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.
WOS Indexed (2026)
07 May 2026 (Vol - 57 , Issue- 05 )
31 May 2026 (Vol - 57 , Issue 05 )
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
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Influences of Dressing Parameters on Wheel Wear in Internal Cylindrical Grinding Operation
An important factor in the internal cylindrical grinding process (ICGP) is grinding wheel wear (Gw). One of the important factors affecting the Gw value is the dressing parameters. Thus, this work inspected the impact of dressing parameters on the Gw value in the ICGP using the Taguchi method. The implemented experiments considered the L16(44x22) orthogonal array on an internal cylindrical grinding machine. The selected process parameters are dressing feed rate (S), rough dressing times (nr), fine dressing times (nf), rough dressing depth (ar), fine dressing depth (af), and non-feeding dressing (nnon). Based on the Taguchi method, the impact of these input on the Gw value in the ICGP was calculated. The impact level of nr on Gw value is the biggest (equivalent to its influence level is 55.08%). Then, another important influencing factor for Gw was found to be nnon with 17.78%. The smallest influencing factor on Gw is S. In addition, the optimal dressing parameters has been determined. The optimal dressing mode for the minimize Gw value includes one times the rough dressing with a cutting depth of 0.025 mm/stroke, two times the fine dressing with a cutting depth of 0.015 mm/stroke, two times the non-feeding dressing and a feed rate of 1.2 m/min.
Design of Tobacco Growing Strip Fertilizer Machine and Experimental Research on Its Fertilizer Guide Structure
Aiming at the problem of poor tobacco growth quality caused by uneven fertilization during tobacco planting, this paper designs an optimized tobacco planting ditch fertilizer machine, which can simultaneously complete the ditching and fertilization process before tobacco planting. In order to make the fertilizer guide structure achieve uniform delivery, the speed, outer diameter, and pitch of the fertilizer guide structure are used as the changing factors, and the fertilizer guide uniformity of the fertilizer guide structure is used as the index. EDEM simulation analysis is used to optimize the parameters of the fertilizer guide structure. Through EDEM simulation analysis and field test verification, it is concluded that the outer diameter of the screw (with the inner diameter unchanged) has the greatest influence on the uniformity of the discharge of the fertilizer guide structure. And under the design parameters of this article, when the outer diameter is 80mm, the pitch is 30mm, the screw inner diameter is 30mm, and the sleeve inner diameter is 110mm, the discharge uniformity of the fertilizer guide structure is the best.
Studying the Impacts of Process Parameters on the Cost of Blasting Process Using Boron Carbide Nozzle
The aims of this study are to find out an optimum set of data minimizing cleaning cost for the abrasive blasting system with a boron carbide nozzle. In this study, the nozzle wear rate per hour, the time for changing a nozzle, the compressive power were chosen as the input parameters to optimize for finding the maximum nozzle lifetime as well as the minimum cleaning cost. A screening experiment is developed. The results show that the compressive power has the dominant effect on the cleaning cost, while two remaining process parameters have minor impacts on the response. The cleaning cost maximizes of 4.108 USD/m2 at the nozzle wear rate per hour of 10-3 mm/h, the time for changing a nozzle of 10 min, and the compressive power of 1030 kW.
Impacts of Dressing Parameters on Material Removal Rate when Conducting Internal Grinding of Hardened SKD11 Steel
Dressing process has significant effects on the grinding operations when considering the profile accuracy, the topography, and the grinding wheel wear. This study aims to optimize the internal grinding process of hardened SKD11 steel to find the optimum set of dressing parameters that can maximize material removal rate. The input parameters used are Coarse dressing depth, Number of coarse dressing, Fine dressing depth, Number of Fine dressing, Non-feeding dressing, and Dressing feed speed. Taguchi method is utilized to plan experiments for validating predictions. It is found that the number of coarse dressing has the most influential value of 65.83% on the MRR. Moreover, the consistency between the predictions and experiments is confirmed by the Anderson- Darling checking method. It can be drawn that the proposed method can be further applied in other studies.
An Experimental Study of the Influence of CBN Dressing Parameters when Convex Shaped Grinding SKD11 Tool Steel
The aim of this study is to obtain the optimum set of dressing parameters which can generate minimum surface roughness when carrying grinding process of SKD11 hardened steel by CBN grinding wheel. The selected input parameters are dressing depth, dressing feed rate and dressing spindle. The optimization process is validated by experiments planned to be tested by using Taguchi method. It is found that the dressing depth has the largest effect on the surface roughness, and the influential percentage is 74.37%. Followed are the influences of the dressing feed rate and the dressing spindle speed with 13.07% and 6.28%, respectively. Additionally, it is revealed that the differences between the experiments and the predictions are minor when showing the deviation of 8.06%. The experimental results showed that it is possible to employ Taguchi method to study experiments and predictions in case of grinding SKD11 hardened steel by CBN grinding wheel.