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How is the temperature control accuracy of the semiconductor cooling table ensured?
Date: 2025-08-28Read: 0

The semiconductor cooling and heating table achieves high-precision temperature control through the collaborative design of "core components+detection feedback+intelligent algorithms+hardware optimization". The specific guarantee path can be broken down into the following four aspects:

1、 Accurate temperature control capability of core temperature control components
The temperature control core of the semiconductor cooling table is the semiconductor cooling chip (TEC), which achieves bidirectional temperature control (cooling/heating) through the "Peltier effect", and is the basis for ensuring accuracy:
Quick response feature: TEC does not require refrigerant and can change the cooling and heating power in real time by adjusting the input current. The response speed can reach millisecond level, which can quickly offset temperature fluctuations and avoid deviation expansion;
Fine power regulation: Paired with a high-precision DC stabilized power supply, it can achieve microampere level current regulation (such as precision ± 1mA within the range of 0-5A), corresponding to the linear variation of TEC's cold and hot power, ensuring "fine-grained" temperature regulation and avoiding overshoot;
Multi group array layout: For large-area sample tables, multiple TEC groups are uniformly distributed (such as 4-8 groups), and local temperature differences are eliminated through independent current control to ensure temperature uniformity in the sample area (usually ≤± 0.1 ℃), avoiding the problem of "single point accuracy but overall unevenness".
2、 High precision temperature detection and real-time feedback
The premise of "accurate control" is "measurement", and the semiconductor cooling table ensures detection accuracy through high-sensitivity temperature sensors and close range sampling design:
Sensor selection: Platinum resistors (Pt1000) or thermocouples (K-type/J-type) are commonly used, among which Pt1000 has an accuracy of ± 0.05 ℃ in the range of -50~200 ℃, far higher than ordinary sensors;
Sampling position optimization: The sensor is directly embedded inside the sample stage (or closely attached to the sample contact surface), rather than detecting the ambient temperature, to reduce thermal conduction hysteresis (hysteresis time ≤ 0.5 seconds) and ensure that the feedback temperature is consistent with the actual temperature of the sample;
Signal processing optimization: Suppressing electromagnetic interference (such as interference from internal circuits and external power sources) through differential amplification circuits and filtering modules, avoiding signal fluctuations in detection, and ensuring stable temperature data.
3、 Dynamic adjustment of intelligent closed-loop control algorithm
The essence of temperature control is the process of "deviation correction", and closed-loop control algorithms are the "brain" that ensures accuracy. The mainstream solutions include:
Basic PID Control: Calculated through the three links of "Proportional (P) - Integral (I) - Differential (D)":
Proportional stage: Adjust the TEC power in real-time based on the current temperature deviation (set value actual value). The larger the deviation, the more significant the power adjustment;
Integral stage: Accumulate historical deviations and eliminate static errors (such as small deviations during long-term insulation);
Differential stage: Predict the temperature change trend (such as reducing power in advance when the temperature rises too quickly), avoid overshoot (such as setting 50 ℃, the actual temperature will not rise to 52 ℃ and then fall back);
Advanced algorithm optimization: For complex scenarios such as sample heating and environmental temperature fluctuations, "fuzzy PID" or "adaptive PID" can be used to automatically adjust PID parameters (without manual intervention), further controlling temperature fluctuations within the range of ± 0.01~± 0.1 ℃.
4、 Auxiliary support for hardware structure and environmental compensation
In addition to the core mechanism, hardware design and environmental adaptation can reduce external interference and consolidate accuracy:
Sample stage and insulation design: The sample stage is made of high thermal conductivity and low expansion materials (such as oxygen free copper and aluminum alloy) to avoid deformation caused by temperature changes; External insulation layer (such as ceramic or insulation cotton) is used to reduce heat loss to the environment and minimize the impact of environmental temperature on temperature control;
Power stability guarantee: Adopting an isolated DC power supply to avoid voltage fluctuations in the power grid (such as 220V ± 10% fluctuations) affecting TEC current, ensuring stable power output;
Regular calibration mechanism: The equipment is calibrated with standard thermometers (such as precision mercury thermometers and infrared thermometers) before leaving the factory. Users need to calibrate it every 6-12 months to ensure that the benchmark accuracy of detection and control does not drift.
In summary, the semiconductor cooling and heating table can achieve temperature control accuracy of ± 0.01~± 0.1 ℃ through multi-layer guarantees of "TEC fine temperature control+high-precision detection feedback+intelligent closed-loop algorithm+hardware anti-interference design", meeting the temperature sensitive scene requirements of material testing, biological experiments, etc.