Prediction and compensation of countersinking depth error in drilling of thin-walled workpiece

The countersink depth accuracy is a remarkable quality index in modern aerospace industry, and it needs to be controlled quite accurately due to the extremely tight tolerances. However, the wide use of the thin-walled workpiece with low stiffness makes it difficult to achieve the required tolerance because of the complex deformation in the countersinking process. Focusing on the accurate control of countersink depth in the drilling of thin-walled workpiece, this paper provides a novel insight into the study on predicting of the feasible workpiece deformation and compensating for the countersink depth error through both theoretical and experimental analyses. An analytical model of workpiece deformation is first presented with the Fourier series approach in this study, and the finite element simulation is carried out to verify the model precision. Then a flexible cutting force model is developed to help to analyze the effect of deformation on the thrust force in the countersinking process. A novel approach of integrated iterative algorithm, that considers both the deformation and the cutting force, is established to calculate the final feasible deformation and make decision for the countersink depth error compensation, and the generalized convergence and adaptability of this iterative algorithm are investigated based on the calculus theory. Finally, the proposed integrated methodology is verified by multivariate simulations and experiments, and the results show that the countersink depth accuracy could be effectively guaranteed by countersinking with compensation based on this integrated methodology. The work in this paper enables us to understand the causes of poor countersink depth accuracy in the drilling of thin-walled workpiece and develop new countersinking techniques to satisfy the tight tolerance.

[1]  Wencheng Tang,et al.  The deformation analysis, prediction, and experiment verification for thin-wall part assembly based on the fractal theory model with WNNM , 2017 .

[2]  Arif Gok,et al.  A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA , 2015 .

[3]  Ken Chen,et al.  Investigation on the non-coaxiality in the drilling of carbon-fibre-reinforced plastic and aluminium stacks , 2018 .

[4]  Svetan Ratchev,et al.  Force and deflection modelling in milling of low-rigidity complex parts , 2003 .

[5]  John Hartmann,et al.  Robotic Drilling System for 737 Aileron , 2007 .

[6]  Zhengcai Zhao,et al.  Deformation analysis and error prediction in machining of thin-walled honeycomb-core sandwich structural parts , 2018 .

[7]  Liu Zhanqiang,et al.  Deformations of thin-walled plate due to static end milling force , 2008 .

[8]  Kadir Gok,et al.  Development of three-dimensional finite element model to calculate the turning processing parameters in turning operations , 2015 .

[9]  Yinglin Ke,et al.  A helical milling and oval countersinking end-effector for aircraft assembly , 2017 .

[10]  Ken Chen,et al.  A theoretical model for predicting the CFRP drilling-countersinking thrust force of stacks , 2019, Composite Structures.

[11]  FANG QiangMENG Xiang-leiKE Ying-lin Fei Shao-hua Countersink depth control of robot drilling based on pressure foot displacement compensation , 2012 .

[12]  Patrick Kwon,et al.  Tool wear in drilling of composite/titanium stacks using carbide and polycrystalline diamond tools , 2011 .

[13]  Arif Gök,et al.  Three-dimensional finite element model of friction drilling process in hot forming processes , 2017 .

[14]  Liping Wang,et al.  Machining deformation prediction of thin-walled workpieces in five-axis flank milling , 2018, The International Journal of Advanced Manufacturing Technology.

[15]  Hui Wang,et al.  3D machining allowance analysis method for the large thin-walled aerospace component , 2017 .

[16]  S. Timoshenko,et al.  THEORY OF PLATES AND SHELLS , 1959 .

[17]  Svetan Ratchev,et al.  Milling error prediction and compensation in machining of low-rigidity parts , 2004 .

[18]  Mark Brown,et al.  Womb to Tomb SPC Control of Fasteners from Rivet Manufacture to Installation using Existing Software , 2003 .

[19]  Xinguo Ma,et al.  Quantitative Analysis and Improvement of Countersink Depth in Stack Drilling , 2015 .

[20]  Kadir Gok,et al.  NUMERICAL ANALYSIS OF TEMPERATURE, SCREWING MOMENT AND THRUST FORCE USING FINITE ELEMENT METHOD IN BONE SCREWING PROCESS , 2017 .

[21]  Dave Kim,et al.  A study on the drilling of composite and titanium stacks , 2001 .

[22]  Yinglin Ke,et al.  Analytical and experimental study on deformation of thin-walled panel with non-ideal boundary conditions , 2018, International Journal of Mechanical Sciences.

[23]  A. Gök,et al.  Determination of experimental, analytical, and numerical values of tool deflection at ball end milling of inclined surfaces , 2016 .

[24]  Xinguo Ma,et al.  An approach to countersink depth control in the drilling of thin-wall stacked structures with low stiffness , 2018 .

[25]  Bin Luo,et al.  A novel six-state cutting force model for drilling-countersinking machining process of CFRP-Al stacks , 2017 .