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WOS Indexed (2023)
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 Kongzhi yu Juece/Control and Decision 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)
04 Jun 2023 (Vol - 54 , Issue- 06 )
31 May 2023 (Vol - 54 , 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 Asia Life Sciences Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley 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
Industrial Engineering Teikyo Medical Journal Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics
Industrial and Commercial Design International Medical Journal Technology Reports of Kansai University Asia Life Sciences Open Access Journals Tobacco Science and Technology
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Tobacco Science and Technology Teikyo Medical Journal International Medical Journal Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Technology Reports of Kansai University
Chemical Engineering Open Access Journals Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics Azerbaijan Medical Journal
Food Engineering 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) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Kongzhi yu Juece/Control and Decision
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.
Effects of Dressing Parameters on Material Removal Rate in Grinding of Hardened SKD11 Alloy Steel using CBN Wheel
In the grinding process, the dressing plays a vital role in ensuring the topography and performance of the grinding wheel. This study examines the effect of some critical parameters of dressing on material removal rate in grinding SKD 11 alloy steel using CBN wheels. The Taguchi method is used to organize experiments as well as provide statistical analysis. The dressing parameters chosen are the dressing depth, the dressing spindle speed, and the dressing feed rate. The CBN grinding wheel was dressed in a condition with three levels of the dressing depth (from 0.01 to 0.03 mm), three levels of the dressing spindle speed (from 500 to 2000 rpm), and three levels of the dressing feed rate (from 100 to 800 mm/min). The optimum conditions of the dressing have been achieved for the maximum material removal rates. Along with that, an analysis of variance (ANOVA) was performed to assess the appropriateness of the empirical model. The results show that the dressing spindle speed is the parameter that has the greatest influence on MRR, followed by the dressing depth.
Study on Effects of Process Parameters of WEDM to Surface Roughness when Machining SKD11 Steel
This research is to determine the influence of the process parameters when machining SKD11 steel and proposes the optimized technical conditions to minimum surface roughness (Ra) in WEDM (Wire Electrical Discharge Machining) process. Process parameters such as cutting voltage (VM), pulse on time (Ton), pulse off time (Toff), servor voltage (SV), wire feed (WF) and cutting speed (SPD) were investigated as input variables. To find out the optimized paramaters, Taguchi method was used to design experimental plans. With this method, 18 experimental runs were conducted with six above process parameters. The experimental results show that surface roughness (Ra) is minimum with optimized parameter set as follows: SPD = 4 m/min, Ton = 6 s; Toff = 16 s; SV = 34 V; WF = 10 mm/min and VM = 6 V. The deviation value between calculation and experiment is 9.29 %.