TY - JOUR
T1 - Reduction of Drag Resistance by Pressure Drop in Pipeline with 3-Dimensional Design Optimization
AU - Gunawan,
AU - Yanuar,
AU - Utomo, A. S.A.
AU - Fariz, F.
AU - Lambang, S. A.
N1 - Publisher Copyright:
© 2020 PENERBIT AKADEMIA BARU-All rights reserved.
PY - 2020/9
Y1 - 2020/9
N2 - The searching for the most optimal pipeline route is a crucial problem in the maritime world because it consumes total designing time by 50%. Also, with different types of ships increases the design complexity. The usual design process has not considered the aspect of distance, cost, obstacles, drag, and pressure reduction in the pipeline very accurately. However, along with algorithms' development to optimize pipeline design, the time can be cut by 40%. This research uses computer-generated Dijkstra's algorithm to optimize pipeline design by considering several constraints in pipe spacing, the number of bends, crossings, pipeline stacks to improve drag reduction, and reducing pressure. The data generated in the way of a comparison between drag reduction and pressure drop in pipe design optimization utilizing Dijkstra's and without using the Dijkstra's algorithm with 3-dimensional projections. The result shows the improvement of the drag reduction rate by 8% by decreasing pressure drop by 13%.
AB - The searching for the most optimal pipeline route is a crucial problem in the maritime world because it consumes total designing time by 50%. Also, with different types of ships increases the design complexity. The usual design process has not considered the aspect of distance, cost, obstacles, drag, and pressure reduction in the pipeline very accurately. However, along with algorithms' development to optimize pipeline design, the time can be cut by 40%. This research uses computer-generated Dijkstra's algorithm to optimize pipeline design by considering several constraints in pipe spacing, the number of bends, crossings, pipeline stacks to improve drag reduction, and reducing pressure. The data generated in the way of a comparison between drag reduction and pressure drop in pipe design optimization utilizing Dijkstra's and without using the Dijkstra's algorithm with 3-dimensional projections. The result shows the improvement of the drag reduction rate by 8% by decreasing pressure drop by 13%.
KW - 3-dimensional projections
KW - Dijkstra’s Algorithm
KW - Drag Reduction
KW - Optimal Pipeline Route
KW - Pressure Drop
UR - http://www.scopus.com/inward/record.url?scp=85126655997&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85126655997
SN - 2756-8202
VL - 1
SP - 1
EP - 10
JO - Journal of Advanced Research in Experimental Fluid Mechanics and Heat Transfer
JF - Journal of Advanced Research in Experimental Fluid Mechanics and Heat Transfer
IS - 1
ER -