scholarly journals Effect of Particle Size Distribution to Remove Contaminants in Groundwater at Dengkil, Selangor

2015 ◽  
Vol 773-774 ◽  
pp. 1158-1162
Author(s):  
Nur Aziemah Abd Rashid ◽  
Ismail Abustan ◽  
Mohd Nordin Adlan

Particle size distribution (PSD) below ground may influence the groundwater flow rate. Due to that, this study focuses on laboratory scale using local alluvial soil to remove contaminants from river water using different of soil PSD samples. In horizontal permeability modelling shows permeability was influenced by the coefficient of uniformity (Cu) of sand. However, the permeability changes was differ between well and poorly graded sand. Well graded sands Cu between 4 to 5 the permeability changes are only between 7.8 – 7.9 x10-4 m/s. Whereas poorly graded sands Cu are between 2.5 to 4 the permeability change between 6.9 – 9.0 x 10-4 m/s. Whereas poorly graded sand was shows as consistent media than well graded to remove contaminants and the permeability rate is higher than well graded sand. Poorly graded (Sand B and C) removes turbidity and iron up to 50%. Because of that poorly graded soil is preferable for RBF application.

2017 ◽  
Vol 184 ◽  
pp. 240-247 ◽  
Author(s):  
A. Norori-McCormac ◽  
P.R. Brito-Parada ◽  
K. Hadler ◽  
K. Cole ◽  
J.J. Cilliers

2017 ◽  
Vol 64 (6) ◽  
pp. 281-287 ◽  
Author(s):  
Nur Zalikha KHALIL ◽  
Sanjay Kumar VAJPAI ◽  
Mie OTA ◽  
Kei AMEYAMA

Author(s):  
Vaishak Ramesh Sagar ◽  
Samuel Lorin ◽  
Johan Göhl ◽  
Johannes Quist ◽  
Christoffer Cromvik ◽  
...  

Abstract Selective laser melting (SLM) process is a powder bed fusion additive manufacturing process that finds applications in aerospace and medical industries for its ability to produce complex geometry parts. As the raw material used is in powder form, particle size distribution (PSD) is a significant characteristic that influences the build quality in turn affecting the functionality and aesthetics aspects of the product. This paper investigates the effect of PSD on the printed geometry for 316L stainless steel powder, where three coupled in-house simulation tools based on Discrete Element Method (DEM), Computational Fluid Dynamics (CFD), and Structural Mechanics are employed. DEM is used for simulating the powder bed distribution based on the different powder PSD. The CFD is used as a virtual testbed to determine thermal parameters such as heat capacity and thermal conductivity of the powder bed viewed as a continuum. The values found as a stochastic function of the powder distribution is used to analyse the effect on the melted zone and deformation using Structural Mechanics. Results showed that mean particle size and PSD had a significant effect on the packing density, melt pool layer thickness, and the final layer thickness after deformation. Specifically, a narrow particle size distribution with smaller mean particle size and standard deviation produced solidified final layer thickness closest to nominal layer thickness. The proposed simulation approach and the results will catalyze in development of geometry assurance strategies to minimize the effect of particle size distribution on the geometric quality of the printed part.


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