Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest

Abstract The productivity and efficiency of harvesting forage crops depend on the sharpness and quality of the mower blades. Therefore, studying blade wear during Alfalfa harvesting is crucial to sharpening and maintaining blades. This research aims to create mathematical models to predict the wear...

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Main Authors: Mohamed Refai, Tarek Kh. Abdelkader, Hassan A. A. Sayed, Q. Wan, Mahmoud A. Abdelhamid
Format: Article
Language:English
Published: Springer 2023-11-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-023-05545-y
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author Mohamed Refai
Tarek Kh. Abdelkader
Hassan A. A. Sayed
Q. Wan
Mahmoud A. Abdelhamid
author_facet Mohamed Refai
Tarek Kh. Abdelkader
Hassan A. A. Sayed
Q. Wan
Mahmoud A. Abdelhamid
author_sort Mohamed Refai
collection DOAJ
description Abstract The productivity and efficiency of harvesting forage crops depend on the sharpness and quality of the mower blades. Therefore, studying blade wear during Alfalfa harvesting is crucial to sharpening and maintaining blades. This research aims to create mathematical models to predict the wear of mower blades and assess the wear rate of mower blades, fuel consumption, and CO2 emissions during the harvesting operation. Blade wear was measured by the weight loss method and examined by scanning electron microscopy (SEM) before and after the field experiment. The results showed that the weight of the mower blade decreased from 103.82 to 98.39 g after 37.5 working hours. Over time, fuel consumption and operating costs increased due to the wear of blades. Also, CO2 emissions were 17.7 kg h−1 at the beginning of the experiment and increased to 29.5 kg h−1 after 37.5 working hours. Due to wear in the blades, the increase in fuel consumption, cost, and CO2 emissions reached 67% at the end of the experiment. From the obtained mathematical equations, the sharp part of the blade has worn out after 34 ± 3 working hours. Graphical abstract
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spelling doaj.art-3abf9709d7044d5bbf5183bbfdf1a3762023-11-12T12:26:43ZengSpringerSN Applied Sciences2523-39632523-39712023-11-0151211510.1007/s42452-023-05545-yWear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvestMohamed Refai0Tarek Kh. Abdelkader1Hassan A. A. Sayed2Q. Wan3Mahmoud A. Abdelhamid4Department of Agricultural Engineering, Faculty of Agriculture, Cairo UniversityDepartment of Agricultural Engineering, Faculty of Agriculture, Fayoum UniversityDepartment of Agricultural Power and Machinery Engineering, Faculty of Agricultural Engineering, Al-Azhar UniversityCollege of Engineering, Huazhong Agricultural UniversityDepartment of Agricultural Engineering, Faculty of Agriculture, Ain Shams UniversityAbstract The productivity and efficiency of harvesting forage crops depend on the sharpness and quality of the mower blades. Therefore, studying blade wear during Alfalfa harvesting is crucial to sharpening and maintaining blades. This research aims to create mathematical models to predict the wear of mower blades and assess the wear rate of mower blades, fuel consumption, and CO2 emissions during the harvesting operation. Blade wear was measured by the weight loss method and examined by scanning electron microscopy (SEM) before and after the field experiment. The results showed that the weight of the mower blade decreased from 103.82 to 98.39 g after 37.5 working hours. Over time, fuel consumption and operating costs increased due to the wear of blades. Also, CO2 emissions were 17.7 kg h−1 at the beginning of the experiment and increased to 29.5 kg h−1 after 37.5 working hours. Due to wear in the blades, the increase in fuel consumption, cost, and CO2 emissions reached 67% at the end of the experiment. From the obtained mathematical equations, the sharp part of the blade has worn out after 34 ± 3 working hours. Graphical abstracthttps://doi.org/10.1007/s42452-023-05545-yMower blades wearAlfalfa harvestSEM analysisMathematical modelsAgricultural mechanizationCO2 emissions
spellingShingle Mohamed Refai
Tarek Kh. Abdelkader
Hassan A. A. Sayed
Q. Wan
Mahmoud A. Abdelhamid
Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
SN Applied Sciences
Mower blades wear
Alfalfa harvest
SEM analysis
Mathematical models
Agricultural mechanization
CO2 emissions
title Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
title_full Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
title_fullStr Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
title_full_unstemmed Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
title_short Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest
title_sort wear behavior and co2 emissions analysis of drum mower blades during alfalfa harvest
topic Mower blades wear
Alfalfa harvest
SEM analysis
Mathematical models
Agricultural mechanization
CO2 emissions
url https://doi.org/10.1007/s42452-023-05545-y
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AT hassanaasayed wearbehaviorandco2emissionsanalysisofdrummowerbladesduringalfalfaharvest
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