Numerical modelling of additive manufacturing process for stainless steel tension testing samples

Veerappan Veerappan, Raju Majji, Yixia Zhang, Baoling Wang, Richard (Chunhui) Yang

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Nowadays additive manufacturing (AM) technologies including 3D printing grow rapidly and they are expected to replace conventional subtractive manufacturing technologies to some extents. During a selective laser melting (SLM) process as one of popular AM technologies for metals, large amount of heats is required to melt metal powders, and this leads to distortions and/or shrinkages of additively manufactured parts. It is useful to predict the 3D printed parts to control unwanted distortions and shrinkages before their 3D printing. This study develops a two-phase numerical modelling and simulation process of AM process for 17-4PH stainless steel and it considers the importance of post-processing and the need for calibration to achieve a high-quality printing at the end. By using this proposed AM modelling and simulation process, optimal process parameters, material properties, and topology can be obtained to ensure a part 3D printed successfully.
Original languageEnglish
Title of host publicationRecent Advances in Computational Methods and Applications: Proceedings for the Fifth Australasian Conference on Computational Mechanics (ACCM 2021), Western Sydney University, Sydney, Australia, 13 - 15 December 2021
PublisherAustralian Association for Computational Mechanics
Pages310-312
Number of pages3
Publication statusPublished - 2021
EventAustralasian Conference on Computational Mechanics -
Duration: 1 Jan 2021 → …

Conference

ConferenceAustralasian Conference on Computational Mechanics
Period1/01/21 → …

Fingerprint

Dive into the research topics of 'Numerical modelling of additive manufacturing process for stainless steel tension testing samples'. Together they form a unique fingerprint.

Cite this