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Title:Uporaba umetne inteligence v konstruiranju : diplomsko delo
Authors:ID Stanovnik, Vid (Author)
ID Kramberger, Janez (Mentor) More about this mentor... New window
Files:.pdf Diplomska_naloga_Vid_Stanovnik.pdf (2,91 MB)
MD5: 2EC665D0CA500AE2DFAEB93C05A8ECC2
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Namen diplomskega dela je raziskati uporabo umetne inteligence pri procesu konstruiranja. Delo se osredotoča na uvajanje različnih orodij umetne inteligence in tehnik za izboljšanje učinkovitosti, natančnosti in inovativnosti v procesu načrtovanja in modeliranja. Predstavljene so teoretične osnove umetne inteligence, vključno s strojnim učenjem, nevronskimi mrežami in globokim učenjem. Analizirane so prednosti in slabosti uporabe umetne inteligence, kot so zmanjšanje človeških napak, izboljšana produktivnost, vendar visoki stroški in kompleksnost uvajanja. Poleg tega so predstavljeni praktični primeri uporabe umetne inteligence pri konstruiranju, vključno z orodji, kot so ChatGPT za generiranje zahtevnikov, Autodesk Fusion 360 za generativno oblikovanje in Solidworks za avtomatizacijo oblikovalskih procesov.
Keywords:umetna inteligenca, konstruiranje, generativno oblikovanje, globoki generativni modeli, strojno učenje, globoko učenje.
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[V. Stanovnik]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (IX, 41 f.))
PID:20.500.12556/DKUM-89690 New window
UDC:004.8:[62-11](043.2)
COBISS.SI-ID:211362307 New window
Publication date in DKUM:30.09.2024
Views:341
Downloads:103
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:05.08.2024

Secondary language

Language:English
Title:Using artificial intelligence in mechanical design
Abstract:The purpose of this thesis is to explore the application of artificial intelligence in the mechanical design process. The thesis focuses on the implementation of various artificial intelligence tools and techniques to improve, efficiency, accuracy and innovation in the design and modelling process. Theoretical foundations of artificial intelligence are presented, including machine learning, neural networks and deep learning. The advantages and disadvantages of using artificial intelligence are analyzed, such as reducing human error, improving productivity, but also the high cost and complexity of implementation. In addition, practical examples of the application of artificial intelligence in mechanical design are presented, including tools such as ChatGPT for claimant generation, Autodesk Fusion 360 for generative design, and Solidworks for design process automation.
Keywords:artificial intelligence, mechanical design, generative design, deep generative models, machine learning, deep learning


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