Effect of soil type, machine geometry, and working conditions on draft force of a moldboard plow and a disk plow
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article
2017
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Effect of soil type, machine geometry, and working conditions on draft force of a moldboard plow and a disk plow Iman Ahmadi 1 1- Assistant professor of Mechanics of agricultural machinery, Department of Agronomy, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran i_ahmadi_m@yahoo.com Abstract One of the most important factors that affect the efficiency of tillage implements is the implement draft. If the two components of the exerted force from tillage implements to the tractor that are parallel and perpendicular to the direction of motion are calculated, the parallel component will be the machine draft force. In this paper, effects of soil, machine, and working condition parameters on the components of the moldboard and disk plow draft forces are considered utilizing the two mechanical models. To obtain the considered mathematical formulas, values of each independent variable has been varied in the rage [50%Xbase , 150%Xbase], and their corresponding dependent variable was calculated. Finally, using the Excel software the equation and its R2 value were obtained. According to the results of this study, the increase in the percentage of fine-grained particles of soil led to the increase of the portion of that component of draft force that is derived from the soil cutting process. On the other hand, the minimum values of the specific draft force of the moldboard plow regarding to the plowing depth, took place in the range of 15 to 20 cm. Furthermore, the value of 40 cm was given as the optimum width of the bottom of the moldboard plow, and the value of 80 cm was obtained as the optimum disk diameter of the disk plow. Moreover, the value of 15º was resulted as the best rake angle for the disk plow regarding to the efficiency of the plow. Keywords: soil cutting, soil displacement, friction force, theoretical models, mechanical laws
مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
1
9
http://jbse.iaujournals.ir/article_536817_3878d528c57f492658673231e63db0dd.pdf
Drought monitoring by combination using of rainfall statistics and Terra / MODIS sensor data
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article
2017
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مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
10
21
http://jbse.iaujournals.ir/article_536818_0cce2c461edfd89e1f4bd2318af609eb.pdf
Detection of Red Grape Clusters Stands using Image Processing and Neural Network in Order to Harvest the Grapes in the Application Robot
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2017
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Detection of Red Grape Clusters Stands using Image Processing and Neural Network in Order to Harvest the Grapes in the Application Robot Akbar Nazari In this study an automatic classification system based on machine vision and artificial neural networks based on color and its components were developed. about 300 grape gardens of the city of Urmia digit image in various conditions from early morning until evening in cloudy weather and sunny, of the prspetron neural network learning algorithm with multiple layers of error propagation as one of the tools of artificial intelligence for the detection and isolation of the image class. the main component of the input network, the average color (R,G,B) pixel images, and at the output of the network is the number one (1) red grape clusters or as the number zero (0) as the non-red grape (leaves, branches and trunk, the sky) was considered finally, after trial and error learning algorithm of neural network and the number of neurons, It became clear that the number of neurons in the hidden layer and 13 a hidden layer and the learning algorithm of the type Trainlm and sigmoid transfer function, neural network with 98% capable to detect and isolate the image class. The results of image analysis suggests the existence of a high accuracy in the classification section of the image. Key words: Grape, Red, Image Processing, Machine Vision, Artificial Intelligence
مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
21
26
http://jbse.iaujournals.ir/article_536613_eadb7f95e285a3d036df68fecc3cb6e3.pdf
Determine the most appropriate method of rice production in northern Iran on the basis of energy
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2017
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Determine the most appropriate method of rice production in northern Iran on the basis of energy Abstract Understanding the ways of energy distribution in the agronomy operation is the great importance in the selection of cropping systems. Rice as the most important crop in the northern provinces of Iran was cultiavate by three methods of traditional, semi-mechanized and mechanized. Present study was designed to evaluate the role of mechanization in rice production in the Guilan province on energy consumption and determine the contribution and consumption of energy in each agricultural operation and inputs. Therefore, by using of questionnaire and person interviews with 40 farmers in four different regions of the Guilan province the information about machines and inputs consumption (seed, fertilizer, toxins and fuel) in traditional and mechanized rice production system togethered. After gathering information, data relating to each system's entered to Excel software and the total amount of energy input and output and indexes energy assessment was calculated based on an energy equivalent (MJ per unit) for each input consumption. The results showed that the highest energy input in both rice production systems is for seedlings preparation and then fertilizer and less energy input is for transplanting. In both culture systems, most direct energy input in rice fields related to fuel and indirect energy input related to nitrogen. The fuel consumption in mechanized system by use of more farming machinery increased than traditional cultivation system. The results showed that the bulk of energy in both systems is related to non-recycle energy. Among the non-recycle energy fertilizer nitrogen in both traditional and mechanized system had the highest value. Evaluation indexs energy showed that the net energy yield for traditional system is 153975/3 MJ ha and 142464/76 MJ ha for mechanized system. In other words, the ratio of energy output to input in traditional and mechanized systems was respectively, 14/48 and 10.72. These results suggest that the energy efficiency of rice production in raditional system is more than mechanized system that it is due to less use of inputs such as fuel, machines and equipment for each unite of production. Keywords: Energy, rice, cultivation, system
مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
27
34
http://jbse.iaujournals.ir/article_536166_120c1552388e520188322f4c34966592.pdf
Energy efficiency improvement and input energy saving in canola production using Data Envelopment Analysis approach
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article
2017
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Abstract The objective of this study was the application of non-parametric method of data envelopment analysis (DEA) to analyze the efficiency of farmers, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy for canola production in Mazandaran province, Iran. This method was used based on six energy inputs including human labor, machinery, diesel fuel, fertilizers, biocide and seed energy and three output of canola (yield). Technical, pure technical, scale and cross efficiencies were calculated using CCR and BCC models for farmers. From this study the following results were obtained: from the total of 52 farmers, considered for the analysis, 0.09 % and 46.15 % were found to be technically and pure technically efficient, respectively. The average values of technical, pure technical and scale efficiency scores of farmers were found to be 0.73, 0.99 and 0.74, respectively. The comparative results of energy indices revealed that by optimization of energy consumption, energy efficiency, energy productivity and net energy with respect to the actual energy use can be increased by 1.29 %, 3.50 % and 0.43 %, respectively. Keywords: analysis Optimization, DEA, CCR and BCC models, Technical efficiency,
مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
35
46
http://jbse.iaujournals.ir/article_536611_c9bc7e8a73166fb3539e966248134a90.pdf
Analysis of Strength and Estimate of the Creep Life in the Cylinder of Combustion Chamber in MF 399 Tractor Diesel Engine using CNG Fuel
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article
2017
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Analysis of Strength and Estimate of the Creep Life in the Cylinder of Combustion Chamber in MF 399 Tractor Diesel Engine using CNG Fuel Reza Jafarzadeh1*, Davood Mohamad Zamani2, Asad Modares Motlagh3, Iirag Ranjbar4 1.M.Sc in Mechanics of Agricultural Machinery Engineering, Islamic Azad University-Takestan Branch 2.Assistant Professor, Islamic Azad University-Takestan Branch 3.Associate Professor, Islamic Azad University-Takestan Branch 4. Associate Professor, Urmia University Abstract: A combined method based on finite element and limit analyses theory is an appropriate and effective procedure to determine the collapse load of a system. This paper describe a technique for computing the lower bound limit collapse load in creep mechanics under plain strain and two dimensional loading conditions. The lower bound limit collapse load in plasticity is computed by assuming a perfectly plastic behavior together with associated flow rule for materials. In this combined method, a linear approximation of yield surface is used and by applying the equilibrium, stress boundary and discontinuity condition and utilizing a suitable optimization technique, the statically admissible stress field is obtained from which a lower safe limit to collapse load is computed. Keywords: Creep Life, Finite Element, Nonlinear Programming, Low Load Risk, Cylinder
مجله مهندسی زیست سامانه
دانشگاه آزاد اسلامی واحد تاکستان
2549-2322
6
v.
1
no.
2017
47
57
http://jbse.iaujournals.ir/article_537378_6252f1e0e52f96519a05e0e7df9d41d8.pdf