The effect of process parameters in fused deposition modelling on bonding degree and mechanical properties

被引:154
作者
Li, Hongbin [1 ]
Wang, Taiyong [1 ]
Sun, Jian [1 ]
Yu, Zhiqiang [1 ]
机构
[1] Tianjin Univ, Dept Mech Engn, Tianjin, Peoples R China
关键词
Fused deposition modelling; Bonding degree; Deat transition; Mechanical property; FDM PROCESS; COMPRESSIVE STRENGTH; PARTS; SCAFFOLDS; OPTIMIZATION; IMPROVEMENT; COMPOSITES; FILAMENTS; ABS;
D O I
10.1108/RPJ-06-2016-0090
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose - The purpose of this paper is to study the effects of these major parameters, including layer thickness, deposition velocity and infill rate, on product's mechanical properties and explore the quantitative relationship between these key parameters and tensile strength of the part. Design/methodology/approach - A VHX-1000 super-high magnification lens zoom three-dimensional (3D) microscope is utilized to observe the bonding degree between filaments. A temperature sensor is embedded into the platform to collect the temperature of the specimen under different parameters and the bilinear elastic-softening cohesive zone model is used to analyze the maximum stress that the part can withstand under different interface bonding states. Findings - The tensile strength is closely related to interface bonding state, which is determined by heat transition. The experimental results indicate that layer thickness plays the predominant role in affecting bonding strength, followed by deposition velocity and the effect of infill rate is the weakest. The numerical analysis results of the tensile strength predict models show a good coincidence with experimental data under the elastic and elastic-softened interface states, which demonstrates that the tensile strength model can predict the tensile strength exactly and also reveals the work mechanism of these parameters on tensile strength quantitatively. Originality/value - The paper establishes the quantitative relationship between main parameters including layer thickness, infill rate and deposition velocity and tensile strength for the first time. The numerically analyzed results of the tensile strength predict model show a good agreement with the experimental result, which demonstrates the effectiveness of this predict model. It also reveals the work mechanism of the parameters on tensile strength quantitatively for the first time.
引用
收藏
页码:80 / 92
页数:13
相关论文
共 50 条
  • [41] Optimizing mechanical properties of PETG fabricated parts via PSO-BFO hybrid algorithm in fused deposition modelling
    Anand, Sourabh
    Dhankhar, Gayatri
    Satyarthi, Manoj Kumar
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2025,
  • [42] A review on exploration of the mechanical characteristics of 3D-printed biocomposites fabricated by fused deposition modelling (FDM)
    Anerao, Prashant
    Kulkarni, Atul
    Munde, Yashwant
    RAPID PROTOTYPING JOURNAL, 2024, 30 (03) : 430 - 440
  • [43] Optimizing multiple process parameters in fused deposition modeling with particle swarm optimization
    Dey, Arup
    Hoffman, David
    Yodo, Nita
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2020, 14 (02): : 393 - 405
  • [44] Evaluating Mechanical Properties and Failure Mechanisms of Fused Deposition Modeling Acrylonitrile Butadiene Styrene Parts
    Uddin, M. S.
    Sidek, M. F. R.
    Faizal, M. A.
    Ghomashchi, Reza
    Pramanik, A.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2017, 139 (08):
  • [45] Performance evaluation of warping characteristic of fused deposition modelling process
    Panda, Biranchi N.
    Shankhwar, K.
    Garg, Akhil
    Jian, Zhang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 88 (5-8) : 1799 - 1811
  • [46] Experimental Investigation and Prediction of Mechanical Properties in a Fused Deposition Modeling Process
    Tura, Amanuel Diriba
    Lemu, Hirpa G.
    Mamo, Hana Beyene
    CRYSTALS, 2022, 12 (06)
  • [47] On the improved mechanical properties of nanoclay reinforced ABS composite for fused deposition modelling
    Francis, Vishal
    Jain, Prashant K.
    INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2018, 57 (1-3) : 20 - 42
  • [48] A hybrid PSO–BFO evolutionary algorithm for optimization of fused deposition modelling process parameters
    Maraboina Raju
    Munish Kumar Gupta
    Neeraj Bhanot
    Vishal S. Sharma
    Journal of Intelligent Manufacturing, 2019, 30 : 2743 - 2758
  • [49] Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
    Obaeed, Nareen Hafidh
    Hamdan, Wisam K.
    ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2024, 18 (01) : 349 - 359
  • [50] Effect of build parameters on processing efficiency and material performance in fused deposition modelling
    Griffiths, C. A.
    Howarth, J.
    Rowbotham, G. de-Almeida
    Rees, A.
    SECOND CIRP CONFERENCE ON BIOMANUFACTURING, 2016, 49 : 28 - 32