A Study on Optical Piezo-Electric Actuator (Response Experiments by U.V. Beam and Photo Response Model)

1992 ◽  
Vol 4 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Shinobu Hattori ◽  
◽  
Toshio Fukuda ◽  
Shigenobu Nagamori ◽  
Keyword(s):  
Response Time ◽  
Light Beam ◽  
Thermal Deformation ◽  
Response Magnitude ◽  
Response Model ◽  
Electric Actuator ◽  
Photo Response ◽  
Piezo Electric

In this paper, we propose a photo response model of the optical piezo-electro actuator, which reacts by light beam. Based on response experiments by U.V. beam, the response in this model is constituted with three effects: 1) photostrictive effect; 2) pyroelectro effect; 3) thermal deformation. Those effects are different in response magnitude and response time each other; influenced by the characteristics of the light beam. In consequence, it is possible that a photo response is controlled by changing characteristics of light beam. As a whole, results of the simulations of this model agree with those of the experiments.

Cerebral Chronological Corollary Perusal for Blitzing Fire Paroxysm and Pipeline Attrition in Nigeria

2021 ◽  
Author(s):  
Daniel Ikechukwu Egu ◽  
Anthony John Ilozobhie
Keyword(s):  
Response Time ◽  
Data Gathering ◽  
Petroleum Products ◽  
Time Response ◽  
Response Model ◽  
Microsoft Excel ◽  
Cumulative Response ◽  
All Solutions ◽  
Industrial Disaster ◽  
Spread Sheet

Abstract Attrition and paroxysm of highly inflammable petroleum products in storage tanks, pipelines and/or haulage trucks is increasingly becoming a scourging socio-environmental quandary with a detrimental effect on the Nigerian economy. Non availability of a holistic response time analytic master plan is a major enigma while industrial disaster managers perhaps are the major culprits since they are mostly not time cognizant for spry and pragmatic delivery of service. The aim of this exposition is to ruminatively carry out cerebral chronological corollary perusal for blitzing fire paroxysms and pipeline attrition in Nigeria on Microsoft excel spread sheet. Comprehensive data validation was done for all models by substituting all solutions of matrix into the predicted time response model. Results of predicted time response model in minutes for case A gave; 101x1 + 79x2 + 59x3 + 45x4 + 24x5 = 358. The predicted time response model for case B gave 78x1 + 56x2 + 43x3 + 30x4 + 13x5 = 260. The predicted time response model for case C gave; 74x1 + 56x2 + 42x3 + 29x4 + 10x5 = 252. Results of these models shows that the average cumulative response time dropped from 3.58 minutes to 2.52 minutes from case A to case C while the coefficients all reduced in their values from model A to C. Improving the source of data gathering and computational processes is recommended for enhancement of this study.

scholarly journals Possible biases in scaling-based estimates of glacier change: a case study in the Himalaya

2020 ◽  
Vol 14 (9) ◽  
pp. 3235-3247
Author(s):  
Argha Banerjee ◽  
Disha Patil ◽  
Ajinkya Jadhav
Keyword(s):  
Response Time ◽  
Climate Sensitivity ◽  
Linear Response ◽  
Model Simulation ◽  
Change Scenario ◽  
Response Model ◽  
Future Evolution ◽  
Scaling Model ◽  
Mountain Glaciers

Abstract. Approximate glacier models are routinely used to compute the future evolution of mountain glaciers under any given climate-change scenario. A majority of these models are based on statistical scaling relations between glacier volume, area, and/or length. In this paper, long-term predictions from scaling-based models are compared with those from a two-dimensional shallow-ice approximation (SIA) model. We derive expressions for climate sensitivity and response time of glaciers assuming a time-independent volume–area scaling. These expressions are validated using a scaling-model simulation of the response of 703 synthetic glaciers from the central Himalaya to a step change in climate. The same experiment repeated with the SIA model yields about 2 times larger climate sensitivity and response time than those predicted by the scaling model. In addition, the SIA model obtains area response time that is about 1.5 times larger than the corresponding volume response time, whereas scaling models implicitly assume the two response times to be equal to each other. These results indicate the possibility of a low bias in the scaling model estimates of the long-term loss of glacier area and volume. The SIA model outputs are used to obtain parameterisations, climate sensitivity, and response time of glaciers as functions of ablation rate near the terminus, mass-balance gradient, and mean thickness. Using a linear-response model based on these parameterisations, we find that the linear-response model outperforms the scaling model in reproducing the glacier response simulated by the SIA model. This linear-response model may be useful for predicting the evolution of mountain glaciers on a global scale.

scholarly journals Development of inchwarm for STM using piezo-electric actuator.

1995 ◽  
Vol 7 (1) ◽  
pp. 24
Author(s):  
Yasurou Matsuo ◽  
Kenji Koizumi ◽  
Tsunenori Suzuki
Keyword(s):  
Electric Actuator ◽  
Piezo Electric

scholarly journals Temporally Staggered Forelimb Stimulation Modulates Barrel Cortex Optical Intrinsic Signal Responses to Whisker Stimulation

2002 ◽  
Vol 88 (1) ◽  
pp. 422-437 ◽  
Author(s):  
Anne J. Blood ◽  
Nader Pouratian ◽  
Arthur W. Toga
Keyword(s):  
Response Time ◽  
Time Course ◽  
Barrel Cortex ◽  
Functional Neuroimaging ◽  
Stimulus Onset ◽  
Response Magnitude ◽  
Intrinsic Signal ◽  
Time To Peak ◽  
Optical Intrinsic Signal ◽  
Whisker Stimulation

Characterization of neurovascular relationships is critical to accurate interpretation of functional neuroimaging data. We have previously observed spatial uncoupling of optical intrinsic signal imaging (OIS) and evoked potential (EP) responses in rodent barrel cortex following simultaneous whisker and forelimb stimulation, leading to changes in OIS response magnitude. To further test the hypothesis that this uncoupling may have resulted from “passive” overspill of perfusion-related responses between functional regions, we conducted the present study using temporally staggered rather than simultaneous whisker and forelimb stimulation. This paradigm minimized overlap of neural responses in barrel cortex and forelimb primary somatosensory cortex (SI), while maintaining overlap of vascular response time courses between regions. When contrasted with responses to 1.5-s lone-whisker stimulation, staggered whisker and forelimb stimulation resulted in broadening of barrel cortex OIS response time course in the temporal direction of forelimb stimulation. OIS response peaks were also temporally shifted toward the forelimb stimulation period; time-to-peak was shorter (relative to whisker stimulus onset) when forelimb stimulation preceded whisker stimulation and longer when forelimb stimulation followed whisker stimulation. In contrast with OIS and EP magnitude decreases previously observed during simultaneous whisker/forelimb stimulation, barrel cortex OIS response magnitude increased during staggered stimulation and no detectable changes in underlying EP activity were observed. Spatial extent of barrel cortex OIS responses also increased during staggered stimulation. These findings provide further evidence for spatial uncoupling of OIS and EP responses, and emphasize the importance of temporal stimulus properties on the effects of this uncoupling. It is hypothesized that spatial uncoupling is a result of passive overspill of perfusion-related responses into regions distinct from those which are functionally active. It will be important to consider potential influences of this uncoupling when designing and interpreting functional imaging studies that use hemodynamic responses to infer underlying neural activity.

Sign in / Sign up

Export Citation Format

Share Document