Material selection
• Use high-quality sensitive materials: Select materials with high sensitivity, high stability and low hysteresis as sensitive elements, such as constantan and nickel-chromium alloys commonly used in metal strain gauges. These materials can accurately convert changes in force into changes in resistance, providing a basis for accurate measurement.
• Use high-performance elastomer materials: The elastomer is a key component of the sensor that can withstand force. By selecting materials with high strength, high elastic modulus and good creep characteristics, such as aluminum alloy and alloy steel, it can be ensured that the deformation of the elastomer can accurately reflect the force under long-term stress and can quickly return to its original shape, reducing measurement errors.
Manufacturing process optimization
• Photolithography and etching technology: Utilizing advanced photolithography and etching processes to manufacture the sensor's sensitive elements and circuits enables the creation of miniature and high-precision structures, improving the sensor's resolution and accuracy.
• Precision Machining and Assembly: High-precision machining equipment and processes are employed during the elastomer machining process to ensure dimensional accuracy and surface quality, thereby guaranteeing the accuracy of force transmission and measurement. Simultaneously, automated precision assembly technology is used during assembly to reduce errors caused by human factors and improve the consistency and reliability of sensors.
• Packaging process: Advanced packaging technology is used to seal and protect the sensor from external environmental factors (such as humidity, dust, vibration, etc.), thereby improving the stability and reliability of the sensor.
Circuit Design and Compensation
• Employ high-precision measurement circuits: Design measurement circuits with high resolution and low noise to accurately measure the weak signals output by sensitive components and convert them into processable electrical signals. For example, use high-precision amplifiers, analog-to-digital converters, and other chips to improve the amplification and conversion accuracy of signals.
• Temperature compensation technology: Since temperature changes can affect the performance of sensors, temperature compensation components and circuits are added to the circuit to monitor temperature changes in real time and compensate for the measurement results, thereby reducing the impact of temperature on measurement accuracy.
• Linearity compensation: The output characteristics of a sensor may have a certain degree of nonlinearity. By using software algorithms or hardware circuits to compensate for its linearity, the output of the sensor can be made to have a more accurate linear relationship with the force applied, thereby improving the measurement accuracy.
Calibration and Testing
• High-precision calibration equipment: Use high-precision calibration equipment, such as standard force sources and weights, to calibrate the sensor and ensure that the error between the sensor's measured value and the true value is within the allowable range.
• Rigorous testing process: Multiple rounds of rigorous testing are conducted during the sensor production process, including performance testing, environmental testing, reliability testing, etc., to comprehensively test all indicators of the sensor, promptly screen out unqualified products, and ensure product quality.
• Regular calibration and maintenance: During the use of the sensor, it should be calibrated and maintained regularly to promptly detect and correct any deviations, ensuring that the sensor always maintains high accuracy and high reliability.
Intelligent Algorithms and Self-Diagnosis
• Data fusion and filtering algorithms: Utilizing advanced data fusion and filtering algorithms, the data collected by the sensors is processed to remove noise and interference, thereby improving the accuracy and stability of the data.
• Self-diagnostic function: The sensor has a built-in self-diagnostic circuit and algorithm, which can monitor its own working status in real time, such as whether the sensitive element is damaged or the circuit is normal. Once an abnormality is detected, an alarm signal will be issued in time to remind the user to repair or replace it, thereby improving the reliability of the system.
