Long short-term memory based modeling of heat treatment and trigger mechanism effect on thin-walled aluminum 6063 T5 for crashworthiness

References

• Albak, E. İ. 2021. “Crashworthiness Design and Optimization of Nested Structures with a Circumferentially Corrugated Circular Outer Wall and Inner Ribs.” Thin-Walled Structures 167: 108219. https://doi.org/10.1016/j.tws.2021.108219.
   Web of Science ®Google Scholar
• Ali, T., Y. Peng, Z. Jinhao, L. Kun, and Y. Renchuan. 2022. “Crashworthiness Optimization Method for Sandwich Plate Structure Under Impact Loading.” Ocean Engineering 250: 110870. https://doi.org/10.1016/j.oceaneng.2022.110870.
   Web of Science ®Google Scholar
• Baganis, A., M. Bouzouni, and S. Papaefthymiou. 2021. “Phase Field Simulation of aa6xxx Aluminium Alloys Heat Treatment.” Metals 11 (2): 241. https://doi.org/10.3390/met11020241.
   Web of Science ®Google Scholar
• Baykasoğlu, A., C. Baykasoğlu, and E. Cetin. 2020. “Multi-Objective Crashworthiness Optimization of Lattice Structure Filled Thin-Walled Tubes.” Thin-Walled Structures 149: 106630. https://doi.org/10.1016/j.tws.2020.106630.
   Web of Science ®Google Scholar
• Bengio, Y., P. Simard, and P. Frasconi. 1994. “Learning Long-Term Dependencies with Gradient Descent is Difficult.” IEEE Transactions on Neural Networks 5 (2): 157–166. https://doi.org/10.1109/72.279181.
   PubMed Web of Science ®Google Scholar
• Booth, D. N., C. P. Kohar, and K. Inal. 2021. “Multi-objective optimization of a multi-cellular aluminum extruded crush rail subjected to dynamic axial and oblique impact loading conditions.” Thin-Walled Structures 166: 108021. https://doi.org/10.1016/j.tws.2021.108021.
   Web of Science ®Google Scholar
• Bouchaala, A., O. Merroun, and A. Sakim. 2022. “A Mopso Algorithm Based on Pareto Dominance Concept for Comprehensive Analysis of a Conventional Adsorption Desiccant Cooling System.” Journal of Building Engineering 60: 105189. https://doi.org/10.1016/j.jobe.2022.105189.
   Web of Science ®Google Scholar
• Chen, D., Y. Liu, M. Meng, B. Li, X. Sun, B. Yang, and T. Wang. 2023. “Dynamic Axial Crushing Behaviors of Circular Composite Tubes with Different Reinforcing Fibers and Triggers.” International Journal of Mechanical Sciences 244: 108083. https://doi.org/10.1016/j.ijmecsci.2022.108083.
   Web of Science ®Google Scholar
• Chu, H.-H., M. A. Khan, M. Javed, A. Zafar, M. I. Khan, H. Alabduljabbar, and S. Qayyum. 2021. “Sustainable Use of Fly-Ash: Use of Gene-Expression Programming (Gep) and Multi-Expression Programming (Mep) for Forecasting the Compressive Strength Geopolymer Concrete.” Ain Shams Engineering Journal 12 (4): 3603–3617. https://doi.org/10.1016/j.asej.2021.03.018.
   Web of Science ®Google Scholar
• Dadrasi, A., A. Albooyeh, S. Fooladpanjeh, M. D. Shad, and M. Beynaghi. 2020. “Rsm and Ann Modeling of the Energy Absorption Behavior of Steel Thin-Walled Columns: A Multi-Objective Optimization Using the Genetic Algorithm.” Journal of the Brazilian Society of Mechanical Sciences and Engineering 42 (11): 563. https://doi.org/10.1007/s40430-020-02643-5.
   Web of Science ®Google Scholar
• Dadrasi, A., G. A. Farzi, M. Shariati, S. Fooladpanjeh, and V. Parvaneh. 2020. “Experimental Study and Optimization of Fracture Properties of Epoxy-Based Nano-Composites: Effect of Using Nano-Silica by Gep, Rsm, Dtm and Pso.” Engineering Fracture Mechanics 232: 107047. https://doi.org/10.1016/j.engfracmech.2020.107047.
   Web of Science ®Google Scholar
• Dadrasi, A., M. Shariati, G. A. Farzi, and S. Fooladpanjeh. 2022. “Experimental, Modeling, and Optimization Investigation on Mechanical Properties and the Crashworthiness of Thin-Walled Frusta of Silica/Epoxy Nano-Composites: Fuzzy Neural Network, Particle Swarm Optimization/Multivariate Nonlinear Regression, and Gene Expression Programming.” Journal of Materials Engineering and Performance 31 (4): 1–11. https://doi.org/10.1007/s11665-021-06391-y
   Web of Science ®Google Scholar
• Di Benedetto, R., E. Botelho, A. Janotti, A. A. Junior, and G. Gomes. 2021. “Development of an Artificial Neural Network for Predicting Energy Absorption Capability of Thermoplastic Commingled Composites.” Composite Structures 257: 113131. https://doi.org/10.1016/j.compstruct.2020.113131.
   Web of Science ®Google Scholar
• Dilrukshi, L., and G. De Silva. 2020. “Eff Ect of Precipitate Size Distribution on Hardness of Aluminium 6063 Alloy.” Journal of the National Science Foundation of Sri Lanka 48 (3): 305. https://doi.org/10.4038/jnsfsr.v48i3.9524.
   Web of Science ®Google Scholar
• Ferdynus, M., and J. Gajewski. 2022. “Identification of Crashworthiness Indicators of Column Energy Absorbers with Triggers in the Form of Cylindrical Embossing on the Lateral Edges Using Artificial Neural Networks.” Eksploatacja i Niezawodność – Maintenance and Reliability 24 (4): 805–821. https://doi.org/10.17531/ein.2022.4.20.
   Web of Science ®Google Scholar
• Gajewski, J., and D. Vališ. 2021. “Verification of the Technical Equipment Degradation Method Using a Hybrid Reinforcement Learning Trees–Artificial Neural Network System.” Tribology International 153:106618. https://doi.org/10.1016/j.triboint.2020.106618.
   Web of Science ®Google Scholar
• Gao, Q., and W.-H. Liao. 2021. “Energy Absorption of Thin Walled Tube Filled with Gradient Auxetic Structures-Theory and Simulation.” International Journal of Mechanical Sciences 201: 106475. https://doi.org/10.1016/j.ijmecsci.2021.106475.
   Web of Science ®Google Scholar
• Hou, W., P. He, Y. Yang, and L. Sang. 2023. “Crashworthiness Optimization of Crash Box with 3d-Printed Lattice Structures.” International Journal of Mechanical Sciences 247: 108198. https://doi.org/10.1016/j.ijmecsci.2023.108198.
   Web of Science ®Google Scholar
• Hussain, N. N., S. P. Regalla, Y. V. D. Rao, and A. M. Mohammed. 2022. “An Experimental and Numerical Analysis on Influence of Triggering for Composite Automotive Crash Boxes Under Compressive Impact Loads.” International Journal of Crashworthiness 27 (4): 1152–1166. https://doi.org/10.1080/13588265.2021.1914953.
   Web of Science ®Google Scholar
• Hwang, S.-F., C.-Y. Wu, and H.-K. Liu. 2021. “Crashworthiness of Aluminum-Composite Hybrid Tubes.” Applied Composite Materials 28 (2): 409–426. https://doi.org/10.1007/s10443-020-09851-1.
   Web of Science ®Google Scholar
• Jiménez-Armendáriz, J., M. Jimenez-Martinez, J. Varela-Soriano, A. Santana Diaz, and R. Perez Santiago. 2023. “Energy Dissipation Enhancement of Thin-Walled 6063 T5 Aluminium Tubes by Combining a Triggering Mechanism and Heat Treatment.” Metals 13 (5): 922. https://doi.org/10.3390/met13050922.
   Web of Science ®Google Scholar
• Kazi, M.-K., F. Eljack, and E. Mahdi. 2022. “Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ann techniques.” Composite Structures 279: 114858. https://doi.org/10.1016/j.compstruct.2021.114858.
   Web of Science ®Google Scholar
• Keshtegar, B., T. Nguyen-Thoi, T. T. Truong, and S.-P. Zhu. 2021. “Optimization of Buckling Load for Laminated Composite Plates Using Adaptive Kriging-Improved Pso: A Novel Hybrid Intelligent Method.” Defence Technology 17 (1): 85–99. https://doi.org/10.1016/j.dt.2020.02.020.
   Web of Science ®Google Scholar
• Khan, R. A., and E. Mahdi. 2023. “Effect of Trigger Mechanisms on the Quasi-Static Axial Crushing Behavior of Glass Epoxy/Polyvinyl Chloride Hybrid Composite Tubes.” Thin-Walled Structures 182:110306. https://doi.org/10.1016/j.tws.2022.110306.
   Web of Science ®Google Scholar
• Kohar, C. P., A. Zhumagulov, A. Brahme, M. J. Worswick, R. K. Mishra, and K. Inal. 2016. “Development of High Crush Efficient, Extrudable Aluminium Front Rails for Vehicle Lightweighting.” International Journal of Impact Engineering 95: 17–34. https://doi.org/10.1016/j.ijimpeng.2016.04.004.
   Web of Science ®Google Scholar
• Kumar, N. S., G. Pramod, P. Sadashiva, M. Samrat, and M. Sadashiva. 2022. “A Critical Review on Heat Treatment of Aluminium Alloys.” Materials Today: Proceedings 58: 71–79. https://doi.org/10.1016/j.matpr.2021.12.586.
   Google Scholar
• Liang, R., X. Liu, Y. Hu, C. Jiang, and C. Bastien. 2023. “A Methodology to Investigate and Optimise the Crashworthiness Response of Foam-Filled Twelve Right Angles Thin-Walled Structures Under Axial Impact.” Composite Structures 310: 116736. https://doi.org/10.1016/j.compstruct.2023.116736.
   Web of Science ®Google Scholar
• Li, Q., E. Li, T. Chen, L. Wu, G. Wang, and Z. He. 2021. “Improve the Frontal Crash- Worthiness of Vehicle Through the Design of Front Rail.” Thin-Walled Structures 162: 107588. https://doi.org/10.1016/j.tws.2021.107588.
   Web of Science ®Google Scholar
• Lin, C.-M., T.-L. Le, and T.-T. Huynh. 2018. “Self-Evolving Function-Link Interval Type-2 Fuzzy Neural Network for Nonlinear System Identification and Control.” Neurocomputing 275: 2239–2250. https://doi.org/10.1016/j.neucom.2017.11.009.
   Web of Science ®Google Scholar
• Nian, Y., S. Wan, M. Li, and Q. Su. 2020. “Crashworthiness Design of Self-Similar Graded Honeycomb-Filled Composite Circular Structures.” Construction and Building Materials 233: 117344. https://doi.org/10.1016/j.conbuildmat.2019.117344.
   Web of Science ®Google Scholar
• Özbek, Ö., Ö. Y. Bozkurt, and A. Erkliğ. 2022. “Development of a Trigger Mechanism with Circular Cut-Outs to Improve Crashworthiness Characteristics of Glass Fiber-Reinforced Composite Pipes.” Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 (1): 1–14. https://doi.org/10.1007/s40430-021-03304-x.
   Web of Science ®Google Scholar
• Patel, S., V. R. Vusa, and C. G. Soares. 2019. “Crashworthiness Analysis of Polymer Composites Under Axial and Oblique Impact Loading.” International Journal of Mechanical Sciences 156: 221–234. https://doi.org/10.1016/j.ijmecsci.2019.03.038.
   Web of Science ®Google Scholar
• Pirmohammad, S., and S. Esmaeili-Marzdashti. 2019. “Multi-Objective Crashworthiness Optimization of Square and Octagonal Bitubal Structures Including Different Hole Shapes.” Thin-Walled Structures 139:126–138. https://doi.org/10.1016/j.tws.2019.03.004.
   Web of Science ®Google Scholar
• Ponticelli, G. S., S. Guarino, O. Giannini, F. Tagliaferri, S. Venettacci, and F. Trovalusci. 2020. “Aluminium Foam Production Control by Using a Combined Fuzzy- Genetic Algorithm Model.” Procedia CIRP 88: 503–508. https://doi.org/10.1016/j.procir.2020.05.087.
   Google Scholar
• Rahmanpanah, H., S. Mouloodi, C. Burvill, S. Gohari, and H. M. Davies. 2020. “Prediction of Load-Displacement Curve in a Complex Structure Using Artificial Neural Networks: A Study on a Long Bone.” International Journal of Engineering Science 154: 103319. https://doi.org/10.1016/j.ijengsci.2020.103319.
   Web of Science ®Google Scholar
• Rogala, M., and J. Gajewski. 2023. “Crashworthiness Analysis of Thin-Walled Square Columns with a Hole Trigger.” Materials 16 (11): 4196. https://doi.org/10.3390/ma16114196.
   PubMed Web of Science ®Google Scholar
• Rogala, M., J. Gajewski, and M. Ferdynus. 2020. “The Effect of Geometrical Non-Linearity on the Crashworthiness of Thin-Walled Conical Energy-Absorbers.” Materials 13 (21): 4857. https://doi.org/10.3390/ma13214857.
   PubMed Web of Science ®Google Scholar
• Sak, H., A. W. Senior, and F. Beaufays. 2014. “Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling.”
   Google Scholar
• Sarabia, L. A., M. C. Ortiz, and M. S. Sánchez. 2020. “Response Surface Methodology.”
   Google Scholar
• Singla, P., M. Duhan, and S. Saroha. 2022. “Different Normalization Techniques as Data Preprocessing for One Step Ahead Forecasting of Solar Global Horizontal Irradiance .” In Artificial Intelligence for Renewable Energy Systems, Edited by D. Ashutosh Kumar, N. Sushil Kumar , A. Lal Srivastav, K. Abhishek and V. García-Díaz, 209–230. San Francisco, US: Elsevier.
   Google Scholar
• Sofuoğlu, H., and S. Çam. 2021. “Coupled Effect of Thickness Optimization and Plastic Forming History on Crashworthiness Performance of Thin-Walled Square Tube.” The International Journal of Advanced Manufacturing Technology 117 (9–10): 2935–2948. https://doi.org/10.1007/s00170-021-07865-y.
   Web of Science ®Google Scholar
• Song, Z., H. Liang, H. Ding, and M. Ma. 2023. “Structure Design and Mechanical Properties of a Novel Anti-Collision System with Negative Poisson’s Ratio Core.” International Journal of Mechanical Sciences 239: 107864. https://doi.org/10.1016/j.ijmecsci.2022.107864.
   Web of Science ®Google Scholar
• Wang, W., S. Dai, W. Zhao, and C. Wang. 2022. “Optimal Design of Variable Gradient Tube Under Axial Dynamic Crushing Based on Hybrid Tssa–Grnn Method.” Structural and Multidisciplinary Optimization 65 (1): 1–16. https://doi.org/10.1007/s00158-021-03105-9.
   Web of Science ®Google Scholar
• Wang, Z., X. Jin, Q. Li, and G. Sun. 2020. “On Crashworthiness Design of Hybrid Metal-Composite Structures.” International Journal of Mechanical Sciences 171: 105380. https://doi.org/10.1016/j.ijmecsci.2019.105380.
   Web of Science ®Google Scholar
• Williams, B., and S. Cremaschi. 2021. “Novel Tool for Selecting Surrogate Modeling Techniques for Surface Approximation.” In Computer Aided Chemical Engineering, Edited by M. Türkay and R. Gani, 451–456. Istanbul, Turkey: Elsevier.
   Google Scholar
• Yi, Z., H. Si-Yuan, L. Jia-Gui, Z. Wei, G. Xiao-Lu, and Y. Jin. 2019. “Density gradient tailoring of aluminum foam-filled tube.” Composite Structures 220: 451–459. https://doi.org/10.1016/j.compstruct.2019.04.026.
   Web of Science ®Google Scholar
• Yu, L., X. Gu, L. Qian, P. Jiang, W. Wang, and M. Yu. 2021. “Application of Tailor Rolled Blanks in Optimum Design of Pure Electric Vehicle Crashworthiness and Lightweight.” Thin-Walled Structures 161: 107410. https://doi.org/10.1016/j.tws.2020.107410.
   Web of Science ®Google Scholar