A payload based detail study on design and simulation of hexacopter drone

Shelare, Sagar D.; Belkhode, Pramod; Nikam, Keval Chandrakant; Yelamasetti, Balram; Gajbhiye, Trupti

doi:10.1007/s12008-023-01269-w

Cited by 19 publications

(12 citation statements)

References 70 publications

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“…The intelligent irrigation system monitors various parameters that influence irrigation efficacy and dispenses the appropriate amount of water necessary for optimal plant growth and development [36,37]. The control action is contingent upon the result, thereby enabling the preservation of the intended output state while assessing the input conditions to ascertain the most favorable course of action [38,39]. The data collected by sensors is often used as the basis for the judgments, which are then compared to the intended set points [40].…”

Section: Figure 1 Categorize Of Irrigation Systemmentioning

confidence: 99%

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Bhoyar,

Kanojia,

Chourasia

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The practice of agriculture is heavily reliant on the implementation of irrigation systems. Technology improvements have made it unnecessary to rely on someone else to perform irrigation when we are out and whenever crops need to be watered. Many researchers have attempted to autonomously irrigate crops, but difficulties with accuracy, timing, and cost are rarely addressed and given top priority. The proposed approach employs a real-time sensor, wireless sensor network, the adaptive bacterial foraging optimization (ABFO) algorithm, and a fuzzy irrigation system control to achieve autonomous watering, thereby enabling smart irrigation. This method reduces waste while preserving the container’s water supply. Automated irrigation determines whether crops need to be watered by considering the type of crop, the weather, and the soil moisture and not soil moisture alone. The need for water is calculated using the three aforementioned criteria and fuzzy control drives the automation. Using an arduino-based IoT circuitry, the bioinspired model with algorithm adaptive bacterial foraging optimization, generates the optimized values for three parameters, which are then used by fuzzy logic control to predict the watering requirements of the plants. In terms of accuracy, timeliness, and cost, the suggested approach is advantageous. With this model, it is now possible to completely automate the irrigation system.

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Section: Figure 1 Categorize Of Irrigation Systemmentioning

confidence: 99%

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Bhoyar,

Kanojia,

Chourasia

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The motor force is called thrust, which pushes the quadcopter up. Each motor on the quadcopter makes a different amount of thrust [27], which is given by Equation ( 5):…”

Section: Thrust and Performance Calculationsmentioning

confidence: 99%

“…As per the thrust produced, the power obtained per motor is given by Equation ( 6), as per the previous work [27].…”

Section: Thrust and Performance Calculationsmentioning

confidence: 99%

Optimal Design of Quadcopter Chassis Using Generative Design and Lightweight Materials to Advance Precision Agriculture

Balayan,

Mallick,

Dwivedi

et al. 2024

Machines

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This research addresses the imperative challenge of a lightweight design for an Unmanned Aerial Vehicle (UAV) chassis to enhance the thrust-to-weight and power-to-weight ratios, crucial for optimal flight performance, focused on developing an intriguing lightweight yet robust quadcopter chassis. Advanced generative design techniques, integrated with topology optimization, using Autodesk Fusion 360 software (v. 16.5. 0.2083), 3D-printing methods and lightweight materials like Polylactic Acid (P.L.A.), Acrylonitrile Butadiene Styrene (A.B.S.), and Nylon 6/6 play a significant role in achieving the desired balance between structural integrity and weight reduction. The study showcases successful outcomes, presenting quadcopter chassis designs that significantly improve structural efficiency and overall performance metrics. The findings contribute to aerial robotics and hold promise for precision agriculture applications with relevant performed simulations, emphasizing the importance of tailored design methodologies for other engineering domains. In conclusion, this research provides a foundational step toward advancing drone technology, with weight reductions of almost 50%, P/W and T/W ratios increment of 6.08% and 6.75%, respectively, at least an 11.8% increment in Factor of Safety, at least a 70% reduction in stress values and reduced manufacturing time from its comparative DJI F450 drone, demonstrating the critical role of innovative design approaches in optimizing operational efficiency for targeted applications.

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“…It is also required to avoid any mechanical failure and minimisation of the need for prototypes (Bhavikatti, 2005, Finite element analysis, New Age International, New Delhi, India). The analysis of deformations and fatigue stresses of multi-rotor UAVs are carried out in Nandwana et al(2021) and Shelare et al (2023). It is observed that the most sensitive portions for deformation and fatigue stresses are its arms and the region that connects the arm with the base frame.…”

Section: Introductionmentioning

confidence: 99%

“…The analysis of deformations and fatigue stresses of multi-rotor UAVs are carried out in Nandwana et al. (2021) and Shelare et al. (2023).…”

Section: Introductionmentioning

confidence: 99%

Design of hexacopter and finite element analysis for material selection

Raut,

Jadhav,

Jadhav

2023

IJIUS

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PurposeThe purpose of this study is to offer a better and more effective hexacopter design for a 3 kg payload using finite element analysis (FEA), facilitating the use of different materials for different components that too without compromising strength.Design/methodology/approachA 3D computer-aided design (CAD) model of a hexacopter with a regular hexagonal frame is presented. Furthermore, a finite element model is developed to perform a structural analysis and determine Von Mises stress and strain values along with deformations of different components of the proposed hexacopter design.FindingsThe results establish that carbon fibre outperforms acrylonitrile butadiene (ABS) with respect to deformations. Within the permissible limits of the stress and strain values, both carbon fiber and ABS are suggested for different components. Thus, a proposed hexacopter offers lighter weight, high strength and low cost.Originality/valueThe use of different materials for different components is suggested by making use of static structural analysis. This encourages new research work and helps in developing new applications of hexacopter, and it has never been reported in literature. The suggested materials for the components of the hexacopter will prove to be suitable considering weight, strength and cost.

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A payload based detail study on design and simulation of hexacopter drone

Cited by 19 publications

References 70 publications

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Optimal Design of Quadcopter Chassis Using Generative Design and Lightweight Materials to Advance Precision Agriculture

Design of hexacopter and finite element analysis for material selection

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