In order to develop an on-line system to characterize fabric bending rigidity, four potential loop shapes are proposed. Loop shapes are chosen such that they can be formed under dynamic conditions. Results from theoretical models of these loops show the nature of the response of loop shapes to varying fabric bending behaviors. Two candidate loop shapes are identified for further investigation under nonlinear and dynamic conditions.
Get full access to this article
View all access options for this article.
References
1.
AscherU. M., “Numerical Solution of Boundary Value Problems for Ordinary Differential Equations,”Englewood Cliffs, Prentice-Hall, NJ, 1988, p. 267.
2.
ASTM Annual Book of Standards, vol. 07.01, Textiles-Yarns, Fabrics, and General Test Methods, Philadelphia, ASTM, 356–359, 1993.
BonaM., “Modern Control Techniques in the Textile Finishing and Making-Up,”Universidade do Minho, Portugal, 1990.
5.
BreenD. E.HouseD. H.WoznyM. J., A Practical-Based Model for Simulating the Draping Behavior of Woven Cloth, Textile Res. J.64 (11), 663–685 (1994).
6.
BrownP. R., Large Deflection Bending of Woven Fabric for Automated Material Handling, Master's thesis, North Carolina State University, Raleigh, NC1988.
7.
BurdenRichard L., “Numerical Analysis,”5th ed., Prindle, Weber & Schmidt series in mathematics, PWS-Kent, Boston, 1993, p. 621.
8.
CabanJ. C., Denier Control—On-Line or Off-Line?Fiber Prod.10 (6), 40–47 (1982).
9.
ChenB.GovindarajM., A Practically Based Model of Fabric Drape Using Flexible Shell Theory, Textile Res. J.65 (6), 324–330 (1995).
10.
ClappT. G., The On-Line Inspection of Sewn Seams, NTC Research Brief, 1995.
11.
ClappT. G.PengH.GhoshT. K.EischenJ. W., Indirect Measurement of the Moment-Curvature Relationship for Fabrics, Textile Res. J.60 (9), 525–533 (1990).
12.
ClappT. G.PengH., A Comparison of Linear and Non-linear Bending Models for Predicting Fabric Deformation in Automated Handling, J. Textile Inst.82 (3), 341–352 (1991).
13.
ClappT. G.PengH., Buckling of Woven Fabrics, Part I: Effect of Fabric Weight, Textile Res. J.60 (4), 228–234 (1990).
14.
ConstantinidesA., “Applied Numerical Methods with Personal Computers,”McGraw-Hill, NY, 1987, p. 413.
15.
CooperD. N. E., The Stiffness of Woven Textiles, J. Textile Inst.51 (7), 317–335 (1960).
16.
EischenJ. W.KimY. G., Optimization of Fabric Manipulation during Pick/Place Operations, Int. J. Clothing Sci. Technol.5 (3/4), 68–76 (1993).
17.
GhoshT. K., Computational Model of the Bending Behavior of Plain Woven Fabrics, Doctoral thesis, North Carolina State University, Raleigh, NC, 1987.
18.
GrafJ. E.EnrightS. T.ShapiroS. I., Automated Web Inspection Ensures Highest Quality Nonwovens, Tappi J.78 (9), 135–138 (1995).
19.
KonopasekM., in “Mechanics of Flexible Fibre Assemblies,”HearleJ. W. S.AmirbayatJ., Eds., Sijthoff & Noordhoff, The Netherlands, 1980, p. 292.
20.
McDevittT. W., Flexible Fabric Mechanics Analysis Using Large Deflection Beam Theory, Master's thesis, North Carolina State University, Raleigh, NC, 1993.
21.
PanaruskyM., On-Line Measurement of Fabric Stiffness, Master's thesis, North Carolina State University, Raleigh, NC, 1992.
22.
StyliosG., “Textile Objective Measurement and Automation in Garment Manufacture,”Ellis Horwood, England, 1991.
23.
ThomasR. K., You Need Online and Offline Testing for Top Yarn Quality, Textile World143 (1), 50–51 (1993).
24.
WinnL. J.SchwarzE. R., Technical Evaluation of Textile Finishing Treatments, Textile Res. J.10 (1), 5–16 (1939).
25.
ZhouN., On-Line Measurement of Fabric Bending Behavior, Doctoral thesis, North Carolina State University, Raleigh, NC, 1996.