Finite Element Analysis and Optimization for Structure of Dry Ice Cleaning Machine Frame

This study aims to optimize the design of a dry ice cleaning machine frame. According to the typical working condition data of the dry ice cleaning machine, the Finite Element Analysis (FEA) was used for static structural analysis. It is found that the U-shaped tube is the most easily damaged component. The Response Surface Optimization (RSO) method was used in this study to optimize the parameters of the U-shaped tube size. Here, the maximum total deformation is reduced from 0.058 to 0.022 compared to the original design, and the mass is increased by 2.43kg. Subsequently, the modal analysis of the optimized dry ice cleaning machine frame was carried out to determine the first 6 natural frequencies and vibration modes. The results show that the optimization design of the dry ice cleaning machine frame effectively improves the working reliability of key components, and the overall frame is also in a safe state. This study provides theoretical and practical guidance for the design and improvement of dry ice cleaning machines.

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Publication Details

Journal
Semarak International Journal of Mechanical Precision Engineering
Published
2025-03-15
DOI
https://doi.org/10.37934/sijmpe.2.1.1123a
Primary Topic
Mechanical and Thermal Properties Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Finite Element Analysis and Optimization for Structure of Dry Ice Cleaning Machine Frame

Adi Azriff Basri, Azizan As’arry, M.Y.M. Zuhri, Ma Haohao et al.
Semarak International Journal of Mechanical Precision Engineering
Mechanical and Thermal Properties Analysis
article

Finite Element Analysis and Optimization for Structure of Dry Ice Cleaning Machine Frame

Adi Azriff Basri, Azizan As’arry, M.Y.M. Zuhri, Ma Haohao, Muhammad Safwan Abdul Aziz, Muhammad Shahril Shahbudin, Ezzat Afifi Abd Halid
article en

Abstract

This study aims to optimize the design of a dry ice cleaning machine frame. According to the typical working condition data of the dry ice cleaning machine, the Finite Element Analysis (FEA) was used for static structural analysis. It is found that the U-shaped tube is the most easily damaged component. The Response Surface Optimization (RSO) method was used in this study to optimize the parameters of the U-shaped tube size. Here, the maximum total deformation is reduced from 0.058 to 0.022 compared to the original design, and the mass is increased by 2.43kg. Subsequently, the modal analysis of the optimized dry ice cleaning machine frame was carried out to determine the first 6 natural frequencies and vibration modes. The results show that the optimization design of the dry ice cleaning machine frame effectively improves the working reliability of key components, and the overall frame is also in a safe state. This study provides theoretical and practical guidance for the design and improvement of dry ice cleaning machines.

Semarak International Journal of Mechanical Precision EngineeringVol. 2(1)
Universiti Putra Malaysia (MY), Nilai University (MY), Tianshui Normal University (CN)
Universiti Putra Malaysia
Openalex Percentile: Top 80%
Mechanical and Thermal Properties Analysis
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