Optimal design of hot shrink tube expansion mold based on Fluent

Junwei Pu; Zhong Chu; Ruyong Bai; Jizhong Zhang; Bangjian Yuan; Jian Zhang

doi:10.1117/12.2684917

19 October 2023 Optimal design of hot shrink tube expansion mold based on Fluent

Junwei Pu, Zhong Chu, Ruyong Bai, Jizhong Zhang, Bangjian Yuan, Jian Zhang

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270943 (2023) https://doi.org/10.1117/12.2684917
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

With the upgrading of domestic industrial structure, the demand for thermal shrinkage tube in domestic electronic industry is growing steadily and steadily. Expansion and setting is one of the key manufacturing processes of heat shrinkage pipe. The quality and efficiency of pipe expansion are related to the mold structure, cooling water flow rate and water temperature. This paper uses the Fluent module to analyze the influence of cooling water inlet temperature and flow rate on pipeline quality and expansion efficiency. The results show that when the cooling water temperature is 303 K and the cooling water flow rate is 10 m/s, the outlet temperature of the pipe in the double cooling chamber is lower than that in the single cooling chamber, and the temperature difference between the two is 30 K. The cooling effect of the double cooling chamber is better than that of the single cooling chamber under the same conditions. On the premise that the pipe inlet velocity is 10 m/s, the cooling parameters of the expansion mold of the heat shrinkable tube in the double cooling chamber can be obtained: the cooling water temperature in the pre-cooling section is 323 K, and the cooling water flow rate is 10 m/s. The cooling water temperature of the rapid cooling section is 293 K, and the flow rate o cooling water is 10m/s

Citation Download Citation

Junwei Pu, Zhong Chu, Ruyong Bai, Jizhong Zhang, Bangjian Yuan, and Jian Zhang "Optimal design of hot shrink tube expansion mold based on Fluent", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270943 (19 October 2023); https://doi.org/10.1117/12.2684917

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available