Lifetime Prediction of EPU/Al Low Infrared Emissivity Coatings in Damp Heat

2013 ◽  
Vol 442 ◽  
pp. 104-109 ◽  
Author(s):  
Xiao Xing Yan ◽  
Guo Yue Xu ◽  
Yan Wu ◽  
Zhi Hui Wu
Keyword(s):  
Heating Temperature ◽  
Lifetime Prediction ◽  
Observation Data ◽  
Infrared Emissivity ◽  
Good Resistance ◽  
Arrhenius Relationship ◽  
Model Predictions

Stability of epoxy-polyurethane (EPU)/aluminum (Al) coatings (the change of coating emissivity during damp heat) was studied after exposure to the damp-heat test for varying lengths of time. We found that the emissivity increased with increasing heating temperature and time in damp heat. In addition, Arrhenius relationship was employed to calculate the lifetime of EPU/Al low infrared emissivity coatings in damp heat. Compared with observation data in damp heat, the calculated results validated the effectiveness of the model predictions, and showed that EPU/Al low infrared emissivity coatings exhibited good resistance to damp heat.

Improved Turbine Blade Lifetime Prediction

2015 ◽  
Author(s):  
Cristhian Maravilla Herrera ◽  
Sergiy Yepifanov ◽  
Igor Loboda
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Boundary Conditions ◽  
Transfer Coefficient ◽  
Heating Temperature ◽  
Model Development ◽  
Lifetime Prediction ◽  
Thermal Boundary Conditions ◽  
And Performance ◽  
The Heat Transfer Coefficient

Algorithms for predicting the remaining lifetime of an engine play an important role in gas turbine monitoring systems. This paper addresses the improvement of models to determine the thermal boundary conditions that are necessary to calculate engine lifetime in critical hot components. Two methods for model development are compared. The first method uses physics-based models. The second method formulates the models based on a similarity concept. The object of analysis is a cooled blade of a high-pressure turbine. Two unmeasured thermal boundary conditions are considered: the heating temperature and the heat transfer coefficient. Instrumental and truncation errors are estimated for each model and 10 faulty conditions are considered to take into account the existing engine-to-engine differences and performance deterioration. The blade temperature and the thermal stress at the critical points are calculated using the results obtained by the developed models as boundary conditions. The results of the comparison show that the physics-based models are more robust to power plant faults. The best models for the heating temperature and the heat transfer coefficient were chosen. It is shown that the accuracy of the heating temperature model is more important for reliable lifetime prediction.

scholarly journals Validating a 1-D SVAT model in a range of USA and Australian ecosystems: evidence towards its use as a tool to study Earth's system interactions

2015 ◽  
Vol 8 (3) ◽  
pp. 2437-2495 ◽  
Author(s):  
G. P. Petropoulos ◽  
M. R. North ◽  
G. Ireland ◽  
P. K. Srivastava ◽  
D. V. Rendall
Keyword(s):  
Air Temperature ◽  
Climatic Conditions ◽  
In Situ Measurements ◽  
Observation Data ◽  
Monitoring Networks ◽  
Ongoing Research ◽  
Model Predictions ◽  
Earth’S System ◽  
Svat Model

Abstract. This paper describes the validation of the SimSphere SVAT model conducted at different ecosystem types in the USA and Australia. Specific focus was given to examining the models' ability in predicting Shortwave Incoming Solar Radiation (Rg), Net Radiation (Rnet), Latent Heat (LE), Sensible Heat (H), Air Temperature at 1.3 m (Tair 1.3 m) and Air Temperature at 50 m (Tair 50 m). Model predictions were compared against corresponding in situ measurements acquired for a total of 72 selected days of the year 2011 obtained from 8 sites belonging to the AmeriFlux (USA) and OzFlux (Australia) monitoring networks. Selected sites were representative of a variety of environmental, biome and climatic conditions, to allow for the inclusion of contrasting conditions in the model evaluation. The application of the model confirmed its high capability in representing the multifarious and complex interactions of the Earth system. Comparisons showed a good agreement between modelled and measured fluxes, especially for the days with smoothed daily flux trends. A good to excellent agreement between the model predictions and the in situ measurements was reported, particularly so for the LE, H, T1.3 m and T 50 m parameters (RMSD = 39.47, 55.06 W m−2, 3.23, 3.77 °C respectively). A systematic underestimation of Rg and Rnet (RMSD = 67.83, 58.69 W m−2, MBE = 67.83, 58.69 W m−2 respectively) was also found. Highest simulation accuracies were obtained for the open woodland savannah and mulga woodland sites for most of the compared parameters. Very high values of the Nash–Sutcliffe efficiency index were also reported for all parameters ranging from 0.720 to 0.998, suggesting a very good model representation of the observations. To our knowledge, this study presents the first comprehensive validation of SimSphere, particularly so in USA and Australian ecosystem types. Findings are important and timely, given the rapidly expanding use of this model worldwide both as an educational and research tool. This includes ongoing research by different Space Agencies examining its synergistic use with Earth Observation data towards the development of global operational products.

scholarly journals Quantifying the prediction accuracy of a 1-D SVAT model at a range of ecosystems in the USA and Australia: evidence towards its use as a tool to study Earth's system interactions

2015 ◽  
Vol 8 (10) ◽  
pp. 3257-3284 ◽  
Author(s):  
G. P. Petropoulos ◽  
M. R. North ◽  
G. Ireland ◽  
P. K. Srivastava ◽  
D. V. Rendall
Keyword(s):  
Air Temperature ◽  
In Situ Measurements ◽  
Mean Bias Error ◽  
Transfer Model ◽  
Observation Data ◽  
Ongoing Research ◽  
Model Predictions ◽  
Earth’S System ◽  
Good Agreement

Abstract. This paper describes the validation of the SimSphere SVAT (Soil–Vegetation–Atmosphere Transfer) model conducted at a range of US and Australian ecosystem types. Specific focus was given to examining the models' ability in predicting shortwave incoming solar radiation (Rg), net radiation (Rnet), latent heat (LE), sensible heat (H), air temperature at 1.3 m (Tair 1.3 m) and air temperature at 50 m (Tair 50 m). Model predictions were compared against corresponding in situ measurements acquired for a total of 72 selected days of the year 2011 obtained from eight sites belonging to the AmeriFlux (USA) and OzFlux (Australia) monitoring networks. Selected sites were representative of a variety of environmental, biome and climatic conditions, to allow for the inclusion of contrasting conditions in the model evaluation. Overall, results showed a good agreement between the model predictions and the in situ measurements, particularly so for the Rg, Rnet, Tair 1.3 m and Tair 50 m parameters. The simulated Rg parameter exhibited a root mean square deviation (RMSD) within 25 % of the observed fluxes for 58 of the 72 selected days, whereas an RMSD within ~ 24 % of the observed fluxes was reported for the Rnet parameter for all days of study (RMSD = 58.69 W m−2). A systematic underestimation of Rg and Rnet (mean bias error (MBE) = −19.48 and −16.46 W m−2) was also found. Simulations for the Tair 1.3 m and Tair 50 m showed good agreement with the in situ observations, exhibiting RMSDs of 3.23 and 3.77 °C (within ~ 15 and ~ 18 % of the observed) for all days of analysis, respectively. Comparable, yet slightly less satisfactory simulation accuracies were exhibited for the H and LE parameters (RMSDs = 38.47 and 55.06 W m−2, ~ 34 and ~ 28 % of the observed). Highest simulation accuracies were obtained for the open woodland savannah and mulga woodland sites for most of the compared parameters. The Nash–Sutcliffe efficiency index for all parameters ranges from 0.720 to 0.998, suggesting a very good model representation of the observations. To our knowledge, this study presents the most detailed evaluation of SimSphere done so far, and the first validation of it conducted in Australian ecosystem types. Findings are important and timely, given the expanding use of the model both as an educational and research tool today. This includes ongoing research by different space agencies examining its synergistic use with Earth observation data towards the development of global operational products.

PENGARUH METODE DAN LAMA PENGOLAHAN TERHADAP ANALISIS MUTU UBI JALAR ORANGE (Ipomoea batatas L)

2019 ◽  
Vol 5 ◽  
pp. 91 ◽  
Author(s):  
Rima Purwanti ◽  
Ratnawaty Fadilah ◽  
Subari Yanto
Keyword(s):  
Ipomoea Batatas ◽  
Heating Temperature ◽  
Block Design ◽  
Beta Carotene ◽  
Processing Method ◽  
Fiber Content ◽  
Observation Data ◽  
Sweet Potatoes ◽  
Processing Methods ◽  
Randomized Block Design

This study aims to determine the effect of the method and duration of processing on the analysis of the quality of orange sweet potatoes (Ipomoea batatas L). The study used a randomized block design consisting of two factors, namely the processing method and the duration of processing carried out three times. The treatments in the study were processing methods (steaming and frying) and duration of processing (5 minutes, 10 minutes, and 15 minutes) with a heating temperature of 100 ° C. Observation data were analyzed using Variety Analysis (ANOVA) then continued with Duncan Test. The results of the study showed that the interaction of the processing method variables and the duration of processing were not significantly affected. Beta-carotene, anthocyanin, fiber content, color and taste are only influenced by processing methods and duration of processing, while texture and aroma are only influenced by duration of processing . The best treatment of the method and duration of processing of orange sweet potato (I. batatas L) was by steaming method for 15 minutes with beta-carotene (0.07%), anthocyanin (8.99%), fiber content (0.93%) , color and aroma (rather like), and texture and taste (likes).

Scanning luminescence x-ray microscopy: Progress toward selective staining using microspheres

1994 ◽  
Vol 52 ◽  
pp. 74-75
Author(s):  
C. Jacobsen ◽  
J. Fu ◽  
S. Mayer ◽  
Y. Wang ◽  
S. Williams
Keyword(s):  
Visible Light ◽  
Active Sites ◽  
Light Emission ◽  
Chinese Hamster ◽  
Polystyrene Spheres ◽  
Good Resistance ◽  
X Ray ◽  
Selective Staining ◽  
Visible Light Emission ◽  
Specific Labelling

In scanning luminescence x-ray microscopy (SLXM), a high resolution x-ray probe is used to excite visible light emission (see Figs. 1 and 2). The technique has been developed with a goal of localizing dye-tagged biochemically active sites and structures at 50 nm resolution in thick, hydrated biological specimens. Following our initial efforts, Moronne et al. have begun to develop probes based on biotinylated terbium; we report here our progress towards using microspheres for tagging.Our initial experiments with microspheres were based on commercially-available carboxyl latex spheres which emitted ~ 5 visible light photons per x-ray absorbed, and which showed good resistance to bleaching under x-ray irradiation. Other work (such as that by Guo et al.) has shown that such spheres can be used for a variety of specific labelling applications. Our first efforts have been aimed at labelling ƒ actin in Chinese hamster ovarian (CHO) cells. By using a detergent/fixative protocol to load spheres into cells with permeabilized membranes and preserved morphology, we have succeeded in using commercial dye-loaded, spreptavidin-coated 0.03μm polystyrene spheres linked to biotin phalloidon to label f actin (see Fig. 3).

Socially Shared Regulation of Learning: A Review

2015 ◽  
Vol 20 (3) ◽  
pp. 190-203 ◽  
Author(s):  
Ernesto Panadero ◽  
Sanna Järvelä
Keyword(s):  
Empirical Evidence ◽  
Learning Theory ◽  
Qualitative Data ◽  
Social Regulation ◽  
Observation Data ◽  
Optimal Form ◽  
Self Regulated Learning ◽  
The Past ◽  
Recorded Observation ◽  
Socially Shared Regulation

Abstract. Socially shared regulation of learning (SSRL) has been recognized as a new and growing field in the framework of self-regulated learning theory in the past decade. In the present review, we examine the empirical evidence to support such a phenomenon. A total of 17 articles addressing SSRL were identified, 13 of which presented empirical evidence. Through a narrative review it could be concluded that there is enough data to maintain the existence of SSRL in comparison to other social regulation (e.g., co-regulation). It was found that most of the SSRL research has focused on characterizing phenomena through the use of mixed methods through qualitative data, mostly video-recorded observation data. Also, SSRL seems to contribute to students’ performance. Finally, the article discusses the need for the field to move forward, exploring the best conditions to promote SSRL, clarifying whether SSRL is always the optimal form of collaboration, and identifying more aspects of groups’ characteristics.

Upaya meningkatkan hasil belajar IPA pada materi struktur dan fungsi jaringan tumbuhan melalui penerapan model pembelajaran mind mapping Siswa kelas VIII MTsN 2 Aceh Besar

2020 ◽  
Vol 1 (3) ◽  
pp. 299-306
Author(s):  
Nurdahri Nurdahri
Keyword(s):  
Learning Outcomes ◽  
Learning Model ◽  
Male Students ◽  
Observation Data ◽  
Mind Mapping ◽  
Planning Cycle ◽  
Class Viii ◽  
And Function ◽  
The Mind ◽  
Academic Year

he purpose of this study was to improve science learning outcomes on the structure and function of plant networks in class VIII students of MTsN 2 Aceh Besar in the 2017/2018 academic year. The learning model used in this study is the Mind Mapping Learning Model. The subjects of this study were students of class VIII MTsN 2 Aceh Besar with a total of 33 students consisting of 13 male students and 20 fe-male students. This research was conducted in the 2017/2018 Academic Year within a period of 3 months, namely from August 2017 to October 2017 in Odd Semester. The research methodology is Classroom Action Research (CAR) consisting of two cycles and each cycle consisting of two meetings. Each cycle consists of planning, implementing, observing and reflecting. The research procedure con-sisted of pre-research, planning cycle one, implementing action cycle one, observing cycle one, reflect-ing cycle one, planning cycle two, implementing action cycle two, observing cycle two and reflecting cycle two. The data collection technique is to collect test scores that are carried out at the end of each lesson in each cycle using a question instrument (written test). Observation data was carried out by look-ing at the activeness of teachers and students during the learning process. The learning outcome data were analyzed by means of percentage statistics, while the observation data were analyzed by means of a Likert scale. The results showed that there was an increase in the completeness of student learning outcomes from 39.39% in the pre-cycle increased to 60.60% in Cycle I and increased to 87.87% in Cy-cle II. Observation of teacher activity during PBM has increased from a total score of 88 good categories in Cycle I, increasing to a total score of 93 good categories in Cycle II. The application of the Mind Mapping learning model can improve science learning outcomes on the structure and function of plant tissue for class VIII students of MTsN 2 Aceh Besar for the 2017/2018 academic year.

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