Browsing by Keyword "Metal casting"
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Item Analysis and Control of Induced Stress in Cast Parts(European Investment Casters’ Federation, 2009-05) Meléndez, Antton; Anglada, EvaThe objective of this work is to provide an overview about the current possibilities of the application of thermo-structural simulation in the metal casting process, using a commercial casting software. It explores the potential benefits and identifies the main difficulties.Item Metamodels’ Development for High Pressure Die Casting of Aluminum Alloy(2021-10-31) Anglada, Eva; Boto, Fernando; García de Cortazar, Maider; Garmendia, Iñaki; CIRMETAL; Tecnalia Research & Innovation; FACTORYSimulation is a very useful tool in the design of the part and process conditions of high pressure die casting (HPDC), due to the intrinsic complexity of this manufacturing process. Usually, physics-based models solved by finite element or finite volume methods are used, but their main drawback is the long calculation time. In order to apply optimization strategies in the design process or to implement online predictive systems, faster models are required. One solution is the use of surrogate models, also called metamodels or grey-box models. The novelty of the work presented here lies in the development of several metamodels for the HPDC process. These metamodels are based on a gradient boosting regressor technique and derived from a physics-based finite element model. The results show that the developed metamodels are able to predict with high accuracy the secondary dendrite arm spacing (SDAS) of the cast parts and, with good accuracy, the misrun risk and the shrinkage level. Results obtained in the predictions of microporosity and macroporosity, eutectic percentage, and grain density were less accurate. The metamodels were very fast (less than 1 s); therefore, they can be used for optimization activities or be integrated into online prediction systems for the HPDC industry. The case study corresponds to several parts of aluminum cast alloys, used in the automotive industry, manufactured by high-pressure die casting in a multicavity mold.Item Performance of Optimization Algorithms in the Model Fitting of the Multi-Scale Numerical Simulation of Ductile Iron Solidification(Multidisciplinary Digital Publishing Institute (MDPI), 2020) Anglada, Eva; Meléndez, Antton; Obregón, Alejandro; Villanueva, Ester; Garmendia, IñakiThe use of optimization algorithms to adjust the numerical models with experimental values has been applied in other fields, but the efforts done in metal casting sector are much more limited. The advances in this area may contribute to get metal casting adjusted models in less time improving the confidence in their predictions and contributing to reduce tests at laboratory scale. This work compares the performance of four algorithms (compass search, NEWUOA, genetic algorithm (GA) and particle swarm optimization (PSO)) in the adjustment of the metal casting simulation models. The case study used in the comparison is the multiscale simulation of the hypereutectic ductile iron (SGI) casting solidification. The model fitting criteria is the value of the tensile strength. Four different situations have been studied: model fitting based in 2, 3, 6 and 10 variables. Compass search and PSO have succeeded in reaching the error target in the four cases studied, while NEWUOA and GA have failed in some cases. In the case of the deterministic algorithms, compass search and NEWUOA, the use of a multiple random initial guess has been clearly beneficious.Item Rapid simulation models for aluminium furnaces design(2017-07-04) Anglada, Eva; Vicario, Iban; de Landia, Leonor; Mendizabal, Gorka; Toledo, Nagore; CIRMETAL; PROMETALThe minimisation of energy consumption in aluminium metal casting industries requires an appropriate design of the furnaces to reduce as possible the heat losses through the walls. Detailed simulation models have been developed that allow the in-depth study of furnace behaviour, but these models are too complex and slow for some industrial necessities. To make possible a fast evaluation during preliminary phases more agile models are needed. This agility may be achieved by simplified models, but the results could be affected by a lack of accuracy. The work presented hereafter shows how the steady state analysis of the furnace walls with simplified models of finite elements may give sufficiently accurate and fast results. The simulation models have been validated against experimental results, thus confirming their ability to adequately reproduce the thermal behaviour of the walls of several furnaces regardless of their composition or heating system.Item Simplified Models for High Pressure Die Casting Simulation(2015) Anglada, Eva; Meléndez, Antton; Vicario, Iban; Arratibel, Ernesto; Cangas, Gaizka; CIRMETAL; Tecnalia Research & Innovation; PROMETALThe simulation of the High Pressure Die Casting (HPDC) process is a complex type of simulation. The industrial procedure is based on consecutive manufacturing cycles that must be taken into account in the simulation. Moreover the part geometries use to be complex and the alloy is injected at really high velocities. All of that usually implies long calculation times that in complex cases can lead to several days. Sometimes, the circumstances require to have available a fast solution despite involve a loss of accuracy. The work presented hereafter discusses different possibilities to simplify the HPDC simulation models together with their benefits and drawbacks. The simplified simulation models have been validated against a detailed 3D simulation model, previously correlated with experimental results. The comparative, shows that the use of simplified models may be a solution that makes possible a big reduction in calculation times maintaining a reasonable level of accuracy.Item Succesful applications in castings using ProCAST Inverse Module(ESI Group, 2006-10) Anglada, Eva; Meléndez, AnttonAdjustment of the metal casting simulation model by means of inverse methods.