The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform

A.k.m. Mobarok Hossain - One of the best experts on this subject based on the ideXlab platform.

  • Precision Prediction of Knitted Fabric Loop Length Through Online Monitoring of Yarn Input Tension and Course Length-A Mathematical Approach for Circular Weft Knitting With Positive Storage Feeding
    European scientific journal, 2017
    Co-Authors: A.k.m. Mobarok Hossain
    Abstract:

    A model in the form of an equation has been developed based on the mechanical consideration of yarn during dynamic circular Weft Knitting Process that runs with positive storage feed system. The predicted course length through this model has been compared with that found from actual fabric by a recognized apparatus, i.e. HATRA Course Length Tester. The ttest was carried out over the obtained results for statistical analysis purpose. It was observed that for spun polyester knitted fabric, as used in the experimental part, the model worked very effectively through precision prediction by showing very low average mean difference in predicted course length from that measured from the actual fabric. The t-values and corresponding p-values proved the difference between the predicted and actual results statistically significant and thus opened the scope for further investigation and calibration.

A. R. Moghassem - One of the best experts on this subject based on the ideXlab platform.

  • Spinning preparation parameters selection for rotor spun knitted fabric using VIKOR method of multicriteria decision-making
    Journal of The Textile Institute, 2020
    Co-Authors: Alireza Fallahpour, A. R. Moghassem
    Abstract:

    Selection of spinning preparation parameters which affects properties of the final yarn and subsequent Process is a multicriteria decision-making problem. Different statistical methods and multicriteria approaches have been used to solve such kind of problems. This paper presents a new multicriteria decision-making technique to select the suitable drawing frame parameters for 30Ne rotor spun yarn intended to be used for Weft Knitting Process. Three important variables in drawing frame including distance between back and middle rolls, delivery speed, and break draft were considered. Their performances were evaluated on the basis of seven quality parameters of the 48 rotor spun yarns using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. The final ranking of the parameters was elicited in accordance with this procedure. Consequently, the stability of the proposed final ranking was verified after sensitivity analysis.

  • Employment of PROMETHEE approach for selecting suitable yarn for Weft Knitting Process considering drawing frame variables
    Fibers and Polymers, 2014
    Co-Authors: P. Valipour, A. R. Moghassem
    Abstract:

    The improvement of yarn properties is an obligatory but a difficult task to get a quality product and to enhance efficiency of production Processes. For this purpose it is necessary to create a close compatibility between yarn characteristics and subsequent Processes requirements. A survey of the literature will reveal that, there are various researches in which statistical approaches have been employed to introduce appropriate yarn quality parameters in accordance with the requirements of next Processes. But, mentioned analysis is a multi-criteria decision making where the differences between the values of the yarn parameters and preferences of the producer about yarn characteristics to get a product with defined properties should be considered. However, this goal can not be achieved by using statistical methods. Therefore, this paper makes an attempt to apply preference ranking organization method for enrichment evaluations (PROMETHEE) for the first time in the field of textile science in selecting suitable drawing frame variables for 30 Ne rotor spun yarn intended to be used for Weft Knitting Process. The performances of three variables in a drawing frame were evaluated based on seven quality parameters of forty eight rotor spun yarns using this algorithm. Final ranking was elicited in accordance with PROMETHEE method. Consequently, sensitivity analysis was conducted to assess the stability of the proposed final ranking.

Hong Hu - One of the best experts on this subject based on the ideXlab platform.

P. Valipour - One of the best experts on this subject based on the ideXlab platform.

  • Employment of PROMETHEE approach for selecting suitable yarn for Weft Knitting Process considering drawing frame variables
    Fibers and Polymers, 2014
    Co-Authors: P. Valipour, A. R. Moghassem
    Abstract:

    The improvement of yarn properties is an obligatory but a difficult task to get a quality product and to enhance efficiency of production Processes. For this purpose it is necessary to create a close compatibility between yarn characteristics and subsequent Processes requirements. A survey of the literature will reveal that, there are various researches in which statistical approaches have been employed to introduce appropriate yarn quality parameters in accordance with the requirements of next Processes. But, mentioned analysis is a multi-criteria decision making where the differences between the values of the yarn parameters and preferences of the producer about yarn characteristics to get a product with defined properties should be considered. However, this goal can not be achieved by using statistical methods. Therefore, this paper makes an attempt to apply preference ranking organization method for enrichment evaluations (PROMETHEE) for the first time in the field of textile science in selecting suitable drawing frame variables for 30 Ne rotor spun yarn intended to be used for Weft Knitting Process. The performances of three variables in a drawing frame were evaluated based on seven quality parameters of forty eight rotor spun yarns using this algorithm. Final ranking was elicited in accordance with PROMETHEE method. Consequently, sensitivity analysis was conducted to assess the stability of the proposed final ranking.

P K Banerjee - One of the best experts on this subject based on the ideXlab platform.

  • mechanics of the single jersey Weft Knitting Process
    Textile Research Journal, 1990
    Co-Authors: S Ghosh, P K Banerjee
    Abstract:

    A study of the mechanics of the single jersey Weft Knitting Process is initiated with experiments designed on two different small diameter, circular bed machines. The results highlight the role of the dynamic geometry of the Knitting zone and the dynamic equilibrium of forces on the needle hook, as well as the importance of cast-off loops hanging around the yam, pulled in by needles inside Knitting zone, on the loop for mation Process.