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1Development and New Technology Group, The Arvind Mills Ltd, Ahmedabad-380025, India. Phone: 09824360495, Fax: +91-79-22202569, E-mail: akshay_sardana@yahoo.com
2Department of Textile Technology, Indian Institute of Technology, New Delhi- 110 016, India. Phone: +91-11-26591410, Fax: +91-11-26561622, E-mail: ishtiaque54@hotmail.com
3Department of Textile Technology, Indian Institute of Technology, New Delhi- 110 016, India. Phone: +91-11-26961706, Fax: +91-11-26561622, E-mail: kr_salhotra@hotmail.com
The effect of lap hank, card draft, draft/doublings and drafts at speed frame, ring frame, rotor and air-jet on packing density parameters were analysed using the Taguchi method. The trends of change in packing density with process variables are opposite to those of the yarn diameter and helix angle of the ring, rotor and air-jet yarns studied. The packing density is found to be the highest in air-jet yarn and the lowest in rotor yarn. An increase in draft in the air-jet and a decrease in the rotor spinner increases the packing density of the respective yarns.
Anova, air-jet yarn, card draft, draft/doublings, packing density, yarn diameter, regression model, ring yarn, rotor yarn, Taguchi method, viscose yarn
The study of packing fibres in a yarn cross-section was started by Schwarz (1934). Hamilton (1959) suggested a direct method of measuring yarn diameters and bulk densities under conditions of thread flattening. He showed how the denier and the major & minor diameters vary with twist. Later on, Hearle et al. [1] gave some formulae to calculate specific volume of yarn based on yarn twist, twist angle and yarn linear density. The formula given by Hearle et al. is only valid in the case of an idealised ring yarn structure, and is not applicable for other structures of yarns manufactured on different spinning technologies, such as rotor, air-jet techniques etc. In this regard, Ishtiaque [2] derived a formula to calculate the packing density of the yarn. This formula is applicable for the yarns manufactured on different technologies. This formula is based on the actual values of yarn diameter, helix twist and number of fibres in the yarn cross-section, as obtained by the study of fibre migration behaviour.
In this paper, the effect of change in the preparatory process variables on helix angle, helix twist, yarn diameter and packing density of ring, rotor and air-jet yarns was studied. The Taguchi method and the Anova technique are used to analyse the effect of process variables. The regression models were also fitted to quantify the effect of speed frame, ring frame, rotor and air-jet draft on the parameters mentioned above.
Viscose rayon staple fibre (44 mm, 1.67 dtex) was processed on an L R blow room line & a Texmaco Howa card, and given two passages on an L R DO/6 draw frame (breaker and finisher). The samples were prepared according to the L8 mixed orthogonal array as shown in Table 1. The design variable array shows that the two levels of lap hank, four levels of card draft and two sets of draft/doublings at the breaker and finisher drawframe were selected. The factor levels at various stages were chosen on the basis of certain practical considerations. The prepared finisher sliver samples of eight different linear densities were processed into two different types of rovings, and 24s Ne rotor and air-jet yarns. The direction of the sliver fed to the air-jet machine was reversed for feeding the majority of hooks as trailing. The established trend in spinning preparatory for air-jet spinning is to use three passages of drawframe before yarn preparation, so as to feed the majority of hooks in the trailing direction. In the present research work, only two drawframe passages were used to produce equivalent ring and rotor yarns. For roving-type I, the draft at speed frame was kept constant in all the samples; while for roving-type II, the draft at speed frame was changed in such a way so as to produce the same roving hank for all the eight samples. These rovings were processed into two types of ring yarns, types I and II, in such a way so as to produce 24s Ne yarn. The effect of uncontrollable variables, such as spindle to spindle variation and doff position, was duly taken into consideration.
Table 1. Sample preparation plan
| Design Variable Array | Experimental Result Matrix | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Run | Lap hank (Ne) | Card draft | Draft/ doublings at drawframe (breaker and finisher) | S/ F draft Type I | S/ F draft Type II | R/ F draft Type I | R/ F draft Type II | Rotor draft | Air-jet draft | Noise variable array | ||||
| A | 1 | 2 | 2 | 1 | ||||||||||
| B | 1 | 2 | 1 | 2 | ||||||||||
| C | 1 | 1 | 2 | 2 | ||||||||||
| 1 | 0.00122 | 88 | 6/6 | 8.4 | 11.4 | 26.7 | 19.7 | 225.4 | 225.4 | R11 | R12 | R13 | R41 | |
| 2 | 0.00144 | 88 | 8/8 | 8.4 | 9.7 | 22.7 | 19.7 | 191.0 | 191.0 | R21 | R22 | R23 | R42 | |
| 3 | 0.00122 | 101 | 6/6 | 8.4 | 10.0 | 23.3 | 19.7 | 196.4 | 196.4 | R31 | R32 | R33 | R43 | |
| 4 | 0.00144 | 101 | 8/8 | 8.4 | 8.4 | 19.7 | 19.7 | 166.4 | 166.4 | R41 | R42 | R43 | R44 | |
| 5 | 0.00122 | 114 | 8/8 | 8.4 | 8.8 | 20.6 | 19.7 | 174.0 | 174.0 | R51 | R52 | R53 | R53 | |
| 6 | 0.00144 | 114 | 6/6 | 8.4 | 7.5 | 17.5 | 19.7 | 147.4 | 147.4 | R61 | R62 | R63 | R63 | |
| 7 | 0.00122 | 127 | 8/8 | 8.4 | 7.9 | 18.5 | 19.7 | 156.2 | 156.2 | R71 | R72 | R73 | R73 | |
| 8 | 0.00144 | 127 | 6/6 | 8.4 | 6.7 | 15.7 | 19.7 | 132.3 | 132.3 | R81 | R82 | R83 | R83 | |
| where: S/F = speed frame, R/F = ring frame, and in Noise variable array A = doff position (1= top, 2= bottom), B = spindle position (1= spindle no. 1 and 2 ,and 2= spindle no. 3 and 4), and C = material conditioning in testing laboratory; 1 = unconditioned; 2 = conditioned | ||||||||||||||
The parameters needed to calculate packing density, such ashelix angle, helix twist, yarn diameters, were measured by using the classical tracer fibre technique [3]. Tracer fibres of red and green colour, each 0.03% by weight, were mixed with parent grey viscose fibres while laying the stack. The configuration of tracer fibre was studied at 100× under a projection microscope. Benzyl alcohol was used to optically dissolve the grey fibres in the yarn. Four different replications for fibre orientation parameters were measured at the yarn stage, in order to take the effect of uncontrollable factors (noise) into account. The packing density in the yarns was further calculated from the values of these parameters using Ishtiaque’s formula as given below. The schematic view of a tracer fibre seen under the projection microscope for the study of yarn structure is given in Figure 1, where D = 2R = yarn diameter (in mm); d = 2r = helix diameter (in mm); θ = helix angle (in degrees) = tan-1 (π d Z / 25.4); Z = number of turns of twist in the fibre helix per mm; n = actual number of fibres in the yarn cross-section, obtained by multiplying the theoretical number of fibres in 24s Ne yarn by the cosine of the helix angle (θ); The theoretical number of fibres in the yarn cross section = 148, calculated by {5315 / (yarn count (Ne) x fibre denier)}.F’ the cross-sectional area of the viscose fibre used (mm2) = 1.0964 x
. Finally, the formula used for calculating the packing density from the above defined parameters is as follows:
2
2
Packing density of yarn = µ= 2πnFZ /(
1+ (πDZ) −1)
Figure 1. Schematic view of a tracer fibre seen under projection microscope
A total of 100 tracer fibres per sample (25 tracer fibres per replication and a total of 4 replications per sample) were studied to calculate the packing density parameters in ring, rotor and air-jet yarns.
Analysis of the response depends upon whether a smaller or larger response value is desired. The helix angle and yarn diameter were classified under the response type of ‘smaller is better’, because the smaller are the values of these parameters, the higher the packing density of the yarn will be. The helix twist was classified under the response type of ‘larger is better’, because higher values of these parameters are required to obtain a higher packing density for the yarn. The packing density itself was classified under the response type of ‘larger is better’ because a higher packing density value contributes positively toward yarn tenacity. The formulae used for the calculation of the S/N ratio for the above response types are given below.
n
2
1. for ‘smaller is better’ S / N =−10.log10 .(1/ n∑ yi ) ;
i=1
where: yi = the ith value of the result, and n = the number of replications;
n
2
2. for ‘larger is better’ S / N =−10.log10 .(1/ n∑1/ yi ) ;
i=1 The actual values of S/N ratio maximum were also evaluated directly from the curves of the S/N ratio with a change in the process variable by using the equation:
S / N max = S / N + (S / NAmax− S / N) + (S / NB max− S / N) + (S / NC max− S / N)
where: S/ N max = the maximum actual value from the graph,
S /N = the overall average value of the S/N ratio,
S / NAmax = the maximum value of the S/N ratio in the plot of the lap hank,
S / NB max = the maximum value of the S/N ratio in the plot of the card draft,
S / NC max = the maximum value of the S/N ratio in the plot of draft/doublings.
The calculated value is statistically compared with the actual value of S/N ratio at a 95% confidence level for a significant difference between the two values. As previous researchers did [4], the rule followed was that if there was a significant difference in the two values, the experiment had to be repeated by maintaining the process variables at the optimum level observed from the graphs. Note that S/N ratios of the various parameters should be maximised to obtain the optimum set of process variables; that is, for reading the plot, the highest values of S/N ratio are looked up in order to determine the optimum value of the process variables in all the cases.
Tables 2 to 5 show the S/N ratios and mean values of parameters required for calculating the packing density in ring, rotor and air-jet yarns in eight different samples prepared. The overall percentage changes by process variables and the actual values of S/N ratios with 95% confidence limits (S/N L and S/N H) of the various migration parameters studied are also given in the respective tables. The average values of S/N ratios and mean values are given in the last row of respective tables. Since the highest calculated values of S/N ratio lie within the 95% confidence limits for actual response by the graphical method in all the cases, there was no need to do a confirmatory test. The coefficient of correlation ‘R’ (almost 1 in all cases) between the values of S/N ratios and the means of various parameters shows that the variation in means follow the variation in the S/N ratio.
Table 2. S/N ratios (‘smaller is better’) and mean values of helix angle in various yarn
| Ring yarn-type I | Ring yarn-type II | Rotor yarn | Air-jet yarn | |||||
|---|---|---|---|---|---|---|---|---|
| Run | S/N ratio | Mean | S/N ratio | Mean | S/N ratio | Mean | S/N ratio | Mean |
| 1 | -23.13 | 14.3 | -22.62 | 13.5 | -23.90 | 15.7 | -22.24 | 12.9 |
| 2 | -22.39 | 13.1 | -22.50 | 13.3 | -24.47 | 16.7 | -22.12 | 12.7 |
| 3 | -22.17 | 12.8 | -22.69 | 13.6 | -24.54 | 16.9 | -21.25 | 11.5 |
| 4 | -21.56 | 12.0 | -21.56 | 12.0 | -24.46 | 16.7 | -23.11 | 14.2 |
| 5 | -22.16 | 12.8 | -22.72 | 13.7 | -24.45 | 16.7 | -22.45 | 13.2 |
| 6 | -21.80 | 12.3 | -23.01 | 14.1 | -24.14 | 16.1 | -22.21 | 12.9 |
| 7 | -22.31 | 13.0 | -22.56 | 13.4 | -24.64 | 17.1 | -21.67 | 12.1 |
| 8 | -22.75 | 13.7 | -22.03 | 12.6 | -24.68 | 17.1 | -22.16 | 12.7 |
| % C | 6.8 | 19.7 | 5.1 | 18.1 | 3.2 | 8.9 | 8.0 | 23.3 |
| R | -1.000 | -1.000 | -0.999 | -0.999 | ||||
| S/N Actual | -21.5 | -21.8 | -24.1 | -21.2 | ||||
| S/N L | -22.4 | -23.2 | -24.8 | -23.4 | ||||
| S/NH | -20.7 | -20.5 | -23.3 | -19.1 | ||||
| AVG | 13.0 | 13.3 | 16.6 | 12.8 | ||||
Table 3. S/N ratios (‘larger is better’) and mean values of number of turns of twist in fibre helix in yarns
| Ring yarn-type I | Ring yarn-type II | Rotor yarn | Air-jet yarn | |||||
|---|---|---|---|---|---|---|---|---|
| Run | S/N ratio | Mean | S/N ratio | Mean | S/N ratio | Mean | S/N ratio | Mean |
| 1 | 23.68 | 15.30 | 23.27 | 14.66 | 25.62 | 19.15 | 25.01 | 17.82 |
| 2 | 23.24 | 14.56 | 23.27 | 14.60 | 25.84 | 19.69 | 23.37 | 14.86 |
| 3 | 23.05 | 14.21 | 23.53 | 15.04 | 25.70 | 19.31 | 23.24 | 14.60 |
| 4 | 23.18 | 14.45 | 23.18 | 14.45 | 25.44 | 18.73 | 24.52 | 17.04 |
| 5 | 23.75 | 15.42 | 23.64 | 15.23 | 25.71 | 19.32 | 24.27 | 16.40 |
| 6 | 23.55 | 15.10 | 23.68 | 15.40 | 25.57 | 19.11 | 23.76 | 15.54 |
| 7 | 23.56 | 15.17 | 23.29 | 14.62 | 25.66 | 19.30 | 24.00 | 15.87 |
| 8 | 23.54 | 15.11 | 22.92 | 14.00 | 25.65 | 19.31 | 23.91 | 16.26 |
| % C | 2.7 | 7.6 | ||||||