Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Additive Printing of Wearable EDA Sensors on In-Mold Electronics on Automotive Platformcitations
  • 2022Effect of U-Flex-to-Install and Dynamic U-Flexing on Li-Ion Battery State of Health Degradation Subjected to Varying Fold Orientations, Folding Speeds, Depths of Charge, C-Rates, and Temperatures1citations
  • 2022Multilayer Conductive Metallization With Offset Vias Using Aerosol Jet Technology1citations
  • 2022Process-Recipe Development for Printing of Multilayer Circuitry With <i>Z</i>-Axis Interconnects Using Aerosol-Jet Printed Dielectric Vias1citations
  • 2020Process Capability of Aerosol-Jet Additive Processes for Long-Runs Up to 10-Hours6citations
  • 2020Flexure and Twist Test Reliability Assurance of Flexible Electronics2citations

Places of action

Chart of shared publication
Lall, Pradeep
6 / 19 shared
Soni, Ved
2 / 2 shared
Goyal, Kartik
1 / 2 shared
Narangaparambil, Jinesh
2 / 3 shared
Kothari, Nakul
1 / 1 shared
Leever, Benjamin
1 / 1 shared
Abrol, Amrit
1 / 1 shared
Leever, Ben
1 / 1 shared
Chart of publication period
2023
2022
2020

Co-Authors (by relevance)

  • Lall, Pradeep
  • Soni, Ved
  • Goyal, Kartik
  • Narangaparambil, Jinesh
  • Kothari, Nakul
  • Leever, Benjamin
  • Abrol, Amrit
  • Leever, Ben
OrganizationsLocationPeople

document

Additive Printing of Wearable EDA Sensors on In-Mold Electronics on Automotive Platform

  • Lall, Pradeep
  • Miller, Scott
Abstract

<jats:title>Abstract</jats:title><jats:p>Additive fabrication techniques for fabricating printed circuit boards obviate the necessity for costly equipment, such as etching vessels or photomasks for eliminating metallization and photoresist. Software-driven design and fabrication enable production flexibility as well as expedited tool modifications and design enhancements. Furthermore, additive printing methods can be utilized on various substrates, vehicles, and polymers with diverse geometries and textures, while previous methods need to have complex and costlier processes. On the regards that it allows for more flexibility and creativity in designing PCBs, this affords engineers the opportunity to devise diverse applications, such as wearable biosensors like an EDA sensor to monitor and measure various aspects of the human body’s health and stresses. Wearable biosensors can tract parameters of biosignals which can provide useful information for medical assessment of drivers. Previous investigations have examined the development of additively printed wearable biosensors owing to their potential for adaptability and integration. Nonetheless, there are reservations about the stability of current wearable biosensor technology when it is exposed to flexural strain. They have some challenge to overcome many harsh environments condition which various mechanical stress involve to. To circumvent stability issues, it is imperative to develop a superior fabricating technique and assessment of reliability. In this research paper, additive fabrication methods were used to create printed circuit boards (PCBs) for wearable biosensors without expensive equipment or processes. These methods allow us to design and modify PCBs quickly and easily using software, as well as print PCBs on different materials and shapes, such as thermoformable substrates that can be molded by heat and pressure. We focused on electrodermal activity (EDA) sensors that measure skin conductance for driver monitoring. The EDA sensor measures skin conductance for driver monitoring purposes. We printed EDA sensor circuits on thermoformable substrates using a direct-write printing technique with an nScrypt printer. The thermoformable substrate is a material that can be molded by heat and pressure into different shapes such as curved or flat surfaces. Correspondingly, we thermoformed the PCBs into various shapes for reliability testing. We evaluated the biosensor’s performance by analyzing the biosignals under different harsh conditions such as thermoformed shape, temperature, humidity, and human body status (resting, walking, etc.) with respect to driving scenarios such as normal driving and emergency braking. We also tested and evaluated the sensor’s accuracy and reliability in these conditions considering many aspects of characteristics of the sensors by comparing it with a reference device (Max30009 and 3M electrode). The results showed that our additive PCB-based EDA sensor could successfully measure skin conductance with acceptable error margins. The sensor also demonstrated good mechanical robustness when thermoformed into different shapes in the car. In conclusion, we have developed an EDA sensor using additive fabrication techniques for printed circuit boards. Our sensor can monitor driver’s stress level with high reliability and flexibility.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • texture
  • etching