Jernej Šenveter (Author), Jože Balič (Author), Mirko Ficko (Author), Simon Klančnik (Author)

Abstract

This paper describes sheet metal bending in two stages as well as predicting and testing of the final bend angle by means of a feed-forward neural network. The primary objective was to research the technological parameters of bending sheet metal in two stages and to develop an intelligent method that would enable the predicting of those technological parameters. The process of bending sheet metal in two stages is presented by demonstrating the various technological parameters and the test tool used to carry out tests and measurements. The results of the tests and measurements were of decisive guidance in the evaluation of individual technological parameters. Developed method for prediction of the final bend angle is based on a feed-forward neural network that receives signals at the input level. These signals then travel through the hidden level to the output level, where the responses to input signals are received. The input to the neural network is composed of data that affect the selection of the final bend angle. Only five different inputs are used for the total neural network. By choosing the desired final bend angle by means of the trained neural network, bending sheet metal in two stages is optimised and made more efficient.

Keywords

upogibanje v dveh stopnjah;inteligentni sistemi;nevronske mreže;bending in two stages;intelligent system;neural network;prediction of the final bend angle;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
UDC: 004.896:621.981
COBISS: 19735062 Link will open in a new window
ISSN: 1330-3651
Views: 790
Downloads: 406
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Other data

Secondary language: Croatian
Secondary title: Predviđanje tehnoloških parametara savijanja lima u dvije faze pomoću usmjerene neuronske mreže
Secondary abstract: Članak prikazuje savijanje lima u dvije faze i predviđanje konačnog kuta savijanja pomoću usmjerene neuronske mreže. Glavni cilj je bio istražiti tehnološke parametre savijanja lima u dvije faze i razviti inteligentan način, koji će omogućiti predviđanje tih tehnoloških parametara. Prikazan je proces savijanja lima u dvije faze, gdje se prikazuju i razni tehnološki parametri i ispitni alati sa kojima su provedena ispitivanja i mjerenja. Rezultati ispitivanja i mjerenja su bili ključ u donošenju procjene pojedinih tehnoloških parametara. Opisano je predviđanje konačnog kuta savijanja lima korištenjem usmjerene neuronske mreže, koja prima signale na ulazu. Ti signali tada prolaze kroz skrivenu razinu do izlaza, gdje dobiju odgovor na ulazne signale. Za ulaz u neuronsku mrežu upotrebljavaju se podaci koji utječu na odabir kuta konačnog savijanja. Za neuronsku mrežu se koristi pet različitih inputa. Odabirom željenog kuta savijanja pomoću neuronske mreže, može se doprinijeti optimizaciji savijanja lima u dvije faze.
Secondary keywords: upogibanje v dveh stopnjah;inteligentni sistemi;nevronske mreže;napovedovanje končnega kota upogiba;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 1155-1161
Volume: ǂVol. ǂ23
Issue: ǂno. ǂ4
Chronology: Aug. 2016
DOI: 10.17559/TV-20141201225004
ID: 10847612