Time based ship added resistance prediction model for biofouling

Research output: Contribution to conferencePaper

Abstract

The selection of antifouling coating is a significant process that affects fuel consumption of ships and therefore it is important to select the most effective coating system. Since each ship has a particular route and operational characteristics, appropriate antifouling paint should be selected based on the ship's operating profiles to get the maximum efficiency from the coating. The paper presents a time-based biofouling prediction model that uses ship route, ship speed, time at sea, time in port and data from paint performance tests. The model basically predicts the increase in roughness due to biofouling. The model converts the roughness into frictional resistance coefficients, which are stored in a database for a range of ships from 10m to 300m. The developed model was used to predict added resistance of a real ship which is coated with an antifouling paint. The predicted added resistance values were presented for 1-year operation time.

Conference

Conference13th INTERNATIONAL MARINE DESIGN CONFERENCE
Abbreviated titleIMDC2018
CountryFinland
CityHelsinki
Period10/06/1814/06/18
Internet address

Fingerprint

Biofouling
Drag
Ships
Antifouling paint
Coatings
Surface roughness
Fuel consumption
Paint

Keywords

  • time based biofouling prediction
  • antifouling coating performance
  • added frictional resistance
  • shipping
  • paint efficiency

Cite this

Uzun, D., Ozyurt, R., Demirel, Y. K., & Turan, O. (2018). Time based ship added resistance prediction model for biofouling. Paper presented at 13th INTERNATIONAL MARINE DESIGN CONFERENCE, Helsinki, Finland.
Uzun, D. ; Ozyurt, R. ; Demirel, Y. K. ; Turan, O. / Time based ship added resistance prediction model for biofouling. Paper presented at 13th INTERNATIONAL MARINE DESIGN CONFERENCE, Helsinki, Finland.
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title = "Time based ship added resistance prediction model for biofouling",
abstract = "The selection of antifouling coating is a significant process that affects fuel consumption of ships and therefore it is important to select the most effective coating system. Since each ship has a particular route and operational characteristics, appropriate antifouling paint should be selected based on the ship's operating profiles to get the maximum efficiency from the coating. The paper presents a time-based biofouling prediction model that uses ship route, ship speed, time at sea, time in port and data from paint performance tests. The model basically predicts the increase in roughness due to biofouling. The model converts the roughness into frictional resistance coefficients, which are stored in a database for a range of ships from 10m to 300m. The developed model was used to predict added resistance of a real ship which is coated with an antifouling paint. The predicted added resistance values were presented for 1-year operation time.",
keywords = "time based biofouling prediction, antifouling coating performance, added frictional resistance, shipping, paint efficiency",
author = "D. Uzun and R. Ozyurt and Demirel, {Y. K.} and O. Turan",
note = "To appear in Marine Design XIII. Proceedings of the 13th International Marine Design Conference (Helsinki, Finland, 10-14 June 2018), (c) CRC Press. ; 13th INTERNATIONAL MARINE DESIGN CONFERENCE, IMDC2018 ; Conference date: 10-06-2018 Through 14-06-2018",
year = "2018",
month = "6",
day = "10",
language = "English",
url = "http://imdc2018.aalto.fi/",

}

Uzun, D, Ozyurt, R, Demirel, YK & Turan, O 2018, 'Time based ship added resistance prediction model for biofouling' Paper presented at 13th INTERNATIONAL MARINE DESIGN CONFERENCE, Helsinki, Finland, 10/06/18 - 14/06/18, .

Time based ship added resistance prediction model for biofouling. / Uzun, D.; Ozyurt, R.; Demirel, Y. K.; Turan, O.

2018. Paper presented at 13th INTERNATIONAL MARINE DESIGN CONFERENCE, Helsinki, Finland.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Time based ship added resistance prediction model for biofouling

AU - Uzun, D.

AU - Ozyurt, R.

AU - Demirel, Y. K.

AU - Turan, O.

N1 - To appear in Marine Design XIII. Proceedings of the 13th International Marine Design Conference (Helsinki, Finland, 10-14 June 2018), (c) CRC Press.

PY - 2018/6/10

Y1 - 2018/6/10

N2 - The selection of antifouling coating is a significant process that affects fuel consumption of ships and therefore it is important to select the most effective coating system. Since each ship has a particular route and operational characteristics, appropriate antifouling paint should be selected based on the ship's operating profiles to get the maximum efficiency from the coating. The paper presents a time-based biofouling prediction model that uses ship route, ship speed, time at sea, time in port and data from paint performance tests. The model basically predicts the increase in roughness due to biofouling. The model converts the roughness into frictional resistance coefficients, which are stored in a database for a range of ships from 10m to 300m. The developed model was used to predict added resistance of a real ship which is coated with an antifouling paint. The predicted added resistance values were presented for 1-year operation time.

AB - The selection of antifouling coating is a significant process that affects fuel consumption of ships and therefore it is important to select the most effective coating system. Since each ship has a particular route and operational characteristics, appropriate antifouling paint should be selected based on the ship's operating profiles to get the maximum efficiency from the coating. The paper presents a time-based biofouling prediction model that uses ship route, ship speed, time at sea, time in port and data from paint performance tests. The model basically predicts the increase in roughness due to biofouling. The model converts the roughness into frictional resistance coefficients, which are stored in a database for a range of ships from 10m to 300m. The developed model was used to predict added resistance of a real ship which is coated with an antifouling paint. The predicted added resistance values were presented for 1-year operation time.

KW - time based biofouling prediction

KW - antifouling coating performance

KW - added frictional resistance

KW - shipping

KW - paint efficiency

M3 - Paper

ER -

Uzun D, Ozyurt R, Demirel YK, Turan O. Time based ship added resistance prediction model for biofouling. 2018. Paper presented at 13th INTERNATIONAL MARINE DESIGN CONFERENCE, Helsinki, Finland.