Uporaba umetne inteligence v konstruiranju

diplomsko delo

Vid Stanovnik (Author), Janez Kramberger (Mentor)

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.;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FS - Faculty of Mechanical Engineering
Publisher:	[V. Stanovnik]
UDC:	004.8:[62-11](043.2)
COBISS:	211362307
Views:	0
Downloads:	17
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Using artificial intelligence in mechanical design
Secondary 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.
Secondary keywords:	artificial intelligence;mechanical design;generative design;deep generative models;machine learning;deep learning;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za strojništvo, Konstrukterstvo
Pages:	1 spletni vir (1 datoteka PDF (IX, 41 f.))
ID:	24660782