Digital logic and knowledge-based system for the automotive piston material selection

2012 ◽  
Vol 6 (2/3/4) ◽  
pp. 134
Author(s):  
M.A. Maleque ◽  
A. Arifutzzaman
Author(s):  
David Potočnik ◽  
Miran Ulbin ◽  
Bojan Dolšak

This paper presents a knowledge-based system capable of giving the designer quality support when making decisions from the aspect of modeling the reinforcement of a plate-press within a position of maximum compressive load, and by choosing suitable material for the plate. Based on the selected combination of reinforcement and material, this system acquaints the user with the size and position of the largest comparative stress, and the greatest nodal displacement in the load-direction. This system operates based on the implemented knowledge of experts in the execution of design, material selection, and numerical analysis based on the finite-element method (FEM), which was written with the help of parameters within the knowledge-base of the CATIA V5 CAD-system. Using this system gives the user an opportunity to reach conclusions that are crucial for designing a plate-press or pressure-loaded die-elements, in general. The results reveal that the system can dramatically shorten design time and improve design quality in comparison to manual design process.


1993 ◽  
Vol 62 (1-3) ◽  
pp. 662-668 ◽  
Author(s):  
P. Robinson ◽  
A. Matthews ◽  
K.G. Swift ◽  
S. Franklin

1991 ◽  
Vol 4 (2) ◽  
pp. 95-102 ◽  
Author(s):  
Hans-Jörg Bullinger ◽  
Joachim Warschat ◽  
Dietmar Fischer

2013 ◽  
Vol 7 (3) ◽  
pp. 200-213 ◽  
Author(s):  
Ahmad Mayyas ◽  
Mohammed A. Omar ◽  
Abdel Raouf Mayyas ◽  
Ala Qattawi ◽  
Qin Shen

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