Fatigue failure analysis of washing machine top frame under cyclic loading – an investigative study in mitigating market complaint

Sohail Hasnain; Muhammad  Mansoor Uz Zaman Siddiqui; Adeel Tabassum; Syed Haider Raza Naqvi; Asad A. Naqvi

doi:10.36561/ING.27.10

Autores

Sohail Hasnain NED University of Engineering and Technology, Pakistán https://orcid.org/0009-0005-2970-2908
Muhammad Mansoor Uz Zaman Siddiqui University of Engineering and Technology Lahore, Pakistán https://orcid.org/0009-0007-8992-7601
Adeel Tabassum National University of Sciences and Technology, Pakistán https://orcid.org/0009-0006-9375-1090
Syed Haider Raza Naqvi University of Engineering and Technology Lahore, Pakistán https://orcid.org/0009-0000-4565-2043
Asad A. Naqvi NED University of Engineering and Technology, Pakistán https://orcid.org/0000-0001-6290-3115

DOI:

https://doi.org/10.36561/ING.27.10

Palavras-chave:

Análise de elementos finitos, Mecânica de fratura, Comportamento de fratura, Fadiga, Modelagem, Simulações, Medições de tensão-deformação

Resumo

Este documento de estudo analisa os mecanismos de integridade estrutural e falhas dos quadros superiores da máquina de lavar, com o objetivo de melhorar a durabilidade e a confiabilidade dos aparelhos domésticos. Regiões críticas propensas a falhas de fadiga foram identificadas usando o software SolidWorks. A análise de estresse e a análise de deformação revelaram as áreas propensas a falhas, mas, ao avaliar os custos associados ao projeto de novos moldes para o design modificado e executar o cálculo do ponto de equilíbrio, decidimos seguir uma abordagem de usar um material alternativo que não causará nenhuma mudança no molde existente. O policarbonato (PC) com reforço de fibra de vidro de 50% de comprimento foi investigado para melhorar a resistência à fadiga. Um novo quadro superior desse material foi fabricado junto com o material de material existente. Os testes em uma máquina de simulador de porta demonstraram uma melhoria considerável na durabilidade, com a estrutura superior baseada em PC demonstrando um aumento de 1128% na resistência ao ciclo sobre a contraparte do ABS. A estrutura superior composta de ABS quebrou após 297 ciclos e PC com quadro superior de fibra de vidro de 50% de comprimento quebrou após 3697 ciclos. Esses achados destacam o significado da otimização sistemática do projeto e da seleção de materiais para garantir o desempenho e a segurança a longo prazo nos quadros superiores da máquina de lavar.

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Referências

M. T. A. Ansari, K. K. Singh, and M. S. Azam, “Fatigue damage analysis of fiber-reinforced polymer composites—A review,” J. Reinf. Plast. Compos., vol. 37, no. 9, pp. 636–654, 2018, doi: 10.1177/0731684418754713.

J. S. Jeong, J. H. Sohn, C. J. Kim, and J. H. Park, “Dynamic analysis of top-loader washing machine with unbalance mass during dehydration and its validation,” J. Mech. Sci. Technol., vol. 37, no. 4, pp. 1675–1684, 2023, doi: 10.1007/s12206-023-0309-9.

J. Gao and Y. Yuan, “Probabilistic modeling of stiffness degradation for fiber reinforced polymer under fatigue loading,” Eng. Fail. Anal., vol. 116, no. July, p. 104733, 2020, doi: 10.1016/j.engfailanal.2020.104733.

C. C. Kuo, N. Gurumurthy, and S. H. Hunag, “Fatigue Behavior of Rotary Friction Welding of Acrylonitrile Butadiene Styrene and Polycarbonate Dissimilar Materials,” Polymers (Basel)., vol. 15, no. 16, 2023, doi: 10.3390/polym15163424.

A. A. Naqvi, Z. Awan, and A. A. Shaikh, “Effects of Graphite Flakes on the Material and Mechanical Properties of Polystyrene Membranes,” J. Test. Eval., vol. 51, no. 5, 2023, doi: 10.1520/JTE20220409.

A. Zahoor, A. A. Naqvi, F. A. Butt, G. R. Zaidi, and M. Younus, “Effect of graphene oxide on polyvinyl alcohol membrane for textile wastewater treatment,” Membr. Water Treat., vol. 13, no. 3, pp. 121–128, 2022.

Z. Awan, A. A. Naqvi, Z. Shahid, F. A. Butt, and F. Raza, “Synthesis and Characterization of Graphene sheets from graphite powder by using ball milling,” Rev. UIS Ing., vol. 21, no. 3, pp. 71–76, 2022, doi: 10.18273/revuin.v21n3-2022006.

A. Fajri, A. R. Prabowo, N. Muhayat, D. F. Smaradhana, and A. Bahatmaka, “Fatigue analysis of engineering structures: State of development and achievement,” Procedia Struct. Integr., vol. 33, no. C, pp. 19–26, 2021, doi: 10.1016/j.prostr.2021.10.004.

George Antaki and R. Gilada, “Design Basis Loads and Qualification,” in Design Basis Loads and Qualification. In Nuclear Power Plant Safety and Mechanical Integrity. doi: https://doi.org/10.1016/B978-0-12-417248-7.00002-3.

Y. Murakami, T. Takagi, K. Wada, and H. Matsunaga, “Essential structure of S-N curve: Prediction of fatigue life and fatigue limit of defective materials and nature of scatter,” Int. J. Fatigue, vol. 146, p. 106138, 2021, doi: 10.1016/j.ijfatigue.2020.106138.

P. A. P. M. Ciavarella, D’antuono, “On the connection between Palmgren-Miner rule and crack propagation laws M.,” Fatigue Fract. Eng. Mater. Struct., 2018, doi: https://doi.org/10.1111/ffe.12789.

A. D. Cho, R. A. Carrasco, and G. A. Ruz, “A RUL Estimation System from Clustered Run-to-Failure Degradation Signals,” Sensors, vol. 22, no. 14, pp. 1–29, 2022, doi: 10.3390/s22145323.

N. Tengtrairat, W. L. Woo, P. Parathai, D. Rinchumphu, and C. Chaichana, “Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models,” Sensors, vol. 22, no. 14, 2022, doi: 10.3390/s22145161.

J. L. de M. Vieira et al., “Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time,” Energies, vol. 17, no. 6, pp. 1–17, 2024, doi: 10.3390/en17061430.

Y. Zhang, “Support vector machine classification algorithm and its application,” Commun. Comput. Inf. Sci., vol. 308 CCIS, no. PART 2, pp. 179–186, 2012, doi: 10.1007/978-3-642-34041-3_27.

M. I. Vawda, R. Lottering, O. Mutanga, K. Peerbhay, and M. Sibanda, “Comparing the Utility of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) on Sentinel-2 MSI to Estimate Dry Season Aboveground Grass Biomass,” Sustain., vol. 16, no. 3, 2024, doi: 10.3390/su16031051.

N. Vidakis, M. Petousis, A. Maniadi, E. Koudoumas, M. Liebscher, and L. Tzounis, “Mechanical properties of 3D-printed acrylonitrile-butadiene-styrene TiO2 and ATO nanocomposites,” Polymers (Basel)., vol. 12, no. 7, pp. 1–16, 2020, doi: 10.3390/polym12071589.

V. R. Sastri, “Other Polymers: Styrenics, Silicones, Thermoplastic Elastomers, Biopolymers, and Thermosets,” in Plastics in Medical Devices (Third Edition), 2022, pp. 287–342. doi: https://doi.org/10.1016/B978-0-323-85126-8.00007-2.

K. Ravi-Chandar, J. Lu, B. Yang, and Z. Zhu, “Failure mode transitions in polymers under high strain rate loading,” Int. J. Fract., vol. 101, no. 1–2, pp. 33–72, 2000, doi: 10.1023/a:1007581101315.

S. F. Siddiqui, F. Irmak, A. A. Fasoro, and A. P. Gordon, “Torsional Fatigue Failure of Additively Manufactured Stainless Steel of Reduced Specimen Size,” Jom, vol. 72, no. 1, pp. 440–447, 2020, doi: 10.1007/s11837-019-03842-9.

Q. Z. Fang, T. J. Wang, H. G. Beom, and H. M. Li, “Effect of cyclic loading on tensile properties of PC and PC/ABS,” Polym. Degrad. Stab., vol. 93, no. 8, pp. 1422–1432, 2008, doi: 10.1016/j.polymdegradstab.2008.05.022.

A. D. Hassan, A. A. Nassar, and M. A. Mareer, “Comparative and assessment study of torsional fatigue life for different types of steel,” SN Appl. Sci., vol. 1, no. 11, pp. 1–11, 2019, doi: 10.1007/s42452-019-1390-7.

E. Correa Gómez, G. M. Domínguez Almaraz, and J. C. Verduzco Juárez, “Crack initiation and propagation on CT specimens of two polymers (ABS and PMMA), under cyclic constant displacement loading,” Theor. Appl. Fract. Mech., vol. 100, no. October 2018, pp. 55–64, 2019, doi: 10.1016/j.tafmec.2018.12.013.