scholarly journals Hydrodynamic luminescence in a model diesel injector return valve

2019 ◽  
pp. 146808741987042 ◽  
Author(s):  
Russell D Lockett ◽  
Alberto Bonifacio
Keyword(s):  
Spectral Analysis ◽  
Diesel Fuel ◽  
Single Phase ◽  
Spectral Lines ◽  
Violet Emission ◽  
Thermal Features ◽  
Nozzle Hole ◽  
Model Diesel ◽  
Multi Phase ◽  
Return Valve

A sample of unadditized diesel fuel was passed through an optically accessible model diesel injector return valve, which consisted of two successive nozzles connected to an intermediate fuel gallery. The first nozzle was cylindrical, while the second nozzle was stepped. The fuel was observed to produce a multi-phase, cavitating flow and a luminous blue-violet emission at the entrance to the second nozzle hole. The flow in the upstream intermediate fuel gallery and the first nozzle hole remained single-phase. Spectral analysis of the luminous emission revealed a spectrum with thermal features containing broad spectral lines and peaks at 358, 389, 405, 412, 430 and 475 nm, suggesting that the emission was dominated by π*→π transitions in the alkylated mono-, di-, and tri-aromatics, with additional spectral contributions from CH, C2, C3 and hydrogen (H).

The Work Hardening of Single Phase and Multi-Phase Aluminium Alloys

2006 ◽  
Vol 519-521 ◽  
pp. 71-78 ◽  
Author(s):  
J. David Embury ◽  
Warren J. Poole ◽  
David J. Lloyd
Keyword(s):  
Work Hardening ◽  
Aluminium Alloys ◽  
Single Phase ◽  
Dynamic Recovery ◽  
Uniform Elongation ◽  
Strengthening Mechanisms ◽  
Plastic Response ◽  
Spring Back ◽  
Hardening Process ◽  
Multi Phase

The process of work hardening in aluminum alloys is important from the viewpoint of formability and the prediction of the properties of highly deformed products. However the complexity of the strengthening mechanisms in these materials means that one must carefully consider the interaction of dislocations with the detailed elements of the microstructure and the related influence of the elements on dislocation accumulation and dynamic recovery. In addition, it is necessary to consider the influence of the work hardening process at various levels of plastic strain. This permits the possibility of designing microstructure for tailored plastic response, e.g. not simply designed for yield strength but also considering uniform elongation, spring-back, ductility etc. This presentation will explore the concept of identifying the various interactions which govern the evolution of the work hardening and their possible role in alloy design.

scholarly journals Simultaneous Extraction of Sulfur and Nitrogen Compounds from Model Diesel Fuel Using Neoteric Green Solvents

ACS Omega ◽  
2021 ◽  
Author(s):  
Hurun E. Suhaimi ◽  
Hanee F. Hizaddin ◽  
Irfan Wazeer ◽  
Lahssen El Blidi ◽  
Mohd A. Hashim ◽  
...  
Keyword(s):  
Diesel Fuel ◽  
Nitrogen Compounds ◽  
Green Solvents ◽  
Simultaneous Extraction ◽  
Model Diesel ◽  
Sulfur And Nitrogen Compounds

Abstract 77: Ongoing Leakage Revealed by Second Phase Spot Sign Volume Expansion in Multi-Phase Computed Tomography Angiography Strongly Predicts Intracranial Hemorrhage Growth

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Abdulaziz Al Sultan ◽  
Ericka Teleg ◽  
MacKenzie Horn ◽  
Piyush Ojha ◽  
Linda Kasickova ◽  
...  
Keyword(s):  
Volume Expansion ◽  
Single Phase ◽  
Meta Analysis ◽  
Hematoma Expansion ◽  
Second Phase ◽  
Hematoma Volume ◽  
Spot Sign ◽  
Time Resolved ◽  
Multi Phase

Background: CTA spot sign is a predictor of intracerebral hemorrhage (ICH) expansion. This sign can fluctuate in appearance, volume, and timing. Multiphase CTA (mCTA) can identify spot sign through 3 time-resolved images. We sought to identify a novel predictor of follow up total hematoma expansion using mCTA. Methods: This cohort study included patients with ICH between 2012-2019. Quantomo software was used to measure total hematoma volume (ml) from baseline CT & follow-up CT/MRI blinded to spot sign in 3 mCTA phases. Spot sign expansion was calculated by subtracting 1 st phase spot sign volume from 2 nd phase spot sign volume measured in microliters. Results: 199 patients [63% male, mean age 69 years, median NIHSS 11, IQR 6-20] were included. Median baseline ICH volume was 16.1 ml (IQR 5-29.9 ml). Amongst all three mCTA phases, spot sign was best detected on the 2nd phase (23% vs 17.5% 1 st phase vs 22% 3 rd phase). In multivariable regression, spot sign expansion was significantly associated with follow up total hematoma expansion (OR: 1.03 per microliter of spot sign expansion, p=0.01). Figure 1 shows the predicted total hematoma expansion by spot sign expansion. mCTA spot sign had a higher sensitivity for predicting total hematoma volume expansion than single-phase CTA (reported in meta-analysis of 14 studies), 86% vs 53%, respectively, while both having similar specificity, 87% vs 88%, respectively. Conclusion: Spot sign expansion on mCTA is a novel predictor of total hematoma expansion and could be used to select patients for immediate therapeutic intervention in future clinical trials. Using mCTA improves sensitivity while preserving specificity over single-phase CTA.

Simultaneous Desulfurization and Hydrogenation of Model Diesel Fuel over Ni/ZnO–PdPt/USY Hybrid Catalyst

2018 ◽  
Vol 92 (11) ◽  
pp. 2148-2153 ◽  
Author(s):  
Lichun Huang ◽  
Mingxian Du ◽  
Weixing Wang ◽  
Mingxing Tang ◽  
Hui Ge
Keyword(s):  
Diesel Fuel ◽  
Hybrid Catalyst ◽  
Model Diesel

scholarly journals Outcome Prediction Using Perfusion Parameters and Collateral Scores of Multi-Phase and Single-Phase CT Angiography in Acute Stroke: Need for One, Two, Three, or Thirty Scans?

2018 ◽  
Vol 20 (3) ◽  
pp. 362-372 ◽  
Author(s):  
Katharina Schregel ◽  
Ioannis Tsogkas ◽  
Carolin Peter ◽  
Antonia Zapf ◽  
Daniel Behme ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Ct Angiography ◽  
Single Phase ◽  
Outcome Prediction ◽  
Multi Phase

Eco-driving control of electric vehicle with battery dynamic model and multiple traffic signals

2021 ◽  
pp. 095440702110374
Author(s):  
Hafiz Muhammad Yasir Naeem ◽  
Aamer Iqbal Bhatti ◽  
Yasir Awais Butt ◽  
Qadeer Ahmed
Keyword(s):  
Life Cycle ◽  
Boundary Value Problem ◽  
Single Phase ◽  
Boundary Value ◽  
Optimization Technique ◽  
Traffic Signals ◽  
Multiple Shooting ◽  
Point Boundary ◽  
Phase Problem ◽  
Multi Phase

Limited capacity and short life cycle of a battery are the major impediments in development of practical Electric Vehicles (EVs). Eco-driving is an optimization technique through which a velocity trajectory that consumes minimum energy is advised to the driver. However, presence of traffic signals to control large traffic network degrades the performance of eco-driving; as applying brakes to stop and then maximum re-acceleration to restart a trip consumes lot of energy. Eco-driving problem with multiple traffic signals and static model of battery has been proposed as Two Point Boundary Value Problem (TPBVP). TPBVP fails to solve multi-phase problem as a single phase due to discontinuity of the co-states at the junction, that is, start of a new phase. This paper investigates an optimal solution with both EV and battery dynamics in the presence of multiple traffic signals as Multi Point Boundary Value Problem (MPBVP) using multiple shooting technique. Traffic signals come at some intermediate points of a trip. MPBVP ensures continuity at the junction to solve the multi-phase problem as a single phase through inter dependencies between each phases. Goal of this work is not only to solve constrained eco-driving problem with traffic signals but also include charging and discharging limits on battery that indirectly improves battery’s life cycle. Results indicate that EV has crossed all the traffic signals during their green duration without applying brakes with also satisfying all the other constraints and continuity condition. Moreover, it can be seen that energy consumption using MPBVP is also marginally lesser as compared to TPBVP.

Analytical Electrical Conductivity Models for Single-Phase and Multi-Phase Fractal Porous Media

Fractals ◽  
2021 ◽  
Author(s):  
Wenhui Song ◽  
Masa Prodanovic ◽  
Jun Yao ◽  
Kai Zhang ◽  
Qiqi Wang
Keyword(s):  
Electrical Conductivity ◽  
Porous Media ◽  
Single Phase ◽  
Multi Phase ◽  
Conductivity Models
Sign in / Sign up

Export Citation Format

Share Document