Author
Erlei Li
Other affiliations: Northeastern University (China)
Bio: Erlei Li is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Materials science & Fusion. The author has an hindex of 6, co-authored 12 publications receiving 95 citations. Previous affiliations of Erlei Li include Northeastern University (China).
Papers
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TL;DR: In this article, a discrete element method (DEM) model is used to examine the powder spreading process, focusing on the effects of particle adhesion and particle-based behaviors, and the results show that particle adhesiveness can reduce powder packing density and smoothness of the powder bed surface.
62 citations
TL;DR: In this paper, the effects of various spreader geometries on powder spreading are examined by discrete element method (DEM) and the results show that a compact region in the powder pile exists.
50 citations
TL;DR: In this paper, a U-type reduction chamber (URC) is developed as the key component of the novel iron ore suspension roaster, which consists of a fluidization chamber (FC) and a supply chamber (SC), and functions dually as sealing valve and reduction chamber.
48 citations
TL;DR: In this paper, a three-phase model based on the volume of fluid (VOF) is employed to investigate the heat transfer and melt pool behavior in laser powder bed fusion (LPBF), and the results show that the melt pool dimension and its shape are controlled by laser power and scanning speed.
27 citations
TL;DR: In this paper, a validated mathematical model is employed to assess effect of material properties such as powder melting and solidification coefficients and mushy zone constant and the results indicate that a large solidification rate is preferred to avoid the pore defect and surface cavity.
16 citations
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01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.
29,323 citations
TL;DR: In this paper, a detailed review of the physical processes during 3D printing and the fundamental science of densification after sintering and post-heat treatment steps are provided to understand the microstructural evolution and properties of binder jetted parts.
293 citations
TL;DR: In this paper, an innovative suspension magnetization roasting (SMR) technology was developed and utilized for the recovery of iron from a typical refractory iron ore, and the effects of the roasting temperature, CO reducing gas flow rate, and feeding rate on the iron recovery were investigated.
75 citations
TL;DR: In this article, the influence of particle morphology, spreading velocity and layer thickness on the powder bed topography uniformity has been investigated with a laser powder bed fusion printer and the powder layers were spread systematically and comprehensively.
Abstract: Powder spreading is a crucial step in the powder bed fusion process, which controls the quality of powder bed and consequently affects the quality of printed parts. To date, however, powder spreadability has received very little attention and substantial fundamental work is still needed, largely because of the lack of experimental studies. Therefore, the focus of the present study addresses the influences of powder morphology, spreading velocity and layer thickness on the powder bed topography uniformity. The experiments were conducted with a laser powder bed fusion printer and the powder layers were spread systematically and comprehensively assessed. In summary, it was found that particle sphericity and surface texture dictates the degree of impact that the spreader velocity and the layer thickness exert on the quality of powder bed topography in spread layers. The spreader velocity has substantial influence on powder bed uniformity, such that better uniformity is achieved with low spreading velocities, ≤ 80 mm/s. Powders with a wide particle distribution and containing large number of fine particles (
72 citations
TL;DR: A tremendous amount of research has been done on refining the flotation process for iron ore and designing the reagents which go into it as discussed by the authors and this paper reviews the industrial practices and fundamental principles.
Abstract: A tremendous amount of research has been done on refining the flotation process for iron ore and designing the reagents which go into it. This paper reviews the industrial practices and fundamental...
71 citations