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Figure 5. Condition of the bucket after experimentation To find erosive wear rate on Pelton turbine, experimentation has been performed among blends of exploratory factors as portrayed in Table 2. After the examination of every elective which is parametric arrangement of erosive wear rate on Pelton turbine, the outcomes have been noted and ascertained for Normalized wear (W) and loss of efficiency. Table.2 describes Normalized wear (W) and efficiency loss reactions accomplished for all alternatives combinations. The surface conditions of turbine bucket after the examination are appeared in Fig.5. The consequences of Table 2 have been introduced in Figures 6 & 7 in order to watch the slant of Normalized wear (W) and efficiency loss contrast simultaneously. It has been discovered that where the efficiency loss is enhanced, in the meantime the estimation of Normalized wear (W) has additionally moved forward.

Figure 5 Condition of the bucket after experimentation To find erosive wear rate on Pelton turbine, experimentation has been performed among blends of exploratory factors as portrayed in Table 2. After the examination of every elective which is parametric arrangement of erosive wear rate on Pelton turbine, the outcomes have been noted and ascertained for Normalized wear (W) and loss of efficiency. Table.2 describes Normalized wear (W) and efficiency loss reactions accomplished for all alternatives combinations. The surface conditions of turbine bucket after the examination are appeared in Fig.5. The consequences of Table 2 have been introduced in Figures 6 & 7 in order to watch the slant of Normalized wear (W) and efficiency loss contrast simultaneously. It has been discovered that where the efficiency loss is enhanced, in the meantime the estimation of Normalized wear (W) has additionally moved forward.

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Figure 1. Photographic view of experimental set-up n this investigation an attempt has been made to do a parametric optimization of erosive wear rate of Pelton turbine buckets for which a related schematic of test setup as appeared in Fig.1. All the operating parameters and sediment parameters were introduced with a specific end objective to reproduce real working state of a Pelton turbine. The examination wear problem areas were recognized inside the Pelton buckets. The runner of Pelton turbine having diameter of pitch circle is 145mm, diameter of nozzle 12 mm and buckets quantity having 20 in number has been utilized for the test examine. The weight of each bucket was estimated one by one, and it was around 115g. Fig.2 represents the schematic and photographic view of Pelton runner and buckets.
Figure 1. Photographic view of experimental set-up n this investigation an attempt has been made to do a parametric optimization of erosive wear rate of Pelton turbine buckets for which a related schematic of test setup as appeared in Fig.1. All the operating parameters and sediment parameters were introduced with a specific end objective to reproduce real working state of a Pelton turbine. The examination wear problem areas were recognized inside the Pelton buckets. The runner of Pelton turbine having diameter of pitch circle is 145mm, diameter of nozzle 12 mm and buckets quantity having 20 in number has been utilized for the test examine. The weight of each bucket was estimated one by one, and it was around 115g. Fig.2 represents the schematic and photographic view of Pelton runner and buckets.
Figure 2. Pelton runner and buckets Figure 2. Felton runner and buckets The sediment water composite having different concentrations, required amount of silt with chosen, water sample was made by mixing different parameters and is placed in the tank. The rotating stirrer was at a speed of 60 rpm with the assistance of an electric-motor of 1.0 HP limit through a gear box to make turbulence all through the volume of water and sediment composite in the tank. So as to research the impact of residue parameters on erosive wear sediment
Figure 2. Pelton runner and buckets Figure 2. Felton runner and buckets The sediment water composite having different concentrations, required amount of silt with chosen, water sample was made by mixing different parameters and is placed in the tank. The rotating stirrer was at a speed of 60 rpm with the assistance of an electric-motor of 1.0 HP limit through a gear box to make turbulence all through the volume of water and sediment composite in the tank. So as to research the impact of residue parameters on erosive wear sediment
eae 2 eee eS ee, a eT Deposit was dehydrated in the day light for 3-4 days and sieves of various sizes were used to strain the sand before mixing with water. The component of trial which has been contemplated contains four estimations of S. bas four estimations of C,, four estimations of V; and four estimations of t,, separately. The range of various parameters is portrayed in Tablel.
eae 2 eee eS ee, a eT Deposit was dehydrated in the day light for 3-4 days and sieves of various sizes were used to strain the sand before mixing with water. The component of trial which has been contemplated contains four estimations of S. bas four estimations of C,, four estimations of V; and four estimations of t,, separately. The range of various parameters is portrayed in Tablel.
In this investigation concentration of silt, size of silt, velocity of jet and hours of working were looked into parameters. For this, sediment specimen was accumulated from Chamera Lake, Chamba (Himachal Pradesh, India) as shown in Fig.3 in which 20000 ppm silt concentration during monsoon season and the typical quartz substance was realized to be around 80% and the samples of silt of various sizes are shown in Fig.
In this investigation concentration of silt, size of silt, velocity of jet and hours of working were looked into parameters. For this, sediment specimen was accumulated from Chamera Lake, Chamba (Himachal Pradesh, India) as shown in Fig.3 in which 20000 ppm silt concentration during monsoon season and the typical quartz substance was realized to be around 80% and the samples of silt of various sizes are shown in Fig.
Figure 4. Silt samples of various sizes of Chamera dam Table 1 Range of experimental parameters
Figure 4. Silt samples of various sizes of Chamera dam Table 1 Range of experimental parameters
Vd@ICUIAUUL OF COLUTIII WISC THULIIGIZCUG UCCISIUI TALIA. After the identification of highest and lowest values of criterions the normalized values of whole data in decision matrix are determined by employing Eq. (10) and the results of normalized values are shown in Table 3.
Vd@ICUIAUUL OF COLUTIII WISC THULIIGIZCUG UCCISIUI TALIA. After the identification of highest and lowest values of criterions the normalized values of whole data in decision matrix are determined by employing Eq. (10) and the results of normalized values are shown in Table 3.
Table 6: The pair wise comparison matrix for different criteria’s
Table 6: The pair wise comparison matrix for different criteria’s
Table 7: The criteria weights subjective(a;), objective(f;), and synthesis weight (@;)
Table 7: The criteria weights subjective(a;), objective(f;), and synthesis weight (@;)
Table 9: Positive ideal solutions (Aj) and negative ideal solutions (A; ) each criteria.
Table 9: Positive ideal solutions (Aj) and negative ideal solutions (A; ) each criteria.
Figure 8. Comparisons of ranking obtained with the PSI and TOPSIS methods
Figure 8. Comparisons of ranking obtained with the PSI and TOPSIS methods
Table 10: Target distances, relative distance and ranking of the alternatives It has been found that alternative A-1 has maximum relative distance (0.999) from all the alternatives and is followed by A-2 (0. 0.923) alternative. The alternative A-25 depicts the minimum value of relative distance eq ual to 0.721567. The above inspections show that the alternative A-1 has an optimal set of geometric parameters i.e. silt concentration = 2,000 silt size = 90, time period = 3 hrs and jet velocity = 27.309 which shows the best performance. Figure 8 shows the rankings of all alternatives derived using PSI and TOPSIS methods. After finding AF and A; the target distances of each alternative S; and S; calculated for all alternatives using Eqs. (23) and (24) are given in Table 10. Finally, the relative distance of the points from the ideal solution (S) of all alternatives is calculated using Eq. (25) and results are given in Table 10. In the end after whole calculation the ranking of alternatives done to get optimal set of operating parameters presented in in Table 10.
Table 10: Target distances, relative distance and ranking of the alternatives It has been found that alternative A-1 has maximum relative distance (0.999) from all the alternatives and is followed by A-2 (0. 0.923) alternative. The alternative A-25 depicts the minimum value of relative distance eq ual to 0.721567. The above inspections show that the alternative A-1 has an optimal set of geometric parameters i.e. silt concentration = 2,000 silt size = 90, time period = 3 hrs and jet velocity = 27.309 which shows the best performance. Figure 8 shows the rankings of all alternatives derived using PSI and TOPSIS methods. After finding AF and A; the target distances of each alternative S; and S; calculated for all alternatives using Eqs. (23) and (24) are given in Table 10. Finally, the relative distance of the points from the ideal solution (S) of all alternatives is calculated using Eq. (25) and results are given in Table 10. In the end after whole calculation the ranking of alternatives done to get optimal set of operating parameters presented in in Table 10.
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