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Materials Science in Additive Manufacturing                           3D-printed LMPA-integrated soft robots



              Furthermore,  the  ability  of  the  LMPA  to  transition   or indirectly. Other authors declare that they have no
            between states opens up new possibilities for the design   competing interests.
            and application of soft robots. This state-changing
            capability can be leveraged to create more versatile and   Author contributions
            adaptable robotic systems that can perform a wider range   Conceptualization: Jingchao Jiang and Wei–Hsin Liao
            of tasks with improved efficiency and performance. The   Formal analysis: Liuchao Jin, Kang Zhang, Jingchao Jiang,
            use of material extrusion and 3D printing technologies also   and Wei–Hsin Liao
            allows for the precise and customizable fabrication of these   Investigation: Liuchao Jin, Xiaoya Zhai, Kang Zhang, and
            soft grippers, enabling the creation of intricate designs that   Jingchao Jiang
            are tailored to specific applications.             Methodology: Liuchao Jin, Xiaoya Zhai, and Jingchao Jiang
              However, it is important to acknowledge the limitations   Writing – original draft: Liuchao Jin and Jingchao Jiang
            of this method. The thermal processes involved in heating   Writing – review and editing: Jingchao Jiang and Wei–Hsin
            and cooling the LMPA require time, which can lead     Liao
            to  extended  durations  in  the  process  of  transporting
            objects. This time factor may pose a challenge in   Ethics approval and consent to participate
            applications where  rapid  response  and quick operations   Not applicable.
            are critical. Future research could focus on optimizing the
            thermal management and control systems to reduce the   Consent for publication
            transition times and enhance the overall efficiency of the   Not applicable.
            LMPA-integrated soft grippers.
              The integration of LMPA into soft grippers through   Availability of data
            material extrusion presents a promising approach to   The data supporting the findings of this study are available
            address the energy consumption challenges in soft robotics.   within the article.
            This innovation not only enhances the energy efficiency
            and mechanical performance of the soft grippers but also   References
            paves  the  way  for  more versatile  and  adaptable  robotic   1.   Gibson I, Rosen DW, Stucker B, et al. Additive Manufacturing
            systems.  Despite  the current limitations, the  potential   Technologies. Vol. 17. Germany. Springer; 2021.
            benefits and applications of this technology are significant,
            warranting further exploration and development in the      doi: 10.1007/978-1-4939-2113-3
            field of soft robotics.                            2.   Zhai X, Jin L, Jiang J. A survey of additive manufacturing
                                                                  reviews. Mater Sci Addit Manuf. 2022;1(4):21.
            Acknowledgments                                       doi: 10.18063/msam.v1i4.21

            The authors are grateful for the experimental support   3.   Jiang J. A  survey of machine learning in additive
            from Zhichao Shen and Qitao Lu. For the purpose of open   manufacturing technologies.  Int J Comput Integr Manuf.
            access, the authors have applied a Creative Commons   2023;36(9):1258-1280.
            Attribution  (CC  BY)  license  to  any  Author  Accepted      doi: 10.1080/0951192X.2023.2177740
            Manuscript version arising from this submission.
                                                               4.   Jin L, Zhai X, Wang K, et al. Big data, machine learning,
            Funding                                               and digital twin assisted additive manufacturing: A review.
                                                                  Mater Des. 2024;244:113086.
            This work was funded by the Research Grants Council
            (C4074-22G), Hong Kong Special Administrative Region,      doi: 10.1016/j.matdes.2024.113086
            China, The Chinese University of Hong Kong (Project ID:   5.   Uriondo A, Esperon-Miguez M, Perinpanayagam S.
            3110174), Provincial Natural Science Foundation of Anhui   The present and future of additive manufacturing in the
            (2208085QA01), and Fundamental Research Funds for the   aerospace sector: A review of important aspects. Proc Inst
            Central Universities (WK0010000075).                  Mech Eng G J Aerosp Eng. 2015;229(11):2132-2147.
                                                                  doi: 10.1177/0954410014568797
            Conflicts of interest
                                                               6.   Lu Z, San SLL, Tan MJ, An J, Zhang Y, Chua CK. Preliminary
            Jingchao Jiang serves as the Editorial Board Member of the   investigation on tensile and fatigue properties of ti6al4v
            journal but was not in any way involved in the editorial   manufactured  by  selected  laser  melting.  Mater  Sci  Addit
            and peer-review process conducted for this paper, directly   Manuf. 2023;2(2):0912.



            Volume 3 Issue 3 (2024)                         7                              doi: 10.36922/msam.4144
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