Simplification in the analysis of component units and automation of working with them

This article is a scientific and methodological publication. Working with large-scale assemblies in mechanical engineering, containing hundreds or even thousands of parts, requires special approaches to modeling, analysis, and process automation. The main challenges relate to optimizing CAE calculations, accelerating the documentation creation, and preparing additional production files. The article discusses approaches to solving these problems using the example of a frame design created in Autodesk Inventor 2024, with the possibility of applying the proposed methods in other CAD programs. Strength analysis of assemblies with numerous assembly parts by the finite element method can be resource-intensive due to the large amount of computation. To overcome this problem, it is proposed to create simplified models that exclude small parts and elements that do not affect the calculation results. In the case of a structure consisting of 95 % sheet materials, an effective solution is to replace solid elements with equivalent surfaces. This approach reduces the computational complexity of the problem by eliminating one spatial coordinate, which can reduce the calculation time by 30 %. In addition, the elimination of small elements allows the use of a larger mesh size, which further speeds up the process. Automation of the processes of preparing additional production files is performed using iLogic, a tool that allows you to create scripts for automatic file generation. As part of the project, a script was developed to automatically generate DXF files of sheet metal part scans, taking into account model properties such as designations, thickness, and number of parts. The generated files are sorted into folders according to the specified parameters. Similarly, a scenario for automatic export of drawings to PDF format is implemented in compliance with the specified directory structure. These processes significantly reduce the time required to perform routine tasks and reduce the number of errors. The proposed methods provide an integrated solution for working with large assemblies, which increases labor productivity, reduces the time for performing monotonous operations, and minimizes the influence of the human factor. The presented approaches are versatile and can be adapted to other CAD systems, making them useful for a wide range of tasks in the field of mechanical engineering.

Authors

Publication Details

Journal
TECHNICAL SCIENCES AND TECHNOLOGIES
Published
2024-12-30
DOI
https://doi.org/10.25140/2411-5363-2024-4(38)-112-119
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simplification in the analysis of component units and automation of working with them

Serhii Maidaniuk, A. P. Shcherban, Vyacheslav Vovk, Yurii Besarabets
TECHNICAL SCIENCES AND TECHNOLOGIES
Engineering Diagnostics and Reliability
article

Simplification in the analysis of component units and automation of working with them

Serhii Maidaniuk, A. P. Shcherban, Vyacheslav Vovk, Yurii Besarabets
article en

Abstract

This article is a scientific and methodological publication. Working with large-scale assemblies in mechanical engineering, containing hundreds or even thousands of parts, requires special approaches to modeling, analysis, and process automation. The main challenges relate to optimizing CAE calculations, accelerating the documentation creation, and preparing additional production files. The article discusses approaches to solving these problems using the example of a frame design created in Autodesk Inventor 2024, with the possibility of applying the proposed methods in other CAD programs. Strength analysis of assemblies with numerous assembly parts by the finite element method can be resource-intensive due to the large amount of computation. To overcome this problem, it is proposed to create simplified models that exclude small parts and elements that do not affect the calculation results. In the case of a structure consisting of 95 % sheet materials, an effective solution is to replace solid elements with equivalent surfaces. This approach reduces the computational complexity of the problem by eliminating one spatial coordinate, which can reduce the calculation time by 30 %. In addition, the elimination of small elements allows the use of a larger mesh size, which further speeds up the process. Automation of the processes of preparing additional production files is performed using iLogic, a tool that allows you to create scripts for automatic file generation. As part of the project, a script was developed to automatically generate DXF files of sheet metal part scans, taking into account model properties such as designations, thickness, and number of parts. The generated files are sorted into folders according to the specified parameters. Similarly, a scenario for automatic export of drawings to PDF format is implemented in compliance with the specified directory structure. These processes significantly reduce the time required to perform routine tasks and reduce the number of errors. The proposed methods provide an integrated solution for working with large assemblies, which increases labor productivity, reduces the time for performing monotonous operations, and minimizes the influence of the human factor. The presented approaches are versatile and can be adapted to other CAD systems, making them useful for a wide range of tasks in the field of mechanical engineering.

TECHNICAL SCIENCES AND TECHNOLOGIES(4 (38))
Openalex Percentile: Top 69%
Engineering Diagnostics and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.