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

Authors

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

Keywords:

Finite element analysis, Fracture mechanics, Fracture behavior, Fatigue, Modelling, Simulations, Stress-Strain measurements

Abstract

This study paper looks into the structural integrity and failure mechanisms of washing machine top frames, with the goal of improving household appliance durability and reliability. Critical regions prone to fatigue failure were identified using SolidWorks software. Stress analysis and deformation analysis revealed the failure prone areas but upon assessing the costs associated with designing new molds for modified design and performing the breakeven calculation, we decided to go with an approach of using an alternate material which will not cause any change in existing mold. Polycarbonate (PC) with 50% long glass fiber reinforcement, were investigated to improve fatigue resistance. A new top frame of this material was made along with existing material ABS. Testing on a door simulator machine demonstrated a considerable improvement in durability, with the PC-based top frame demonstrating a 1128% increase in cycle endurance over the ABS counterpart. Top frame made up of ABS broke after 297 cycles and PC with 50% long glass fiber top frame broke after 3697 cycles. These findings highlight the significance of systematic design optimization and material selection for assuring long-term performance and safety in washing machine top frames.

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References

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.