Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Mechanical measurement system
Reexamination Certificate
2007-12-04
2007-12-04
Barlow, John (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Mechanical measurement system
C264S040300
Reexamination Certificate
active
11030719
ABSTRACT:
Method and apparatus to detect and characterize a defect in a fiber preform residing in a preform-receiving cavity of a mold or simulated mold of the type used for liquid composite molding (e.g., resin transfer molding) to make a composite component or structure. The defect may result from fiber preform misplacement in the cavity, accidental inclusions, preform density variations, and/or distortion of the preform. Transient gas or other fluid pressures at multiple locations of the cavity are measured during changing of fluid pressure in the cavity. The measured transient pressures, or data derived therefrom, are analyzed to determine membership of the fiber preform in one of two or more groups that include a standard defect-free group and a defective group, whereby the method determines if the fiber preform or its position in the cavity deviates from the standard defect-free group.
REFERENCES:
patent: 3971689 (1976-07-01), Peppler
patent: 4347069 (1982-08-01), Haney et al.
patent: 4387833 (1983-06-01), Venus, Jr.
patent: 4940563 (1990-07-01), Kromrey
patent: 5045251 (1991-09-01), Johnson
patent: 6532799 (2003-03-01), Zhang et al.
patent: 6853925 (2005-02-01), Daniel et al.
patent: 2002/0046596 (2002-04-01), Zhang et al.
Dimension prediction and control for resin transfer molding process; Proceedings of SAMPE Conference; pp. 1-14; May 11-15, 2003; C. Dong et al.
Gas assisted real-time assessment of whole-field permeability profile of fiber preform for liquid composite molding processes; Proceedings of SAMPE Conference; pp. 1-13; May 11-15, 2003; C. Zhang et al.
Optimal control of accelerator concentration for resin transfer molding process; International Journal of Heat and Mass Transfer, vol. 46, pp. 3747-3754, 2003, S.K. Kim et al.
Gas Flow Method for Detecting Local Preform Defects by Inverse Estimation of Space-varying Permeability; Journal of Composite Materials, vol. 37, No. 15, pp. 1367-1383, 2003, S.K. Kim et al.
Deterimination of three-dimensional permeability of fiber preforms by the inverse parameter estimation technique; Composites: Part A, vol. 34, pp. 421-429, 2003, S.K. Kim et al.
Determination of In-Plane Permeability of Fiber Preforms by the Gas Flow Method Using Pressure Measurements; Polymer Composites, vol. 24, No. 1, pp. 34-44, 2003, S.K. Kim et al.
Determination of permeability of fibrous medium considering inertial effects; Int. Comm. Heat Mass Transfer, vol. 29, No. 7, pp. 879-885, 2002, S.K. Kim et al.
Detection of local preform defects by gas flow method and statistical analysis; Advanced Composites Letters; vol. 12, No. 3, pp. 109-114, 2003, S.K. Kim et al.
In-Situ quality control of RTM preforms by the gas flow method; 48th International SAMPE Symposium, pp. 1702-1713, May 11-15, 2003.
Solution to inverse heat conduction problem in nanoscale using sequential method; Numerical Heat Transfer, Part B; vol. 44; pp. 439-456, 2003, S.K. Kim et al.
In-situ measurement and monitoring of fiber preform permeability for liquid composite molding; Proceedings of the 45th International SAMPE Symposium, vol. 45, p. 2053, 2000, Z. Liang et al.
Gas flow method for detection of local preform defects based on statistical analysis; Proceedings of ICCM 14 Conference; pp. 1-8 Jul. 14-18, 2003; S.K. Kim and I.M. Daniel.
New set-up for measurement of permeability properties of fibrous reinforcements for RTM; Composites: Part A, vol. 33, pp. 959-969, 2002, K. Hoes et al.
Permeability Measurement and Flow Simulation Through Fiber Reinforcement; Polymer Composites; vol. 17, No. 1, pp. 34-42, Feb. 1996, R. Gauvin et al.
A control volume finite-element method for two-dimensional fluid flow and heat-transfer; Numerical Heat Transfer, vol. 6, pp. 245-261, 1983, B.R. Baliga et al.
A gas flow method for determination of in-plane permeability of fiber preforms; Polymer Composites, vol. 22, No. 1, pp. 47-56, 2001, M.K. Um et al.
Statistical characterization of fiber permeability for composite manufacturing; Polymer Composites, vol. 21, No. 6, pp. 996-1006, Dec. 2000, R. Pan et al.
Gas flow test of Braided Preform Quality for Resin Transfer Molding; Advanced Composites Letters, vol. 12, No. 4, pp. 161-163, Sep. 2003, S.K. Kim et al.
Sawley et al., Modelling of Flow in Porous and Resin Transfer Moulding Using Smoothed Particle Hydrodynamics, Dec. 6-8, 1999, Second International Conference on CFD in the Minerals and Process Industries, Australia.
Berker et al., Sensor Based Modeling and Control of Fluid Flow in Resin Transfer Molding, Oct. 1998, Journal of Materials Processing & Manufacturing Science, vol. 7, pp. 195-214.
Mathur et al., Optimization of Gate and Vent Locations for Resin Infusion Processes Using Genetic Algorithms, Jun. 1998, Proceeding of the American Control Conference, Philadelphia, pp. 2176-2180.
Sevostianov et al., Mathematical Model of Cavitation During Resin Film Infusion Process, 2000, Composite Structures, vol. 48, pp. 197-203.
In-situ measurement and monitoring of fiber preform permeability for liquid composite molding, 45th International SAMPE Symposium, pp. 1-10, 2000, Z. Liang et al.
A permeability database for composites manufacturing, Polymer Composites, 18 (5) , pp. 623-633, Oct. 1997, R. Parnas et al.
New sensor-based set-up for permeability-identification, Proc. Of Third Canadian Conf. on Composites (CANCOM 2001), Session 2A1, pp. 1-8, 2001, K. Hoes et al.
Daniel Isaac M.
Kim Sun Kyoung
Barlow John
Le Toan M.
Northwestern University
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