Spindle Diameter Effects for Cotton Pickers

2017 ◽  
Vol 33 (3) ◽  
pp. 321-327 ◽  
Author(s):  
Kevin D. Baker ◽  
Chris D. Delhom ◽  
Sidney Edward Hughs

Abstract. There is concern that changes to the operating speed and size of spindles on cotton picker harvesters over the years have resulted in a general decrease in cotton fiber quality, especially spindle twists, preparation, and neps. Previous research showed that spindle speeds of 3000 and 4000 rpm had more detrimental effects on cotton fiber quality than a spindle speed of 2000 rpm. Field tests were conducted for the 2011, 2012, and 2013 crop years by the USDA, Agricultural Research Service, Southwestern Cotton Ginning Research Laboratory in Mesilla Park, New Mexico. Three cotton varieties were grown each year under irrigated conditions near Las Cruces, New Mexico, and harvested with cotton pickers equipped with spindles having diameters of 1.27, 1.43, and 1.59 cm (1/2, 9/16, and 5/8 in.), using a ground speed of 0.85 m s-1 (1.9 mi h-1). Spindle speeds were 2000 rpm in each case. Pickers with larger spindle diameters had lower stalk loss and sometimes had lower foreign matter levels in the seed cotton as well as in the ginned lint. These foreign matter levels significantly affected HVI foreign matter content and leaf grade. HVI classing data other than foreign matter content and related leaf grade showed no significant differences among spindle diameter treatments. AFIS nep count, short fiber content, trash count, dust count, and seed coat nep count showed no significant differences due to spindle diameter treatments or interactions. Results from ring spinning mini-tests, including skein breaking strength, skein count, skein count-strength product (CSP), yarn strength, yarn elongation, neps, thick places, and thin places also showed no significant differences due to spindle diameter. Based on these results, the picker unit with 1.59 cm (5/8 in.) spindles was optimal, but differences in performance were not large. Keywords: Fiber quality, Harvesting.

2019 ◽  
Vol 12 (1) ◽  
pp. 31
Author(s):  
Ruixiu Sui

Saw-type lint cleaner (STLC) was most efficient lint cleaner in cotton ginning. However, STLC damaged fiber quality. An air-bar lint cleaner (ABLC) was developed and evaluated to preserve cotton fiber quality. The ABLC used pressurized-air to remove non-lint materials from cotton fiber. During lint cleaning process, non-lint materials attached to the fiber were blown off the fiber without the fiber making aggressive mechanical contact with a grid bar in conventional saw-type lint cleaner (STLC). It was expected using this concept that the fiber quality could be preserved by reducing the damage from mechanical impact of the fiber against the grid bar. Preliminary testing of the ABLC prototype showed that ABLC generated less lint waste and had a higher turnout rate than STLC. Use of ABLC could save 2.8 kg of lint in each 225 kg bale of cotton. The High Volume Instrument (HVI) analysis indicated the fiber properties in fiber length, uniformity, short fiber content, and color were not significantly different between ABLC and STLC. However, the Advanced Fiber Information System (AFIS) tests showed STLC had better performance than ABLC in fiber length and short fiber content while the trash and dust content with ABLC was lower than the STLC. More research was necessary to further prove the concept of ABLC and improve its performance in preserving cotton fiber quality.


2021 ◽  
Vol 3 (1) ◽  
pp. 45-52
Author(s):  
Mona El-Sayed Shalaby ◽  
Ibrahim Ahmed Ebaido ◽  
Yasser Shokry Abd-El-Rahman

The purpose of the current study is to characterize Egyptian cotton using HVI and CCS measurements. The present investigation was carried out at two different locations: The Global Center for Cotton Testing Research in International Cotton Association (ICA) using HVI instrument in Germany and Egyptian and International Cotton Classification Center (EICCC), Cotton Research Institute (CRI), Agricultural Research Center (ARC) using CCS instrument in Egypt. Samples are sourced from standardized preparation stages to obtain more homogeneity. All samples were collected from 2018 and 2019 cotton growing seasons. The studied cotton fiber properties: upper half mean (UHM), uniformity index (UI %), short fiber index (SFI %), strength (FS) and elongation (E %) and micronaire reading (Mike) and maturity ratio (MR). The studied cotton varieties include long staple cotton varieties i.e., Giza 86 and Giza 95 and extra-long staple cotton varieties i.e., Giza 92 and Giza 93, in terms of basic Egyptian cotton grade Good (G). The results of HVI and CCS measurements were detected by using descriptive statistics such as measures of central tendency and dispersion, skewness, and kurtosis. The CCS measurements were more stable than HVI measurements. Confidence intervals of CCS measurements were close to each other compared to HVI measurements. For instance, in Giza 92, confidence interval of UHM was 32.00-32.32for HVI and 32.50-32.55for CCS, adding to confidence intervals for FS were 45.19-46.83for HVI and 46.99-47.17 for CCS. Meanwhile, confidence intervals for Mike were 3.04–3.21 for HVI and 3.12–3.14 for CCS. Basically, sample sizes of CCS were larger more than sample sizes of HVI so that results of CCS measurements were more homogenous than HVI measurements. Applying reliability analysis for consistent results in CCS and HVI measurements elaborated Cronbach's value were more efficient than using Cronbach's value if item deleted for both CCS and HVI. Cronbach's value of CCS measurements was more than HVI measurements and that due to the homogeneity of CCS samples compared to HVI samples.


2006 ◽  
Author(s):  
Yufeng Ge ◽  
J. A. Thomasson ◽  
Ruixiu Sui

2003 ◽  
Vol 106 (3) ◽  
pp. 384-396 ◽  
Author(s):  
A. H. Paterson ◽  
Y. Saranga ◽  
M. Menz ◽  
C.-X. Jiang ◽  
R. Wright

2018 ◽  
Vol 8 (5) ◽  
pp. 1721-1732 ◽  
Author(s):  
Washington Gapare ◽  
Shiming Liu ◽  
Warren Conaty ◽  
Qian-Hao Zhu ◽  
Vanessa Gillespie ◽  
...  

2009 ◽  
Author(s):  
Vince P Schielack III ◽  
Ruixiu Sui ◽  
J A Thomasson ◽  
Eric Hequet ◽  
Christine Morgan

2009 ◽  
Vol 102 (4) ◽  
pp. 1515-1522 ◽  
Author(s):  
Michael D. Toews ◽  
W. Donald Shurley

Crop Science ◽  
2005 ◽  
Vol 45 (1) ◽  
pp. cropsci2005.0123a ◽  
Author(s):  
Jean-Marc Lacape ◽  
Trung-Bieu Nguyen ◽  
Brigitte Courtois ◽  
Jean-Louis Belot ◽  
Marc Giband ◽  
...  

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