Modal–Cotton Fibre Blend Ratio and Ring Frame Parameter Optimisation Through the Taguchi Method

Maheswaran, R.; Srinivasan, Vijay

doi:10.1515/aut-2018-0036

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Conversely, a high break draft level introduces a drafting wave within the fiber strand due to insufficient fiber support in the back zone resulting from the absence of aprons 57 . A low break draft level, while lacking stabilization and preparation of fibers before entering the main draft zone, also has implications for unevenness 58 . In Figure 3b, the influence of break draft on imperfection index is comparatively subdued.…”

Section: Resultsmentioning

confidence: 99%

Tuning Drafting Zone Parameters for Polyester Yarn within a Ring Spinning System: Modeling and Optimization

Savadroodbari,

Razbin,

Hasani

et al. 2023

Preprint

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Most textile products incorporate yarn as a fundamental element in the production process. Among various yarn manufacturing methods, the ring spinning system stands out as a crucially employed technology due to its advantages including yarn quality, evenness, low hairiness, and ease of handling. The parameters of drafting zone in this technology have a great impact on the quality of yarns. Typically, tuning this drafting zone parameters is time-consuming and costly through trial and error method. This study introduces an algorithmic procedure based on response surface methodology (RSM), experimental modeling, and multi-objective optimization to reduce unevenness percentage (U%) and imperfection index (IPI). Input parameters, including cots hardness of front and back top rollers, spacer size, and break draft, are optimized. Results indicate superior prediction performance of the artificial neural network (ANN) (average vaule of TGF = 1.9996) compared to RSM (average value of TGF = 1.8668). Consequently, ANN is selected for optimization. Furthermore, coupling the genetic algorithm with two ANN-based models reduced IPI from 39 to 33.67 and a reduction from 9.73–9.67% occurred in terms of U%. The final setting of Input parameters were cots hardness of front roller of 70 shore and cots hardness of back roller of 76 shore, spacer size 2.8 mm, and break draft of 1.26. This method efficiently optimizes the drafting zone parameter, enhancing yarn quality.

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Section: Resultsmentioning

confidence: 99%

Tuning Drafting Zone Parameters for Polyester Yarn within a Ring Spinning System: Modeling and Optimization

Savadroodbari,

Razbin,

Hasani

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Because weakened areas of the yarn tend to grow more commonly with variation, this may reduce the yarn's strength. Softer rollers are better for the fibres since they preserve the fibres' natural strength, but they also allow for more erratic drafting, which weakens the yarn [44]. The strength of combed yarn is increased by adjusting the rollers to a middle hardness [6].…”

Section: Tenacitymentioning

confidence: 99%

Prioritising Yarn Quality Via Varying Top Roller Hardness: A Fuzzy Application

Raian,

Hossen,

Saha

et al. 2024

Text Leather Rev

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In recent years, the spinning or yarn manufacturing sector has seen remarkable technological advancements, emphasizing high-quality yarn production, especially for cotton combed ring spun yarns. In the case of better quality ring spun combed yarn, each part of the ring frame is significant. To fulfil this issue, this study focuses on understanding the impact of the drafting roller hardness on cotton-combed ring-spun yarn quality. It delves into how ten top and bottom roller hardness combinations influence yarn quality parameters. The cotton combed yarns underwent rigorous testing after spinning on ring frames with varying drafting roller hardness. Key quality parameters studied included yarn Imperfection Index (IPI), Unevenness (Ue%), Hairiness (Hi), Elongation at break (Eb%), and Count Strength Product (CSP), and Tenacity (Te). The primary insight was that extreme roller hardness adversely affects all parameters except Elongation at the break value obtained for the shore hardness value of 80/83. Yarns produced using medium-hardness rollers showcased fewer imperfections due to more consistent fibre flow and minimized drafting slippages, resulting in an even twist. These findings are pivotal for the yarn manufacturing industry, hinting at potential refinements in production methods. The usage of the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) methodology also determined that Te CSP) and IPI values significantly influence the combed yarn quality when adjusting roller hardness, whereas Hi is the least influential. Therefore, this study offers twofold insights: determining the optimal roller hardness and identifying the most affected quality parameters.

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“…Modal yarn and cotton-modal blended yarn can be used to manufacture knitted fabric with desirable characteristics for various applications such as sports and casual, bed linen, and inner wears that shrinks less, softer to touch and more absorbent than fabric made from 100% cotton [7]. Comparison of quality characteristics of yarn and knitted fabrics made from 100% modal yarn and 100% cotton yarn are reported on several works [8]. But little work is found with regard to cotton-modal blended yarn and fabric.…”

Section: Introductionmentioning

confidence: 99%

Effect of Blend Ratio on Cotton-Modal Fibre Blended Ring- Spun Yarn Quality with Varying Modal Fibre Percentage

Saha¹,

Hossen²,

Anm³

2020

J Textile Sci Eng

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Fibre blend ratio is an important factor that determines the properties of spun yarn. Modal is a regenerated man-made fibre and free from short fibres, neps, and impurities. In this paper, the influence of modal fibre in cotton-modal fibre blend ratio on the blended yarn properties has been studied. Cotton-modal blended yarn with blend ratio of 80:20, 70:30 and 50:50 and 100% cotton yarn of 30 Ne were produced in ring spinning frame. The properties of fibres, slivers, rovings and manufactured yarns were tested by using the Uster HVI, Wrap reel, Wrap block, Uster Evenness tester-5 and Lea strength tester. The experimental results show that the yarn quality parameters such as Um%, CVm%, thick places, thin places, neps, Imperfection Index and hairiness of 100% cotton are higher than cotton-modal blended yarns. With the increase of modal fibre percentage, the quality of blended yarns has been improved than 100% cotton yarn. In regards to the CSP value, the cotton-modal blended yarns show an increasing trend with increasing modal fibre percentage in the blend ratio. It can be attributed that the absence of short fibres in modal fibre which phenomena contributes to the yarn properties with increasing the modal fibre percentage.

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Modal–Cotton Fibre Blend Ratio and Ring Frame Parameter Optimisation Through the Taguchi Method

Cited by 5 publications

References 9 publications

Tuning Drafting Zone Parameters for Polyester Yarn within a Ring Spinning System: Modeling and Optimization

Tuning Drafting Zone Parameters for Polyester Yarn within a Ring Spinning System: Modeling and Optimization

Prioritising Yarn Quality Via Varying Top Roller Hardness: A Fuzzy Application

Effect of Blend Ratio on Cotton-Modal Fibre Blended Ring- Spun Yarn Quality with Varying Modal Fibre Percentage

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