Journal Industrial Servicess
Vol 11, No 1 (2025): April 2025

Optimizing centrifugal water pump design for enhanced water use efficiency in Batam Marina Plantations

Asmarawati, Citra Indah (Universitas Putera Batam)
Wibowo, Sadiq Ardo (Institut Teknologi Batam)
Gumilang, Reno Reza (Universitas Putera Batam)



Article Info

Publish Date
23 Mar 2025

Abstract

Water demand in the plantation area has been increasing by 6% per year due to population growth, making the existing main water pump insufficient. To address this, a new centrifugal pump was designed with a focus on efficiency and ease of assembly using the Design for Manufacture and Assembly (DFMA) method and the French design analysis method. This study aims to develop an optimal pump design with an estimated service life of over five years, ensuring a reliable and sustainable water supply for the plantation area. The DFMA analysis showed that the design efficiency index improved from 0.30% in the current design to 0.77% in the alternative design—an increase of 0.47%. The alternative design was chosen because it offers faster assembly, lower costs, and fewer components compared to the existing model. Beyond improving efficiency, the optimized centrifugal pump is expected to last more than five years. This durability is supported by using corrosion-resistant grade 316 stainless steel for key components, material strength tests through finite element analysis (FEA) simulations under maximum operating conditions, and fatigue testing on the impeller, which confirmed its ability to withstand repeated use.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...