Guiding Innovations: Optimizing Sheet Hydroforming of Nimonic 90 through Brown Bear Optimization and Evaporation Water Cycle Algorithms

J, Fakrudeen Ali Ahamed; N, Murali; M.Vaishta, Rohan.

doi:10.22068/ijiepr.37.3.2598

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‎ 10.22068/ijiepr.37.3.2598

Guiding Innovations: Optimizing Sheet Hydroforming of Nimonic 90 through Brown Bear Optimization and Evaporation Water Cycle Algorithms

Fakrudeen Ali Ahamed J¹

, Murali N²

, Rohan. M.Vaishta³

1- Lecturer, Mechanical & Industrial Section, College of Engineering and Technology, University of Technology and Applied Sciences- Nizwa, P.O. Box 477, Sultanate of Oman , fakrudeen.ahamed@utas.edu.om
2- Lecturer, Mechanical & Industrial Section, College of Engineering and Technology, University of Technology and Applied Sciences- Nizwa, P.O. Box 477, Sultanate of Oman
3- Tooling Engineer

Abstract: (108 Views)

Sheet hydroforming is a type of hydroforming in which complex designs are formed from sheet metal using high-pressure fluids. It is a viable alternative to standard stamping or deep drawing, particularly where high precision, fewer tool components, or intricate shapes are required. Optimisation techniques are among the most promising strategies for dealing with real-world situations that involve many goals and limitations. This research proposes a method for optimizing process parameters to achieve good formability in sheet hydroforming of Nimonic 90 alloy using brown bear optimisation and the evaporation water cycle algorithm. The best results achieved through optimization techniques are validated by numerical simulation and experimentally. The outcomes achieved show that brown bear optimisation predicts the best optimal process parameters in maximising deformation and good formability of nimonic 90 alloy in sheet hydroforming.

Keywords: Sheet Hydroforming, Nimonic 90, Forming limit diagram, Formability, Brown bear optimization, Evaporation based water cycle algorithm.

Full-Text [PDF 721 kb] (41 Downloads)

Type of Study: Research | Subject: Optimization Techniques
Received: 2025/10/27 | Accepted: 2026/06/13