1. Prediction of the form of a hardened metal workpiece during the straightening processTadej Peršak, Jernej Hernavs, Tomaž Vuherer, Aleš Belšak, Simon Klančnik, 2023, izvirni znanstveni članek Opis: In industry, metal workpieces are often heat-treated to improve their mechanical properties, which leads to unwanted deformations and changes in their geometry. Due to their high hardness (60 HRC or more), conventional bending and rolling straightening approaches are not effective, as a failure of the material occurs. The aim of the research was to develop a predictive model that predicts the change in the form of a hardened workpiece as a function of the arbitrary set of strikes that deform the surface plastically. A large-scale laboratory experiment was carried out in which a database of 3063 samples was prepared, based on the controlled application of plastic deformations on the surface of the workpiece and high-resolution capture of the workpiece geometry. The different types of input data, describing, on the one hand, the performed plastic surface deformations on the workpieces, and on the other hand the point cloud of the workpiece geometry, were combined appropriately into a form that is a suitable input for a U-Net convolutional neural network. The U-Net model’s performance was investigated using three statistical indicators. These indicators were: relative absolute error (RAE), root mean squared error (RMSE), and relative squared error (RSE). The results showed that the model had excellent prediction performance, with the mean values of RMSE less than 0.013, RAE less than 0.05, and RSE less than 0.004 on test data. Based on the results, we concluded that the proposed model could be a useful tool for designing an optimal straightening strategy for high-hardness metal workpieces. Our results will open the doors to implementing digital sustainability techniques, since more efficient handling will result in fewer subsequent heat treatments and shorter handling times. An important goal of digital sustainability is to reduce electricity consumption in production, which this approach will certainly do.
Ključne besede: sustraightening process, hardened workpiece, manufacturing, U-Net convolutional neural network, modeling, point cloud, digital sustainability
Objavljeno v DKUM: 02.04.2024; Ogledov: 275; Prenosov: 23
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2. Advances in production and industrial engineering2017, znanstvena monografija Opis: This publication, scientific monograph, offers comprehensive chapter series from scientific researchers conducted by regional authors, authorities in the fields and summarizes the principal scientific contributions. The chapters deal with range topics from optimization techniques in production development, quality in production processes, product and process development, technologies for business development and factors of social and economic development. Edited by two editors with contributions from chapters’ authors, this scientific monograph presents advanced topics for students, educators and practitioners. The editors would like to thank all chapters’ authors for devoting of the research results and expertise with the great enthusiasm. We encourage all of them to continue successful highly valuable cooperation, between Faculty of Mechanical Engineering at the University of Maribor and Faculty of Mechanical Engineering at the Ss. Cyril and Methodius University in Skopje.
Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno v DKUM: 19.07.2017; Ogledov: 1548; Prenosov: 399
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4. Uvajanje računalniško podprte proizvodnjeUroš Trupej, 2013, diplomsko delo Opis: V svoji diplomski nalogi sem se osredotočil na uvajanje računalniško podprte proizvodnje in kakšne prednosti prinaša. Računalniško podprta proizvodnja združuje moderno računalniško tehnologijo z naprednimi obdelovalnimi stroji in povezavo z informacijskim sistemom, kjer je človek še vedno vodilo napredka. Na teoretičnem primeru sem prikazal kakšne spremembe mora neko podjetje opravit in kakšne pogoje mora zadostiti, da lahko uvede računalniško podprto proizvodnjo.
Ključne besede: RIP - Računalniško integrirana proizvodnja, CIM - Computer integrated manufacturing, CAD - Computer Aided Design.CAM - Computer Aided Manufacturing, CAE - Computer Aided Engeneering, CAQ - Computer Aided Quality Assurance, CAPP - Computer Aideded Process Planning, CABS - Computer Aideded Business Sysytem, CAST - Computer Aideded Storagee and Transport, CNC - Computer Numerical Control, POS - Prilagodljivi obdelovalni stroji
Objavljeno v DKUM: 16.10.2013; Ogledov: 2154; Prenosov: 224
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5. Intelligent process planning for competitive engineeringValentina Gečevska, Franc Čuš, 2010, izvirni znanstveni članek Opis: Process planning is one of the key activities for product design and manufacturing. The impact of process plans on all phases of product design and manufacture requires high level of interaction of different activities and close integration of them into a coherent system. This paper presents a process model of product development with manufacturing approach based on intelligent process planning techniques with focus on optimal selection of manufacturing parameters. Some derivations of the computing model for analysis of machining conditions by optimal determination of the cutting parameters in multi-pass NC machining activities are made with implementation of new evolutionary computation techniques. Genetic Algorithm (GA) based optimization method and deterministic optimization method (DO) are developed and then implementations into real manufacturing process planning for new product developed are analyzed. The results showed that both the developed optimization methods (GA and DO), especially GA, are effective methods for solving multi-objective optimization problems during the manufacturing process planning and cutting parameters selection.
Ključne besede: genetic algorithm, intelligent manufacturing systems, process planning
Objavljeno v DKUM: 31.05.2012; Ogledov: 2083; Prenosov: 43
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