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Micromachines
Special Issues
Future Prospects of Additive Manufacturing
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Future Prospects of Additive Manufacturing

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2194

Special Issue Editors

Dr. Haiyang Fan

E-Mail Website
Guest Editor
Yantai Research Institute, Harbin Engineering University, Yantai 264000, China
Interests: additive manufacturing; metals and alloys; metal-matrix composite; microstructure and mechanical property
Dr. Shuo Yin

E-Mail Website
Guest Editor
Department of Mechanical, Manufacturing and Biomedical Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland
Interests: additive manufacturing; 3D printing; cold spraying; digital light processing; selective laser melting; high velocity imaging; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Dr. Jincheng Wang

E-Mail Website
Guest Editor
School of Engineering, The University of Western Australia, Crawley, Perth, WA 6009, Australia
Interests: additive manufacturing; laser powder bed fusion; sintering; titanium alloys; nickel superalloys; aluminum alloys; corrosion behavior; surface treatment; porous structure; mechanical property; microstructure
Dr. Sasan Dadbakhsh

E-Mail Website
Guest Editor
Department of Production Engineering, KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden
Interests: additive manufacturing (AM); metal matrix composites; metals and alloys; shape memory alloys
Special Issues, Collections and Topics in MDPI journals
Dr. Changjun Han

E-Mail Website
Guest Editor
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
Interests: selective laser melting; additive manufacturing; porous structures; metal 3D printing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Manufacturing has always been an industry driven by innovation and technological evolution. In the last four decades, additive manufacturing has revolutionized the manufacturing industry by rapidly prototyping geometrically complex parts without costly tooling or long lead times. Today, it is fair to say that understanding the future of additive manufacturing is key to getting to grips with the latest trends in manufacturing.

This Special Issue aims to explore the prospects of various additive manufacturing techniques, as well as their innovative applications in aerospace, marine, automobile, healthcare, sustainability, and more. The main focus is on novel techniques and materials for additive manufacturing, microstructure evolution and properties of additively manufactured components, process optimization, machine learning assistance, online monitoring and feedback, multi-scale and multi-physics simulations, topology optimization, industrial-scale additive manufacturing, etc. We look forward to receiving your contributions to the Special Issue of Future Prospect of Additive Manufacturing with original research work, review articles, and short communications.

Dr. Haiyang Fan
Dr. Shuo Yin
Dr. Jincheng Wang
Dr. Sasan Dadbakhsh
Dr. Changjun Han
Guest Editors

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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

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

  • dedicated materials for additive manufacturing
  • post-processing technologies
  • topological design for additive manufacturing
  • multi-scale and multi-physics simulations
  • online real-time quality monitoring in additive manufacturing
  • 3D bioprinting
  • hybrid additive manufacturing
  • multi-material additive manufacturing
  • field-assisted additive manufacturing
  • novel applications of additive manufacturing

Published Papers (2 papers)

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Research

11 pages, 2602 KiB  
Article
Interface Hardness Analysis of between IN625 and CoCrMo Manufactured by Pulsed Wave Laser Powder Bed Fusion
by Zhiong Sheng Hoo, Zhongmin Xiao, Liming Yao, Bozhong Jing, Chuanjie Jin and Chao Tang
Micromachines 2024, 15(1), 162; https://doi.org/10.3390/mi15010162 - 21 Jan 2024
Viewed by 944
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Future Prospects of Additive Manufacturing)
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14 pages, 5928 KiB  
Article
Design of a Femtosecond Laser Percussion Drilling Process for Ni-Based Superalloys Based on Machine Learning and the Genetic Algorithm
by Zhixi Zhao, Yunhe Yu, Ruijia Sun, Wanrong Zhao, Hao Guo, Zhen Zhang and Chenchong Wang
Micromachines 2023, 14(11), 2110; https://doi.org/10.3390/mi14112110 - 17 Nov 2023
Cited by 1 | Viewed by 810
Abstract
Femtosecond laser drilling is extensively used to create film-cooling holes in aero-engine turbine blade processing. Investigating and exploring the impact of laser processing parameters on achieving high-quality holes is crucial. The traditional trial-and-error approach, which relies on experiments, is time-consuming and has limited [...] Read more.
Femtosecond laser drilling is extensively used to create film-cooling holes in aero-engine turbine blade processing. Investigating and exploring the impact of laser processing parameters on achieving high-quality holes is crucial. The traditional trial-and-error approach, which relies on experiments, is time-consuming and has limited optimization capabilities for drilling holes. To address this issue, this paper proposes a process design method using machine learning and a genetic algorithm. A dataset of percussion drilling using a femtosecond laser was primarily established to train the models. An optimal method for building a prediction model was determined by comparing and analyzing different machine learning algorithms. Subsequently, the Gaussian support vector regression model and genetic algorithm were combined to optimize the taper and material removal rate within and outside the original data ranges. Ultimately, comprehensive optimization of drilling quality and efficiency was achieved relative to the original data. The proposed framework in this study offers a highly efficient and cost-effective solution for optimizing the femtosecond laser percussion drilling process. Full article
(This article belongs to the Special Issue Future Prospects of Additive Manufacturing)
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