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Prediction and optimization of machining forces using oxley’s predictive theory and RSM approach during machining of WHAs

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Defence Technology（防务技术） 2019年第6期15卷 923-935页

作者： chithajalu kiran sagar Tarun Kumar Amrita Priyadarshini Amit Kumar Gupta Mechanical Engineering Department BITS-PilaniHyderabad Campus

Tungsten heavy alloys have come up as one of the best alternatives for high density fragmenting devices and armor piercing *** is mandatory for obtaining the final shapes of such kind of ***,due to high density and elastic stiffness of WHAs,cutting forces will be higher than for most of the metals and alloys;thus,making the machining operation *** machining variable,namely,cutting force components are significantly influenced by the cutting *** paper makes use of Oxley’s predictive analytical model in conjunction with Johnson-Cook constitutive equation to predict forces under different speed and feed combinations during machining of 95 W tungsten heavy *** cutting forces,so predicted by Ml,are considered as input data for the optimization of cutting parameters(cutting speed and feed)using Response Surface Method(RSM).

关键词： Tungsten heavy alloy Machinability Response surface method Oxley’s method

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Unmanned aerial vehicle (UAV)-assisted pesticide application for pest and disease prevention and control in rice

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International Journal of Agricultural and Biological Engineering 2024年第5期17卷 88-95页

作者： Sreenath Ragiman kiran Babu Talluri Varma NRG Vidya sagar B Department of Plant Pathology College of AgricultureRajendranagarProfessor Jayashankar Telangana State Agricultural UniversityHyderabad 500030India Institute of Rice Research ARIProfessor Jayashankar Telangana State Agricultural UniversityHyderabad 500030India

Unmanned Aerial Vehicles (UAVs) have emerged as innovative tools in agriculture, revolutionizing crop protection practices and the use of pesticide combinations to aid the management of insect pests and diseases in a single application. This research delves into assessing the efficacy of drone-based pesticide spraying utilizing combinations of pesticides to combat insect pests and diseases in rice cultivation. In kharif 2022, the physically compatible combination of insecticides (chlorantraniliprole 18.5% SC and tetraniliprole 200 SC) with fungicides (picoxystrobin 7.5%+tricyclazole 22.5% SC and tebuconazole 50%+trifloxystrobin 25% WG) were administered via drones and compared with conventional Taiwan sprayer. The results indicated that tebuconazole+trifloxystrobin, when applied via drones, exhibited the highest control efficacy against the brown spot, sheath blight, and sheath rot (47.8%, 77.4%, and 75.2% respectively). Moreover, combination treatment, i.e., tetraniliprole+(tebuconazole+trifloxystrobin), applied using a drone, achieved the most effective control (78.1%) against grain discoloration. Additionally, drone-based tetraniliprole application showed effectiveness against stem borer and whorl maggot (efficacy rates of 49.1%, 66.6%, and 60.7% for dead hearts, white ear, and whorl maggot, respectively). Overall, the pesticide combination treatment, i.e., tetraniliprole+(tebuconazole+trifloxystrobin), showed higher control efficacy against all the insect pests and diseases and recorded the highest grain yield of 7995 kg/hm2 with an incremental cost-benefit ratio (ICBR) of (1:5.63) when sprayed with a drone. Overall, this study underscores the potential of drone-assisted pesticide application in effectively managing multiple insect pests and diseases in rice, offering superior precision, efficacy, efficiency, and yield.

关键词： bio-efficacy drone spraying drone-based pest management precision agriculture pesticide combinations

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