Modified Elman network for thermal deformation compensation modeling in machine tools

International Journal of Advanced Manufacturing Technology

Volumn 54, Issue 5-8, 2011, Pages 669-676

  Yang, Zhiyong ^a   Sun, Minglu ^a   Li, Weiqian ^b   Liang, Wenyong ^b  

^a TIANJIN UNIVERSITY   (China)

^b Tianshui Spark Machine Tool Co Ltd   (China)

Author keywords

Elman network; Finite element method; Machine tool; Simulation; Thermal deformation

Indexed keywords

COMPENSATION SYSTEMS; CONVECTION COEFFICIENTS; DYNAMIC CHARACTERISTICS; ELMAN NETWORK; FINITE ELEMENT MODELS; HIDDEN LAYERS; KEY PARTS; MACHINING ERROR; MEMORY FUNCTIONS; NON-LINEAR RELATIONSHIPS; OUTPUT LAYER; PRECISION MACHINING; PREDICTION ACCURACY; SIMULATION; TEMPERATURE FIELD; THERMAL DEFORMATION; THERMAL DEFORMATION COMPENSATION; THERMAL ERROR;

COMPUTER SIMULATION; DEFORMATION; EQUIPMENT; ERRORS; MACHINE TOOLS; MACHINING; NEURAL NETWORKS; PRECISION ENGINEERING;

FINITE ELEMENT METHOD;

EID: 79955649673     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-010-2961-3     Document Type: Article

References (16)

1. Krulewich DA (1998) Temperature integration model and measurement point selection for thermally induced machine tool errors. Mechatronics 8:395-412 (Pubitemid 128394142)
2. Chen JS, Yuan JX, Ni J (1996) Thermal error modeling for realtime error compensation. Int J Adv Manuf Technol 12(4):266-275
3. Yan JY, Yang JG (2009) Application of synthetic grey correlation theory on thermal point optimization for machine tool thermal error compensation. Int J Adv Manuf Technol 43:1124-1132
4. Donmez MA, Blomquist RJ, Hocken RJ, Liu CR, Barash MM (1986) A general methodology for machine tool accuracy enhancement by error compensation. Precis Eng 8(4):87-195
5. Chen JS, Yuan JX, Ni J, Wu SM (1993) Real-time compensation for time-variant volumetric errors on a machining center. J Eng Ind 115:472-479
6. Yang H, Ni J (2003) Dynamic modeling for machine tool thermal error compensation. J Manuf Sci Eng 125:245-254
7. Wang Y, Zhang G, Moon KS, Sutherland JW (1998) Compensation for the thermal error of a multi-axis machining center. J Mater Process Technol 75:45-53 (Pubitemid 128408383)
8. Li YX, Yang JG, Gelvis T, Li YY (2008) Optimization of measuring points for machine tool thermal error based on grey system theory. Int J Adv Manuf Technol 35:745-750 (Pubitemid 350260748)
9. Choi H-S, Lee S-K (2002) Machining error compensation of external cylindrical grinding using thermally actuated rest. Mechatronics 12:643-656 (Pubitemid 34405206)
10. Hattori M, Noguchi H, Ito S, Suto T, Inoue H (1996) Estimation of thermal deformation in machine tools using neural network technique. J Mater Process Technol 56:765-772 (Pubitemid 126341236)
11. Veldhuis SC, Elbestawi MA (1995) A strategy for the compensation of errors in five-axis machining. CIRP Ann-Manuf Techn 44(1): 373-377
12. Kang Y, Chang CW, Huang Y, Hsu CL, Nieh I-F (2007) Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools. Int J Mach Tools Manuf 47:376-387 (Pubitemid 44738465)
13. Zhao HT, Yang JG, Shen JH (2007) Simulation of thermal behavior of a CNC machine tool spindle. Int J Mach Tools Manuf 47:1003-1010
14. Xu M, Jiang SY, Cai Y (2007) An improved thermal model for machine tool bearings. Int J Mach Tools Manuf 47:53-62
15. Pahk HJ, Lee SW (2002) Thermal error measurement and real time compensation system for the CNC machine tools incorporating the spindle thermal error and the feed axis thermal error. Int J Adv Manuf Technol 20:487-494 (Pubitemid 35289384)
16. Hecht-Nielsen R (1987) Kolmogorov's mapping neural network existence theorem. In IEEE First International Conference on Neural Networks, vol. 3. New York, pp 11-14