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Luis Durão, M. Moura, A. Marques (2006)
Numerical simulation of the drilling process on carbon/epoxy composite laminatesComposites Part A-applied Science and Manufacturing, 37
D. Vaughan (1970)
A nonrecursive algebraic solution for the discrete Riccati equationIEEE Transactions on Automatic Control, 15
U. Khashaba (2003)
Delamination in drilling GFR-thermoset compositesComposite Structures, 63
Raúl Toro, Michael Schmittdiel, Rodolfo Haber-Guerra, Rodolfo Haber-Haber (2007)
System Identification of the High Performance Drilling Process for Network-Based Control
S. Kawaji, Y. Suenaga, T. Maeda, N. Matsunaga, T. Sasaoka (1995)
Control of cutting torque in the drilling process using disturbance observerProceedings of 1995 American Control Conference - ACC'95, 1
N. Bhatnagar, N. Naik, N. Ramakrishnan (1993)
EXPERIMENTAL INVESTIGATIONS OF DRILLING ON CFRP COMPOSITESMaterials and Manufacturing Processes, 8
D. Naidu, S. Naidu, R. Dorf (2018)
Optimal Control Systems
M. Ramulu, T. Branson, Dave Kim (2001)
A study on the drilling of composite and titanium stacksComposite Structures, 54
Joong-Bae Kim, Sang-Jo Lee, Young-Pil Park (1994)
Stable and efficient drilling process by active control of the thrust forceMechanical Systems and Signal Processing, 8
J. Davim, P. Reis, C. Antonio (2004)
Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-upComposites Science and Technology, 64
C. Tsao, Wen-Chou Chen (1997)
Prediction of the location of delamination in the drilling of composite laminatesJournal of Materials Processing Technology, 70
L.B. Zhang, L.J. Wang, X.-Y. Liu (2001)
A mechanical model for predicting critical thrust forces in drilling composite laminatesProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 215
R. Rockafellar (1970)
Conjugate convex functions in optimal control and the calculus of variationsJournal of Mathematical Analysis and Applications, 32
Y. Oh, Gi-Dae Kim, C. Chu (2003)
Design of a Drilling Torque Controller for a Machining CenterThe International Journal of Advanced Manufacturing Technology, 22
C. Dharan, M. Won (2000)
Machining parameters for an intelligent machining system for composite laminatesInternational Journal of Machine Tools & Manufacture, 40
N. Bhatnagar, Mukesh Jalutharia, I. Singh (2008)
Prediction of thrust force and torque when drilling composite materialsInternational Journal of Materials & Product Technology, 32
Ye Sheng, M. Tomizuka, Motoyoshi Ozak (2000)
Dynamic modeling and adaptive predictive control (APC) of drilling of composite materialsProceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 4
E. Capello, V. Tagliaferri (2001)
Drilling Damage of GFRP and Residual Mechanical Behavior - Part II: Static and Cyclic Bearing LoadsJournal of Composites Technology & Research, 23
R. Furness, T. Tsao, J. Rankin, Michael Muth, Kenneth Manes (1999)
Torque control for a form tool drilling operationIEEE Trans. Control. Syst. Technol., 7
R. Teti (2002)
Machining of Composite MaterialsCIRP Annals, 51
Athanasios Sideris, L. Rodríguez (2011)
A Riccati approach for constrained linear quadratic optimal controlInternational Journal of Control, 84
Rodolfo Haber-Haber, R. Haber, Michael Schmittdiel, Raúl Toro (2007)
A classic solution for the control of a high-performance drilling processInternational Journal of Machine Tools & Manufacture, 47
M. Kim, N. Matsunaga, S. Kawaji (2003)
Estimation of cutting torque in drilling system based on flexible neural networkProceedings of the International Joint Conference on Neural Networks, 2003., 1
S. Kawaji, M. Arao, Y. Chen (2001)
Thrust force control of drilling system using neural network2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556), 1
Luis Durão, M. Moura, A. Marques (2008)
Numerical prediction of delamination onset in carbon/epoxy composites drillingEngineering Fracture Mechanics, 75
A. Singh, Manu Sharma, I. Singh (2014)
PID control of torque during drilling in GFRP laminatesMultidiscipline Modeling in Materials and Structures, 10
Roshan Mishra, Dr. Malik, I. Singh, J. Davim (2010)
Neural network approach for estimating the residual tensile strength after drilling in uni-directional glass fiber reinforced plastic laminatesMaterials & Design, 31
A. Singh, Manu Sharma, I. Singh (2013)
A review of modeling and control during drilling of fiber reinforced plastic compositesComposites Part B-engineering, 47
R. Stone, K. Krishnamurthy (1996)
A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminatesInternational Journal of Machine Tools & Manufacture, 36
B. Chung, M. Tomizuka (2001)
Fuzzy logic modeling and control for drilling of composite laminates10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 1
W. König, P. Grass (1989)
Quality Definition and Assessment in Drilling of Fibre Reinforced ThermosetsCIRP Annals, 38
A. Abrão, P. Faria, J. Rubio, P. Reis, J. Davim (2007)
Drilling of fiber reinforced plastics: A reviewJournal of Materials Processing Technology, 186
C. Tsao, H. Hocheng (2004)
Taguchi analysis of delamination associated with various drill bits in drilling of composite materialInternational Journal of Machine Tools & Manufacture, 44
H. Hocheng, C. Dharan (1990)
Delamination During Drilling in Composite LaminatesJournal of Engineering for Industry, 112
I. Singh, N. Bhatnagar (2006)
Drilling of uni-directional glass fiber reinforced plastic (UD-GFRP) composite laminatesThe International Journal of Advanced Manufacturing Technology, 27
I. Singh, N. Bhatnagar (2006)
Drilling-induced damage in uni-directional glass fiber reinforced plastic (UD-GFRP) composite laminatesThe International Journal of Advanced Manufacturing Technology, 27
B. Chung, M. Tomizuka (2001)
Fuzzy Logic Modeling & Control for Drilling Composite Laminates.
H. Hocheng, C. Tsao (2005)
The path towards delamination-free drilling of composite materialsJournal of Materials Processing Technology, 167
E. Capello, V. Tagliaferri (2001)
Drilling Damage of GFRP and Residual Mechanical Behavior—Part I: Drilling Damage GenerationJournal of Composites Technology & Research, 23
D. Bhattacharyya, D. Horrigan (1998)
A study of hole drilling in Kevlar compositesComposites Science and Technology, 58
F. Lachaud, R. Piquet, F. Collombet, Laurent Surcin (2001)
Drilling of composite structuresComposite Structures, 52
A. Singh, Manu Sharma (2013)
Modelling of Thrust Force during Drilling of Fibre Reinforced Plastic CompositesProcedia Engineering, 51
S. Karnik, V. Gaitonde, J. Rubio, A. Correia, A. Abrão, J. Davim (2008)
Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network modelMaterials & Design, 29
Purpose– Damage due to delamination is an important issue during drilling in polymer-matrix composites (PMCs). It depends on thrust force and torque which are functions of feed rate. Transfer function of thrust force with feed rate and torque with feed rate is constructed through experiments. These transfer functions are then combined in state-space to formulate a sixth-order model. Then thrust force and torque are controlled by using optimal controller. The paper aims to discuss these issues.Design/methodology/approach– A glass fiber reinforced plastic composite is drilled at constant feed rate during experimentation. The corresponding time response of thrust force and torque is recorded. Third-order transfer functions of thrust force with feed rate and torque with feed rate are identified using system identification toolbox of Matlab®. These transfer functions are then converted into sixth-order combined state-space model. Optimal controller is then designed to track given reference trajectories of thrust force/torque during drilling in composite laminate. Findings– Optimal control is used to simultaneously control thrust force as well as torque during drilling. There is a critical thrust force during drilling below which no delamination occurs. Therefore, critical thrust force profile is used as reference for delamination free drilling. Present controller precisely tracks the critical thrust force profile. Using critical thrust force as reference, high-speed drilling can be done. The controller is capable of precisely tracking arbitrary thrust force and torque profile simultaneously. Findings suggest that the control mechanism is efficient and can be effective in minimizing drilling induced damage in composite laminates. Originality/value– Simultaneous optimal control of thrust force and torque during drilling in composites is not available in literature. Feed rate corresponding to critical thrust force trajectory which can prevent delamination at fast speed also not available has been presented.
Multidiscipline Modeling in Materials and Structures – Emerald Publishing
Published: Nov 4, 2014
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