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Lionel FOURMENT,Richard DUCLOUX,Stephane MARIE,Mohsen EJDAY,Dominique MONNEREAU,Thomas MASSE,Pierre MONTMITONNET 한국소성가공학회 2010 기타자료 Vol.2010 No.6
The use of material processing numerical simulation allows a strategy of trial and error to improve virtual processes without incurring material costs or interrupting production and therefore save a lot of money, but it requires user time to analyze the results, adjust the operating conditions and restart the simulation. Automatic optimization is the perfect complement to simulation. Evolutionary Algorithm coupled with metamodelling makes it possible to obtain industrially relevant results on a very large range of applications within a few tens of simulations and without any specific automatic optimization technique knowledge. Ten industrial partners have been selected to cover the different area of the mechanical forging industry and provide different examples of the forming simulation tools. It aims to demonstrate that it is possible to obtain industrially relevant results on a very large range of applications within a few tens of simulations and without any specific automatic optimization technique knowledge. The large computational time is handled by a metamodel approach. It allows interpolating the objective function on the entire parameter space by only knowing the exact function values at a reduced number of “master points”. Two algorithms are used: an evolution strategy combined with a Kriging metamodel and a genetic algorithm combined with a Meshless Finite Difference Method. The later approach is extended to multi-objective optimization. The set of solutions, which corresponds to the best possible compromises between the different objectives, is then computed in the same way. The population based approach allows using the parallel capabilities of the utilized computer with a high efficiency. An optimization module, fully embedded within the Forge2009 IHM, makes possible to cover all the defined examples, and the use of new multi-core hardware to compute several simulations at the same time reduces the needed time dramatically. The presented examples demonstrate the method versatility. They include billet shape optimization of a common rail, the cogging of a bar and a wire drawing problem.
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Advanced Numerical methods for F. E. Simulation of Metal Forming Processes
Jean-Loup Chenot,Marc Bernacki,Lionel Fourment,Richard Ducloux 한국소성가공학회 2010 기타자료 Vol.2010 No.6
The classical scientific basis for finite element modeling of metal forming processes is first recalled. Several developments in advanced topics are summarized: adaptive and anisotropic remeshing, parallel solving, multi material deformation. More recent researches in numerical analysis are outlined, including multi grid and multi mesh methods, mainly devoted to decrease computation time, automatic optimization method for faster and more effective design of forming processes. The link of forming simulation and structural computations is considered with emphasis on the necessity to predict the final mechanical properties. Finally a brief account of computation at the micro scale level is given.
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