2018
DOI: 10.21278/brod69403
|View full text |Cite
|
Sign up to set email alerts
|

On Self-Propulsion Assessment of Marine Vehicles

Abstract: Estimation of ship self-propulsion is important for the selection of the propulsion system and the main engine so that the ship can move forward with the required speed. Resistance characteristics of the vessel or the open-water performance of a propeller only are not usually enough to assess the working conditions of the ship. Both in numerical simulations and in experiments; there is a need to treat the propulsion system and the hull as a whole for a better estimation of the self-propulsion parameters. In th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 35 publications
(7 citation statements)
references
References 19 publications
0
7
0
Order By: Relevance
“…The self-propulsion estimation method was validated several times using different benchmark ships, such as DARPA Suboff, 1/31.6 KCS scale model and 1/59.407 DTC scale model in Kinaci et al (2018); Japanese Bulk Carrier (JBC) in Gokce et al (2019) and 1/80 DTC scale model in Kinaci et al (2020). A new KCS self-propulsion validation study conducted on a different scale model (1/60.75) was provided to ensure the integrity of the present study.…”
Section: Spe Methods Validation Studiesmentioning
confidence: 99%
“…The self-propulsion estimation method was validated several times using different benchmark ships, such as DARPA Suboff, 1/31.6 KCS scale model and 1/59.407 DTC scale model in Kinaci et al (2018); Japanese Bulk Carrier (JBC) in Gokce et al (2019) and 1/80 DTC scale model in Kinaci et al (2020). A new KCS self-propulsion validation study conducted on a different scale model (1/60.75) was provided to ensure the integrity of the present study.…”
Section: Spe Methods Validation Studiesmentioning
confidence: 99%
“…All numerical results are between the ranges simulated for the wake factor values for KCS. They were in between the range 0.25 <w< 0.28 [52]. As an example, Figure 14 shows the axial and cross-flow velocities contour behind the ship at a model speed of 2.134 m/s (Fn=0.25).…”
Section: Wake Field Predictionmentioning
confidence: 99%
“…For the steady case, flow equations are solved by adopting a rotating frame linked to the propeller and all blocks are also considered as rotary. In Fluent code, this procedure is called Moving Reference Frame (MRF) as reported by Kaewkhiaw (2018) and Kinaci et al (2018).…”
Section: Propeller Drawing Proceduresmentioning
confidence: 99%