Literature DB >> 33673267

A Comparative Analysis of Laser Additive Manufacturing of High Layer Thickness Pure Ti and Inconel 718 Alloy Materials Using Finite Element Method.

Sapam Ningthemba Singh1,2, Sohini Chowdhury1, Yadaiah Nirsanametla1, Anil Kumar Deepati3, Chander Prakash4,5, Sunpreet Singh6, Linda Yongling Wu5, Hongyu Y Zheng5, Catalin Pruncu7,8.   

Abstract

Investigation of the selective laser melting (SLM) process, using finite element method, to understand the influences of laser power and scanning speed on the heat flow and melt-pool dimensions is a challenging task. Most of the existing studies are focused on the study of thin layer thickness and comparative study of same materials under different manufacturing conditions. The present work is focused on comparative analysis of thermal cycles and complex melt-pool behavior of a high layer thickness multi-layer laser additive manufacturing (LAM) of pure Titanium (Ti) and Inconel 718. A transient 3D finite-element model is developed to perform a quantitative comparative study on two materials to examine the temperature distribution and disparities in melt-pool behaviours under similar processing conditions. It is observed that the layers are properly melted and sintered for the considered process parameters. The temperature and melt-pool increases as laser power move in the same layer and when new layers are added. The same is observed when the laser power increases, and opposite is observed for increasing scanning speed while keeping other parameters constant. It is also found that Inconel 718 alloy has a higher maximum temperature than Ti material for the same process parameter and hence higher melt-pool dimensions.

Entities:  

Keywords:  Inconel 718; finite element modeling; laser additive manufacturing; melt-pool formation; pure Ti

Year:  2021        PMID: 33673267     DOI: 10.3390/ma14040876

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  Modeling, Simulation and Data Processing for Additive Manufacturing.

Authors:  Mika Salmi
Journal:  Materials (Basel)       Date:  2021-12-15       Impact factor: 3.623

  1 in total

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