SURVEYING VARIOUS EFFECTIVE PARAMETERS ON A Y-SHAPE PARTHYDROFORMING USING FEM AND PROCESS OPTIMIZATION BY NUMERICAL METHODS
Amir Rahimi1*
1 Imam Khomeini Oil Refining Company, Arak, Iran *epartment of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran
ABSTRACT
Tube hydroforming process in order to manufacture complex partsperfectly, for example y-shapes; demands precise loading paths, Otherwise because of complexity of these parts, some deficiencies like wrinkling, bursting or imperfect forming may occur. Finding an effective combination of applied forces depends on repeating experimental experience numerously which in turn needs a lot of time and cost.So using numerical simulations, which are remarkably faster and cheaper than practical experiments, can resolve this problem influentially. In this study firstly a y-shape was modelled using FEA software and then obtained results were compared with experimental ones to verify and confirm the simulation precision. In the next step objective and constraints functions were defined using Neural Network. To do this, simulation was repeated in certain numbers and needed Neural Networks were trained by a statistical model produced using that results.Finally in order to optimize the objective function whichin this study is maximum achievable protrusion height, Genetic Algorithm was employed and optimal internal pressure and axial feedingsacquired to reach the goal.Byutilizing achieved loading paths and repeating the simulation one more time, maximum protrusion height attained without any deficiency.
KEYWORDS
Hydroforming,Y-shape,AxialFeeding, Counterpunch, NeuralNetwork, Genetic Algorithm
Full Text: https://wireilla.com/engg/ijmech/papers/5416ijmech01.pdf
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