics and Automation, 1985, 1(2): 86-94.
[3] Hong M, Payandeh S, Gruver W A. Modeling and analysis of flexible fixturing systems for agile manufacturing[J]. Systems, Man, and Cybernetics, 1996, 2: 1231-1236.
[4] Yan H C, Ahmad S. Kinematic analysis of fixturing systems for robot aided assembly //Proceedings of IEEE International Conference on Systems Engineering. 1990: 499-502.
[5] Wang M Y. Tolerance analysis for fixture layout design[J]. Journal of Assembly Automation, 2002, 22(2): 153-162.
[6] Rong Y, Hu W, Kang Y, et al. Locating error analysis and tolerance assignment for computer aided fixture design [J]. International Journal of Production Research, 2001, 39(15): 3529-3545.
[7] Hu W, Rong Y. A fast interference checking algorithm for automated fixture design verification [J]. The International Journal of Advanced Manufacturing Technology, 2000, 16(8): 571-581.
[8] Li J, Ma W, Rong Y. Fixturing surface accessibility analysis for automated fixture design [J]. International Journal of Production Research, 1999, 37(13): 2997-3016.
[9] Huang X, Gu P. Tolerance analysis in setup and fixture planning for precision machining //Proceedings of IEEE International Conference on Computer Integrated Manufacturing and Automation Technology. 1994: 298-305.
[10] Kang Y, Rong Y, Yang J C. Computer aided fixture design verification. Part 1. the framework and modeling [J]. International Journal of Advanced Manufacturing Technology, 2003, 21(10-11): 827-835.
[11] Kang Y, Rong Y, Yang J C. Computer aided fixture design verification. Part 2. tolerance analysis [J]. International Journal of Advanced Manufacturing Technology, 2003, 21(10-11): 836-841.
[12] Kang Y, Rong Y, Yang J C. Computer aided fixture design verification. Part 3. stability analysis [J]. International Journal of Advanced Manufacturing Technology, 2003, 21(10-11): 842-849.
[13] Hockenberger M J, de Meter E C. The application of meta-functions to the quasi-static analysis of workpiece displacement within a machining fixture [J]. Journal of Manufacturing Science and Engineering, 1996, 118(3): 325-331.
[14] Liu Y H, Lam M L, Ding D. A complete and efficient algorithm for searching 3D form-closure grasps in the discrete domain [J]. IEEE Transactions on Robotics and Automation, 2004, 20(4): 805-816.
CJA