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https://hdl.handle.net/10356/174747
Title: | Interface hardness analysis of between IN625 and CoCrMo manufactured by pulsed wave laser powder bed fusion | Authors: | Hoo, Zhiong Sheng Xiao, Zhongmin Yao, Liming Jing, Bozhong Jin, Chuanjie Tang, Chao |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Hoo, Z. S., Xiao, Z., Yao, L., Jing, B., Jin, C. & Tang, C. (2024). Interface hardness analysis of between IN625 and CoCrMo manufactured by pulsed wave laser powder bed fusion. Micromachines, 15(1), 162-. https://dx.doi.org/10.3390/mi15010162 | Project: | SC3DP 001163-00010 |
Journal: | Micromachines | Abstract: | The nuclear and petrochemical industries often require multi-metal parts that are corrosion-resistant, heat-resistant, and possess high strength to enhance equipment safety and reduce downtime. Additive manufacturing technology enables the rapid and flexible processing of multi-metal parts to meet these stringent demands. This study is aimed at investigating the interface hardness between CoCrMo/IN625 to determine optimal processing parameters that can be utilized in manufacturing reliable and durable multi-metal parts. The result indicates that when the volumetric energy density, Ev, is at or below 20 J/mm3, microfluidic forces are unable to sufficiently diffuse between the two metals, leading to insufficient diffusion, and the high hardness CoCrMo acts as a support, resulting in a significantly higher interface hardness. As Ev increases, intense recoil pressure within the microfluidic forces disrupts the melt pool, allowing for full diffusion between the two metals. The fully diffused high-hardness CoCrMo has been diluted by the low-hardness IN625, thus reducing the interface hardness. Considering the interface hardness, strength, and printing efficiency (time and energy consumption), we recommend a range of 35 J/mm3 < Ev ≤ 75 J/mm3. In this range, the average values for interface hardness and tensile strength of the samples are approximately 382 HV and 903 MPa, respectively. | URI: | https://hdl.handle.net/10356/174747 | ISSN: | 2072-666X | DOI: | 10.3390/mi15010162 | Schools: | School of Mechanical and Aerospace Engineering | Organisations: | Institute of High Performance Computing, A*STAR | Rights: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles |
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micromachines-15-00162-v2.pdf | 2.6 MB | Adobe PDF | ![]() View/Open |
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