The effective adsorption of Ni(II) and nitrate from aquatic systems by superparamagnetic MoS2/γ-Fe2O3 nanocomposites: Optimization through RSM-CCD design

Ostovar, Somayeh; Saravani, Hamideh; Akbari, Maryam; Salehpour, Amanolah; Sabaghi, Mohammad; Rezazadeh, Esmaiel

doi:10.1016/j.arabjc.2024.105599

Cited by 3 publications

(1 citation statement)

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“…Overall, there are 5 different levels of both methods in Table 1. In the RSM method with Central Composite Design (CCD), the number of experiments is 20 tests [20]. For the Taguchi method using an orthogonal array matrix, OA L9 is used, namely 9 tests, selecting the L9 orthogonal array matrix because it can improve experimental efficiency, focus on critical factors, and simpler analysis [21].…”

Section: Data Collection Methodsmentioning

confidence: 99%

Comparative Analysis of Response Surface Methodology (Rsm) Method and Taguchi Method: Optimization Hydraulic Ram Pump Performance

Romelin,

Zahedi,

Nusantara

2024

Preprint

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Hydraulic ram pumps offer an energy-efficient solution for water lifting, crucial in rural areas with limited electricity access. Comparative analysis using Response Surface Methodology (RSM) and Taguchi method reveals distinct experimental designs and optimization outcomes. RSM entails 20 experiments, yielding optimal points at Input Height (3 m), Input Length (12 m), and Vacuum Tube Length (120 cm). In contrast, Taguchi employs 9 experiments, with optimal points at Input Height (3 m), Input Length (6 m), and Vacuum Tube Lenght (120 cm). For the equation model, the RSM method shows a complex mathematical equation involving interactions between variables, while the Taguchi method provides a simpler equation. As for the most optimal variable when viewed from the Significant value in both methods in the ANOVA table, it is found that the input height variable is the most significant variable in optimising the response (discharge). A better understanding of these two methods can help the selection of appropriate methods for specific situations, strengthen the understanding of hydram pump performance, and contribute to the development of more efficient and sustainable hydram pump technology.

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Section: Data Collection Methodsmentioning

confidence: 99%