Abstract
A new optimization algorithm for combined processes of deep-drawing and ironing has been created in order to improve these types of axisymmetric components manufacturing procedures. The model provides a comprehensive analysis of those phenomena occurring in multi-stage processes of axisymmetric geometry work-pieces. The scientific development starts out from works that provide LDR (limiting drawing ratio) solutions based on normal anisotropy value, strain hardering exponent and others parameters which have just been applied to the drawing and redrawing stages so far. The authors extend this work to the ironing stages, and also provide a global and integral scientific solution for the whole process. At the beginning the algorithm provides an initial solution which is afterwards optimized by means of objective functions and constraints. The resolution of the optimization process is carried out by a recursive function that minimizes the total time of the global process. The enhanced solution performs a significant reduction in time and costs of the process. The model allows the modification and correction of certain process variables in order to predict the impact of those that are not fully controllable. The final results are compared using experimental results obtained by the authors, so as to show the reliability of the complete solution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Leu DK. The limiting drawing ratio for plastic instability of the cup drawing process. Journal of Materials Processing Technology 1999; 86: 168-176.
Sonis P, Venkata N, Lal GK. On multistage deep drawing of axisymmetric components. Journal of Manufacturing Science and Engineering 2003; 125: 352-362.
Ramirez FJ, Domingo R. Application of an aided system to multi-step deep drawing process in the brass pieces manufacturing. American Institute of Physics Proceedings 2010, 1181: 370-379.
Ramirez FJ, Domingo R, Sebastian MA (2009) “Design of an Aided System to Optimise Times and Costs in Deep Drawing Process”, Proc. 2nd IPROMS International Researchers Symposium, Vol 1, pp. 191-196.
Lange K. Handbook of Metal Forming. McGraw-Hill Book Company, 1985.
Kalpakjian S, Schmid SR. Manufacturing, Engineering and Technology. Prentice-Hall, 2007.
Chung SY, Swift SH. An experimental investigation into the re-drawing of cylindrical shells. Proceedings Institute of Mechanical Engineering 1975, 1B: 437-447.
Colgan M, Monaghan J. Deep drawing process: analysis and experiment. Journal of Materials Processing Technology 2003, 132: 35-41
Rahul K, Sanjay C. An improved model for predicting limiting drawing ratio. Journal of Materials Processing Technology 2005, 172: 218-224.
Agrawal A, Venkata N, Dixit PM. Determination of optimum process parameters for wrinkle free products in deep drawing process. Journal of Materials Processing Technology 2007, 191: 51-54.
Sebastian MA, Sanchez-Perez AM. Diseño asistido por ordenador de los útiles para la embutición profunda de piezas cilíndricas huecas. E.T.S.I.I, UPM: Madrid, 1980.
Padmanabhan R, Oliveira MC, Alves JL, Menezes LF. Influence of process parameters on the deep drawing of stainless steel. Finite Elements in Analysis and Design 2007, 43: 1062-1067.
Ramirez FJ, Domingo R, Sebastian, MA (2010) “Deep Drawing Tool for E-learning: A didactic approach for manufacturing engineering education”, Proc. IEEE International Conference EDUCON, IEEE Education Society, Madrid, 14-16 April 2010. In edition.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this paper
Cite this paper
Ramírez, F., Domingo, R., Sebastián, M. (2010). An Optimization Algorithm for Improving Combined Multi-Stage Deep-Drawing and Ironing Processes of Axisymmetric Components. Analysis and Experimentation. In: Hinduja, S., Li, L. (eds) Proceedings of the 36th International MATADOR Conference. Springer, London. https://doi.org/10.1007/978-1-84996-432-6_14
Download citation
DOI: https://doi.org/10.1007/978-1-84996-432-6_14
Publisher Name: Springer, London
Print ISBN: 978-1-84996-431-9
Online ISBN: 978-1-84996-432-6
eBook Packages: EngineeringEngineering (R0)