Corn Ear Orientation Effects on Mechanical Damage and Forces on Concave

Mahmoud, Ali R.; Buchele, Wesley F.

doi:10.13031/2013.36607

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…The average movement rate of corn ears moving perpendicular to the concave crossbars varied across a very wide range, and the corn ears had eight to 15 contacts with the cylinder rasp bars. The results of these trials support the arguments put forward in former studies; namely that (i) maximum grain damage is incurred by ears fed with their axis perpendicular to the cylinder axis [10], and (ii) corn ears that enter the threshing device orientated in this way move at half the speed and their cobs are broken into several parts, becoming threshed only if the clearance is reduced to 29-8 mm due to the greater number of impacts by the rasp bars [7].…”

Section: Fig 5 Variation In Clearance Between Cylinder Rasp Bars Andsupporting

confidence: 87%

“…As a result, a corn ear that enters a larger space is not effectively acted upon by the rasp bars and its movement rate may decrease, potentially subjecting the threshed grains to additional damage. These assumptions were verified in this work by experimental trials involving the analysis of corn ear movement using a high-speed video recording method that has been previously applied in similar studies [7,10,15].…”

Section: Corn Ear Movement and Behaviour In The Clearance Between Cylsupporting

confidence: 54%

“…Corn ear behaviour in the clearance between the cylinder rasp bars and the concave crossbars depends on the diameter variation along its length and its position with respect to the first concave crossbar, whereas grain detachment from the cob depends on the strength of the grain bond to the cob [7,10]. Concave surface line variation equations were developed in view of the ear dimensions and were based on the assumption that the clearance between the cylinder rasp bars and concave crossbars at the beginning and end of the threshing device is 36 mm and 22 mm, respectively, for the both control and experimental concaves.…”

Section: Corn Ear Movement and Behaviour In The Clearance Between Cylmentioning

confidence: 99%

“…Excessive threshing has been reported to result in low threshing losses and greater grain damage [12,30]. Experimental results by a number of researchers indicated that the moisture content of grain has a significant influence on grain breakage [7,10,17,30,31].…”

Section: Loss Of Grain Separation Through Concavementioning

confidence: 99%

“…Mechanical damage to grain at harvest is mostly caused by field threshing, which is largely due to a high moisture content. Studies have shown that minimum grain damage during corn ear threshing is registered at moisture contents between 20% and 22% [10].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Concave Design for High-Moisture Corn Ear Threshing

Steponavičius

Pužauskas

Špokas

et al. 2018

mech

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Section: Fig 5 Variation In Clearance Between Cylinder Rasp Bars Andsupporting

confidence: 87%

Section: Corn Ear Movement and Behaviour In The Clearance Between Cylsupporting

confidence: 54%

Section: Corn Ear Movement and Behaviour In The Clearance Between Cylmentioning

confidence: 99%

Section: Loss Of Grain Separation Through Concavementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Concave Design for High-Moisture Corn Ear Threshing

Steponavičius

Pužauskas

Špokas

et al. 2018

mech

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A Review of Grain Kernel Damage: Mechanisms, Modeling, and Testing Procedures

Chen¹,

Wassgren²,

Ambrose³

2020

Transactions of the ASABE

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HighlightsPublished literature on grain kernel damage during handling is reviewed.Types and sources of grain kernel damage are discussed.Factors affecting the level of grain kernel damage are outlined.Models to predict grain kernel damage and corresponding test devices are summarized.Abstract. Grain kernel damage during harvest and handling continues to be a challenge in grain postharvest operations. This damage causes physical and physiological changes to grain, which reduces the grain quality and leads to significant yield loss. During harvesting and handling, grain kernels are subject to complex loading conditions consisting of a combination of impact, shear, and compression forces. The main damage mechanisms include impact, which causes external and internal cracks or even fragmentation of the kernel; attrition, which generates fine material; jamming, which deforms and breaks kernels due to high compressive forces; and fatigue, which produces broken kernels and fine material via repeatedly applied loads. Grain kernel damage accumulates as the grain moves through harvesting and handling operations. Harvesting is the major cause of cracks and breakage, while conveying after drying produces fine material. This article provides a comprehensive review of the types of grain kernel damage, sources of grain kernel damage, factors affecting damage, predictive damage models, and the experimental methods used to assess the damage. This review shows that although there is considerable empirical data focused on kernel damage, there is a lack of generalizable mechanics-based predictive models. Mechanics-based models are desirable because they would be useful for providing guidance on designing and operating grain handling processes to minimize kernel damage and thus improve grain quality. In addition, several damage models developed for non-grain particulate materials based on fracture mechanics are reviewed. With some modifications and detailed property analysis, there is potential for adapting the models developed for inorganic materials to predict grain kernel damage. Keywords: Grain kernel damage, Grain harvesting and handling, Breakage susceptibility, Grain damage prediction.

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Peeling Damage Recognition Method for Corn Ear Harvest Using RGB Image

Yuan

Zhao

et al. 2020

Applied Sciences

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Corn ear damage caused by peeling significantly influence the output and quality of corn harvest. Ear damage recognition is the basis to adjust working parameters and to reduce damage. Image processing is attracting increasing attentions in the field of agriculture. Conventional image processing methods are difficult to be used for recognizing corn ear damage caused by peeling in field harvesting. To address the this problem, in this paper, we propose a peeling damage recognition method based on RGB image. For our method, we develop a dictionary-learning-based method to recognize corn kernels and a thresholding method to recognize ear damage regions. To obtain better performance, we also develop the corroding algorithm and the expanding algorithm for the post-processing of recognized results. The experimental results demonstrate the practicality and accuracy of the proposed method. This study could provide the theoretical basis to develop online peeling damage detection system for corn ear harvesters.

show abstract

Corn Ear Orientation Effects on Mechanical Damage and Forces on Concave

Cited by 4 publications

References 7 publications

Concave Design for High-Moisture Corn Ear Threshing

Concave Design for High-Moisture Corn Ear Threshing

A Review of Grain Kernel Damage: Mechanisms, Modeling, and Testing Procedures

Peeling Damage Recognition Method for Corn Ear Harvest Using RGB Image

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