Welcome Customer !

Membership

Help

Shanghai Yishuo Experimental Instrument Factory
Custom manufacturer

Main Products:

instrumentb2b>Article

Shanghai Yishuo Experimental Instrument Factory

  • E-mail

    yishuosh@126.com

  • Phone

    18019766383

  • Address

    1st Floor, Building D, 6688 Songze Avenue, Qingpu, Shanghai

Contact Now
What methods can improve the efficiency of the rapid temperature change test chamber
Date: 2025-12-23Read: 0
To improve the efficiency of the rapid temperature change test chamber, comprehensive measures need to be taken from three aspects: hardware performance optimization, intelligent control upgrade, and scientific operation and maintenance. The following are specific strategies:
1、 Hardware system optimization
-Refrigeration system upgrade
-Adopting cascade refrigeration technology: By using a two-stage or three-stage compression system, the refrigeration efficiency in low-temperature areas is significantly improved, especially suitable for rapid cooling scenarios of ≤ -40 ℃.
-Efficient compressor and refrigerant management: Select compressors from brands such as Bizelle and Taikang, combined with environmentally friendly refrigerants (such as R404A), to improve heat exchange efficiency; Regularly check the pressure of the refrigerant to avoid leakage and efficiency decline.
-Liquid nitrogen assisted system: For ultra-high temperature requirements (≥ 15 ℃/min), integrated liquid nitrogen injection device is used to achieve transient impact from -70 ℃ to+180 ℃, meeting the needs of chip packaging and testing.
-Air duct and thermal cycle design
-Strong convection duct structure: using high-power centrifugal fans combined with adjustable deflectors to achieve temperature uniformity error of ≤± 0.5 ℃ inside the box, reducing dead corners.
-Dynamic airflow regulation: Real time adjustment of wind speed through EC fans to optimize the heat exchange rate of high load specimens (such as automotive engine modules).
-Box insulation strengthening
-Multi layer composite insulation material: The inner wall is filled with a high-density polyurethane foam layer with a thickness of ≥ 100mm, and covered with a low radiation coating to suppress heat loss.
-Sealing improvement: The double-layer silicone sealing door is equipped with a magnetic lock buckle to isolate cold and heat exchange and reduce energy consumption.
2、 Optimization of intelligent control algorithms
-High precision temperature control system
-Sensor selection: PT100 platinum resistance or T-type thermocouple is used, with an acquisition accuracy of ± 0.1 ℃; Combine infrared temperature measurement module to compensate for surface temperature difference.
-PID parameter self-tuning: Introducing fuzzy logic algorithm to dynamically adjust the proportional integral derivative parameters based on load changes, controlling temperature fluctuations within ± 0.3 ℃.
-Programmed temperature change strategy
-Slope type temperature rise and fall: replacing the mutation mode, setting an intermediate dwell point during high and low temperature switching (such as briefly maintaining -10 ℃ in the path of -40 ℃ →+85 ℃), reducing equipment load and improving stability.
-Multi segment programmable logic: supports complex curve editing (such as the military standard "five step impact method"), and is suitable for comprehensive environmental testing of aerospace components.
3、 Operation and maintenance standards
-Scientific loading principle
-The total volume of the test piece should be ≤ 1/3 of the inner box volume, and the spacing between individual pieces should be ≥ 5cm to avoid obstructing airflow circulation.
-Place high-quality components (such as lithium battery packs) in the central area to extend the temperature stabilization time.
-Preventive Maintenance Plan
-Monthly maintenance: Clean the dust accumulation on the air-cooled condenser (once a month for air-cooled models), and check the sealing of the refrigeration pipeline.
-Half year calibration: Entrust a third-party organization to calibrate the sensor according to GB/T 5170 standard, and replace it immediately if the deviation exceeds ± 1 ℃.
-Software iteration: Update control firmware to optimize response speed, analyze temperature trends using historical data, and adjust strategies.