The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform
Helena M Ramos - One of the best experts on this subject based on the ideXlab platform.
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evaluation of pat performances by modified Affinity Law
Procedia Engineering, 2014Co-Authors: Armando Carravetta, Maria Chiara Conte, Oreste Fecarotta, Helena M RamosAbstract:Abstract The use of pumps operating as a turbines (PATs) is an alternative cheap solution for the conversion of dissipations along the distribution networks, but a little information about their performance is available. The turbomachinery Affinity Law can be applied for the evaluation of the performances curves, but can produce relevant errors that can be reduced with a modification of the Affinity Law. This research, which is based on experimental collected data, proposes a modification of the turbomachinery Affinity Law in order to minimize the differences between experimental data and the predicted curves.
Armando Carravetta - One of the best experts on this subject based on the ideXlab platform.
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evaluation of pat performances by modified Affinity Law
Procedia Engineering, 2014Co-Authors: Armando Carravetta, Maria Chiara Conte, Oreste Fecarotta, Helena M RamosAbstract:Abstract The use of pumps operating as a turbines (PATs) is an alternative cheap solution for the conversion of dissipations along the distribution networks, but a little information about their performance is available. The turbomachinery Affinity Law can be applied for the evaluation of the performances curves, but can produce relevant errors that can be reduced with a modification of the Affinity Law. This research, which is based on experimental collected data, proposes a modification of the turbomachinery Affinity Law in order to minimize the differences between experimental data and the predicted curves.
Ya Jing - One of the best experts on this subject based on the ideXlab platform.
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discussion of cavitation Affinity Law for pumps
Sichuan University of Science and Technology, 2003Co-Authors: Ya JingAbstract:It is well known that the data based on cavitation tests concerning pumps do not agree to the cavitation Law . The authors of the paper analyses the reasons of the above difference in details in four areas . The discussion presented in this paper will be helpful in studying cavitation phenomena and cavitation calculation in pumps .
Maria Chiara Conte - One of the best experts on this subject based on the ideXlab platform.
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evaluation of pat performances by modified Affinity Law
Procedia Engineering, 2014Co-Authors: Armando Carravetta, Maria Chiara Conte, Oreste Fecarotta, Helena M RamosAbstract:Abstract The use of pumps operating as a turbines (PATs) is an alternative cheap solution for the conversion of dissipations along the distribution networks, but a little information about their performance is available. The turbomachinery Affinity Law can be applied for the evaluation of the performances curves, but can produce relevant errors that can be reduced with a modification of the Affinity Law. This research, which is based on experimental collected data, proposes a modification of the turbomachinery Affinity Law in order to minimize the differences between experimental data and the predicted curves.
Oreste Fecarotta - One of the best experts on this subject based on the ideXlab platform.
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evaluation of pat performances by modified Affinity Law
Procedia Engineering, 2014Co-Authors: Armando Carravetta, Maria Chiara Conte, Oreste Fecarotta, Helena M RamosAbstract:Abstract The use of pumps operating as a turbines (PATs) is an alternative cheap solution for the conversion of dissipations along the distribution networks, but a little information about their performance is available. The turbomachinery Affinity Law can be applied for the evaluation of the performances curves, but can produce relevant errors that can be reduced with a modification of the Affinity Law. This research, which is based on experimental collected data, proposes a modification of the turbomachinery Affinity Law in order to minimize the differences between experimental data and the predicted curves.