The Thermal Cutting Process of Flat Material on Figured Parts: Digital Twin Based on the Voxel Representation

This paper presents a novel approach to constructing a digital twin (DT) for the thermal cutting process of flat materials, such as those used in laser or gas cutting. The primary goal is to optimize the cutting tool path while accounting for thermal effects on the material, which can lead to overheating and deformation. The proposed method utilizes a discrete-logical (voxel-based) representation to model temperature changes in the material during cutting. A computational experiment demonstrates the effectiveness of the developed algorithm, which minimizes both idle travel and local overheating zones. The results show a 14% improvement in path optimization compared to traditional methods, highlighting the potential of integrating real-time temperature data into the cutting process. This approach enhances the quality of cut blanks and reduces production costs, making it a valuable tool for industrial applications.

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Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986236
Primary Topic
Engineering Technology and Methodologies
Type
article
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article

The Thermal Cutting Process of Flat Material on Figured Parts: Digital Twin Based on the Voxel Representation

Galina Verkhoturova, M.A. Verkhoturov, Nail Khannanov
Engineering Technology and Methodologies
article

The Thermal Cutting Process of Flat Material on Figured Parts: Digital Twin Based on the Voxel Representation

Galina Verkhoturova, M.A. Verkhoturov, Nail Khannanov
article en

Abstract

This paper presents a novel approach to constructing a digital twin (DT) for the thermal cutting process of flat materials, such as those used in laser or gas cutting. The primary goal is to optimize the cutting tool path while accounting for thermal effects on the material, which can lead to overheating and deformation. The proposed method utilizes a discrete-logical (voxel-based) representation to model temperature changes in the material during cutting. A computational experiment demonstrates the effectiveness of the developed algorithm, which minimizes both idle travel and local overheating zones. The results show a 14% improvement in path optimization compared to traditional methods, highlighting the potential of integrating real-time temperature data into the cutting process. This approach enhances the quality of cut blanks and reduces production costs, making it a valuable tool for industrial applications.

Ufa Institute of Chemistry (RU)
Openalex Percentile: Top 87%
Engineering Technology and Methodologies
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