Premium
Optimization of Fine Hydro‐Blanking
Author(s) -
Wang JangPing,
Huang GuoMing,
Lee HsienDer,
Chen ChihChun,
Chen TeTsun,
Chen ChiaLing
Publication year - 2013
Publication title -
steel research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.603
H-Index - 49
eISSN - 1869-344X
pISSN - 1611-3683
DOI - 10.1002/srin.201200255
Subject(s) - blanking , taguchi methods , injector , genetic algorithm , process (computing) , work (physics) , finite element method , artificial neural network , structural engineering , engineering , mechanical engineering , materials science , computer science , mathematical optimization , mathematics , composite material , artificial intelligence , operating system
Optimization of the process of the fine hydro‐blanking is proposed. In this approach, the V‐ring indenter carved on the work piece substitutes for the guide plate that is used by the conventional fine blanking and is pressurized by hydraulic pressure. In addition, the counter force is also replaced by hydraulic pressure to produce a uniform back‐pressure by acting as the ejector. To find the final optimal solution, the Taguchi‐FE method is adopted to simulate and find the optimal factors according to the Taguchi technology. Once the optimal factors were chosen, a hybrid system that combined the artificial neural network (ANN) with the genetic algorithm (GA) is used to search and find the final optimal solution. It was observed that the V‐ring cavity on the work‐piece has the same efficacy as conventional fine blanking. In addition, the results of the experiment and finite element simulation using the optimal factors were compared. It was found that the study could achieve its stated objectives.