Hussein Abdelmoneam lectures at AMI
Dr.Hussein Mohamed Abdelmoneam presented a lecture on selection and modeling and prediction of stripper die component tool life in dies compound on last week.
Knowledge based system (KBS) approach is used for selection of size of stripper. The knowledge base is constructed through coding of production rules of IF-THEN variety in Auto LISP language. Technique used contained a link between the 3D model of the stripper with ANN, which is trained by the results of FEA program.
Dr. Abdelmoneam also present a presentation on selection, modeling and prediction of life of stripper of compound die.
In this presentation he informed, compound dies are widely used for production of pierced blanks with high accuracy.
Moreover, he informed, stripper is one of the major components of a compound die. The selection, modeling and prediction of life of stripper of compound die are presented. Knowledge based system (KBS) approach is used for selection of size of stripper. The knowledge base is constructed through coding of production rules of IF-THEN variety in Auto LISP language.
Further, a CAD system is developed for automatic modeling of stripper of compound die. This CAD system works in conjunction with the KBS developed for selection of stripper. An artificial neural network (ANN) model is developed for prediction of life of stripper. Various factors affecting life of stripper are investigated through FEM analysis and the critical simulation values are determined.
In addition, he said the proposed ANN model is trained by using FEM simulation results. The proposed work is tested successfully on different sheet metal parts taken from stamping industries. A sample run is also demonstrated in this presentation.
Dr. Abdelmoneam is currently working as assistant professor in Institute of Advanced Manufacturing, KSU.
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