1. Vpenjalna priprava za vpenjanje ohišja črpalkeLuka Kitak, 2024, undergraduate thesis Abstract: Izdelati je potrebno vpenjalno pripravo za obdelavo 25 kosov obdelovancev, za katere je na voljo STL model in podatek, da gre za odlitke. Potrebno je strojno obdelati vse funkcionalne površine kosa. V delu je predstavljeno načrtovanje vpenjalne priprave, izbira komponent, iz katerih je sestavljena, ter izvedba končne rešitve. Končno rešitev naloge predstavljata dve vpenjalni pripravi, posebej prilagojeni zahtevam za obdelavo dodeljenega kosa. Izdelani sta iz modularnih komponent, ki omogočajo prilagodljivo in cenovno ugodno sestavo.
Keywords: Vpenjalna priprava, CNC obdelava, CAD zasnova
Published in DKUM: 01.04.2025; Views: 0; Downloads: 28
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2. A cloud-based system for the optical monitoring of tool conditions during milling through the detection of chip surface size and identification of cutting force trendsUroš Župerl, Krzysztof Stępień, Goran Munđar, Miha Kovačič, 2022, original scientific article Abstract: This article presents a cloud-based system for the on-line monitoring of tool conditions in
end milling. The novelty of this research is the developed system that connects the IoT (Internet of
Things) platform for the monitoring of tool conditions in the cloud to the machine tool and optical
system for the detection of cutting chip size. The optical system takes care of the acquisition and
transfer of signals regarding chip size to the IoT application, where they are used as an indicator
for the determination of tool conditions. In addition, the novelty of the presented approach is in
the artificial intelligence integrated into the platform, which monitors a tool’s condition through
identification of the current cutting force trend and protects the tool against excessive loading by
correcting process parameters. The practical significance of the research is that it is a new system for
fast tool condition monitoring, which ensures savings, reduces investment costs due to the use of
a more cost-effective sensor, improves machining efficiency and allows remote process monitoring
on mobile devices. A machining test was performed to verify the feasibility of the monitoring
system. The results show that the developed system with an ANN (artificial neural network) for the
recognition of cutting force patterns successfully detects tool damage and stops the process within
35 ms. This article reports a classification accuracy of 85.3% using an ANN with no error in the
identification of tool breakage, which verifies the effectiveness and practicality of the approach.
Keywords: machining, end milling, tool condition monitoring, chip size detection, cutting force trend identification, visual sensor monitoring, cloud manufacturing technologies
Published in DKUM: 26.03.2025; Views: 0; Downloads: 2
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3. Modeling of tensile test results for low alloy steels by linear regression and genetic programming taking into account the non-metallic inclusionsMiha Kovačič, Uroš Župerl, 2022, original scientific article Abstract: Štore Steel Ltd. is one of the biggest flat spring steel producers in Europe. The main
motive for this study was to study the influences of non-metallic inclusions on mechanical properties
obtained by tensile testing. From January 2016 to December 2021, all available tensile strength data
(472 cases–472 test pieces) of 17 low alloy steel grades, which were ordered and used by the final
user in rolled condition, were gathered. Based on the geometry of rolled bars, selected chemical
composition, and average size of worst fields non-metallic inclusions (sulfur, silicate, aluminium
and globular oxides), determined based on ASTM E45, several models for tensile strength, yield
strength, percentage elongation, and percentage reduction area were obtained using linear regression
and genetic programming. Based on modeling results in the period from January 2022 to April 2022,
five successively cast batches of 30MnVS6 were produced with a statistically significant reduction
of content of silicon (t-test, p < 0.05). The content of silicate type of inclusions, yield, and tensile
strength also changed statistically significantly (t-test, p < 0.05). The average yield and tensile strength
increased from 458.5 MPa to 525.4 MPa and from 672.7 MPa to 754.0 MPa, respectively. It is necessary
to emphasize that there were no statistically significant changes in other monitored parameters.
Keywords: mechanical properties, tensile test, tensile strength, yield strength, percentage elongation, percentage reduction area, low alloy steel, modeling, linear regression, genetic programming, industrial study, steel making, optimization
Published in DKUM: 24.03.2025; Views: 0; Downloads: 2
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6. Razvoj programske opreme za samodejno konfiguriranje led reflektorjev : diplomsko deloJan Nipič, 2024, undergraduate thesis Abstract: Diplomska naloga je nastala v sodelovanju s podjetjem SMT, ki izdeluje tiskana vezja za LED reflektorje, ki se uporabljajo v filmski industriji. Na vsakem vezju je potrebno nastaviti minimalno in maksimalno osvetlitev za LED diode, kar se je do zdaj počelo ročno, proces pa je trajal 5 do 10 minut. Cilj te naloge je narediti napravo, ki bi to naredila samodejno in hitreje.
Keywords: LED, reflektor, tok, konfiguracija, samodejno
Published in DKUM: 06.02.2025; Views: 0; Downloads: 0 |
7. Primer napredne robotske manipulacije z redundantno robotsko roko Franka Emika Panda in ROS : magistrsko deloRok Casar, 2024, master's thesis Abstract: V magistrski nalogi smo raziskali uporabo redundantnih robotskih manipulatorjev za izboljšanje prilagodljivosti in zmogljivosti pri izvajanju nalog v okoljih z ovirami, s poudarkom na robota Franka Emika Panda. Osredotočili smo se na analizo in primerjavo različnih načrtovalnikov poti ter reševalnikov inverzne kinematike, da bi ocenili njihovo učinkovitost pri obvladovanju sklepnih omejitev in izogibanju oviram. Z razvojem aplikacije pobiranja in odlaganja (angl. Pick and place) v okolju ROS in z orodjem Moveit smo demonstrirali, kako redundantnost omogoča izboljšano manevriranje in kompleksne gibe, ki so potrebni za napredne robotske aplikacije. Rezultati kažejo, da je pristop s poudarkom na redundantnosti bistven za doseganje boljših operativnih sposobnosti robota, še posebej v zahtevnih industrijskih okoljih.
Keywords: ROS, Moveit, Franka Emika Panda, redundantnost, robot, izogibanje oviram, manipulacija, načrtovanje poti
Published in DKUM: 20.01.2025; Views: 0; Downloads: 25
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8. Razvoj in izdelava vizualizacije za precizno pozicioniranje pnevmatskega valjaRok Pulko, 2024, master's thesis Abstract: V sklopu magistrske naloge smo razvili in izdelali vizualizacijo za precizno pozicioniranje pnevmatskega valja. Servo-pnevmatski pozicionirni sistem, katerega ključna sestavna dela sta servo-pnevmatski ventil Enfield S2 in senzorska letev SICK, omogoča natančno pozicioniranje bata na določeni točki vzdolž cilindra. Sistem smo krmilili preko programskega vmesnika S2 Configuration Interface, preko potenciometra v ročnem načinu in preko industrijskega krmilnika Siemens S7-1200 v avtomatskem načinu. V programskem okolju TIA Portal smo izdelali krmilne programe za različne načine delovanja. Glede na krmilne programe oz. načine delovanja smo izdelali vizualizacijo z uporabo Siemens HMI. Nastavitve željene in dejanske pozicije ter točnost bata smo primerjali z ustreznimi funkcijami na HMI zaslonu. Za posamezen krmilni program smo izdelali ustrezno tehnološko dokumentacijo.
Keywords: Vizualizacija, Siemens, HMI, pozicioniranje
Published in DKUM: 23.12.2024; Views: 0; Downloads: 30
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9. Optimization of billet cooling after continuous casting using genetic programming—industrial studyMiha Kovačič, Aljaž Zupanc, Robert Vertnik, Uroš Župerl, 2024, original scientific article Abstract: ŠTORE STEEL Ltd. is one of the three steel plants in Slovenia. Continuous cast 180 mm × 180 mm billets can undergo cooling to room temperature using a turnover cooling bed. They can also be cooled down under hoods or heat treated to reduce residual stresses. Additional operations of heat treatment from 36 h up to 72 h and cooling of the billets for 24 h, with limited capacities (with only two heat treatment furnaces and only six hoods), drastically influence productivity. Accordingly, the casting must be carefully planned (i.e., the main thing is casting in sequences), while the internal quality of the billets (i.e., the occurrence of inner defects) may be compromised. Also, the stock of billets can increase dramatically. As a result, it was necessary to consider the abandoning of cooling under hoods and heat treatment of billets. Based on the collected scrap data after ultrasonic examination of rolled bars, linear regression and genetic programming were used for prediction of the occurrence of inner defects. Based on modeling results, cooling under hoods and heat treatment of billets were abandoned at the casting of several steel grades. Accordingly, the casting sequences increased, and the stock of billets decreased drastically while the internal quality of the rolled bars remained the same.
Keywords: billet cooling, continuous casting, ultrasonic testing, logistic regression, genetic programming, industrial study, steel making, optimization
Published in DKUM: 25.11.2024; Views: 0; Downloads: 9
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10. Snovanje modularne vpenjalne naprave za obdelavo oljne kadiEmir Karić, 2024, undergraduate thesis Abstract: V diplomski nalogi smo zasnovali modularno vpenjalno napravo za obdelavo oljne kadi. Pri konstruiranju vpenjalne naprave smo morali upoštevati, da omogoča natančno pozicioniranje, omogoča zadostno ponovljivost vpenjanja. Ob tem smo morali biti pozorni na enostavnost in ergonomičnost vpenjanja. Izdelali smo navodila za montažo vpenjalne naprave, animacijski film montaže, eksplozijski model vpenjalne naprave in stroškovne kalkulacije. Določili smo tudi obdelovalne postopke, za katere smo izbrali ustrezna orodja in parametre, na podlagi katerih smo izbrali še ustrezen obdelovalni stroj.
Keywords: vpenjalna naprava, snovanje, obdelava
Published in DKUM: 22.10.2024; Views: 0; Downloads: 16
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