Application of artificial neural networks in estimating the characteristics of the machining surface

Ovaj diplomski rad se bavi primjenom umjetne inteligencije za rješavanje problema u području tehnološke pripreme proizvodnje. U radu su objašnjene metode umjetne inteligencije, navedene su prednosti i nedostatci umjetnih neuronskih mreža te je provedeno i predstavljeno istraživanje primjenom softvera NeuroIntelligence. Cilj istraživanja je na temelju ulaznih parametara: posmak po zubu, posmak radnog stola, broj okretaja, dubina rezanja primjenom umjetnih neuronskih mreža procijeniti karakteristike obrađene površine kod obrade odvajanjem čestica. Naime, na ovaj se način unaprijed može procijeniti ispunjavaju li izabrani parametri obrade unaprijed zadanu kvalitetu obrađivane površine.This master’s thesis deals with the application of artificial intelligence to solve problems in the field of technological preparation of production. In this paper methods of artificial intelligence are explained, advantages and disadvantages of artificial neural networks are mentioned and research in NeuroIntelligence software is performed and presented. The aim of the research is to evaluate the characteristics of the processed surface by mechanical machining process based on the input parameters: feed per tooth, bench feed, spindle speed and depth of cut using artificial neural networks. Namely, in this way, it is possible to assess in advance whether the selected processing parameters meet the predefined quality of the processed surface