Mass spring parameters identification for knitted fabric simulation based on FAST testing and particle swarm optimization

Mozafary, Vajiha; Payvandy, Pedram

doi:10.1007/s12221-016-6567-8

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…The solution often is to recur to surrogate-based optimization models [ 24 ] and single or multiobjective-optimization [ 25 ] non-traditional methods to optimize different parameters in both kinematic and mechanical draping simulations. In work developed by Mozafary and Payvandy [ 26 ], the aim was to characterize parameters of a mass-spring model using PSO and FAST test, where the variables are mainly the natural length of spring, the super elasticity rate and the mesh topology. For these applications, the Taguchi method is used to assist their comprehension [ 27 ].…”

Section: Review Of the Literaturementioning

confidence: 99%

Kinematic draping simulation optimization of a composite B-pillar geometry using particle swarm optimization

Fitas¹,

Hesseler²,

Wist³

et al. 2022

Heliyon

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Section: Review Of the Literaturementioning

confidence: 99%

Kinematic draping simulation optimization of a composite B-pillar geometry using particle swarm optimization

Fitas¹,

Hesseler²,

Wist³

et al. 2022

Heliyon

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“…The way the springs are connecting the particles (the topology of the object) and the differences in strength of each spring influence the behavior of the object as a whole. The different type of mesh topologies has been presented with respect to the connection between the mass and springs [15]. These are rectangular mesh that was first proposed in 1995 by Provot [16], Figure 2(a), responsive mesh was described by Choi and Ko [17], …”

Section: Computer Simulation 70mentioning

confidence: 99%

Textile Forms’ Computer Simulation Techniques

Rudolf¹,

Bogović²,

Car³

et al. 2017

Computer Simulation

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Computer simulation techniques of textile forms already represent an important tool for textile and garment designers, since they offer numerous advantages, such as quick and simple introduction of changes while developing a model in comparison with conventional techniques. Therefore, the modeling and simulation of textile forms will always be an important issue and challenge for the researchers, since close-to-reality models are essential for understanding the performance and behavior of textile materials. This chapter deals with computer simulation of different textile forms. In the introductory part, it reviews the development of complex modeling and simulation techniques related to different textile forms. The main part of the chapter focuses on study of the fabric and fused panel drape by using the finite element method and on development of some representative textile forms, above all, on functional and protective clothing for persons who are sitting during performing different activities. Computer simulation techniques and scanned 3D body models in a sitting posture are used for this purpose. Engineering approaches to textile forms' design for particular purposes, presented in this chapter, show benefits and limitations of specific 3D body scanning and computer simulation techniques and outline the future research challenges.

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“…Parameters values of other model are chosen according to the presented explanation in Mozafary and Payvandy (2016a). Spring stiffness and damping coefficient of fabric samples are determined based on Fast test that is in accordance with a procedure used in Mozafary and Payvandy (2016b) which is illustrated in Table IV.…”

Section: Simulation Implementationmentioning

confidence: 99%

A novel technique for modeling friction behavior in knitted fabric simulation

Mozafary

Payvandy

2017

IJCST

Self Cite

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Purpose Fabric-object friction force is a fundamental factor in cloth simulation. A large number of parameters influence the frictional properties of fabrics such as fabric structure, yarn structure, and inherent properties of component fibers. The purpose of this paper is to propose a novel technique for modeling fabric-object friction force in knitted fabric simulation based on the mass spring model. Design/methodology/approach In this technique, unlike other studies, distribution of friction coefficient over the fabric surface is not uniform and depends on the fabric structure. The main reason for considering non-uniform distribution is that in various segments of fabric, contact percent of fabric-object is different. Findings The proposed technique and common methods based on friction coefficient uniform distribution are used to simulate the frictional behavior of knitted fabrics. The results show that simulation error values for proposed technique and common methods are 2.7 and 9.4 percent as compared with the experimental result, respectively. Originality/value In the existing methods of the friction force modeling, the friction coefficient of fabric is assumed uniform. But this assumption is not correct because fabric does not have an isotropic structure. Thus in this study, the friction coefficient distribution is considered based on fabric structure to achieve more of realistic simulations.

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Mass spring parameters identification for knitted fabric simulation based on FAST testing and particle swarm optimization

Cited by 9 publications

References 20 publications

Kinematic draping simulation optimization of a composite B-pillar geometry using particle swarm optimization

Kinematic draping simulation optimization of a composite B-pillar geometry using particle swarm optimization

Textile Forms’ Computer Simulation Techniques

A novel technique for modeling friction behavior in knitted fabric simulation

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