M. Mustaqimah, S. Syafriandi, A. Lubis, Nawawi Juhan, D. Nurba
This study aims to develop a fish grater machine to produce shredded fish on a household scale. The development of this fish shredder machine considers getting the maximum capacity, a minimum percentage of losses, a maximum percentage of the samples with short grade and middle grade size, and a maximum percentage of the samples with rough grade size with limited sources specified power. The method used in this research is the machine manufacturing and testing approach. Three types of shredder machine teeth (K-type, P-type, and B-type) are the main focus of this research to optimize the quality of the shredded material and the machine's performance. The machine capacity, the percentage of losses, and the optimal quality of the counting size of the developed machine can be achieved using K-type shredder machine teeth. Analysis of variance and the t-test are used simultaneously to determine the optimal performance of this machine. The results of this study suggest that using a K-type shredder machine teeth is the most appropriate shredder machine for shredded fish.
{"title":"DEVELOPMENT OF TUNA FISH SHREDDER FOR SMALL AND MEDIUM ENTERPRISES","authors":"M. Mustaqimah, S. Syafriandi, A. Lubis, Nawawi Juhan, D. Nurba","doi":"10.35633/inmateh-69-15","DOIUrl":"https://doi.org/10.35633/inmateh-69-15","url":null,"abstract":"This study aims to develop a fish grater machine to produce shredded fish on a household scale. The development of this fish shredder machine considers getting the maximum capacity, a minimum percentage of losses, a maximum percentage of the samples with short grade and middle grade size, and a maximum percentage of the samples with rough grade size with limited sources specified power. The method used in this research is the machine manufacturing and testing approach. Three types of shredder machine teeth (K-type, P-type, and B-type) are the main focus of this research to optimize the quality of the shredded material and the machine's performance. The machine capacity, the percentage of losses, and the optimal quality of the counting size of the developed machine can be achieved using K-type shredder machine teeth. Analysis of variance and the t-test are used simultaneously to determine the optimal performance of this machine. The results of this study suggest that using a K-type shredder machine teeth is the most appropriate shredder machine for shredded fish.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43847026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To explore the application of traditional machine learning model in the intelligent management of pigs, in this paper, the influence of Principal Components Analysis (this method is simply referred to as PCA) pre-treatment on pig face identification with Support Vector Machine (this method is simply referred to as SVM) is studied. By testing method, the kernel functions of two testing schemes, one adopting SVM alone and the other adopting PCA+SVM, were determined to be poly and Radial Basis Function, whose coefficients were 0.03 and 0.01, respectively. With individual identification tests carried out on 10 pigs respectively, the identification accuracy was increased to 88.85% from 83.66% by the improved scheme, also the training time as well as testing time were reduced to 30.1% and 20.97% of the original value in the earlier scheme, respectively. It indicates that PCA pre-treatment had a positive effect on improving the efficiency of individual pig identification with SVM. It provides experimental support for the mobile terminals and embedded application of SVM classifiers.
{"title":"STUDY ON THE INFLUENCE OF PCA PRE-TREATMENT ON PIG FACE IDENTIFICATION WITH SUPPORT VECTOR MACHINE (SVM)","authors":"Hong-Ping Yan, Zhiwei Hu, Qingliang Cui","doi":"10.35633/inmateh-69-09","DOIUrl":"https://doi.org/10.35633/inmateh-69-09","url":null,"abstract":"To explore the application of traditional machine learning model in the intelligent management of pigs, in this paper, the influence of Principal Components Analysis (this method is simply referred to as PCA) pre-treatment on pig face identification with Support Vector Machine (this method is simply referred to as SVM) is studied. By testing method, the kernel functions of two testing schemes, one adopting SVM alone and the other adopting PCA+SVM, were determined to be poly and Radial Basis Function, whose coefficients were 0.03 and 0.01, respectively. With individual identification tests carried out on 10 pigs respectively, the identification accuracy was increased to 88.85% from 83.66% by the improved scheme, also the training time as well as testing time were reduced to 30.1% and 20.97% of the original value in the earlier scheme, respectively. It indicates that PCA pre-treatment had a positive effect on improving the efficiency of individual pig identification with SVM. It provides experimental support for the mobile terminals and embedded application of SVM classifiers.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45725205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To carry out simulation research on tire-soil interaction, EDEM software was used to calibrate the test soil and the contact parameters between the tire and soil. The soil contact model was the Edinburgh Elasto-Plastic Adhesion (EEPA) model. Using the soil repose angle as the repose value, the contact plasticity ratio, the soil-soil rolling friction coefficient, and the tensile exponential (Tensile exp) were respectively calculated using the Plackett-Burman test, the steepest climbing test, and the Box-Behnken test, and the optimal combination of parameters was found to be E = 0.08, B = 0.1, and F = 4.8. The values of the remaining parameters were as follows: a soil-soil static friction coefficient of 0.45, a restitution coefficient of 0.5, a surface energy of 4, and a tangential stiffness multiplier of 0.35. Based on the slope sliding method, the coefficient of static friction between soil and rubber was calculated as 0.88. On this basis, a central combination test was designed to calibrate the rubber-soil rolling friction coefficient and coefficient of restitution, the optimal combination of which was found to be H = 0.18 and I = 0.55. A soil tank model was created using the optimal parameters, and the correctness of the established soil discrete element model and rubber-soil contact parameters was validated by comparing the simulation results and the results of an experiment of the tire driving process.
{"title":"PARAMETER CALIBRATION FOR THE DISCRETE ELEMENT SIMULATION OF TIRE-SOIL INTERACTION","authors":"Yajun Zhao, Yifan Hou, Xiao Li, Haijun Zhu, Siyuan Cen, Hongling Jin","doi":"10.35633/inmateh-69-67","DOIUrl":"https://doi.org/10.35633/inmateh-69-67","url":null,"abstract":"To carry out simulation research on tire-soil interaction, EDEM software was used to calibrate the test soil and the contact parameters between the tire and soil. The soil contact model was the Edinburgh Elasto-Plastic Adhesion (EEPA) model. Using the soil repose angle as the repose value, the contact plasticity ratio, the soil-soil rolling friction coefficient, and the tensile exponential (Tensile exp) were respectively calculated using the Plackett-Burman test, the steepest climbing test, and the Box-Behnken test, and the optimal combination of parameters was found to be E = 0.08, B = 0.1, and F = 4.8. The values of the remaining parameters were as follows: a soil-soil static friction coefficient of 0.45, a restitution coefficient of 0.5, a surface energy of 4, and a tangential stiffness multiplier of 0.35. Based on the slope sliding method, the coefficient of static friction between soil and rubber was calculated as 0.88. On this basis, a central combination test was designed to calibrate the rubber-soil rolling friction coefficient and coefficient of restitution, the optimal combination of which was found to be H = 0.18 and I = 0.55. A soil tank model was created using the optimal parameters, and the correctness of the established soil discrete element model and rubber-soil contact parameters was validated by comparing the simulation results and the results of an experiment of the tire driving process.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45101555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongbin Bai, Xuying Li, Fandi Zeng, Q. Su, J. Cui, Junyue Wang, Yongzhi Zhang
To accurately simulate the interactions between the plug seedlings and the planter during the planting process and explore the damage mechanism of the plug seedling substrate block, the bonding parameters of plug seedlings substrate block were calibrated by the discrete element method. The physical puncture test showed that the average of maximum force of the cone indenter on substrate block measured by texture analyzer was 4.633 N. A Hertz-Mindlin with the bonding model was established for the substrate block in EDEM software. A virtual calibration experiment was designed with the puncture force of substrate block as the evaluation index. The two-level factorial test and the steepest climbing test were used to screen out the significant parameters and the optimal interval. Then, the Box-Behnken test and the optimization solution were used to obtain the optimal bonding parameter combination of the substrate block particles. Finally, the optimal parameter combination was simulated and verified. The relative error of the maximum puncture force between the simulated value and the measured value was 1.88 %, which indicated that the bonding parameters of the substrate block obtained by calibration were accurate and reliable.
为了准确模拟插拔苗在种植过程中与播种机的相互作用，探索插拔苗基质块的损伤机理，采用离散元法对插拔苗基质块的粘结参数进行了标定。物理穿刺试验表明，织构仪测得的锥压头对基材块的最大作用力平均值为4.633 N. A Hertz-Mindlin，并在EDEM软件中建立了基材块的粘结模型。设计了以基片穿刺力为评价指标的虚拟标定实验。采用两水平析因检验和最陡爬坡检验筛选显著参数和最优区间。然后，通过Box-Behnken试验和优化解，得到基片颗粒的最佳结合参数组合。最后对最优参数组合进行了仿真验证。最大穿刺力模拟值与实测值的相对误差为1.88%，表明标定得到的基片粘结参数准确可靠。
{"title":"CALIBRATION AND EXPERIMENTS OF THE SIMULATION BONDING PARAMETERS FOR PLUG SEEDLING SUBSTRATE BLOCK","authors":"Hongbin Bai, Xuying Li, Fandi Zeng, Q. Su, J. Cui, Junyue Wang, Yongzhi Zhang","doi":"10.35633/inmateh-69-59","DOIUrl":"https://doi.org/10.35633/inmateh-69-59","url":null,"abstract":"To accurately simulate the interactions between the plug seedlings and the planter during the planting process and explore the damage mechanism of the plug seedling substrate block, the bonding parameters of plug seedlings substrate block were calibrated by the discrete element method. The physical puncture test showed that the average of maximum force of the cone indenter on substrate block measured by texture analyzer was 4.633 N. A Hertz-Mindlin with the bonding model was established for the substrate block in EDEM software. A virtual calibration experiment was designed with the puncture force of substrate block as the evaluation index. The two-level factorial test and the steepest climbing test were used to screen out the significant parameters and the optimal interval. Then, the Box-Behnken test and the optimization solution were used to obtain the optimal bonding parameter combination of the substrate block particles. Finally, the optimal parameter combination was simulated and verified. The relative error of the maximum puncture force between the simulated value and the measured value was 1.88 %, which indicated that the bonding parameters of the substrate block obtained by calibration were accurate and reliable.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44329182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The key to diagnosing the types and degree of apple leaf diseases is to correctly segment apple leaf disease spots. Therefore, in order to effectively solve the problem of poor segmentation of leaves and diseased areas, the U2Net semantic segmentation network model was used in the research of apple leaf disease identification and disease diagnosis, and compared with the classic semantic segmentation network model DeepLabV3+ and UNet. In addition, the effects of different learning rates (0.01, 0.001, 0.0001) and optimizers (Adam, SGD) on the performance of U2Net network model were compared and analyzed. The experimental results showed that the learning rate is 0.001 and the optimizer is Adam, the average pixel accuracy (MPA) and mean intersection over union (MIoU) of the research model for lesion segmentation reach 98.87% and 84.43%, respectively. The results of this study were expected to provide the theoretical basis for the precise control of apple leaf disease.
{"title":"RESEARCH ON APPLE LEAF DISEASE SEGMENTATION AND CLASSIFICATION BASED ON SEMANTIC SEGMENTATION NETWORK","authors":"Bin Wang, Lili Li, Shilin Li, Hua Yang","doi":"10.35633/inmateh-69-27","DOIUrl":"https://doi.org/10.35633/inmateh-69-27","url":null,"abstract":"The key to diagnosing the types and degree of apple leaf diseases is to correctly segment apple leaf disease spots. Therefore, in order to effectively solve the problem of poor segmentation of leaves and diseased areas, the U2Net semantic segmentation network model was used in the research of apple leaf disease identification and disease diagnosis, and compared with the classic semantic segmentation network model DeepLabV3+ and UNet. In addition, the effects of different learning rates (0.01, 0.001, 0.0001) and optimizers (Adam, SGD) on the performance of U2Net network model were compared and analyzed. The experimental results showed that the learning rate is 0.001 and the optimizer is Adam, the average pixel accuracy (MPA) and mean intersection over union (MIoU) of the research model for lesion segmentation reach 98.87% and 84.43%, respectively. The results of this study were expected to provide the theoretical basis for the precise control of apple leaf disease.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47296557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Identification and classification of vegetation are the basis for grassland degradation monitoring, classification and quantification studies. Here, four deep learning models were used to classify the unmanned aerial vehicle (UAV) hyperspectral remote sensing images of desert grassland. VGG16 and ResNet18 achieved better image classification results for vegetation and bare soil, whereas three-dimensional (3D)-VGG16 and 3D-ResNet18, improved by 3D convolutional kernels, achieved better classification for vegetation, bare soil and small sample features in the images. The number of convolutional kernels, its size and batch size parameters of each model were optimised, and 3D-ResNet18-J had the best classification performance, with an overall classification accuracy of 97.74%. It achieved high precision and efficiency in classifying UAV hyperspectral remote sensing images of desert grassland.
{"title":"HYPERSPECTRAL IMAGE CLASSIFICATION IN DESERT GRASSLAND BASED ON THREE-DIMENSIONAL DEEP LEARNING MODEL","authors":"Ronghua Wang, Yanbin Zhang, J. Du, Yuge Bi","doi":"10.35633/inmateh-69-46","DOIUrl":"https://doi.org/10.35633/inmateh-69-46","url":null,"abstract":"Identification and classification of vegetation are the basis for grassland degradation monitoring, classification and quantification studies. Here, four deep learning models were used to classify the unmanned aerial vehicle (UAV) hyperspectral remote sensing images of desert grassland. VGG16 and ResNet18 achieved better image classification results for vegetation and bare soil, whereas three-dimensional (3D)-VGG16 and 3D-ResNet18,\u0000improved by 3D convolutional kernels, achieved better classification for vegetation, bare soil and small sample features in the images. The number of convolutional kernels, its size and batch size parameters of each model were optimised, and 3D-ResNet18-J had the best classification performance, with an overall classification accuracy of 97.74%. It achieved high precision and efficiency in classifying UAV hyperspectral remote sensing\u0000images of desert grassland.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49253222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yujie Deng, Guohai Zhang, A. Zhang, Jitan Lian, Jiaguo Yao, Xin Wang, Xiaohui Yang
To address the problems of high breakage rates, high entrainment losses and many unthreshed kernels when harvesting high moisture content maize seeds, a high moisture content maize seed threshing test was designed based on a multifunctional seed harvester stand designed by this group.In order to determine the optimum operating parameters of the threshing unit, single-factor experiments and orthogonal tests were carried out using the threshing drum speed, concave plate clearance and feed rate as test factors and the crushing rate, unthreshing rate, entrained loss rate and trash content rate as test evaluation indicators.The optimum combination of test factors obtained for the harvesting of maize at 32% to 34% moisture content was a drum speed of 346.55r/min, a concave plate clearance of 44.39mm and a feed rate of 9.739Kg/s.After repeated experiments on the bench, the test results with optimum parameters were 6.311% crushing rate, 0.187% unthreshing rate, 0.912% entrained loss rate and 4.251% impurity rate, at which point the crushing rate was the lowest and the other three met national standards.
{"title":"EXPERIMENTAL ANALYSIS OF THRESHING MAIZE SEEDS WITH HIGH MOISTURE CONTENT","authors":"Yujie Deng, Guohai Zhang, A. Zhang, Jitan Lian, Jiaguo Yao, Xin Wang, Xiaohui Yang","doi":"10.35633/inmateh-69-12","DOIUrl":"https://doi.org/10.35633/inmateh-69-12","url":null,"abstract":"To address the problems of high breakage rates, high entrainment losses and many unthreshed kernels when harvesting high moisture content maize seeds, a high moisture content maize seed threshing test was designed based on a multifunctional seed harvester stand designed by this group.In order to determine the optimum operating parameters of the threshing unit, single-factor experiments and orthogonal tests were carried out using the threshing drum speed, concave plate clearance and feed rate as test factors and the crushing rate, unthreshing rate, entrained loss rate and trash content rate as test evaluation indicators.The optimum combination of test factors obtained for the harvesting of maize at 32% to 34% moisture content was a drum speed of 346.55r/min, a concave plate clearance of 44.39mm and a feed rate of 9.739Kg/s.After repeated experiments on the bench, the test results with optimum parameters were 6.311% crushing rate, 0.187% unthreshing rate, 0.912% entrained loss rate and 4.251% impurity rate, at which point the crushing rate was the lowest and the other three met national standards.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45031146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Hidayat, Ari Rahayuningtyas, D. Sagita, Maulana Furqon, A. Sudaryanto, Dadang Gandara, Taufik Yudhi, Nandang Jaenudin
In this study, a fluidized coffee roaster has been successfully designed, constructed, and tested. This prototype has a capacity of 500 grammes per batch to aid small-scale coffee shops in roasting coffee beans. This fluidized coffee roaster is easy to use, cheap and has an appropriate capacity for the small business requirements. The coffee roasting components of the machine consisted of a blower (600 watts), a heat exchanger, a jet burner, a cylindrical roasting chamber, a chaff and dust collector, and a frame. At a range of airflow of 4-6 m/sec, the average temperature increase in the furnace and roasting chamber was 26 °C and 7.8 °C per minute, respectively. Performance tests revealed that the developed fluidized coffee roaster had been able to roast Robusta and Arabica coffee to light, medium, and dark roasting levels. For Robusta coffee, the time required to achieve light, medium, and dark levels were 8.18, 9.85, and 12.03 minutes, respectively, with final roasting temperatures for each level of 209 °C, 220 °C, and 248°C. For Arabica coffee, the time required was 5.32, 7.67, and 11.72 minutes, respectively with the final roasting temperatures of 207 °C, 210 °C, and 218 °C.
{"title":"DEVELOPMENT AND PERFORMANCE EVALUATION OF A LIQUEFIED PETROLEUM GAS-POWERED FLUIDIZED COFFEE ROASTER","authors":"D. Hidayat, Ari Rahayuningtyas, D. Sagita, Maulana Furqon, A. Sudaryanto, Dadang Gandara, Taufik Yudhi, Nandang Jaenudin","doi":"10.35633/inmateh-69-33","DOIUrl":"https://doi.org/10.35633/inmateh-69-33","url":null,"abstract":"In this study, a fluidized coffee roaster has been successfully designed, constructed, and tested. This prototype has a capacity of 500 grammes per batch to aid small-scale coffee shops in roasting coffee beans. This fluidized coffee roaster is easy to use, cheap and has an appropriate capacity for the small business requirements. The coffee roasting components of the machine consisted of a blower (600 watts), a heat exchanger, a jet burner, a cylindrical roasting chamber, a chaff and dust collector, and a frame. At a range of airflow of 4-6 m/sec, the average temperature increase in the furnace and roasting chamber was 26 °C and 7.8 °C per minute, respectively. Performance tests revealed that the developed fluidized coffee roaster had been able to roast Robusta and Arabica coffee to light, medium, and dark roasting levels. For Robusta coffee, the time required to achieve light, medium, and dark levels were 8.18, 9.85, and 12.03 minutes, respectively, with final roasting temperatures for each level of 209 °C, 220 °C, and 248°C. For Arabica coffee, the time required was 5.32, 7.67, and 11.72 minutes, respectively with the final roasting temperatures of 207 °C, 210 °C, and 218 °C.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47360427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to solve the problem of high broken rate and impurity rate in the direct harvesting of corn kernels in China, a flexible threshing element with variable stiffness consisting of a conical spring and rasp bar was developed on the basis of the existing horizontal axial-flow flow corn threshing cylinder structure to achieve low loss harvesting of corn kernels. Through mechanical analysis of the key components of the threshing element, its structure and operating parameters were determined. Then, orthogonal tests were carried out using the feed amount, threshing clearance and cylinder speed as the test factors, and the broken rate and impurity rate of the corn kernels as the test indicators. The results showed that the feed amount, threshing clearance and cylinder speed had a significant effect on the broken rate and impurity rate of corn kernels; the optimum parameters for the corn variable stiffness flexible threshing device were feed amount 6.1 kg•s−1, threshing clearance 40 mm and cylinder speed 392 r•min−1. The broken rate of corn kernels was 1.67% and impurity rate 1.03%. The test results fully met the requirements of the national standards for corn harvesting operations. This study provides a technical basis for the application of the axial flow corn flexible threshing device in the corn direct harvesting combine.
{"title":"DESIGN AND EXPERIMENT OF TRANSVERSE AXIAL FLOW CORN FLEXIBLE THRESHING DEVICE","authors":"Huabiao Li, Qihuan Wang, Jie Ma, Yanan Wang, Dong Yue, Duanyang Geng","doi":"10.35633/inmateh-69-43","DOIUrl":"https://doi.org/10.35633/inmateh-69-43","url":null,"abstract":"In order to solve the problem of high broken rate and impurity rate in the direct harvesting of corn kernels in China, a flexible threshing element with variable stiffness consisting of a conical spring and rasp bar was developed on the basis of the existing horizontal axial-flow flow corn threshing cylinder structure to achieve low loss harvesting of corn kernels. Through mechanical analysis of the key components of the threshing element, its structure and operating parameters were determined. Then, orthogonal tests were carried out using the feed amount, threshing clearance and cylinder speed as the test factors, and the broken rate and impurity rate of the corn kernels as the test indicators. The results showed that the feed amount, threshing clearance and cylinder speed had a significant effect on the broken rate and impurity rate of corn kernels; the optimum parameters for the corn variable stiffness flexible threshing device were feed amount 6.1 kg•s−1, threshing clearance 40 mm and cylinder speed 392 r•min−1. The broken rate of corn kernels was 1.67% and impurity rate 1.03%. The test results fully met the requirements of the national standards for corn harvesting operations. This study provides a technical basis for the application of the axial flow corn flexible threshing device in the corn direct harvesting combine.","PeriodicalId":44197,"journal":{"name":"INMATEH-Agricultural Engineering","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48227144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haihua Jing, Jing Zhang, Kebao Dong, Jiaqi Ma, Zexu Jin
Water scarcity has been a critical constraint to economic development in semi-arid areas of China, so optimizing irrigation scheduling has become essential. This study obtained quantitative relationships between crop yield, crop water consumption, and irrigation quantity based on the Hydrus-2D and Stewart models. Different irrigation scheduling scenarios were evaluated to obtain the best irrigation scheduling based on the principle of simultaneous water conservation and crop productivity improvement with the evaluation indicators of crop yield, water use efficiency (WUE), irrigation water use efficiency (IWUE), and Critic-Topsis method. Taking drip irrigation under mulch as an example, the problem of optimizing the irrigation scheduling for different typical years was calculated. The optimization results showed that in the wet, normal, dry, and very dry years the annual irrigation quantity should be 49.68 mm, 49.68 mm, 85.38 mm, and 123.72 mm, when the WUE as well as IWUE, increases significantly, which had less impact on the crop yield and can save irrigation quantity by 30.00%, 30.00%, 35.00%, 27.00%. This study used Hydrus-2D to make a new attempt in irrigation scheduling optimization, giving full play to the model's high accuracy in soil water transport simulation and flexibility in boundary condition simulation. The optimization results can provide a reference for achieving accurate control of irrigation quantity during the crop growth period and reasonable irrigation scheduling formulation for regional crops.
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