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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.

Submission Deadline
24 Nov 2022 (Vol - 53 , Issue- 11 )
Upcoming Publication
30 Nov 2022 (Vol - 53 , Issue 11 )

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:

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
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering

Model-free adaptive control design for chaotic systems via Type-2 recurrent wavelet fuzzy Brain Emotional Learning Networks

Paper ID- AMA-10-09-2021-10705

This paper introduces an optimal model named Self-Organizing Type-2 Recurrent Wavelet Fuzzy Brain Emotional Learning Network controller (SET2RWFBELNC) with self-evolving algorithm to gain optimal structure from zero initial rule, which merges Interval Type-2 Recurrent Wavelet Fuzzy System and Brain Emotional Learning Network(BELN). As an ideal controller, SET2RWFBELNC not only solves the problem of less information between master and slave systems, but also reduces the influence of external disturbance on synchronization of chaotic systems. Consequently, one model-free adaptive sliding mode controller based on SET2RWFBELNC, sliding model theory, and the asymptotic stability of the synchronization error is realized by robust compensation, in which the strong compensation used for the compensation of the network error. Besides, the Lyapunov function improves the stability of the model. Finally, simulation results of the chaotic system presented in this paper show the superiority of this method.

Optimization Study on Ratio of Surface Roughness to Material Removal Speed when PMEDM SKD11 Tool Steel

Paper ID- AMA-09-09-2021-10704

This paper presents the results of an optimization study on powder-mixed electrical discharge machining (PMEDM) when machining cylindrical parts made of SKD11 tool steel. The objective of this study was to investigate the influence of main process parameters on the ratio of the surface roughness (SR) to the material removal speed (MRS). To do that, an experiment was conducted. Also, the Taguchi method in Minitab 19 software was used to design and analyze the experimental results. The influence of the input process parameters, including the powder concentration, the powder size, the pulse on time, the pulse off time, the servo current, and the servo voltage on the ratio between SR and MRS was evaluated. Furthermore, the optimal input parameters to achieve the minimum ratio of SR to MRS were found.

Experiment and analysis of compressive mechanical behavior and creep characteristics for apples

Paper ID- AMA-09-09-2021-10703

The compressive mechanical behavior and creep behavior of Fuji apple were studied under the same agroecological conditions. The compression test results showed that the order of the factors affecting the damage force, stiffness and deformation energy were loading rate, storage time and compression position. The loading rate and storage time showed an extremely significant effect on damage force and stiffness (P<0.01), which also showed a significant effect on deformation energy (P<0.05). The loading position showed a significant effect on damage force and stiffness (P<0.05). The creep test results showed that the four-element Burgers model had the highest mean fitting degree. The initial elasticity coefficient, delayed elasticity coefficient and viscosity coefficient all showed a downward trend with the increase of storage time, while the delay time showed an upward trend with the increase of storage time. Moreover, the creep parameters showed a significant or an extremely significant correlation relationship.

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.