The Prediction of CMDB Propellant lifetime Based on Arrhenius accelerated model, Berthelot’s equation and Multi-step Prout-Tompkins Model

Different models were provided to predict the storage lifetime of propellants more accurately. The stabilizer was recognized as a vital parameter for double based propellants’ storage lifetime estimation. The stabilizer contents of a certain RDX-CMDB propellant were traced during the accelerated aging tests. Based on that, the safe storage lifetime of this propellant were predicted using the Berthelot’s equation, Arrhenius accelerated equation and the advanced kinetic model, respectively. The predicted results were compared and the causes were analysed. It found that the biggest disadvantage of Berthelot’s equation and Arrhenius accelerated equation is that the predicted results are significantly affected by the original data. In details, the minor difference of original data will bring tremendous errors when extrapolating to normal temperature. The general model which can be used to depict complex reactions adopted in AKTS software was preferred compared to reaction order (RO) model and Prout-Tompkins (PT) model.

Pulse Arrival Time - A Sensitive Vital Parameter for the Detection of Mental Stress

Mental stress triggers positive inotropic and chronotropic effects as well as peripheral vasoconstriction. This alters the pulse arrival time (PAT), the duration between electrical excitation of the ventricles and arrival of the pulse wave in the periphery. We conducted a study to examine PAT during five rest blocks and under mental stress utilizing the Mannheim Multicomponent Stress Test. Electrocardiograms as well as finger and earlobe photoplethysmograms were recorded. PAT was calculated for over 135,000 heartbeats from 42 healthy volunteers as the time duration between the R peak in the electrocardiogram and the following pulse onset in the respective photoplethysmogram. To identify the effect of mental stress, block-wise PAT means were statistically analyzed with repeated measures ANOVA. The analyses showed significant differences between the block means for both PAT measures (p < 0.001). Post-hoc tests revealed significantly reduced PAT during the stress block compared to all rest blocks for both PAT measures (p < 0.001). We found no significant differences between the rest blocks. Our results support that PAT is a sensitive vital parameter for the detection of mental stress in healthy volunteers. This holds true for both measurement positions, the finger and the earlobe.

IoT Based Ambulance Alert System for Geriatric people

Geriatric people are more prone to physiological imbalances due to the effect of aging. They face many problems in their day to day life which are needed to be solved before any serious complication arises. Most of the geriatric people are not getting adequate healthcare especially in case of old age homes the manager has to visit them in person to check their condition. Thus, providing them with remote and quick access to healthcare has become crucial. Our work focuses on, design of Internet of Things based vital parameter monitor for geriatric people along with Ambulance alert system. This device helps the old age home managers to monitor the condition of the patients with the help of an application. Based on Internet of Things technology, the application gets the temperature and SpO2 data of a patient and in case of emergency, nearby ambulances are tracked and alerted to save the lives. In addition, it will also be useful for contactless monitoring of patients who are affected by COVID-19 virus.

Deep Learning Enabled Classification of Real Time Respiration Signals Acquired by MoSSe Quantum Dots based Flexible Sensor

: Respiration rate is a vital parameter which is useful for earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different...

Investigation of hybridized composite pressure vessel

Burst pressure is the vital parameter to be strong-minded for their design. Burst pressure is the pressure at which vessel crack and core fluid seep outs. A design shelterbound that ought to not be surpassed. Further than this pressure possibly willescort to mechanical fall foul of and enduring loss of pressure restraint. The present work is aimed in studying the pressure vessel (PV) made with composite material. During the study the PV is fabricated by glass fiber with 90O fiber angle and performed hydrostatic test. Later the same PV is modeled in Ansys and analyzed with various fiber angles to determine the failure by considering their deformation, stress and strain of the PV using GFRP, CFRP and hybrid composites. At last the results obtained are validated.

Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors

The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed “VitalCore”, a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with “interfacing” material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9–100% accuracy in respiratory peak detection.

Calculation of Exergy Destruction of Various Components by Performing Exergy Analysis on Stage-I of Dr. Narla Tatarao Thermal Power Station (N.T.T.P.S)

For any nation to develop power generation plays a crucial role. The performance of a power plant is analyzed by using the Energy balance and it is done by using the first law of thermodynamics. But to know how much energy is being utilized in reality exergy analysis has to be performed which is also called as second law of thermodynamic analysis because the vital parameter quality is being considered in the exergy analysis. this paper deals with the exergy destruction calculation by performing exergy analysis for various components for a 210 mw plant of Vijayawada thermal power station(stage-1 unit-1) and from the analysis it is clear that exergy destruction is more in condenser