Mohamed Refai, Tarek Kh. Abdelkader, Hassan A. A. Sayed, Q. Wan, Mahmoud A. Abdelhamid
{"title":"Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest","authors":"Mohamed Refai, Tarek Kh. Abdelkader, Hassan A. A. Sayed, Q. Wan, Mahmoud A. Abdelhamid","doi":"10.1007/s42452-023-05545-y","DOIUrl":null,"url":null,"abstract":"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 CO 2 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, CO 2 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 CO 2 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","PeriodicalId":21821,"journal":{"name":"SN Applied Sciences","volume":" 2","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SN Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s42452-023-05545-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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 CO 2 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, CO 2 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 CO 2 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
摘要:牧草收获的生产力和效率取决于割草机叶片的锋利度和质量。因此,研究苜蓿收获过程中叶片的磨损对叶片的锐化和维护至关重要。本研究旨在建立数学模型来预测割草机叶片的磨损,并评估收割过程中割草机叶片的磨损率、燃料消耗和二氧化碳排放。采用减重法测定叶片磨损量,并用扫描电子显微镜(SEM)对试验前后叶片磨损情况进行分析。结果表明,在37.5个工作小时后,割草机叶片重量从103.82 g下降到98.39 g。随着时间的推移,由于叶片的磨损,燃料消耗和运行成本增加。实验开始时,co2排放量为17.7 kg h−1,37.5个工作小时后,co2排放量增加到29.5 kg h−1。由于叶片的磨损,在实验结束时,燃料消耗、成本和二氧化碳排放量的增加达到67%。由得到的数学方程可知,经过34±3个工作小时后,叶片的锋利部分已经磨损。图形抽象