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Abstract: This study investigates the predictive modelling of weld bead geometry in wire arc additive manufacturing (WAAM) through advanced machine learning methods. While WAAM is valued for its ability to produce large, complex metal parts with high deposition rates, precise control of the weld bead remains a critical challenge due to its influence on mechanical properties and dimensional accuracy. To address this problem, this study utilized machine learning approaches—Ridge regression, Lasso regression and Bayesian ridge regression, Random Forest and XGBoost—to predict the key weld bead characteristics, namely height, width and cross-sectional area. A Design of experiments (DOE) was used to systematically vary the welding current and travelling speed, with 3D weld bead geometries captured by laser scanning. Robust data pre-processing, including outlier detection and feature engineering, improved modelling accuracy. Among the models tested, XGBoost provided the highest prediction accuracy, emphasizing its potential for real-time control of WAAM processes. Overall, this study presents a comprehensive framework for predictive modelling and provides valuable insights for process optimization and the further development of intelligent manufacturing systems.
Keywords: wire arc additive manufacturing, WA AM, predictive modelling, machine learning, weld bead geometry, XGBoost
Published in DKUM: 13.03.2025; Views: 0; Downloads: 0
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Abstract: V magistrskem delu je predstavljen digitalni dvojček linije S12 v podjetju BSH Nazarje. Zaključno delo zajema predstavitev linije in programske opreme Tecnomatix Plant Simulation. Prikazano je izdelovanje digitalnega dvojčka in nastavljanje parametrov za pravilno delovanje. Sledi analiza, v kateri smo preizkusili različne scenarije, kot so spreminjanje števila delavcev in parametrov ter postavitev elementov, ki bi lahko pripomogli k optimizaciji proizvodnje linije. Na koncu so predstavljene ugotovitve in izboljšave, načrtovana je tudi paletizacija s pomočjo robotske roke in avtomatiziranega transporta. S pomočjo digitalnega dvojčka smo uspešno dosegli cilj magistrske naloge in izboljšali proizvodni sistem.
Keywords: digitalni dvojček, optimizacija, simulacija, robotika
Published in DKUM: 06.02.2025; Views: 0; Downloads: 0

Abstract: V diplomskem delu je predstavljena posodobitev tračne žage z avtomatskim podajalnikom. Predstavljene so vse komponente, ki jih je bilo potrebno zamenjati, potek izdelave novega komandnega pulta in ustreznih nosilcev komponent. Prav tako je predstavljeno ponovno elektro ožičenje vseh komponent in izdelava novega elektro načrta v programu Eplan. Predstavljena pa je tudi izdelava novega HMI zaslona v programu TIA Portal in uporabnost programa optiCutter v proizvodnji. Na koncu so zapisana navodila za uporabo žage. Cilj diplomske naloge je bilo zagotoviti natančno delovanje žage in posledično hitrejše ter kvalitetnejše razrezovanje v proizvodnji.
Keywords: Eplan, elektro vezava, TIA portal, tračna žaga, avtomatski podajalnik
Published in DKUM: 15.01.2025; Views: 0; Downloads: 34
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Abstract: This study applied a holistic approach to the problem of controlling the temperature of critical areas of tools using conformal cooling. The entire injection molding process is evaluated at the tool design stage using four criteria, one from each stage of the process cycle, to produce a tool with effective cooling that enables short cycle times and ensures good product quality. Tool manufacturing time and cost, as well as tool life, are considered in the optimization by introducing a novel tool-efficiency index. The multi-objective optimization is based on numerical simulations. The simulation results show that conformal cooling effectively cools the critical area of the tool and provides the shortest cycle times and the lowest warpage, but this comes with a trade-off in the tool-efficiency index. By using the tool-efficiency index with non-dominated sorting, the number of relevant simulation cases could be reduced to six, which greatly simplifies the decision regarding the choice of cooling system and process parameters. Based on the study, a tool with conformal cooling channels was made, and a coolant inlet temperature of 20 °C and a flow rate of 5 L/min for conformal and 7.5–9.5 L/min for conventional cooling channels were selected for production. The simulation results were validated by experimental measurements.
Keywords: conformal cooling, injection molding, tooling, additive manufacturing, numerical simulation, non-dominated sorting
Published in DKUM: 05.12.2024; Views: 0; Downloads: 5
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Abstract: Iskanje predmetov je v industrijskih aplikacijah pomemben proces, ki olajšuje delo, saj s pomočjo robota in laserskega distančnega senzorja izdelke najprej najdemo, nato prestavimo. Tekom diplomske naloge smo izvedli fizično in digitalno povezavo med laserskim distančnim senzorjem in ABB IRB1200 robotom. Nato smo napisali 3 različne programe za uporabo laserja za detekcijo komadov na točno določenem območju, iskanje njihove višine in nato njihovo prelaganje. Vsak naslednji program je bil nadgradnja predhodnega in vsi so uspešno delovali. Zadnji od njih je sposoben poiskati, prijeti in v stolpec odložiti cilindrične predmete različnih višin, kjerkoli v naprej določenem delovnem območju.
Keywords: laser, robot, RobotStudio, predmet, program, detekcija komadov
Published in DKUM: 22.10.2024; Views: 0; Downloads: 16
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