4.7 Review

Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D printing of materials and cellular metamaterials

期刊

MATERIALS & DESIGN
卷 226, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2023.111661

关键词

Multi-material; Additive manufacturing; 3D printing; Cellular metamaterials; Cellular structures; DfAM

向作者/读者索取更多资源

This article provides a comprehensive summary of multi-material additive manufacturing (MMAM) systems and their working principles. It reviews the strategies for multi-material combination, modeling, and analysis, and discusses the limitations and challenges at multi-material interfaces. Possible strategies to overcome these challenges are discussed, and future directions are stated.
Extensive research on nature-inspired cellular metamaterials has globally inspired innovations using sin-gle material and limited multifunctionality. Additive manufacturing (AM) of intricate geometries using multi-materials provides additional functionality, environmental adaptation, and improved mechanical properties. Recently, several studies have been conducted on multi-material additive manufacturing (MMAM) technologies, including multi-materials, methodologies, design, and optimization. However, in the past six years, very few or no systematic and complete reviews have been conducted in this research domain. This review intends to comprehensively summarize MMAM systems and the working principles of its fundamental processes. Herein, the Multi-material combinations and their design, modeling, and analysis strategies have been reviewed systematically. In particular, the focus is on applications and opportunities for using MMAM for several industries and postprocessing MMAM fabricated parts. Furthermore, this review identified the limitations and challenges of existing software packages, MMAM processes, materials, and joining mechanisms, especially at the multi-material interfaces. Finally, we discuss the possible strategies to overcome the aforementioned technological challenges and state the future directions, which will provide insights to researchers and engineers designing and manufacturing complex nature-inspired objects. ?? 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Artificial Intelligence

Machine learning integrated design for additive manufacturing

Jingchao Jiang, Yi Xiong, Zhiyuan Zhang, David W. Rosen

Summary: This paper proposes a design for additive manufacturing (AM) framework integrated with machine learning (ML) to learn the complex relationships between design and performance spaces. It demonstrates the effectiveness of using ML in designing a customized ankle brace with tunable mechanical performance.

JOURNAL OF INTELLIGENT MANUFACTURING (2022)

Article Automation & Control Systems

Design and performance evaluation of multi-helical springs fabricated by Multi Jet Fusion additive manufacturing technology

Ahmad Bin Arshad, Aamer Nazir, Jeng-Ywan Jeng

Summary: Springs are widely used mechanical devices in various industries and mechanisms, traditionally manufactured with limitations in varying parameters like pitch and wire diameter. Additive manufacturing processes allow for designing and producing springs with variable parameters, increasing stiffness while decreasing fatigue life as parameters are altered.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2022)

Article Engineering, Manufacturing

Design and Evaluation of Asphalt Concrete Incorporating Plastic Aggregates Fabricated Using 3D Printing Technology

Aamer Nazir, Min-Chih Liao, Yan-Wei Zhu, Usman Nazir

Summary: The study suggests that using plastic materials in asphalt mixtures can reduce bulk density, increase stability, and enhance strain capacity. However, caution should be taken when incorporating hollow or fine printed plastic aggregates.

3D PRINTING AND ADDITIVE MANUFACTURING (2022)

Article Automation & Control Systems

Investigation of torsional properties of surface- and strut-based lattice structures manufactured using multiJet fusion technology

Yeabsra Mekdim Hailu, Aamer Nazir, Chi-Pin Hsu, Shang-Chih Lin, Jeng-Ywan Jeng

Summary: This study investigates the mechanical properties of three different lattice structures under torsional loading. Results show that surface-based structures have higher torsional stiffness and energy absorption capacity compared to strut-based structures.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2022)

Article Engineering, Mechanical

Lightweight design of two-level supports for extrusion-based additive manufacturing based on metaheuristic algorithms

Ruiliang Feng, Jingchao Jiang, Atul Thakur, Xiangzhi Wei

Summary: This paper presents a lightweight two-level support structure for extrusion-based additive manufacturing (EBAM). The problem is divided into two subproblems: finding a slim Level 1 support and a slim Level 2 support. Three efficient metaheuristic algorithms are developed to solve these subproblems. The simulation results show that the proposed method saves materials compared to existing methods.

RAPID PROTOTYPING JOURNAL (2023)

Article Automation & Control Systems

Evaluating flexural response of additively manufactured functionally graded surface-based lattice structured cantilever beams

Ahmed Gohar, Aamer Nazir, Shang-Chih Lin, Jeng-Ywan Jeng

Summary: This study designs functionally graded lattice structures with three different triply periodic minimal surface (TPMS) structures (Gyroid, Schwarz-P, and Schwarz-D) to optimize mechanical properties by changing relative density and period. The structures are additively manufactured and tested in flexure, showing that changing the period decreases mechanical properties and leads to stress concentrations and early failure.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2023)

Article Computer Science, Interdisciplinary Applications

A survey of machine learning in additive manufacturing technologies

Jingchao Jiang

Summary: Thirty years after its development, additive manufacturing has become a mainstream manufacturing process, fabricating products layer-by-layer based on a 3D model. It allows for manufacturing complex parts and offers more design optimization possibilities compared to traditional techniques. Machine learning, a hot technology used in various fields, including medical diagnosis and image processing, is now being increasingly applied in the manufacturing industry, particularly additive manufacturing. This paper provides a comprehensive understanding of the current status of machine learning-enhanced additive manufacturing technologies and discusses future perspectives in a special issue organized by the International Journal of Computer Integrated Manufacturing.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2023)

Review Chemistry, Physical

Pore defects in Laser Powder Bed Fusion: Formation mechanism, control method, and perspectives

Chuanbin Du, Yanhua Zhao, Jingchao Jiang, Qian Wang, Haijin Wang, Nan Li, Jie Sun

Summary: This paper reviews the pore defects in laser powder bed fusion (LPBF) additive manufacturing. Firstly, the formation mechanisms are summarized based on current research. Secondly, the effects of porosity and pore characteristics on mechanical properties are clarified. Thirdly, the control methods and strategies to reduce pore defects are discussed. Finally, research gaps and future directions are given.

JOURNAL OF ALLOYS AND COMPOUNDS (2023)

Article Engineering, Manufacturing

Low-melting-point alloys integrated extrusion additive manufacturing

Jingchao Jiang, Xiaoya Zhai, Kang Zhang, Liuchao Jin, Zhichao Shen, Wei-Hsin Liao

Summary: Additive manufacturing has significantly developed, and low-melting point alloys (LMPAs) are becoming more attractive due to their favorable electrical/thermal conductivities and mechanical strengths. However, LMPA additive manufacturing is still in its infancy. This paper presents a novel strategy using extrusion additive manufacturing with two nozzles to fabricate complex and/or multifunctional LMPA components, enabling the use of LMPAs in various applications.

ADDITIVE MANUFACTURING (2023)

Editorial Material Computer Science, Interdisciplinary Applications

Special issue on machine learning in additive manufacturing

Jingchao Jiang, Bin Zou, Jikai Liu, David Rosen

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2023)

Article Engineering, Multidisciplinary

Design for reversed additive manufacturing low-melting-point alloys

Jingchao Jiang, Xiaoya Zhai, Liuchao Jin, Kang Zhang, Jun Chen, Qitao Lu, Wei-Hsin Liao

Summary: This paper presents a new manufacturing method called reversed additive manufacturing (RAM), discusses the design process and parameter settings of RAM, and demonstrates its feasibility through experiments. The findings of this study have significant implications for improving the design efficiency of RAM.

JOURNAL OF ENGINEERING DESIGN (2023)

Article Green & Sustainable Science & Technology

Unveiling the structure-activity relationship of hollow spindle-like α -Fe2O3 nanoparticles via phosphorus doping engineering for enhanced lithium storage

Kun Wang, Jun Cao, Jianhong Gao, Jing Zhao, Wei Jiang, Waqar Ahmad, Jingchao Jiang, Min Ling, Chengdu Liang, Jun Chen

Summary: In this study, a design strategy of inner-outer phosphorus (P) doped hollow spindle-like alpha-Fe2O3 nanoparticles (NPs) was introduced to improve the electroconductivity and buffering volume expansion of low-cost earth-abundant transition metal oxides (TMOs) used as anodes in Li-ion batteries. The results showed that the calcination temperature determined the P contents, and increasing temperature led to the emergence and disappearance of P-Fe3O4/Fe2O3 heterojunctions and the transition of hollow-to-solid structures, thus improving the electrochemical performances, electronic/ionic conductivity, and reaction kinetics. Notably, a 10 wt% P doped Fe2O3 (350 degrees C) anode exhibited remarkable rate capacity and cycle stability, indicating the potential of this design strategy to enhance the electrochemical performance of energy storage devices.

SUSTAINABLE MATERIALS AND TECHNOLOGIES (2023)

暂无数据