Comparative analysis of drape characteristics of actually and virtually draped fabrics

The purpose of this paper is to compare real fabric drape images and virtual fabric drape images created by a commercial software. To achieve an in-depth comparison, actual and virtual drape shape properties were considered under three categories: drape area, number of nodes and shape of folds. The results of this research are expected to be useful to improve the reality and accuracy of fabric and garment.,Five different fabrics were selected for this study. Fabrics’ mechanical properties were tested by fabric assurance for simple testing method, while drape properties were measured by a Cusick drape meter. A commercial garment simulation was used to generate virtual fabric drapes. Real fabric drape images and virtual fabric drape images were analyzed by an image analysis software and results were used to calculate drape properties. Regression analysis was performed to compare real fabric drape and virtual fabric drape properties.,Differences between real fabric drape and virtual fabric drape were stated clearly. Simulation software was found to be insufficient to reflect drape area. However, simulations were quite successful corresponding to the number of nodes. Only one simulation had +2 nodes than its actual counterpart. This study showed that area and node shape representations of simulation software should be improved while node numbers are sufficiently represented.,There are alternative 3D garment simulation software available to the fashion business. All these companies are working on to improve their simulation reality and accuracy. Some of them are also offering various equipment to measure the fabric properties. In this study, Optitex 3D Suite was selected as the simulation software due to several reasons as explained in this paper. However, other simulation programs might also be employed to perform virtual fabric drapes. Furthermore, in this study, the drape images of five woven fabrics were compared. The fabric selection was done according to a pre-test and consequently similar fabrics were determined to be the subject of the study. However, the more the number of the fabrics, the better the comparison and eventually the better the assessment of simulation success. Therefore, it is prospected to test more fabrics with versatile fabric properties for further studies.,Drape shape was observed from three perspectives: drape area, node numbers, and node shapes. Dealing the problem from these perspectives provided an in-depth comparison of real and virtual drapes. In this study, standard deviation of peak angles was used to explain node distribution that is new to the literature to the authors’ knowledge.

[1]  B. K. Behera,et al.  Measurement and modeling of drape using digital image processing , 2008 .

[2]  Fatma Kalaoglu,et al.  Evaluation of a Garment Fit Model Using AHP , 2015 .

[3]  Phoebe R. Apeagyei,et al.  Integrating 3D Scanning Data & Textile Parameters into Virtual Clothing , 2011 .

[4]  Karen L. LaBat,et al.  An exploratory study of users’ evaluations of the accuracy and fidelity of a three-dimensional garment simulation , 2013 .

[5]  J. W. Eischen,et al.  Enhancing accuracy of drape simulation. Part II: Optimized drape simulation using industry-specific software , 2008 .

[6]  G. E. Cusick.  21—THE MEASUREMENT OF FABRIC DRAPE , 1968 .

[7]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[8]  Huiju Park,et al.  3D Virtual fit simulation technology: strengths and areas of improvement for increased industry adoption , 2017 .

[9]  Susan P. Ashdown,et al.  Investigation of the Validity of 3-D Virtual Fitting for Pants , 2015 .

[10]  Billie J. Collier,et al.  Prediction of Fabric End-use Using a Neural Network Technique , 2001 .

[11]  G. Fozzard,et al.  Towards the virtual garment: three‐dimensional computer environments for garment design , 1998 .

[12]  Simona Jevšnik,et al.  The advance engineering methods to plan the behaviour of fused panel , 2005 .

[13]  S. Jevšnik,et al.  Drape behaviour of seamed fabrics , 2007 .

[14]  G. Cusick.  46—THE DEPENDENCE OF FABRIC DRAPE ON BENDING AND SHEAR STIFFNESS , 1965 .

[15]  D. G. Phillips,et al.  A STUDY OF FABRIC-DRAPE BEHAVIOUR WITH IMAGE ANALYSIS. PART II : THE EFFECTS OF FABRIC STRUCTURE AND MECHANICAL PROPERTIES ON FABRIC DRAPE , 1998 .

[16]  Jinlian Hu.  A Review on the Study of Fabric Drape Part I --- Evaluation Methods and Empirical Study , 1997 .

[17]  Yl Kwok,et al.  An investigation on the validity of 3D clothing simulation for garment fit evaluation , 2011 .

[18]  Nick Clarke,et al.  3D CAD systems for the clothing industry , 2009 .

[19]  George K Stylios,et al.  The Characterisation of the Static and Dynamic Drape of Fabrics , 1997 .

[20]  Dean Robson,et al.  Drape Analysis using Imaging Techniques , 2000 .

[21]  Tom Cassidy,et al.  Fabric objective measurement and drape , 2015 .

[22]  J. W. Eischen,et al.  Enhancing accuracy of drape simulation. Part I: Investigation of drape variability via 3D scanning , 2008 .

[23]  Chauncey C. Chu,et al.  Mechanics of Elastic Performance of Textile Materials , 1950 .

[24]  George K Stylios,et al.  The concept of virtual measurement , 1999 .

[25]  Jinlian Hu,et al.  Effect of Fabric Mechanical Properties on Drape , 1998 .

[26]  Narahari Kenkare,et al.  Evaluation of drape characteristics in fabrics , 2005 .

[27]  Jess Power,et al.  Fabric objective measurements for commercial 3D virtual garment simulation , 2013 .

[28]  M. Platt,et al.  Investigation of the Factors Affecting the Drapeability of Fabrics , 1960 .

[29]  Z. A. Raza,et al.  Low-Formaldehyde Hydrophobic Cum Crease Resistant Finishing of Woven Silk Fabric , 2015 .

[30]  Lieven Vangheluwe,et al.  Time Dependence of the Drape Coefficient of Fabrics , 1993 .

[31]  Kristina Ancutienė,et al.  The Influence of Textile Materials Mechanical Properties upon Virtual Garment Fit , 2011 .

[32]  F. T. P. B.Sc..  26—THE “HANDLE” OF CLOTH AS A MEASURABLE QUANTITY , 1930 .