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Comparative Study of Analytical Expressions to Estimate the Deep Drawing Force of Cylindrical and Rectangular Parts

[+] Author Affiliations
Aarón Rivas Menchi, Hugo I. Medellín Castillo, Dirk F. de Lange

Universidad Autónoma de San Luis Potosí, SLP, México

Pedro de J. García Zugasti

Instituto Tecnológico de San Luis Potosí, SLP, México

Paper No. IMECE2016-67273, pp. V002T02A057; 10 pages
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 2: Advanced Manufacturing
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5052-7
  • Copyright © 2016 by ASME


The deep drawing process has been widely used in the industry because it eliminates costly operations such as welding and machining. However, there are many parameters involved that affect the quality of the final products. One of the main parameters of the deep drawing process is the maximum deep drawing force (DDF) or drawing load, which is the maximum force required to perform a particular deep drawing operation. This maximum DDF is needed to define the required capacity of the press, and to calculate the deep drawing work and the process efficiency. Several analytical expressions to estimate the maximum DDF have been proposed in the literature, particularly for cylindrical parts. However, few research works have focused on analyzing the prediction performance of these expressions.

In this paper, the performance of different analytical expressions to estimate the maximum DDF of cylindrical and rectangular parts, is evaluated and compared. Initially, several expressions proposed by different researches for the maximum DDF of cylindrical parts are presented. Then, these expressions are transformed into new expressions for the maximum DDF of rectangular parts by using different concepts of equivalency, such as the equivalent diameter concept. Finally, the prediction performance of all the expressions for both cylindrical and rectangular deep drawing is analysed and compared using experimental data from the literature. The performance is evaluated in terms of the prediction error. The results have suggested that the analytical expressions involving the largest number of parameters have a superior prediction performance than the analytical expressions involving less parameters.

Copyright © 2016 by ASME
Topics: Machining , Welding , Stress , Errors



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