Modeling and Optimization of High-Capacity Experimental Reclaimers to Minimize the Seed and Lint Loss during Roller Ginning of Upland and Pima Cotton

Author:

Tumuluru Jaya Shankar1ORCID,Armijo Carlos B.1,Whitelock Derek P.1ORCID,Funk Paul A.1ORCID

Affiliation:

1. Southwestern Cotton Ginning Research Laboratory, United States Department of Agriculture, Agriculture Research Service (USDA-ARS), 300 E College Ave, Las Cruces, NM 88005, USA

Abstract

In the present study, two high-capacity experimental roller gin reclaimers, (a) a modified 3-saw cylinder stick machine (three-saw) and (b) a modified 2-saw cylinder gin stand feeder (700), were optimized with respect to reclaimer saw cylinder speed and carryover/seed ratio to minimize the seed and lint loss for both Pima and Upland cotton varieties and were compared to a conventional roller gin reclaimer operated by the ginning industry under standard conditions. Developed regression models adequately described the seed and lint loss phenomena during the reclaiming process. Surface plots indicated that the reclaimer saw cylinder speed and carryover/seed ratio impacted the seed and lint loss for both the 3-saw and 700 reclaimers. Under optimized conditions, the 700 reclaimer resulted in lower lint and seed loss compared to the 3-saw reclaimer when using Upland cotton. In the case of Pima cotton, under optimized conditions, the 3-saw reclaimer had 38% lower lint loss and 24% higher seed loss compared to the 700 reclaimer. The regression equations of both 3-saw and 700 reclaimers were further used to optimize the reclaimers in parallel arrangement to minimize the seed and lint loss. With Upland cotton, the economic loss was about 2.5 times greater with the conventional reclaimer compared to the 3-saw and 700 reclaimers ($15.97/bale loss for the conventional, $8.63 for the 3-saw, and $6.44 for the 700 reclaimers). With Pima cotton, the conventional reclaimer resulted in a lower economic loss ($3.44/bale) compared to the 700 reclaimer which had a loss of about $3.59/bale.

Funder

USDA-ARS

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Reference32 articles.

1. Meyer, L., Dew, T., Grace, M., Lanclos, K., MacDonald, S., and Soley, G. (2023, January 23–24). The World and United Stated Cotton Outlook. Proceedings of the USDA’s 99th Annual Agricultural Outlook Forum, U.S. Agriculture: Seeds of Growth through Innovation, Hybrid Event. Available online: https://www.usda.gov/sites/default/files/documents/2023AOF-cotton-outlook.pdf.

2. USDA (2023, September 06). Economic Research Service, Available online: https://www.ers.usda.gov/topics/crops/cotton-and-wool/cotton-sector-at-a-glance/.

3. (2023, September 06). Cotton Incorporated. Available online: https://www.cottoninc.com/cotton-production/quality/us-cotton-fiber-chart/properties-of-the-growing-regions/.

4. NASS (2023). Cotton Ginnings 2022 Summary, USDA, National Agricultural Statistics Service.

5. Fiber and yarn properties from high-speed roller ginning of upland cotton;Armijo;Appl. Eng. Agric.,2013

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3