Optimal Design of a Pulsed Water Jet Nozzle

1995 ◽  
Author(s):  
Zheng Li ◽  
E. S. Geskin
Keyword(s):  
Material Removal ◽  
Flat Surface ◽  
Water Jet ◽  
Experimental Results ◽  
Optimal Angle ◽  
Jet Nozzle ◽  
Pulsed Water Jet ◽  
The One ◽  
Pulsating Water Jet ◽  
Better Than

Abstract The objective of this paper is to evaluate the effect of the geometry of downstream edge in the resonating cavity on the performance of a pulsating water jet nozzle. The operation of this nozzle is evaluated by numerical modeling of the water flow within the nozzle. A procedure of computer simulation is employed to examine the performance of the nozzle and the numerical simulation results are validated by the experiments. The nozzle is formed by the use of two conventional nozzles connected by a cavity and numerical and experimental results show that the downstream edge in the cavity has an important effect on the performance of the nozzle. The obtained information demonstrate that the downstream edge with geometry of concave shape is better than the one of convex and flat surface due to its convergent shape enhancing the focusing of the jet and thus increasing the jet kinetic energy. The numerical and experimental results show that the optimal angle of downstream edge is 75° for the best operation of the nozzle. The substantial increase of the rate of cleaning and erosion of such as aluminum, steel and titanium in the course of use of optimal designed nozzle is observed. The obtained computational results enable us to design an effective nozzle suitable for both material removal and surface processing.

A Novel Data Fusion Method Based on Signal's Reliability

2013 ◽  
Vol 321-324 ◽  
pp. 561-567 ◽  
Author(s):  
Ming Xiao ◽  
Liang Pan ◽  
Yan Long Bu ◽  
Li Li Wan
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Optimal Estimation ◽  
Minimum Variance ◽  
Experimental Results ◽  
Fusion Method ◽  
One Dimensional ◽  
The One ◽  
Fusion Scheme ◽  
Better Than

The traditional Kalman filter is able to obtain the optimal estimation of the estimated signals. However, it fails to consider their reliability. In real applications, the estimated signals may include outliers. Fortunately, we are able to know the reliability of the signals transcendentally. In this paper, we derive the one-dimensional data fusion formulas based on signals reliability which is according to minimum variance restriction. Furthermore, a corresponding data fusion scheme is proposed. Experimental results show the propose data fusion method performs much better than traditional methods.

scholarly journals INVESTIGATION OF THE ACCURACY OF DETAILS POSITIONING IN DEVICES WITH ELASTIC GRIP PAWLS

2021 ◽  
Vol 3 ◽  
pp. 198-201
Author(s):  
Angel Lengerov
Keyword(s):  
Transverse Direction ◽  
Flat Surface ◽  
Experimental Results ◽  
Better Than

This paper presents the results of a study of the accuracy of fixing body details on a flat surface and two elastic grip pawls. The obtained experimental results, concerning the displacement of a detail in longitudinal and transverse direction, have been compared with the analytically obtained errors, resulting from positioning a detail on both a cylindrical and a sheared grip pawl. It has been found that the results for the accuracy of details positioning in devices with elastic grip pawls are better than those, related to using a sheared grip pawl and a cylindrical one. 

Effect of Pulsating Water Jet Lavage on Radioactive Contaminated Wounds

1972 ◽  
Vol 51 (2) ◽  
pp. 536-538 ◽  
Author(s):  
Marvin F. Grower ◽  
Surindar N. Bhaskar
Keyword(s):  
Water Jet ◽  
Jet Lavage ◽  
Facial Wounds ◽  
Natural Contamination ◽  
Pulsed Water Jet ◽  
Pulsating Water Jet

A radioisotope of zinc was introduced into facial wounds of rats to stimulate natural contamination. The quantitative effects of a bulb syringe, single pulsed water jet, and a multiple pulsed water jet on decontamination of the wounds were determined by counting the radioactivity that remained in the wounds after treatment. The water jet devices were shown statistically to reduce contamination more than the bulb syringe.

scholarly journals Experimental Investigation on the Material Removal of the Ultrasonic Vibration Assisted Abrasive Water Jet Machining Ceramics

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tao Wang ◽  
Rongguo Hou ◽  
Zhe Lv
Keyword(s):  
Ultrasonic Vibration ◽  
Vibration Amplitude ◽  
Material Removal ◽  
Water Jet ◽  
Experimental Result ◽  
Abrasive Water Jet ◽  
Working Pressure ◽  
Material Erosion ◽  
Erosion Efficiency ◽  
Jet Nozzle

The ultrasonic vibration activated in the abrasive water jet nozzle is used to enhance the capability of the abrasive water jet machinery. The experiment devices of the ultrasonic vibration assisted abrasive water jet are established; they are composed of the ultrasonic vibration producing device, the abrasive supplying device, the abrasive water jet nozzle, the water jet intensifier pump, and so on. And the effect of process parameters such as the vibration amplitude, the system working pressure, the stand-off, and the abrasive diameter on the ceramics material removal is studied. The experimental result indicates that the depth and the volume removal are increased when the ultrasonic vibration is added on abrasive water jet. With the increase of vibration amplitude, the depth and the volume of material removal are also increased. The other parameters of the ultrasonic vibration assisted abrasive water jet also have an important role in the improvement of ceramic material erosion efficiency.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

THE SOURCES OF AUXIN HORMONE TO GROWTH OF SHOOT PINEAPPLE STEM CUTTING (Ananascomosus.L. Merr.)

2016 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Palupi Puspitorini
Keyword(s):  
Water Concentration ◽  
Urine Concentration ◽  
Experimental Results ◽  
Stem Cuttings ◽  
Randomized Design ◽  
Natural Hormone ◽  
Cow Urine ◽  
Urine Concentrations ◽  
Completely Randomized Design ◽  
Better Than

The aim of this study was to select the best sources of auxin of which it can stimulate the growth of shoots Pineapple plant cuttings. This research is compiled in a completely randomized design (CRD) with 4 treatments and 6 replications. The Data were statistically Analyzed by the DMRT. Level of treatment given proves that no treatment 0%, cow urine concentration of 25%, young coconut water concentration of 25% and Rootone F 100 mg / cuttings. The results showed that cow urine concentrations of 25% and Rootone F 100 mg give the best results in stimulating the growth of shoots pineapple stem cuttings. Experimental results concluded that the effect of this natural hormone were better than the shoots without given hormone.           

A Computational Method for the Identification of Endolysins and Autolysins

2020 ◽  
Vol 27 (4) ◽  
pp. 329-336 ◽  
Author(s):  
Lei Xu ◽  
Guangmin Liang ◽  
Baowen Chen ◽  
Xu Tan ◽  
Huaikun Xiang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Cell Wall ◽  
Experimental Results ◽  
Computational Method ◽  
Lytic Enzyme ◽  
Support Vector ◽  
Lytic Enzymes ◽  
Data Set ◽  
Optimal Feature ◽  
Better Than

Background: Cell lytic enzyme is a kind of highly evolved protein, which can destroy the cell structure and kill the bacteria. Compared with antibiotics, cell lytic enzyme will not cause serious problem of drug resistance of pathogenic bacteria. Thus, the study of cell wall lytic enzymes aims at finding an efficient way for curing bacteria infectious. Compared with using antibiotics, the problem of drug resistance becomes more serious. Therefore, it is a good choice for curing bacterial infections by using cell lytic enzymes. Cell lytic enzyme includes endolysin and autolysin and the difference between them is the purpose of the break of cell wall. The identification of the type of cell lytic enzymes is meaningful for the study of cell wall enzymes. Objective: In this article, our motivation is to predict the type of cell lytic enzyme. Cell lytic enzyme is helpful for killing bacteria, so it is meaningful for study the type of cell lytic enzyme. However, it is time consuming to detect the type of cell lytic enzyme by experimental methods. Thus, an efficient computational method for the type of cell lytic enzyme prediction is proposed in our work. Method: We propose a computational method for the prediction of endolysin and autolysin. First, a data set containing 27 endolysins and 41 autolysins is built. Then the protein is represented by tripeptides composition. The features are selected with larger confidence degree. At last, the classifier is trained by the labeled vectors based on support vector machine. The learned classifier is used to predict the type of cell lytic enzyme. Results: Following the proposed method, the experimental results show that the overall accuracy can attain 97.06%, when 44 features are selected. Compared with Ding's method, our method improves the overall accuracy by nearly 4.5% ((97.06-92.9)/92.9%). The performance of our proposed method is stable, when the selected feature number is from 40 to 70. The overall accuracy of tripeptides optimal feature set is 94.12%, and the overall accuracy of Chou's amphiphilic PseAAC method is 76.2%. The experimental results also demonstrate that the overall accuracy is improved by nearly 18% when using the tripeptides optimal feature set. Conclusion: The paper proposed an efficient method for identifying endolysin and autolysin. In this paper, support vector machine is used to predict the type of cell lytic enzyme. The experimental results show that the overall accuracy of the proposed method is 94.12%, which is better than some existing methods. In conclusion, the selected 44 features can improve the overall accuracy for identification of the type of cell lytic enzyme. Support vector machine performs better than other classifiers when using the selected feature set on the benchmark data set.

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