Accurate motion feature extraction and recognition provide critical information for many scientific problems. Herein, a new paradigm for a wearable seamless multimode sensor with the ability to decouple pressure and strain stimuli and recognize the different joint motion states is reported. This wearable sensor is integrated into a unique seamless structure consisting of two main parts (a resistive component and a capacitive component) to decouple the different stimuli by an independent resistance-capacitance sensing mechanism. The sensor exhibits both high strain sensitivity (GF = 7.62, 0–140% strain) under the resistance mechanism and high linear pressure sensitivity (S = 3.4 kPa−1, 0–14 kPa) under the capacitive mechanism. The sensor can differentiate the motion characteristics of the positions and states of different joints with precise recognition (97.13%) with the assistance of machine learning algorithms. The unique integrated seamless structure is achieved by developing a layer-by-layer casting process that is suitable for large-scale manufacturing. The proposed wearable seamless multimode sensor and the convenient process are expected to contribute significantly to developing essential components in various emerging research fields, including soft robotics, electronic skin, health care, and innovative sports systems applications.

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Based on the Eulerian and k − ε viscous models, a numerical model of liquid-liquid two-phase flow in a T-junction was established. The simulation results were in reasonable agreement with the experimental data. The effects of the mass fraction taken off through branch and mixture velocity on the separation efficiency and pressure drop characteristics were investigated using the validated model. The results illustrate that the separation efficiency first increases and then decreases with an increase in the mass fraction taken off through branch. When the mass fraction taken off through branch is close to the inlet mass quality, the separation efficiency reaches its maximum. The maximum separation efficiency decreases with the increase of the mixture velocity. In addition, the pressure drop from the inlet to the outlet is primarily due to the local resistance at the intersection and frictional resistance in the pipe, and the pressure drop from the inlet to the branch is majorly caused by the gravity in the branch. It was observed that there is a vortex region at the inlet of the outlet pipe, causing pressure losses.