Research on the End-Face Distribution of Rotational Molding Heating Gun Based on Numerical Simulation Method
Abstract
:1. Introduction
2. Heating Process Simulation
2.1. FDS Simulation of a Heating Gun
2.1.1. Model Construction and Meshing
2.1.2. Fuel and Fire Source Setting
- (1).
- Thermophysical Properties of Natural Gas
- (2).
- Heating Gun Position Simulation
2.1.3. Temperature Detector Settings
2.2. FDS Simulates the Heating Process of Heating Gun
2.2.1. Heat Release Rate
2.2.2. Temperature Distribution on the Outer Surface of the Mold
3. Thermal Response of Heat-Affected Mold
3.1. Mathematical Model
3.1.1. Thermal Conductivity Equation
3.1.2. Initial and Boundary Conditions
3.2. ANSYS Model of Heat-Affected Mold
3.2.1. Model Construction and Meshing
3.2.2. Heating Gun Heating Settings
3.3. Heat-Affected Mold Thermal Response Temperature Field Distribution
3.3.1. End-Face Distribution of the Heating Gun
3.3.2. Heat-Affected Mold Temperature Field Distribution
4. ANSYS Model of the End-Face Mold
4.1. ANSYS Model of the End-Face Mold
4.1.1. Model Construction and Meshing
4.1.2. End-Face Mold Heating Setting
4.1.3. Temperature Field Distribution of the Thermal Response of the End-Face Mold
- (1)
- (2)
- The 50 mm–0.4 m model heat-affected area size: Φ200 mm.
- (3)
- The size of the heat-affected area for 70 mm–0.6 m and 70 mm–0.8 m molds was Φ200 mm.
4.2. End-Face Distribution of the Heating Gun
4.2.1. Model Construction and Meshing
4.2.2. End-Face Mold Heating Setting
4.2.3. Temperature Field Distribution of the Thermal Response of the End-Face Mold
5. Experiments
5.1. Experimental Design
5.2. Experimental Results and Analysis
- The experimental data had a certain time delay compared to the theoretical data, with delays of 0.6 s for 30 mm–Φ0.3 m, 0.2 s for 50 mm–Φ0.8 m and 70 mm–Φ1.2 m, and 0.4 s for 70 mm–Φ1.6 m.
- The experimental data had higher peak temperatures and more drastic temperature changes than the theoretical data. In the first wave peak and first trough position (8–10 s), the experimental data curve changed more gently. Higher experimental data were obtained at the second trough and fourth trough positions compared to the theoretical data.
- The comparison and analysis of the data show that the theoretical heat-affected areas of 30 mm–Φ0.3 m and 70 mm–Φ1.6 m were consistent with the actual heat-affected area, and the actual thermal impact areas of 50 mm–Φ0.8 m and 70 mm–Φ1.2 m were larger than the theoretical thermal impact area.
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Mold | Material | Diameter/m | Thickness/mm | Density /(Kg·m−3) | Thermal Conductivity /(W·m−1·K−1) | Specific Heat Capacity /(J·Kg−1·°C−1) |
---|---|---|---|---|---|---|
Heat-affected mold | Q235A | 0.2 | 10 | 7850 | 52.34 | 434 |
Mold | Material | Diameter/m | Thickness/mm | Density /(Kg·m−3) | Thermal Conductivity /(W·m−1·K−1) | Specific Heat Capacity /(J·Kg−1·°C−1) |
---|---|---|---|---|---|---|
Heat-affected mold | Q235A | 0.2 | 10 | 7850 | 52.34 | 434 |
End-face mold | Q235A | 2 | 10 | 7850 | 52.34 | 434 |
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Yan, Y.; Zhang, L.; Ma, X.; Wang, H.; Wang, W.; Zhang, Y. Research on the End-Face Distribution of Rotational Molding Heating Gun Based on Numerical Simulation Method. Processes 2022, 10, 97. https://doi.org/10.3390/pr10010097
Yan Y, Zhang L, Ma X, Wang H, Wang W, Zhang Y. Research on the End-Face Distribution of Rotational Molding Heating Gun Based on Numerical Simulation Method. Processes. 2022; 10(1):97. https://doi.org/10.3390/pr10010097
Chicago/Turabian StyleYan, Yongchun, Lixin Zhang, Xiao Ma, Huan Wang, Wendong Wang, and Yan Zhang. 2022. "Research on the End-Face Distribution of Rotational Molding Heating Gun Based on Numerical Simulation Method" Processes 10, no. 1: 97. https://doi.org/10.3390/pr10010097
APA StyleYan, Y., Zhang, L., Ma, X., Wang, H., Wang, W., & Zhang, Y. (2022). Research on the End-Face Distribution of Rotational Molding Heating Gun Based on Numerical Simulation Method. Processes, 10(1), 97. https://doi.org/10.3390/pr10010097