Main Article Content
EQUAL CHANNEL ANGULAR ROLLING (ECAR) IS A SEVERE PLASTIC DEFOR-MATION (SPD) PROCESS IN ORDER TO ACHIEVE ULTRAFINE-GRAINED (UFG) STRUCTURE. IN THIS PAPER, THE MECHANICAL PROPERTIES OF ECAR PROCESS USING ARTIFICIAL NEURAL NETWORK (ANN) AND NONLINEAR REGRESSION HAVE BEEN ILLUSTRATED. FOR THIS PURPOSE, A MULTILAYER PERCEPTRON (MLP) BASED FEED-FORWARD ANN HAS BEEN USED TO PREDICT THE MECHANICAL PROPERTIES OF ECARED AL5083 SHEETS. CHANNEL OBLIQUE ANGLE, NUMBER OF PASSES AND THE ROUTE OF FEEDING ARE CONSIDERED AS ANN INPUTS AND TENSILE STRENGTH, ELONGATION AND HARDNESS ARE CONSIDERED AS THE OUTPUTS OF ANN. IN ADDITION, THE RELATIONSHIP BETWEEN INPUT PARAMETERS AND MECHANICAL PROPERTIES WERE EXTRACTED SEPARATELY USING NONLINEAR REGRESSION METHOD. COMPARING THE OUTPUTS OF MODELS AND EXPERIMENTAL RESULTS SHOWS THAT MODELS USED IN THIS STUDY CAN PREDICT AND ESTIMATE MECHANICAL PROPERTIES APPROPRIATELY. WHERE, THE PERFORMANCE OF ANN MODEL IS BETTER THAN THE CORRELATIONS TO PREDICT MECHANICAL PROPERTIES. FINALLY, THE DEVELOPED OUTPUTS OF NEURAL NETWORK MODEL ARE USED TO ANALYZE THE EFFECTS OF INPUT PARAMETERS ON TENSILE STRENGTH, ELONGATION AND HARDNESS OF ECARED AL5083 SHEETS.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License [CC BY] that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).