This study presents the optical improvement of a high flux solar simulator (HFSS) with controllable flux-spot capabilities developed for researching solar thermal and thermochemical processes. The HFSS is comprised of seven 2.5   Xenon arc lamps coupled with ellipsoidal reflectors, a servo-controlled attenuator curtain, and three-axes linear test bench. Different attenuators were designed and tested in order to identify the best curtain geometry to improve the HFSS modulation with the lowest possible radiative losses. The optical design improvement was performed with the aid of TracePro, a Monte Carlo ray-tracing software. From simulation results, radiative peak flux from 1700 to 480   from the focal plane to 300 mm further back was estimated without curtains. By using the attenuators, flux levels from 1570 to 92   at the focal plane were also estimated. An experimental validation was achieved with a single lamp-reflector unit obtaining peak flux distributions from 200±20   to 97±9.7   from the focal plane to 300 mm behind. Flux modulation from 170 to 1.5   was also measured at the focal plane using a servo-controlled curtain from fully-open slats (0°) to partially closed (60°). With this attenuator, introduced as the shutter of the system, the use of several lamps or electronic rectifiers is avoided and the radiative flux is modulated with high resolution in an optomechatronical form.

Download full-text PDF

Source
http://dx.doi.org/10.1364/AO.58.002605DOI Listing

Publication Analysis

Top Keywords

focal plane
16
optical improvement
8
high flux
8
flux solar
8
solar simulator
8
solar thermal
8
thermal thermochemical
8
peak flux
8
plane 300
8
flux
7

Similar Publications

Study Design: Retrospective cohort study.

Objectives: To explore the correlation between Facet Tropism (FT) and OPLL in cervical spine.

Methods: One-hundred patients with OPLL of cervical spine and one-hundred normal participants without OPLL or cervical disc herniation were included in this study, the patients were matched to the normal participants respectively based on the same sex and similar age (±5).

View Article and Find Full Text PDF

PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones.

Int Conf Indoor Position Indoor Navig

October 2024

Computer Science and Engineering, University of California, Santa Cruz, Santa Cruz, United States.

In this paper, we present PALMS, an innovative indoor global localization and relocalization system for mobile smartphones that utilizes publicly available floor plans. Unlike most vision-based methods that require constant visual input, our system adopts a dynamic form of localization that considers a single instantaneous observation and odometry data. The core contribution of this work is the introduction of a particle filter initialization method that leverages the Certainly Empty Space (CES) constraint along with principal orientation matching.

View Article and Find Full Text PDF

Background: Hepatocellular carcinoma (HCC) associated with major vasculature tumor extension is considered an advanced stage of disease to which palliative radiotherapy or chemotherapy is proposed. Surgical resection associated with chemotherapy or chemoembolization could be an opportunity to improve overall survival and recurrence-free survival in selected cases in a high-volume hepatobiliary center. Moreover, it has been 25 years since Couinaud described the entity of a posterior liver located behind an axial plane crossing the portal bifurcation.

View Article and Find Full Text PDF

Accurately predicting the remaining useful life (RUL) is crucial for ensuring the safety and reliability of aircraft engine operation. However, aircraft engines operate in harsh conditions, with the characteristics of high speed, high temperature, and high load, resulting in high-dimensional and noisy data. This makes feature extraction inadequate, leading to low accuracy in the prediction of the RUL of aircraft engines.

View Article and Find Full Text PDF

This study proposes a novel rolling bearing fault diagnosis technique based on a synchrosqueezing wavelet transform (SWT) and a transfer residual convolutional neural network (TRCNN) designed to address the difficulties of feature extraction caused by the non-stationarity of fault signals, as well as the issue of low fault diagnosis accuracy resulting from small sample quantities. This approach transforms the one-dimensional vibration signal into time-frequency diagrams using an SWT based on complex Morlet wavelet basis functions, which redistributes (squeezes) the values of the wavelet coefficients at different localized points in a time-frequency plane to the estimated instantaneous frequencies. This allows the energy to be more fully concentrated in actual corresponding frequency components.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!