Research Papers

Pressure and Draw-In Maps for Stamping Process Monitoring

[+] Author and Article Information
Sripati Sah

Persimmon Technologies Corp.,
Wakefield, MA 01880

Numpon Mahayotsanun

Department of Mechanical Engineering,
Faculty of Engineering,
Khon Kaen University,
Khon Kaen 40002, Thailand

Michael Peshkin, Jian Cao

Department of Mechanical Engineering,
Northwestern University,
Evanston, IL 60208

Robert X. Gao

Department of Mechanical
and Aerospace Engineering,
Case Western Reserve University,
Cleveland, OH 44106

1S. Sah and N. Mahayotsanun contributed equally to this work.

Manuscript received November 15, 2015; final manuscript received March 8, 2016; published online June 20, 2016. Assoc. Editor: Matteo Strano.

J. Manuf. Sci. Eng 138(9), 091005 (Jun 20, 2016) (15 pages) Paper No: MANU-15-1585; doi: 10.1115/1.4033039 History: Received November 15, 2015; Revised March 08, 2016

This paper presents two tooling-integrated sensing techniques for the in situ measurement and analyses of pressure distribution at the tool–workpiece interface and material draw-in during the stamping processes. Specifically, the contact pressure distribution is calculated from the measurements by an array of force sensors embedded in the punch, whereas sheet draw-in is measured by custom-designed thin film sensors integrated in the binder. Quantification of the pressure distribution from spatially distributed sensors has been investigated as a regularization problem and solved through energy minimization. Additionally, a Bayesian framework has been established for combining finite-element analysis (FEA) based estimates of the pressure distribution with experimentally measured evidence, to achieve improved spatiotemporal resolution. A new data visualization technique termed pressure and draw-in (PDI) map has been introduced, which combine spatiotemporal information from the two sensing techniques into an illustrative representation by capturing both the tool–workpiece interaction (dynamic information) and resulting workpiece motion (kinematic information) in a series of time-stamped snap shots. Together, the two separate yet complementary process-embedded sensing methods present an effective tool for quantifying process variations in sheet metal stamping and enable new insight into the underlying physics of the process.

Copyright © 2016 by ASME
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Hasan, R. , Kasikci, T. , Tsukrov, I. , and Kinsey, B. L. , 2013, “ Numerical and Experimental Investigations of Key Assumptions in Analytical Failure Models for Sheet Metal Forming,” ASME J. Manuf. Sci. Eng., 136(1), p. 011013. [CrossRef]
Ahmetoglu, M. A. , Altan, T. , and Kinzel, G. L. , 1992, “ Improvement of Part Quality in Stamping by Controlling Blank-Holder Force and Pressure,” J. Mater. Process. Technol., 33(1), pp. 195–214. [CrossRef]
Hsu, C. W. , Ulsoy, A. G. , and Demeri, M. Y. , 2002, “ Development of Process Control in Sheet Metal Forming,” J. Mater. Process. Technol., 127(3), pp. 361–368. [CrossRef]
Lin, Z. Q. , Wang, W. R. , and Chen, G. L. , 2007, “ A New Strategy to Optimize Variable Blank Holder Force Towards Improving the Forming Limits of Aluminum Sheet Metal Forming,” J. Mater. Process. Technol., 183(2–3), pp. 339–346.
Cao, J. , and Boyce, M. C. , 1997, “ A Predictive Tool for Delaying Wrinkling and Tearing Failures in Sheet Metal Forming,” ASME J. Eng. Mater. Technol., 119(4), pp. 354–365. [CrossRef]
Ahmetoglu, M. A. , Broek, T. R. , Kinzel, G. , and Altan, T. , 1995, “ Control of Blank Holder Force to Eliminate Wrinkling and Fracture in Deep-Drawing Rectangular Parts,” CIRP Ann. Manuf. Technol., 44(1), pp. 247–250. [CrossRef]
Ge, M. , Du, R. , Zhang, G. , and Xu, Y. , 2004, “ Fault Diagnosis Using Support Vector Machine With an Application in Sheet Metal Stamping Operations,” Mech. Syst. Signal Process., 18(1), pp. 143–159. [CrossRef]
Majeske, K. D. , and Hammett, P. C. , 2003, “ Identifying Sources of Variation in Sheet Metal Stamping,” Int. J. Flexible Manuf. Syst., 15(1), pp. 5–18. [CrossRef]
Doolan, M. C. , Kalyanasundaram, S. , Hodgson, P. , and Hall, M. C. , 2001, “ Identifying Variation in Sheet Metal Stamping,” J. Mater. Process. Technol., 115(1), pp. 142–146. [CrossRef]
Souza, T. D. , and Rolfe, B. , 2008, “ Multivariate Modelling of Variability in Sheet Metal Forming,” J. Mater. Process. Technol., 203(3), pp. 1–12. [CrossRef]
Garcia, D. , Orteu, J. J. , and Penazzi, L. , 2002, “ A Combined Temporal Tracking and Stereo-Correlation Technique for Accurate Measurement of 3D Displacements: Application to Sheet Metal Forming,” J. Mater. Process. Technol., 125–126, pp. 736–742. [CrossRef]
Lim, Y. , Venugopal, R. , and Ulsoy, A. G. , 2014, Process Control for Sheet-Metal Stamping, Springer, London.
Nelson, A. W. , Malik, A. S. , Wendel, J. C. , and Zipf, M. E. , 2014, “ Probabilistic Force Prediction in Cold Sheet Rolling by Bayesian Inference,” ASME J. Manuf. Sci. Eng., 136(4), p. 041006. [CrossRef]
Kernosky, S. K. , Weinmann, K. J. , Michler, J. R. , and Kashani, A. R. , 1998, “ Development of a Die Shoulderforce Transducer for Sheet Metal Forming Research,” ASME J. Manuf. Sci. Eng., 120(1), pp. 42–48. [CrossRef]
Du, H. , and Klamecki, B. E. , 1999, “ Force Sensors Embedded in Surfaces for Manufacturing and Other Tribological Process Monitoring,” ASME J. Manuf. Sci. Eng., 121(4), pp. 739–748. [CrossRef]
Lo, S. W. , and Yang, T. C. , 2004, “ Closed-Loop Control of the Blank Holding Force in Sheet Metal Forming With a New Embedded-Type Displacement Sensor,” Int. J. Adv. Manuf. Technol., 24(7–8), pp. 553–559. [CrossRef]
Doege, E. , Seidel, H. J. , Griesbach, B. , and Yun, J. W. , 2002, “ Contactless On-Line Measurement of Material Flow for Closed Loop Control of Deep Drawing,” J. Mater. Process. Technol., 130, pp. 95–99. [CrossRef]
Sah, S. , 2011, “ Embedded Sensing and Characterization of Contact Pressure Distributions for Advanced Stamping Process Monitoring,” Ph.D. dissertation, University of Connecticut, Storrs, Toronto, CT.
Halliday, D. , Reswick, R. , and Walker, J. , 1997, Fundamentals of Physics Extended, Wiley, Canada, pp. 729–732.
Kopczynski, P. , 1992, “ LVDTs, Theory and Application,” Sensors, 9, pp. 18–22.
Cao, J. , Lee, J. H. , and Peshkin, M. , 2004, “ Real-Time Draw-In Sensors and Methods of Fabrication,” U.S. Patent No. 6,769,280.
Saslow, W. M. , 2002, “ How Electric Currents Make Magnetic Field: The Biot-Savart Law and Ampère's Law,” Electricity, Magnetism, and Light, Academic Press, Cambridge, MA, pp. 460–504.
Gao, R. , Sah, S. , and Mahayotsanun, N. , 2010, “ On-Line Measurement of CPD at Tool–Workpiece Interfaces in Manufacturing Operations,” Ann. CIRP, 59(1), pp. 399–402. [CrossRef]
Tikhonov, A. N. , and Arsenin, V. Y. , 1977, Solutions of Ill-Posed Problems, Winston, New York.
Szeliski, R. , 1990, “ Bayesian Modeling of Uncertainty in Low-Level Vision,” Int. J. Comput. Vision, 5(3), pp. 271–301. [CrossRef]
Terzopoulos, D. , 1986, “ Regularization of Inverse Visual Problems Involving Discontinuities,” IEEE Trans. Pattern Anal. Mach. Intell., 8, pp. 413–424. [CrossRef]
Roshan Joseph, V. , and Melkote, S. N. , 2009, “ Statistical Adjustments to Engineering Models,” J. Qual. Technol., 41, pp. 362–375.
Dyn, N. , Levine, D. , and Gregory, J. A. , 1990, “ A Butterfly Subdivision Scheme for Surface Interpolation With Tension Control,” ACM Trans. Graphics, 9(2), pp. 160–169. [CrossRef]
Fuentes, M. , and Raftery, A. , 2005, “ Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations With Outputs From Numerical Models,” Biometrics, 61(1), pp. 36–45. [CrossRef] [PubMed]
Bookstein, F. L. , 1989, “ Principal Warps: Thin Plate Splines and the Decomposition of Deformations,” IEEE Trans. Pattern Anal. Mach. Intell., 11(6), pp. 567–585. [CrossRef]
Sah, S. , Gao, R. , and Kurp, T. , 2011, “ Model-Augmented Methods for Estimation of Pressure Distribution,” J. Manuf. Syst., 30(4), pp. 223–233. [CrossRef]


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Fig. 1

Illustration of the physical setup of stamping operation

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Fig. 2

Current state of sensing and the proposed technique

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Fig. 3

Top-mount sensing schematic and prototypes

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Fig. 4

Effect of embedding clearance on local pressure distribution

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Fig. 5

Effect of clearance on top-mount sensor performance

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Fig. 6

Draw-in sensor based on the mutual inductance

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Fig. 7

Schematic of draw-in sensor for induced EMF calculation

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Fig. 8

Schematic of electromagnetic simulation considering the electromagnetic properties of the metal

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Fig. 9

Electromagnetic simulation results of induced voltage (EMF) versus displacement of AA3003 sheet having 0.76 mm thickness

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Fig. 10

Draw-in sensor transducers design and development

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Fig. 11

Lab-scale draw-in testing apparatus

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Fig. 12

Induced voltage versus displacement of AA3003 sheet having 0.76 mm thickness

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Fig. 13

Slope (induced voltage/displacement) versus sheet thickness comparison

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Fig. 14

Large-scale experimental setup with tooling-integrated force and draw-in sensors

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Fig. 15

Pressure measured at 12 locations in three repeated tests [10]

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Fig. 16

TD locations in the die and binder

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Fig. 17

Draw-in amount versus punch position of the stamping test of AA5182 having 1.56 mm thickness

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Fig. 18

Contact pressure at punch–workpiece interface estimated by FEA, Bayesian, and TPS

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Fig. 19

PDI map of the stamping process indicating pressure distribution (MPa) and draw-in (3 × mm)

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Fig. 20

PDI map of the stamping process indicating pressure distribution (MPa) and draw-in (3 × mm)




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