Innovations in Metal Additive Manufacturing

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Additive Manufacturing".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3214

Special Issue Editor


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Guest Editor
School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN 47907, USA
Interests: additive manufacturing; synthesis of alloys; laser processing; advanced machining; multiscale multiphysics modeling; composites; laser welding
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Special Issue Information

Dear Colleagues,

Metal additive manufacturing is the fastest growing area of additive manufacturing. This Special Issue is to publish papers covering recent key developments and innovations in the metal additive manufacturing arena. With rapidly growing interest in metal additive manufacturing, the recent research efforts to better understand, analyze, and control the microstructure and mechanical properties have significantly increased all over the world. We welcome papers related to, but not limited to, physics-based modeling, data-driven modeling approaches to describing process–microstructure–properties relationships, in-process monitoring, process control, topology optimization, synthesis of new materials and alloys, design, analysis and manufacturing of lattice structures, hierarchical material design, materials for additive manufacturing, as well as various novel applications. This Special Issue will hence serve as a platform to share the latest knowledge and successful results with other fellow researchers and general audiences interested in metal additive manufacturing.

Prof. Dr. Yung C. Shin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metal additive manufacturing
  • modeling
  • process monitoring
  • new material synthesis
  • applications of additive manufacturing
  • materials for additive manufacturing
  • lattice structures

Published Papers (1 paper)

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Research

10 pages, 2127 KiB  
Article
Prediction of Upper Surface Roughness in Laser Powder Bed Fusion
by Wenjia Wang, Hamid Garmestani and Steven Y. Liang
Metals 2022, 12(1), 11; https://doi.org/10.3390/met12010011 - 22 Dec 2021
Cited by 13 | Viewed by 2622
Abstract
In this study, a physics-based analytical method was proposed for the prediction of upper surface roughness in laser powder bed fusion (LPBF). The temperature distribution and molten pool shape in the melting process were first predicted by an analytical thermal model. The cap [...] Read more.
In this study, a physics-based analytical method was proposed for the prediction of upper surface roughness in laser powder bed fusion (LPBF). The temperature distribution and molten pool shape in the melting process were first predicted by an analytical thermal model. The cap area of the solidified molten pool was assumed to be half-elliptical. Based on this assumption and the principle of mass conservation, the cap height and the specific profile of the cap area were obtained. The transverse overlapping pattern of adjacent molten pools of upper layer was then obtained, with given hatch space. The analytical expression of the top surface profile was obtained after putting this overlapping pattern into a 2D coordinate system. The expression of surface roughness was then derived as an explicit function of the process parameters and material properties, based on the definition of surface roughness (Ra) in the sense of an arithmetic average. The predictions of surface roughness were then compared with experimental measurements of 316L stainless steel for validation and show acceptable agreement. In addition, the proposed model does not rely on numerical iterations, which ensures its low computational cost. Thus, the proposed analytical method can help understand the causes for roughness in LPBF and guide the optimization of process conditions to fabricate products with good quality. The sensitivity of surface roughness to process conditions was also investigated in this study. Full article
(This article belongs to the Special Issue Innovations in Metal Additive Manufacturing)
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