title: ÐÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð´Ð»Ñ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² 3D-Ð¿ÐµÑÐ°ÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Calibration of 3D-printing using neural networks
Creators: name: ÐÑÐ¸Ð¼Ð¾Ð², Ð¡ÑÐ°Ð½Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
3D-Ð¿ÐµÑÐ°ÑÑ
ÐºÐ°Ð»Ð¸Ð±ÑÐ¾Ð²ÐºÐ°
Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð´ÐµÑÐµÐºÑÐ¾Ð²
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹
Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð²
Ð¿ÐµÑÐ°ÑÐ½ÑÐµ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÑ
Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð°
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ
3D-printing
calibration
optimization
defect detection
computer vision
model training
parameter adjustment
printing parameters
image analysis
quality control
automation

description: ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð¼Ð°Ð³Ð¸ÑÑÐµÑÑÐºÐ¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ° 3D-Ð¿ÐµÑÐ°ÑÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. ÐÑÐ½Ð¾Ð²Ð½Ð°Ñ ÑÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² Ð¸Ð·ÑÑÐµÐ½Ð¸Ð¸ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ¸ Ð¿ÐµÑÐ°ÑÐ½ÑÑ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð² Ð¿ÑÐ¾ÑÐµÑÑÐµ 3D-Ð¿ÐµÑÐ°ÑÐ¸. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð½Ð° ÑÐµÐ¼Ñ Â«ÐÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð´Ð»Ñ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² 3D-Ð¿ÐµÑÐ°ÑÐ¸Â» Ð¸Ð·Ð»Ð¾Ð¶ÐµÐ½Ð° Ð¾ÑÐ½Ð¾Ð²Ð½Ð°Ñ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ, Ð¿Ð¾Ð¼Ð¾Ð³Ð°ÑÑÐ°Ñ Ð¾ÑÑÑÐµÑÑÐ²Ð¸ÑÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ´Ð°Ð»ÐµÐ½Ð½ÑÐ¹ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð¸ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÑ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¿ÐµÑÐ°ÑÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ°ÐºÐ¸Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¹, ÐºÐ°Ðº Arduino, Python, TensorFlow, OpenCV, JavaScript Ð¸ API. ÐÐ°Ð½Ñ Ð¾Ð±ÑÐ¸Ðµ Ð¿Ð¾Ð½ÑÑÐ¸Ñ Ð¸ ÑÐ¾ÑÑÐ°Ð²Ð»ÑÑÑÐ¸Ðµ ÑÐ¸ÑÑÐµÐ¼ ÑÐ´Ð°Ð»ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¸ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ¸ ÑÐ°ÐºÐ¾Ð³Ð¾ ÑÐ¸Ð¿Ð°. Ð ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿Ñ ÑÐ°Ð±Ð¾ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð¸ Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð² Ð·Ð°Ð´Ð°ÑÐ°Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ. ÐÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÑ Ð¿Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð½Ð° ÑÐ¾Ð±ÑÐ°Ð½Ð½Ð¾Ð¼ Ð½Ð°Ð±Ð¾ÑÐµ Ð´Ð°Ð½Ð½ÑÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð¿ÐµÑÐ°ÑÐ½ÑÑ Ð´ÐµÑÐ°Ð»ÐµÐ¹, Ð° ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð´ÐµÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¿ÐµÑÐ°ÑÐ½ÑÑ Ð¸Ð·Ð´ÐµÐ»Ð¸ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¾Ð±ÑÑÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. ÐÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ Ð·Ð½Ð°ÑÐ¸Ð¼Ð¾ÑÑÑ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÑÑ ÑÐ¾Ð±Ð¾Ð¹ ÑÐµÐ½Ð½ÑÐ¹ Ð²ÐºÐ»Ð°Ð´ Ð² ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÑ Ð±Ð¾Ð»ÐµÐµ Ð¿ÐµÑÐµÐ´Ð¾Ð²ÑÑ ÑÐ¸ÑÑÐµÐ¼. ÐÑÐ²Ð¾Ð´Ñ. ÐÐ½ÐµÐ´ÑÐµÐ½Ð¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ¸ 3D-Ð¿ÐµÑÐ°ÑÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð¸Ð¼ÐµÐµÑ Ð¿Ð¾Ð»Ð¾Ð¶Ð¸ÑÐµÐ»ÑÐ½Ð¾Ðµ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ðµ Ð½Ð° Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¿ÑÐ¾ÑÐµÑÑ. ÐÐ½Ð° ÑÐ¿Ð¾ÑÐ¾Ð±ÑÑÐ²ÑÐµÑ ÑÐ½Ð¸Ð¶ÐµÐ½Ð¸Ñ ÑÐºÑÐ¿Ð»ÑÐ°ÑÐ°ÑÐ¸Ð¾Ð½Ð½ÑÑ Ð·Ð°ÑÑÐ°Ñ, ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð°Ð´Ð´Ð¸ÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸ Ð¸ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð½Ð°Ð»Ð°Ð´ÐºÐ¸ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð¿ÐµÑÐ°ÑÐ¸. ÐÑÐ¾Ð¼Ðµ ÑÐ¾Ð³Ð¾, Ð¾Ð½Ð° Ð¿Ð¾Ð¼Ð¾Ð³Ð°ÐµÑ ÑÐ¾ÐºÑÐ°ÑÐ¸ÑÑ Ð·Ð°ÑÑÐ°ÑÑ Ð½Ð° Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ñ, Ð²ÐºÐ»ÑÑÐ°Ñ ÑÐ¸Ð»Ð°Ð¼ÐµÐ½Ñ, Ð¸ ÑÐ¼ÐµÐ½ÑÑÐ¸ÑÑ Ð¿ÑÐ¾ÑÐµÐ½Ñ Ð±ÑÐ°ÐºÐ°. Ð¢Ð°ÐºÐ¶Ðµ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ½Ð¸Ð¶Ð°ÐµÑ Ð²ÑÐµÐ¼Ñ Ð¿ÑÐ¾ÑÑÐ¾Ñ Ð°Ð´Ð´Ð¸ÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸ Ð² ÑÐ»ÑÑÐ°Ðµ ÐµÐµ Ð²ÑÑÐ¾Ð´Ð° Ð¸Ð· ÑÑÑÐ¾Ñ.
description: The subject of this masters thesis is the calibration of 3D-printing using neural networks. The main objective of the work is to study and apply neural networks for the automatic adjustment of printing parameters in the 3D-printing process. This thesis titled "Neural Network for 3D-Printing Parameter Calibration" presents the fundamental information that facilitates automated remote control and calibration of print quality using technologies such as Arduino, Python, TensorFlow, OpenCV, JavaScript, and APIs. General concepts and components of remote automated control and calibration systems of this type are provided. During the research, the fundamental principles of neural networks and their application in computer vision tasks were explored. Experiments were conducted to train neural network models on a collected dataset of print detail images, and algorithms and methodologies for defect detection and classification on printed objects using trained neural networks were also studied. Practical significance. The obtained results of this masters thesis represent a valuable contribution to the improvement and development of more advanced systems. Conclusions. The implementation of a 3D-printing calibration system using neural networks has a positive impact on the manufacturing process. It contributes to reducing operational costs, improving the performance of additive installations, and increasing the speed of process calibration. Additionally, it helps reduce material costs, including filament, and decrease the percentage of defects. Furthermore, the implementation of this system reduces downtime of the additive installation in case of malfunctions.