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ARS Home » Southeast Area » Stoneville, Mississippi » Cotton Ginning Research » Research » Publications at this Location » Publication #406893
Research Project: Development and Evaluation of Novel Technologies to Improve Fiber Quality and Increase Profitability in Cotton Processing

Location: Cotton Ginning Research

Title: Energy consumption of a breeder gin stand by sample size and saw

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

Submitted to: Applied Engineering in Agriculture
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/17/2023
Publication Date: 12/1/2023
Citation: Donohoe, S.P., Alege, F.P., Blake, C.D., Thomas, J.W. 2023. Energy consumption of a breeder gin stand by sample size and saw. Applied Engineering in Agriculture. 39(6):585-593. https://doi.org/10.13031/aea.15765.
DOI: https://doi.org/10.13031/aea.15765

Interpretive Summary: A number of variables can effect cotton ginning energy consumption. The potential effects of all the variables are not well known. This study focused on the effect of sample size on a 10-saw breeder gin stand with 10-inch saws. This study also included two different sets of saws one old (worn) and one new. Seed cotton samples tested ranged form 100 grams to 1600 grams. A linear model was a good fit for the energy data collected with respect to the sample size. There were some differences observed between the saws tested but the exact reasons for the differences are unknown and require more study.

Technical Abstract: Ginning seed cotton on a 10-saw breeder gin stand with 10-inch saws is often a batch process and there are variables which may affect energy consumption. This study focused on differences in energy consumption of a 10-saw breeder gin stand across five sample sizes of seed cotton ranging from 0.1 kg to 1.6 kg while also including two sets of saws. An independent t-test found no difference in the energy data for similar tests performed on different days, i.e., the conditions under which the test ran did not affect the results. A linear model found evidence that the saw variable and sample size were important to the model. Differences in the model between the saw sets may be due to the surface finish of the saw blade; the geometry of the saw blade may also be important. These results help develop guidelines for comparing data across different sample sizes and saw conditions on breeder gin stands.