USING THE SciPy ECOSYSTEM TO AUTOMATE THE PLANNING OF THREAD MANUFACTURING PROCESSES

Authors

  • V. B. Kopei Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska St., Ivano-Frankivsk, 76019 https://orcid.org/0000-0003-0008-8260
  • О. R. Onysko Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska St., Ivano-Frankivsk, 76019
  • І. І. Chudyk Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska St., Ivano-Frankivsk, 76019
  • H. V. Krechkovska KARPENKO PHYSICO-MECHANICAL INSTITUTE OF THE NAS OF UKRAINE, 5, Naukova Str., Lviv, 79060
  • І. V. Proniuk Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska St., Ivano-Frankivsk, 76019

DOI:

https://doi.org/10.31471/1993-9965-2024-2(57)-86-95

Keywords:

Computer-Aided Process Planning, thread processing, technological process, Python, SymPy

Abstract

Based on the Python language and its SciPy package ecosystem, software components have been developed that are intended for automating the design of technological processes for thread manufacturing, in particular for calculating thread processing modes, calculating the main time for thread processing, and selecting optimal modes and methods for thread manufacturing. They can be used as components of CAPP and PLM systems for threaded parts. The principles for designing such components are presented. Functions that yield the value of the primary time for thread manufacturing using various ways have been written, as have functions that transform these into SymPy equations and solve these equations symbolically. This adds declarative programming capabilities to Python and intellectualizes the solution of many problems of selecting optimal methods and processing modes. Software tools have been developed to automate the formation of documentation for functions that contain a description of arguments and LaTeX formulas describing these functions. Methods for formalizing reference tabular data for selecting thread manufacturing modes, including using the Pandas package, are shown. The proposed methods are focused on convenient database queries, analysis and processing of this data. Methods of interpolation and visua-lization of this tabular data for more accurate calculation of modes are shown. Examples of using the developed components in Jupyter Notebook are shown.

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Author Biography

V. B. Kopei, Ivano-Frankivsk National Technical University of Oil and Gas, 15 Karpatska St., Ivano-Frankivsk, 76019

Volodymyr Kopei is a Professor in the Department of Computerized Mechanical Engineering at the Ivano-Frankivsk National Technical University of Oil and Gas (Ukraine) and D.Sc. in Technical Science (2021) and Master of Science in Manufacturing Engineering (2000). His research interests include mechanical engineering, programming, computer simulation, CAD, PLM, maintenance of reliability of oil and gas equipment. He teaches courses "Theoretical foundations of the manufacturing engineering", "Manufacturing engineering for the oil and gas industry", "Python for engineers", "Modeling of technical systems", "Product life cycle management systems". He published more than 300 scientific and methodical works, including 9 textbooks, 3 monographs, 23 invention certificates.

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Published

2024-12-29

How to Cite

Kopei, V. B., Onysko О. R., Chudyk І. І., Krechkovska, H. V., & Proniuk І. V. (2024). USING THE SciPy ECOSYSTEM TO AUTOMATE THE PLANNING OF THREAD MANUFACTURING PROCESSES. Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas, (2(57), 86–95. https://doi.org/10.31471/1993-9965-2024-2(57)-86-95

Issue

No. 2(57) (2024): Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas

Section

INFORMATION PROGRAMS AND COMPUTER-INTEGRATED TECHNOLOGIES

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