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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.

True 3‐D garment design (CAD) systems are fundamental for the next generation of intelligent textile and garment manufacture and retailing. Reports a new approach for modelling fabric. The fabric model is developed based on a physical analogue to a deep shell system for describing and predicting the real 3‐D shape of clothes. The fabric motion is determined by deformation energy, gravity and external constraints, such as collision forces, using the deformable node bar concept. The advantages of this model are that engineering parameters can be used as model parameters directly and that the model is configured based on the surface co‐ordinate system, which is believed to be important as the basis of a powerful fashion CAD system. The model successfully simulated fabric drape and has been implemented on a synthetic female model.

Drape is a characteristic behaviour of flexible cloth, so it is important in modelling cloth. The paper introduces a novel method to model drape using a few shape parameters, predicted according to the pattern structure and mechanical properties of cloth. The technique is used to visualize the 3‐D drapeability of cloth and is then extended to simulation of a skirt. The general shape of a flared skirt of large deformation is predicted based on several shape parameters. Moreover, the constructed skirt model is used as pre‐draped initial shape for the popular physically‐based model – particle system. Kawabata Evaluation System (KES) plots of cloth are applied for accurate mechanical calculation. The simulated results show good agreement with actual cloth materials.

Garment is generally a 3D object made of 2D fabric. So, it is necessary to predict the garment drape shape when designing fabric patterns. There are several methods to simulate fabric drape, but the calculation times are long for practical use. The bottleneck of the drape simulation is the collision detection between fabric and human body and self contact detection of the fabric itself. We assumed that the fabric collision occurs only locally to reduce the number of possible collisions. We made the fabric patterns into finite elements and each element was given a local area number so that only elements within certain area can contact with other ones.

Uses Newmark’s method to carry out a time‐stepping finite element analysis to predict the behaviour of a cloth garment as it falls from an initial horizontal position to a final position draped around a human body form. Bases the finite element model on a simple beam element, in order to minimize the computational time. Accounts for large displacement behaviour by including the element geometric stiffness. Bases the body form on anthropomorphic data produced by a shadow scanner. Enlists a novel scheme to model the contact between the cloth and the underlying body form. Uses the finite element model to provide data for an animated display and finds that it produces sufficiently realistic results for the garment designer’s purposes.

Reports the dynamic modelling of garments on synthetic humans. Develops the model based on a physical analogue to a deep shell system for describing and predicting the real 3‐D shape of clothes. Determines the garment motion by fabric deformation energy, gravity and external constraints of the garment, such as collision forces, using the deformable node bar concept. Justifies the model by agreement between real fabric prediction of static and dynamic drapes using our newly developed drape metre. Demonstrates the garment simulation using garments from two different fabrics in a virtual fashion show. Also describes the work on modelling and animating a synthetic female. The advantages of this model are that engineering parameters can be used as model parameters directly and that the model is configured based on the surface co‐ordinate system, which are important for the next generation of fashion CAD systems incorporating virtual fashion shows. This consideration is fundamental in the context of global retailing and becomes an integral part of intelligent textile and garment manufacture. Proposes the consequences of this work in cinema, TV, advertising and in graphics and animation are also important, but does not examine these.

Most of the cloth simulation and modelling techniques rely on the energy function of the system. The geometric deformation is related to the energy function by the fabric material characteristics, which are usually difficult to measure directly. This paper discusses how the fabric material properties are related to the measurable mechanical properties of the fabric such as tensile modulus, Poisson's ratio etc. These properties are incorporated into a cloth simulator to produce draping results. The simulated image and real object are then compared to show the realism.

In order to present a significant usage of the computer-aided design (CAD)/computer-aided manufacturing (CAM) systems in the apparel and textile industry, the current literature has been observed. Although the CAD/CAM systems have also been increasingly applied to all fields apparel and textile manufacturing for the last few decades, improving the precision, productivity and the organization of the information flow, they have not been fully utilized in these industrial fields. The paper aims to discuss these issues.

The paper is structured in three main sections showing the vast applicability of the CAD/CAM systems, the benefits provided by them and the future trend in their development.

Although the initial development of the CAD/CAM systems strived to completely eliminate manual and time-consuming operations, they have not been accepted in practice due to their inflexibility at making changes and the time needed for regenerating a complex parametric model. The textile and apparel industries show slow progress in acquiring the CAD/CAM systems.

This CAD/CAM technology enabled the customization in the design process according to individual needs and directed the textile and the apparel industry to moving into new directions such as the mass customization to personalization. The paper makes clear that although this technological concept is rather old, the use of the CAD/CAM systems will inevitably broaden in terms of applicability to new production stages.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

The purpose of this paper is to conduct a survey on research in fabric and cloth simulation using mass spring model. Also in this paper some of the common methods in process of fabric simulation in mass spring model are discussed and compared.

This paper reviews and compares presented mesh types in mass spring model, forces applied on model, super elastic effect and ways to settle the super elasticity problem, numerical integration methods for solving equations, collision detection and its response. Some of common methods in fabric simulation are compared to each other. And by using examples of fabric simulation, advantages and limitations of each technique are mentioned.

Mass spring method is a fast and flexible technique with high ability to simulate fabric behavior in real time with different environmental conditions. Mass spring model has more accuracy than geometrical models and also it is faster than other physical modeling.

In the edge of digital, fabric simulation technology has been considered into many fields. 3D fabric simulation is complex and its implementation requires knowledge in different fields such as textile engineering, computer engineering and mechanical engineering. Several methods have been presented for fabric simulation such as physical and geometrical models. Mass spring model, the typical physically based method, is one of the methods for fabric simulation which widely considered by researchers.