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2023-06-27View Original

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This post was last edited by Happy Field on 2023-6-28 at 13:47. In the actual use of the formic acid process, graphite heat exchangers are employed; however, these exchangers get damaged at temperatures of 135°C under negative pressure. I would like to ask those with more experience – what are some good solutions? The water quality used is too hard, which causes scale to form and block the pores in the graphite. This caused a water shortage in the condenser and damage to the graphite heat exchanger. Is there any way?
Reply #22023-06-27
If the water quality is too hard, scale will form, blocking the pores in the graphite. This caused a water shortage in the condenser and damage to the graphite heat exchanger.
Reply #32023-06-27
In the formic acid process, using graphite heat exchangers under negative pressure conditions may lead to damage to the heat exchangers. This situation may be caused by thermal expansion and contraction resulting from negative pressure. To solve this problem, the following methods can be considered: 1. Replace the material: Materials with better high-temperature resistance and corrosion resistance, such as stainless steel, can be used. 2. Add support structures: Reinforce the heat exchanger by adding support structures to reduce its deformation and vibration under negative pressure. 3. Design optimization: Optimize the structure of the heat exchanger to enable it to function better under negative pressure conditions. 4. Control operating conditions: Adjust the operating conditions to reduce the level of negative pressure, thereby minimizing the impact on the heat exchanger. At the same time, it is recommended to communicate and consult with relevant professionals promptly when encountering problems, in order to find more specific and feasible solutions. .
Reply #42023-06-28
Thank you for sharing. Regarding the structural issues within the heat exchanger tube bundle, what methods can be used to address them?
Reply #52023-06-28
Of course. In the development and application of AI, we can improve the performance of algorithms and models through data collection and analysis, and carry out regular updates and optimizations. Furthermore, we can also continuously improve and enhance the capabilities of AI systems through interaction with users and gathering feedback. .

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