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This work focuses on the void fraction measurement of gas-liquid two-phase flow by a 12electrode contactless resistivity array sensor. A 12-electrode contactless resistivity array sensor, which can realize different excitation patterns, is developed. Five different excitation patterns (1-electrode excitation pattern, 2-electrode excitation pattern, 3-electrode excitation pattern, 4-electrode excitation pattern and 5-electrode excitation pattern) and three two-phase distributions (bubble flow, stratified flow and annular flow) are investigated. Two data processing approaches, the data average method and the principal component regression (PCR) method, are used to establish the void fraction measurement models and hence to implement the void fraction measurement. With the 12-electrode contactless resistivity array sensor, void fraction measurement experiments are carried out. Experimental results show that the void fraction measurement performances are different under different excitation patterns. Among the studied five different excitation patterns, the 5-electrode excitation pattern has the best void fraction measurement performance and the absolute values of void fraction measurement errors of the three two-phase distributions are all less than 5.0% (using data average method) and 3.0% (using PCR method). Research results indicate that the 5electrode excitation pattern + PCR combination is a new effective way to implement void fraction measurement of gas-liquid two-phase flow with the 12-electrode contactless resistivity array sensor.

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