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In recent years, significant progress has been made in additive manufacturing (AM) of pressure sensor-based micro-strip patch antennas (MPAs); however, limited research exists on their application as an Internet of Things (IoT) solution for online health monitoring. This study explores the additive manufacturing of MPA-based pressure sensors as an innovative approach, leveraging AM technology to fabricate the sensors. Before the design and simulation, dielectric characterization of the additively manufactured PLA material was performed. As a result of this characterization, a dielectric constant of 5.9 and a loss tangent of 0.12 were observed. The MPA-based pressure sensor was designed and simulated using HFSS Ansys Student version software based on these values. The sensor’s substrate was fabricated using a fused deposition modeling (FDM) printer. A vector network analyzer (VNA) was subsequently used to assess the pressure sensor’s radiofrequency (Rf) performance and S11 parameters. The results indicate that the proposed solution achieves an acceptable specific absorption rate (SAR) of 1.470 W/kg. Moreover, the resonance frequency was recorded at 3.650 GHz with an insertion loss (S11) of −20.1165dB during simulation. This study demonstrates the feasibility of utilizing AM to develop pressure sensors for IoT-based health monitoring systems.

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Innovative Additive Manufactured Pressure Sensors: Design and Simulation for IoT Health Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Arvind Kumar,
  • S. Anand Kumar,
  • Rahul Gorka,
  • V. Rajkumar

摘要

In recent years, significant progress has been made in additive manufacturing (AM) of pressure sensor-based micro-strip patch antennas (MPAs); however, limited research exists on their application as an Internet of Things (IoT) solution for online health monitoring. This study explores the additive manufacturing of MPA-based pressure sensors as an innovative approach, leveraging AM technology to fabricate the sensors. Before the design and simulation, dielectric characterization of the additively manufactured PLA material was performed. As a result of this characterization, a dielectric constant of 5.9 and a loss tangent of 0.12 were observed. The MPA-based pressure sensor was designed and simulated using HFSS Ansys Student version software based on these values. The sensor’s substrate was fabricated using a fused deposition modeling (FDM) printer. A vector network analyzer (VNA) was subsequently used to assess the pressure sensor’s radiofrequency (Rf) performance and S11 parameters. The results indicate that the proposed solution achieves an acceptable specific absorption rate (SAR) of 1.470 W/kg. Moreover, the resonance frequency was recorded at 3.650 GHz with an insertion loss (S11) of −20.1165dB during simulation. This study demonstrates the feasibility of utilizing AM to develop pressure sensors for IoT-based health monitoring systems.