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ARS Home » Southeast Area » Stoneville, Mississippi » Cotton Ginning Research » Research » Publications at this Location » Publication #401509

Research Project: Development and Evaluation of Novel Technologies to Improve Fiber Quality and Increase Profitability in Cotton Processing

Location: Cotton Ginning Research

Title: 10-Saw gin stand energy variation with blade and sample size changes

Author
item Donohoe, Sean
item Blake, Cody
item Alege, Femi
item Thomas, Joseph

Submitted to: ASABE Annual International Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 3/17/2023
Publication Date: 7/10/2023
Citation: Donohoe, S.P., Blake, C.D., Alege, F.P., Thomas, J.W. 2023. 10-Saw gin stand energy variation with blade and sample size changes. ASABE Annual International Meeting. 2023 ASABE Annual International Meeting, Omaha, Nebraska, July 8-12, 2023.

Interpretive Summary:

Technical Abstract: When ginning with a small 10-saw gin stand like what breeders typically use, the condition of the saw blades might affect the ginning energy. Furthermore, the size of the seed cotton samples ginned may be important when trying to extract energy data. Therefore, this study looks at using an instrumented three-phase 10-saw gin stand to capture energy data along with post processing to compare results across blade sets. Testing includes two sets of saw blades (one old and one new) and for each set of blades, the seed cotton sample size is varied from 100 grams up to 1600 grams in 5 discrete steps. A custom conveyor system feeds cotton into the gin stand to control for potential variation from the operator while the instrumentation collects the requested information. After removing the energy consumed by the system while turned on but not actively ginning (i.e., the baseline energy), a statistical model fits the remaining portion of the energy. The time required to gin each sample size is also modeled as part of the analysis to get a sense of ginning rate. The analysis is ongoing, but early results suggest that there is a significant difference between the blade sets tested in terms of energy data.