Search

Your search keyword '"Vajiha Mozafary"' showing total 2 results
Start Over Author "Vajiha Mozafary" Search Limiters Available in Library Collection
2 results on '"Vajiha Mozafary"'

1. Non-linear simulation of drying of plain knitted fabric using mass-spring-damper model and genetic algorithm optimization

Author

Vajiha Mozafary, Pedram Payvandy, and Mohammad Jalili

Subjects
Technology
Abstract

In this study, the longitudinal shrinkage behavior of knitted fabrics during drying has been studied. In this context, a model is presented to predict the longitudinal shrinkage of plain knitted fabric during drying process. In order to model the shrinkage behavior, a 1DOF model consists of a mass, a linear spring and a linear damper have been used. In presented model the time-varying mass is considered due to fabric drying process. Nonlinear Equation of motion derived from the model have been solved using Three-order Straight Forward Expansion method. The results of the model were compared with the experimental results for five samples with different courses densities. The results shown that in high courses densities the presented model is capable enough to predict the longitudinal shrinkage of plain knitted fabric mass center during drying process. Error rate is 11.3 percent for the samples with high density. But with decrease in density, the error rate increases to 18 percent. Then the genetic algorithm is used to optimize the model. Using optimized model the simulated error rate fell into 5.7 percent for samples with high density and the rate fell to 6.1 percent with decrease in density.

Published
2014

2. Definition of Mass Spring Parameters for Knitted Fabric Simulation Using the Imperialist Competitive Algorithm

Author

Pedram Payvandy and Vajiha Mozafary

Subjects
Mass spring, 010407 polymers, Engineering, business.industry, Materials Science (miscellaneous), Imperialist competitive algorithm, 020207 software engineering, 02 engineering and technology, 01 natural sciences, Industrial and Manufacturing Engineering, 0104 chemical sciences, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, Business and International Management, business, General Environmental Science
Abstract

The 3D simulation of fabrics is an interesting issue in many fields, such as computer engineering, textile engineering, cloth design and so on. Several methods have been presented for fabric simulation. The mass spring model, a typical physically-based method, is one of the methods for fabric simulation which is widely considered by researchers due to rapid simulation and being more consistent with reality. The aim of this paper is the optimization of mass spring parameters in the simulation of the drape behaviour of knitted fabric using the Imperialist Competitive Algorithm. First a mass spring model is proposed to simulate the drape behavior of knitted fabric. Then in order to reduce the error value between the simulated and actual result (reducing the simulation error value), parameters of the mass spring model such as the stiffness coefficient, damping coefficient, elongation rate, topology and natural length of the spring are optimized using the Imperialist Competitive Algorithm (ICA). The ICA parameters are specified using the Taguchi Design of Experiment. Finally fabrics drape shapes are simulated in other situations and compared with their actual results to validate the model parameters. Results show that the optimized model is able to predict the drape behavior of knitted fabric with an error value of 2.4 percent.

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results