A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Petr M. Pivkin; Artem A. Ershov; Vladimir A. Grechishnikov; Lyudmila A. Uvarova; Vladimir A. Kuznetsov; Anton M. Yazev; Michail Prus; Dazhong Wang; Xiaohui Jiang; Rao Yao; Alexey B. Nadykto

doi:10.1117/12.3022523

18 June 2024 A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Petr M. Pivkin, Artem A. Ershov, Vladimir A. Grechishnikov, Lyudmila A. Uvarova, Vladimir A. Kuznetsov, Anton M. Yazev, Michail Prus, Dazhong Wang, Xiaohui Jiang, Rao Yao, Alexey B. Nadykto

Author Affiliations +

Proceedings Volume 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII; 129981Q (2024) https://doi.org/10.1117/12.3022523
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

Solving the problem of reverse engineering as a key element of the production process and its technological preparation has a key role. This work demonstrates for the first time the possibility of preparing production and collecting key indicators, which allows you to recreate a digital twin of the technological process and display the technological aspects of the design as a result of collecting key indicators. Such indicators include the width of the cut layer, the cutting zone of a conical cutter during multi-axis positioning, obtained based on the results of processing a group of images of processed products. Actual technological indicators of the technological process can be identified and numerically formalized by assessing the shape of the helical surface on a class of parts obtained as a result of multi-coordinate processing, which proves the possibility of applied application of the method in the structure of the production process in real time. As a result, the use of a new algorithm will reduce the likelihood of receiving defective products and recreate the technological process based on processing a set of product images. The work constructs an analytical model for the automated creation of processing paths based on improved B-splines, which can significantly improve smoothness compared to numerical methods for generating paths. The actual technological indicators of the machining process can be identified and numerically formalized dependencies by determining the influence of the helical surface on the precise positioning of the end mill with compensation along each axis during 5-axis machining, obtained as a result of multi-axis machining, which proves the possibility of applied application of the method in the production process in the mode real time.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Petr M. Pivkin, Artem A. Ershov, Vladimir A. Grechishnikov, Lyudmila A. Uvarova, Vladimir A. Kuznetsov, Anton M. Yazev, Michail Prus, Dazhong Wang, Xiaohui Jiang, Rao Yao, and Alexey B. Nadykto "A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition", Proc. SPIE 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII, 129981Q (18 June 2024); https://doi.org/10.1117/12.3022523

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available