Semantic Scholar Open Access 2025

Development of Software for Automated Selection of Machining Parameters

O. Nurzhanova A.S. Berg A. Berg Adilkhan Amangeldievich Bakenov Ilya Andreevich Semerenko

Abstrak

This paper describes in detail the research methodology, including the use of a local SQLite database to store information about drawings, materials, processing methods, and formulas. The need for dynamic generation of input fields, real-time calculations, and display of drawing thumbnails is emphasized. Particular attention is paid to the fault tolerance of the system, including exception handling (division by zero, missing variables, incorrect data entry) and ensuring stable operation without abnormal termination. The application architecture is organized according to the modular principle (interface, database, computational engine), which simplifies support and extension. The use of the eval() function in a strictly limited context for safe execution of formulas is noted. The application is developed in Python using PyQt5 and can operate autonomously, without access to the Internet or external servers. The presented work demonstrates a solution to the current problem of automation in mechanical engineering, offering a flexible, reliable and convenient tool for engineers and technologists

Penulis (5)

O

O. Nurzhanova

A

A.S. Berg

A

A. Berg

A

Adilkhan Amangeldievich Bakenov

I

Ilya Andreevich Semerenko

Format Sitasi

Nurzhanova, O., Berg, A., Berg, A., Bakenov, A.A., Semerenko, I.A. (2025). Development of Software for Automated Selection of Machining Parameters. https://doi.org/10.52209/2706-977x_2025_3_31

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.52209/2706-977x_2025_3_31
Akses
Open Access ✓