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AMA, Agricultural Mechanization in Asia, Africa and Latin America

AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)

Submission Deadline
10 Feb 2023 (Vol - 54 , Issue- 02 )
Upcoming Publication
03 Feb 2023 (Vol - 54 , Issue 01 )

Aim and Scope :

AMA, Agricultural Mechanization in Asia, Africa and Latin America

AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:

Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering

Oil Palm FFB Productivity Data Assessment for Selection of Evacuating Machine

Paper ID- AMA-09-09-2021-10702

Palm oil production starts with fresh fruit bunch (FFB) harvesting and evacuation in the field. Time to evacuate the FFB is crucial as it could affect the quality of the oil produced. Thus, an infield evacuation machine is required. The selection of machinery is vital to fit the operation conditions and to optimise the return of investment. One way of machinery evaluation is through a productivity-based approach, where actual operating data is used to conduct the assessment. This study evaluated the performance of three machines, the three-wheel, hydra- porter and mini-tractor, for FFB evacuation. Evaluation in the field indicated that hydra-porter provided higher efficiency and lower operating cost despite the high capital cost. At least 20% difference in efficiency and operating cost reduction were achieved compared to the other two technologies tested in the selected sites. Besides, it required only a single operator for the task with higher productivity. In general, machinery for oil palm is an essential investment for field operation. Therefore, a systematic assessment of technologies to be adopted in operation is a prerequisite decision. Substantial operational data need to be made available for automation in the data-driven industry.

Discrete Element Simulation Modeling and Parameter Calibration of Sunflower Seeds Based on Stacking Tests

Paper ID- AMA-07-09-2021-10699

In order to solve the problem of the lack of intrinsic sunflower seed parameters and contact parameters between sunflower seeds and sunflower mechanized planting and harvesting equipment when simulating and analyzing the key working processes of sunflower seed sowing and harvesting using the discrete element method, 1013, SH361 and SH363 were used as the objects of this study. Based on the triaxial size and volume distribution of the sunflower seed geometric model, a discrete element model of the sunflower seed was established using a 3D scanning inversion modelling technique and the "Hertz-Mindlin (no- slip)" contact model was selected. The physical properties of the sunflower seeds were determined by physical tests and the static and rolling friction coefficients of the sunflower seeds were calibrated using the Plackett-Burman test, the steepest climb test and the Box-Behnken test. The best combinations of parameters were the coefficient of static friction and rolling friction between 1013 seeds are 0.30 and 0.03 respectively SH361 is 0.34 and 0.02 SH363 is 0.41 and 0.03. Other non-significant parameters are set to intermediate levels. The research results show that the sunflower seeds model and the calibrated discrete element simulation parameters are reliable, which can provide references for the sunflower seeds discrete element simulation research.

Effect of Process Parameters on Ratio of Material Removal Rate to Electrode Wear Rate when PMEDM SKD11 Tool Steel

Paper ID- AMA-07-09-2021-10698

This paper introduces a study on the optimization of powder mixing discharge machining (PMEDM) of cylindrical parts made of SKD11 tool steel. In this study, many main input parameters, including the powder concentration, the powder size, the pulse on time, the pulse off time, the servo current, and the servo voltage were taken into account. Besides, the Taguchi method was used to design and analyze the experimental results. The influence of the input process parameters on the ratio of the material removal speed (MRS) to the electrode wear rate (EWR) was analyzed. Finally, the optimal input parameters to obtain the maximum ratio of MRS to EWR were proposed.

Three-objective Optimization of PMEDM Process for Machining SKD11 Tool Steel

Paper ID- AMA-07-09-2021-10697

This paper presents the results of a study on three-objective optimization when powder-mixing discharge machining (PMEDM) of SKD11 tool steel cylindrical parts. Three single-objective functions were selected for this problem. They are the minimum surface roughness (SR), the maximum material removal speed (MRS), and the minimum electrode wear rate (EWR). Besides, six main input parameters including the powder concentration, the powder size, the pulse on time, the pulse off time, the servo current, and the servo voltage were inves-tigated. In addition, the Taguchi method and Gray Relational Analysis (GRA) were used to design and analyze the experimental results. Finally, optimal input parameters to achieve the minimum SR, the maximum MRS, and the minimum EWR simultaneously have been suggested.

Multi-Objective Optimization of PMEDM Process for Minimum Surface Roughness and Minimum Electrode Wear Rate when Machining SKD11 Tool Steel

Paper ID- AMA-07-09-2021-10696

In this paper, a study on multi-objective optimization when powder-mixing discharge machining (PMEDM) of cylindrical parts made of SKD11 steel is conducted to achieve the minimum surface roughness (SR) and the speed minimum electrode wear rate (EWR). To solve this problem, an experiment was conducted with the use of the Taguchi method for design and the gray relational analysis (GRA) method to analyze the results. In addition, six input parameters including powder concentration, powder size, pulse generation time, pulse off time, servo current and voltage were taken to study their effect on SR and EWR. Moreover, optimal input parameters to achieve the minimum SR and minimum EWR simultaneously have been proposed.