Intelligent hermetically sealed LTCC Package with an integrated sensor system for avionics

2012 ◽  
Vol 2012 (CICMT) ◽  
pp. 000507-000511
Author(s):  
Josef Leschik ◽  
Anton Harasim ◽  
Jens Müller
Keyword(s):  
Pressure Sensor ◽  
Temperature Sensor ◽  
Internal State ◽  
Fabrication Process ◽  
Sensor System ◽  
Integrated Sensors ◽  
Integrated Sensor ◽  
Self Monitoring ◽  
First Results

In this article, the fabrication process and the first results of a deep-drawn LTCC housing with integrated sensors in the field of avionic are presented This housing includes a pressure sensor that monitors the density of the housing - “self monitoring”. Furthermore, a humidity and a temperature sensor in the inner or outer layers of the LTCC decks are implemented, so that the internal state of the circuit can be monitored. Due to high integration (miniaturization) of the sensors the condition of the circuit can be monitored continuously. This allows the assembly upon the occurrence of an irregularity, such as the increase in moisture, to be replaced specifically. As a result, high costs in the field of material, maintenance, repairing und breakdown can be saved.

scholarly journals A Flexible Integrated Bending Strain and Pressure Sensor System for Motion Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3969
Author(s):  
Rou Feng ◽  
Yifeng Mu ◽  
Xiangwen Zeng ◽  
Weijie Jia ◽  
Yuxuan Liu ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
High Performance ◽  
Mechanical Stability ◽  
Silver Nanowires ◽  
Low Cost ◽  
Sensor System ◽  
Gauge Factor ◽  
Integrated Sensor ◽  
Bending Strain ◽  
Application Potential

Flexible sensors have attracted increasing research interest due to their broad application potential in the fields of human–computer interaction, medical care, sports monitoring, etc. Constructing an integrated sensor system with high performance and being capable of discriminating different stimuli remains a challenge. Here, we proposed a flexible integrated sensor system for motion monitoring that can measure bending strain and pressure independently with a low-cost and simple fabrication process. The resistive bending strain sensor in the system is fabricated by sintering polyimide (PI), demonstrating a gauge factor of 9.54 and good mechanical stability, while the resistive pressure sensor is constructed based on a composite structure of silver nanowires (AgNWs) and polydimethylsiloxane (PDMS)-expandable microspheres with a tunable sensitivity and working range. Action recognition is demonstrated by attaching the flexible integrated sensor system on the wrist with independent strain and pressure information recorded from corresponding sensors. It shows a great application potential in motion monitoring and intelligent human–machine interfaces.

A Micromachined Integrated Sensor for Pressure, Temperature and Humidity

2007 ◽  
Author(s):  
Yulong Zhao ◽  
Zhuangde Jiang ◽  
Libo Zhao ◽  
Jingbo Xu
Keyword(s):  
Pressure Sensor ◽  
Temperature Sensor ◽  
Humidity Sensor ◽  
Polyimide Film ◽  
Polymer Materials ◽  
Sensor Chip ◽  
Absolute Pressure ◽  
Integrated Sensor ◽  
Chip Size ◽  
The Absolute

In this paper, the technology of a micromachined sensors chip, on which an absolute pressure sensor, a temperature sensor and a humidity sensor are integrated, is described. The absolute pressure sensor uses a bulk micromachined diaphragm structure with piezoresistors. For temperature sensing, a silicon temperature sensor is fabricated based on the spreading resistance principle. And the humidity sensor is a capacitive humidity one with polyimide film and interdigitated capacitance electrodes. The anisotropy of (100) n-type silicon is used to design and fabricate the integrated sensor chip. The different piezoresistive orientations are used for the absolute pressure sensor and the temperature sensor to reduce the interference between each other. The humidity sensor is made up of 49 pairs of aluminum electrodes and one kind of polyimide. This polyimide material consists of 65% polyvinyl alcohol and 35% carbon black. The fabrication and package processes are introduced. And the sensor chip size is 5mm × 5mm. Each sensor in the integrated chip shows good sensor characteristics except for humidity sensor. However, the linearity and hysteresis of humidity sensor can be improved by selecting the proper polymer materials and structure.

scholarly journals Knetex – Development of a textile-integrated sensor system for feedback-supported rehabilitation after surgery of the anterior cruciate ligament

2020 ◽  
Vol 6 (3) ◽  
pp. 368-371
Author(s):  
Julia Demmer ◽  
A. Kitzig ◽  
N. Schlage ◽  
G. Stockmanns ◽  
E. Naroska
Keyword(s):  
Anterior Cruciate Ligament ◽  
Cruciate Ligament ◽  
Sensors And Actuators ◽  
Integrated Sensor ◽  
Rehabilitation Process ◽  
Active User ◽  
Smart Textile ◽  
First Results ◽  
Anterior Cruciate ◽  
The One

AbstractPatients often report an effect after surgery of the anterior cruciate ligament which is called "giving way". This manifest itself by a drop of the knee or a felt instability. This phenomenon is difficult to measure and validate because it usually does not occur regularly and is not reproducible under laboratory conditions. The Knetex project takes up this point by trying to actively support the rehabilitation process with a bandage that can be worn in everyday life and is constructed as a smart textile using sensors and actuators. For this purpose, on the one hand it is attempted to actively record the phenomenon of the "giving way" by measuring knee angles etc. and by active user feedback. At the same time, the patient is specifically advised by means of actuators to correct incorrect posture or movement in order to make the rehabilitation process more effective and prevent further damage. Two 9-axis IMUs (inertial measurement units) form the basis of the system. These are used together with a textile strain sensor to calculate the knee angles. This paper gives an overview of the planned system, the initial experiments to measure the knee angles and the first results of the actuator study.

scholarly journals Pressure Sensor System for Customized Scoliosis Braces

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1153
Author(s):  
Franz Konstantin Fuss ◽  
Asliza Ahmad ◽  
Adin Ming Tan ◽  
Rizal Razman ◽  
Yehuda Weizman
Keyword(s):  
Pressure Sensor ◽  
Testing Machine ◽  
Force Plate ◽  
Cost Effective ◽  
Mobile Systems ◽  
Sensor System ◽  
Closed Cell ◽  
Hard Shell ◽  
Energy Absorbers ◽  
Material Testing Machine

Hard-shell thoracolumbar sacral orthoses (TLSOs) are used for treating idiopathic scoliosis, a deformation of the spine with a sideways curvature. The pressure required inside the TLSO for ideal corrective results remains unclear. Retrofitting TLSOs with commercially available pressure measurement systems is expensive and can only be performed in a laboratory. The aim of this study was to develop a cost-effective but accurate pressure sensor system for TLSOs. The sensor was built from a piezoresistive polymer, placed between two closed-cell foam liners, and evaluated with a material testing machine. Because foams are energy absorbers, the pressure-conductance curve was affected by hysteresis. The sensor was calibrated on a force plate with the transitions from loading to unloading used to establish the calibration curve. The root mean square error was 12% on average within the required pressure range of 0.01–0.13 MPa. The sensor reacted to the changing pressure during breathing and different activities when tested underneath a chest belt at different tensions. The peak pressure reached 0.135 MPa. The sensor was further tested inside the scoliosis brace during different activities. The measured pressure was 0.014–0.124 MPa. The results from this study enable cheaper and mobile systems to be used for clinical studies on the comfort and pressure of braces during daily activities.

A Real Time Vehicle Collision Sensor and Reporting System Using Load Sensor, GSM and GPS Technology

2013 ◽  
Vol 718-720 ◽  
pp. 1740-1745
Author(s):  
Tulu Muluneh Mekonnen ◽  
De Ning Jiang ◽  
Yong Xin Feng
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Reporting System ◽  
Electronic Device ◽  
Text Message ◽  
Sensor System ◽  
Gps Receiver ◽  
Gps Technology ◽  
Vehicle Collision ◽  
Load Sensor

Vehicle collision sensor system and reporting accident to police is an electronic device installed in a vehicle to inform police man in case of accident to track the vehicles location. This system works using pressure sensor, GPS and GSM technology. These technology embedded together to sense the vehicle collision and indicate the position of the vehicle or locate the place of accident in order to solve the problem immediately (as soon as possible).For doing so AT89S52 microcontroller is interfaced serially to a GSM modem, GPS receiver, and pressure sensor. A GSM modem is used to send the position (Latitude and Longitude) of the vehicle, the plate of the vehicle and the SMS text from the accident place. The GPS modem will continuously give the data (longitude and latitude) and Load sensor senses the collision of the vehicle against obstacles and input to microcontroller. As load sensor senses the collision, the GSM start to send the plate of the vehicle, text message and the position of the vehicle in terms of latitude and longitude in real time.

scholarly journals Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3790
Author(s):  
Zachary Choffin ◽  
Nathan Jeong ◽  
Michael Callihan ◽  
Savannah Olmstead ◽  
Edward Sazonov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pressure Sensor ◽  
Learning Algorithm ◽  
Flexible Substrate ◽  
Ankle Injuries ◽  
Sensor System ◽  
Measurement Unit ◽  
K Nearest Neighbor ◽  
Machine Learning Technique ◽  
Learning Technique

Ankle injuries may adversely increase the risk of injury to the joints of the lower extremity and can lead to various impairments in workplaces. The purpose of this study was to predict the ankle angles by developing a footwear pressure sensor and utilizing a machine learning technique. The footwear sensor was composed of six FSRs (force sensing resistors), a microcontroller and a Bluetooth LE chipset in a flexible substrate. Twenty-six subjects were tested in squat and stoop motions, which are common positions utilized when lifting objects from the floor and pose distinct risks to the lifter. The kNN (k-nearest neighbor) machine learning algorithm was used to create a representative model to predict the ankle angles. For the validation, a commercial IMU (inertial measurement unit) sensor system was used. The results showed that the proposed footwear pressure sensor could predict the ankle angles at more than 93% accuracy for squat and 87% accuracy for stoop motions. This study confirmed that the proposed plantar sensor system is a promising tool for the prediction of ankle angles and thus may be used to prevent potential injuries while lifting objects in workplaces.

scholarly journals Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements

2017 ◽  
Vol 10 (9) ◽  
pp. 3575-3588 ◽  
Author(s):  
Eben S. Cross ◽  
Leah R. Williams ◽  
David K. Lewis ◽  
Gregory R. Magoon ◽  
Timothy B. Onasch ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Lower Cost ◽  
Electrochemical Sensors ◽  
Air Pollutant ◽  
Sensor System ◽  
Time Interval ◽  
High Dimensional Model Representation ◽  
Integrated Sensor ◽  
Mean Square Errors

Abstract. The environments in which we live, work, and play are subject to enormous variability in air pollutant concentrations. To adequately characterize air quality (AQ), measurements must be fast (real time), scalable, and reliable (with known accuracy, precision, and stability over time). Lower-cost air-quality-sensor technologies offer new opportunities for fast and distributed measurements, but a persistent characterization gap remains when it comes to evaluating sensor performance under realistic environmental sampling conditions. This limits our ability to inform the public about pollution sources and inspire policy makers to address environmental justice issues related to air quality. In this paper, initial results obtained with a recently developed lower-cost air-quality-sensor system are reported. In this project, data were acquired with the ARISense integrated sensor package over a 4.5-month time interval during which the sensor system was co-located with a state-operated (Massachusetts, USA) air quality monitoring station equipped with reference instrumentation measuring the same pollutant species. This paper focuses on validating electrochemical (EC) sensor measurements of CO, NO, NO2, and O3 at an urban neighborhood site with pollutant concentration ranges (parts per billion by volume, ppb; 5 min averages, ±1σ): [CO]  =  231 ± 116 ppb (spanning 84–1706 ppb), [NO]  =  6.1 ± 11.5 ppb (spanning 0–209 ppb), [NO2]  =  11.7 ± 8.3 ppb (spanning 0–71 ppb), and [O3]  =  23.2 ± 12.5 ppb (spanning 0–99 ppb). Through the use of high-dimensional model representation (HDMR), we show that interference effects derived from the variable ambient gas concentration mix and changing environmental conditions over three seasons (sensor flow-cell temperature  =  23.4 ± 8.5 °C, spanning 4.1 to 45.2 °C; and relative humidity  =  50.1 ± 15.3 %, spanning 9.8–79.9 %) can be effectively modeled for the Alphasense CO-B4, NO-B4, NO2-B43F, and Ox-B421 sensors, yielding (5 min average) root mean square errors (RMSE) of 39.2, 4.52, 4.56, and 9.71 ppb, respectively. Our results substantiate the potential for distributed air pollution measurements that could be enabled with these sensors.

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