Material Selection for Unmanned Aerial Vehicles (UAVs) Wings Using Ashby Indices Integrated with Grey Relation Analysis Approach Based on Weighted Entropy for Ranking

Main Article Content

Alya I. Al-Taie
Qasim M. Doos

Abstract

The designer must find the optimum match between the object's technical and economic needs and the performance and production requirements of the various material options when choosing material for an engineering application. This study proposes an integrated (hybrid) strategy for selecting the optimal material for an engineering design depending on design requirements. The primary objective is to determine the best candidate material for the drone wings based on Ashby's performance indices and then rank the result using a grey relational technique with the entropy weight method. Aluminum alloys, titanium alloys, composites, and wood have been suggested as suitable materials for manufacturing drone wings. The requirements for designing a drone's wings are to make them as light as possible while meeting the stiffness, strength, and fracture toughness criteria. The conclusion indicates that Carbon Fiber-Reinforced Polymer (CFRP) is the best material for producing drone wings. In contrast, wood and aluminum alloys were the cheapest materials when the design had to be inexpensive.

Article Details

How to Cite
“Material Selection for Unmanned Aerial Vehicles (UAVs) Wings Using Ashby Indices Integrated with Grey Relation Analysis Approach Based on Weighted Entropy for Ranking” (2023) Journal of Engineering, 29(07), pp. 189–200. doi:10.31026/j.eng.2023.07.12.
Section
Articles

How to Cite

“Material Selection for Unmanned Aerial Vehicles (UAVs) Wings Using Ashby Indices Integrated with Grey Relation Analysis Approach Based on Weighted Entropy for Ranking” (2023) Journal of Engineering, 29(07), pp. 189–200. doi:10.31026/j.eng.2023.07.12.

Publication Dates

References

Al-Mendwi, K.A.K., 2009. Computer Aided Selection of Materials by Use of Ashby’s Charts (CASMAC): A Balance State by Dimensionless Ranking. Mech. Nucl. Eng. 3(4), pp. 1-12.

Patil, A. N., Bhale, N.G.P., Raikar N., and Prabhakaran, M., 2017. Car Selection Using Hybrid Fuzzy AHP and Grey Relation Analysis Approach. Int. J. Performability Engr. 13(5), pp. 569-57. Doi:10.23940/ijpe.17.05.p2.569576

Ashby, M. F., Cebon, D., Brechet, Y.J.M., and Salvo, L., 2004. Selection strategies for materials and processes. Materials and Design 25(03), pp. 51–67. Doi: 10.1016/S0261-3069(03)00159-6.

Balachandran, A., Karelia, D., and Challa, J., 2014. Material Selection for Unmanned Aerial Vehicle. Int. J. Mech. Engineering Technol, 5(8), pp. 34-40.

Delibaş, H., Uzay, Ç., and Geren, N., 2017. Advanced material selection technique for high strength and lightweight spur gear design. European Mechanical Science. 1(4), pp. 133-140. Doi:10.26701/ems.352444

Doos, Q.M., Hussain, I.Y., Al‐Sahb, W.A., and Abdullah, O.I., 2023. Frictional material selection of dry clutch disc based on the weighted factor and finite element methods. Heat Transfer. (8), pp. 1-21. Doi:10.1002/htj.22806

Duryat, R.S., 2020. The screwdriver: A basic review on design and material selection. AIP Conference Proceedings, 2262,(1), P. 040005. Doi:10.1063/5.0016431

ElFaham, M.M., Mostafa, A.M., and Nasr, G.M., 2020. Unmanned aerial vehicle (UAV) manufacturing materials: Synthesis, spectroscopic characterization and dynamic mechanical analysis (DMA). Journal of Molecular Structure, 1201, P. 127211. Doi:10.1016/j.molstruc.2019.127211

Erzaij, K.R., and Bidan, A.S., 2016. Management Model for Evaluation and Selection of Engineering Equipment Suppliers for Construction Projects in Iraq. Journal of Engineering, 22(6), pp. 1-16.

Kumar, A., and Kumar, M., 2019. Implementation of analytic hierarchy process (AHP) as a decision-making tool for selection of materials for the robot arm. International Journal of Applied Engineering Research, 14(11), pp. 2727-2733.

Maidin, N.A., Sapuan, S.M., Mastura, M.T., and Yusoff, M.M., 2022. Material selection of natural fibre using a grey relational analysis (GRA) approach. BioResources, 17(1), pp. 109-131. Doi:10.15376/biores.17.1.109-131

Mehmood, Z., Haneef, I., and Udrea, F., 2018. Material selection for Micro-Electro-Mechanical-Systems (MEMS) using Ashby's approach. Materials & Design, 157(1), pp. 412-430. Doi:10.1016/j.matdes.2018.07.058

Mohammed, F.M. 2017. Mechanical properties investigation of composite material under different parameters variations. Al-Khwarizmi Engineering Journal, 13(1), pp. 74-83. Doi.org/10.22153/kej.2017.09.001

Moradian, M., Modanloo, V., and Aghaiee, S., 2019. Comparative analysis of multi criteria decision making techniques for material selection of brake booster valve body. Journal of Traffic and Transportation Engineering (English Edition), 6(5), pp. 526-534. Doi:10.1016/j.jtte.2018.02.001

Najam, H., Bal, B., and Unal, R., 2018. Material Selection for Knee Exoskeleton Frame. The International Conference on Materials Science, Mechanical and Automotive Engineerings and Technology, Çeşme/İZMİR.

Özcan, S., and Çelik, A.K., 2021. A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey. International Journal of Production Management and Engineering, 9(2), pp. 81-92. Doi:10.4995/ijpme.2021.14734

Sarraf, F., and Nejad, S.H., 2020. Improving performance evaluation based on balanced scorecard with grey relational analysis and data envelopment analysis approaches: Case study in water and wastewater companies. Evaluation and Program Planning, 79, pp. 101762. Doi:10.1016/j.evalprogplan.2019.101762

Uddin, M. 2020. Drone 101: A Must Have Guide For Any Drone Enthusiast. NY, USA: Amazon Kindle.

Vatansever, K., and Akgűl, Y., 2018. Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies. Decision Science Letters, 7(2), pp. 119-130. Doi:10.5267/j.dsl.2017.6.005

Wu, D., Wang, N., Yang, Z., Li, C., 2018. Comprehensive Evaluation of Coal-Fired Power Units Using Grey Relational Analysis and a Hybrid Entropy-Based Weighting Method. Entropy, 20(4), P. 215. Doi:10.3390/e20040215

Yu, J., 2018. Design and optimization of wing structure for a fixed-wing unmanned aerial vehicle (UAV). Modern Mechanical Engineering, 8(4), pp. 249-263. Doi: 10.4236/mme.2018.84017

Zhu, Y., Tian, D., and Yan, F., 2020. Effectiveness of Entropy Weight Method in Decision-Making. Mathematical Problems in Engineering 2020, P. 3564835. Doi:10.1155/2020/3564835

Similar Articles

You may also start an advanced similarity search for this article.