Parametric Optimization in Hydroforming of Nimonic 90 Sheet using Cuckoo Search and Particle Swarm Optimization
Parametric Optimization in Hydroforming of Nimonic 90 Sheet using Cuckoo Search and Particle Swarm Optimization |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-11 |
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| Year of Publication : 2023 | ||
| Author : J. Fakrudeen Ali Ahamed, Pandivelan Chinnaiyan |
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| DOI : 10.14445/22315381/IJETT-V71I11P216 | ||
How to Cite?
J. Fakrudeen Ali Ahamed, Pandivelan Chinnaiyan, "Parametric Optimization in Hydroforming of Nimonic 90 Sheet using Cuckoo Search and Particle Swarm Optimization," International Journal of Engineering Trends and Technology, vol. 71, no. 11, pp. 148-158, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I11P216
Abstract
Hydroforming is used to create parts that are difficult in metal forming. Nimonic 90 sheet operates well at high temperatures and pressures, making it appropriate for aerospace, processing, and industrial applications such as liquefied gas storage, turbine blades, fasteners, etc. This study investigated the optimization of process parameters like pressure, blank holder force and thickness in the hydroforming of Nimonic 90 sheet. In accordance with the standard ASTM E8/E8M, the mechanical properties of Nimonic 90 sheets have been obtained by uniaxial tensile test. The sheet hydroforming process was first simulated using the Finite Element Analysis (FEA) and then validated using experimental data for the maximum pressure required for material failure. Since fully experimental or simulation designs are impractical, the design of experiments using the Box-Behnken Design (BBD) was used to investigate the process parameters. Cuckoo search and particle swarm optimization algorithms were used to predict optimized process parameters to achieve maximum deformation. Validation of the optimized solution is done using FEA and experimentation. Formability is measured by the Forming Limit Diagram (FLD), and maximum deformation is achieved without cracking and wrinkling. The findings revealed that the Cuckoo Search algorithm (CS) gives better results for the optimized process parameters in the formability of the Nimonic 90 sheet. The optimum solution predicted by the CS algorithm is less than 5% deviations from the optimal process parameters, demonstrating the best solution's resilience.
Keywords
Formability, Sheet hydroforming, Nimonic 90, Design of experiments, Particle Swarm Optimization, Cuckoo search algorithm.
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