A Novel Theoretical Modeling for Predicting the Sound Absorption of Woven Fabrics Using Modification of Sound Wave Equation and Genetic Algorithm

Putra, Valentinus Galih Vidia; Irwan, .; Wijayono, Andrian; Mohamad, JulianyNingsih; Yusuf, Yusril

doi:10.2478/aut-2020-0060

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…It used this model to conduct real-time simulation analysis of the sound in the process of dyeing, printing and sewing of garments, and accurately reflected the sound pressure loss caused by friction between fibers and fabrics. Provide basis for garment manufacturing enterprises to improve product quality [6]. Xu Jie used differential evolution algorithm to solve the production cost optimization problem of enzyme-washing indigo dyed cotton denim, and used improved genetic algorithm to optimize the fabric selection [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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With the development of economic globalization, all walks of life are carrying out positive changes and innovation. As one of the important parts of the modern industry, the garment industry has also been greatly affected. If enterprises want to maximize their own value and social benefits, they must attach importance to the optimization research of their production management links. Indigo dyeing is a very special dyeing and finishing process, which not only has high added value, but also can improve the quality of products and make products more competitive. Therefore, in order to effectively improve the application effect of this technology, it is necessary to strengthen the relevant research and development work, and through continuous improvement and perfection, to meet the needs of the market. Interactive genetic algorithm has a wide application prospect in the field of computer vision with its powerful global search ability and fast computing speed. It plays a crucial role in the selection of various parameters in the image processing of indigo dyeing design. Based on this principle, this paper introduces it into the clothing printing and dyeing industry, realizes the optimization of dye and other process factors, and finally improves the dyeing and finishing processing efficiency. In this paper, the traditional dyeing process is compared with the dyeing process based on interactive genetic algorithm. The results show that the dyeing process based on interactive genetic algorithm improves the efficiency of 10.42%, effectively reduces manual operation and saves labor cost, and can dynamically adjust the best parameters according to the actual needs to adapt to different fabric characteristics and production requirements.

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Section: Introductionmentioning

confidence: 99%

Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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Acoustic behavior of three-dimensional woven fabrics and their composites: role of fiber type and weave architecture

Paul,

Ahirwar,

Behera

2023

The Journal of The Textile Institute

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A Semi-Empirical Model for Sound Absorption by Perforated Plate Covered Open Cell Foam and Improvements from Optimising the Perforated Plate Parameters

et al. 2022

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Composite structures can be designed with specific parameters for efficient sound absorption in specific frequency bands; however, determining the optimal parameters and topology to maximize sound absorption is a computationally challenging task. In this work, a semi-empirical model is constructed to predict the sound absorption performance of composite structures consisting of open-cell foam and perforated plates. The calculated results of the semi-empirical model are in good agreement with the experimental results carried out in the B and K tube impedance measurement system. The parameters such as perforation ratio, plate thickness, air gap, etc., of the composite structure within limited thickness were optimized by using a genetic algorithm (GA) to improve the sound absorption coefficient at a lower frequency band. The calculation and experimental results show that when the thickness is fixed, the peak sound absorption frequency can be reduced by 400 Hz; on the contrary, with the goal of broadening the sound absorption frequency band, the optimized composite structure can widen the sound absorption frequency band by 55.38%. The results of this work have potential engineering applications for the calculation of the sound absorption of porous materials and perforated plate composite structures and their optimal design, particularly when the total volume or total weight of the sound-absorbing material is strictly limited.

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A Novel Theoretical Modeling for Predicting the Sound Absorption of Woven Fabrics Using Modification of Sound Wave Equation and Genetic Algorithm

Cited by 3 publications

References 29 publications

Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm

Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm

Acoustic behavior of three-dimensional woven fabrics and their composites: role of fiber type and weave architecture

A Semi-Empirical Model for Sound Absorption by Perforated Plate Covered Open Cell Foam and Improvements from Optimising the Perforated Plate Parameters

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