Synthesis and optimization for shape memory behaviour of 4D printed GNPs reinforced shape memory photopolymer composite

被引:3
|
作者
Borra, N. Dhanunjayarao [1 ,2 ]
Neigapula, Venkata Swamy Naidu [1 ]
机构
[1] Natl Inst Technol Raipur, Dept Mech Engn, Raipur, India
[2] Vignans Inst Informat Technol A, Dept Mech Engn, Visakhapatnam, India
关键词
Nano graphene; Photopolymer composite; Design of experiments; Taguchi; Regression analysis; Masked stereolithography;
D O I
10.1108/RPJ-08-2022-0254
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
PurposeShape memory materials are functional materials having a good number of applications due to their unique features of programmable material technology such as self-stretching, self-assembly and self-tightening. Advancements in today's technology led to the easy fabrication of such novel materials using 3D printing techniques. When an external stimulus causes a 3D printed specimen to change shape on its own, this process is known as 4D printing. This study aims to investigate the effect of graphene nano platelet (GNPs) on the shape memory behaviour of shape memory photo polymer composites (SMPPCs) and to optimize the shape-changing response by using the Taguchi method. Design/methodology/approachSMPPCs are synthesized by blending different weight fractions (Wt.%) of flexible or soft photopolymer (FPP) resin with hard photopolymer (HPP) resin, then reinforced with GNPs at various Wt.% to the blended PP resin, and then fabricated using masked stereolithography (MSLA) apparatus. The shape memory test is conducted to assess the shape recovery time (T), shape fixity ratio (R-f), shape recovery ratio (R-r) and shape recovery rate (V-r) using Taguchi analysis by constructing an L9 orthogonal array with parameters such as Wt.% of a blend of FPP and HPP resin, Wt.% of GNPs and holding time. FindingsSMPPCs with A3, B3 and C2 result in a faster T with 2 s, whereas SMPPCs with A1, B1 and C3 result in a longer T with 21 s. The factors A and B are ranked as the most significant in the Pareto charts that were obtained, whereas C is not significant. It can be seen from the heatmap plot that when factors A and B increase, T is decreasing and V-r is increasing. The optimum parameters for T and V-r are A3, B3 and C2 at the same time for R-f and R-r are A1, B3 and C1. Research limitations/implicationsFaster shape recovery results from a higher Wt.% of FPP resin in a blend than over a true HPP resin. This is because the flexible polymer links in FPP resin activate more quickly over time. However, a minimum amount of HPP resin also needs to be maintained because it plays a role in producing higher R-f and V-r. The use of GNPs as reinforcement accelerates the T because nanographene conducts heat more quickly, releasing the temporary shape of the specimen more quickly. Originality/valueThe use of FPP and HPP resin blends, fabricating the 4D-printed SMPPCs specimens with MSLA technology, investigating the effect of GNPs and optimizing the process parameters using Taguchi and the work was validated using confirmation tests and regression analysis, which increases the originality and novelty.
引用
收藏
页码:1175 / 1194
页数:20
相关论文
共 50 条
  • [31] The concealed intelligent switch based on 4D printed shape-memory polymers
    Fu, Yanjun
    Chen, Kejian
    Li, Shihao
    Zhang, Xiaofan
    Wei, Yao
    [J]. FUNCTIONAL MATERIALS LETTERS, 2020, 13 (05)
  • [32] Shape memory response and hierarchical motion capabilities of 4D printed auxetic structures
    Pandini, Stefano
    Inverardi, Nicoletta
    Scalet, Giulia
    Battini, Davide
    Bignotti, Fabio
    Marconi, Stefania
    Auricchio, Ferdinando
    [J]. MECHANICS RESEARCH COMMUNICATIONS, 2020, 103
  • [33] 4D printed programmable shape memory left atrial appendage occlusion device
    Lin, Cheng
    Liu, Liwu
    Liu, Yanju
    Leng, Jinsong
    [J]. BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION XII, 2022, 12041
  • [34] 4D printed shape memory alloy binary bits for unconventional information processing
    Liu, Ruifeng
    Wang, Yongquan
    Yang, Yang
    [J]. Virtual and Physical Prototyping, 2024, 19 (01)
  • [35] 4D PRINTED BILAYER HELICAL STRUCTURES MECHANICAL BEHAVIORS AND SHAPE MEMORY EFFECTS
    Zeng, Siyuan
    Feng, Yixiong
    Gao, Yicong
    Tan, Jianrong
    Wei, Zhe
    [J]. PROCEEDINGS OF ASME 2021 CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS (SMASIS2021), 2021,
  • [36] 4D Printed Shape-Memory Elastomer for Thermally Programmable Soft Actuators
    Song, Qingchuan
    Chen, Yunong
    Slesarenko, Viacheslav
    Zhu, Pang
    Hamza, Ahmed
    Hou, Peilong
    Helmer, Dorothea
    Kotz-Helmer, Frederik
    Rapp, Bastian E. E.
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2023, 15 (34) : 40923 - 40932
  • [37] 4D printed anisotropic structures with tailored mechanical behaviors and shape memory effects
    Liu, Tianzhen
    Liu, Liwu
    Zeng, Chengjun
    Liu, Yanju
    Leng, Jinsong
    [J]. COMPOSITES SCIENCE AND TECHNOLOGY, 2020, 186
  • [38] Continuum and subcontinuum simulation of FDM process for 4D printed shape memory polymers
    Akbar, Ijaz
    Hadrouz, Mourad El
    Mansori, Mohamed El
    Lagoudas, Dimitri
    [J]. JOURNAL OF MANUFACTURING PROCESSES, 2022, 76 : 335 - 348
  • [39] Contact/impact modeling and analysis of 4D printed shape memory polymer beams
    Damanpack, A. R.
    Bodaghi, M.
    Liao, W. H.
    [J]. SMART MATERIALS AND STRUCTURES, 2020, 29 (08)
  • [40] 4D printed shape memory sandwich structures: experimental analysis and numerical modeling
    Serjouei, A.
    Yousefi, A.
    Jenaki, A.
    Bodaghi, M.
    Mehrpouya, M.
    [J]. SMART MATERIALS AND STRUCTURES, 2022, 31 (05)