Surrogate Based Sensitivity Analysis of Part Strength due to Process Parameters in Fused Deposition Modelling

被引:6
|
作者
Jothibabu, Gokulakrishnan [1 ]
Gurunathan, Saravana Kumar [1 ]
机构
[1] Indian Inst Technol Madras, Chennai 600036, Tamil Nadu, India
来源
INTERNATIONAL CONFERENCE ON ROBOTICS AND SMART MANUFACTURING (ROSMA2018) | 2018年 / 133卷
关键词
FDM; LHS; Surrogate; Sensitivity analysis;
D O I
10.1016/j.procs.2018.07.120
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fused Deposition Modeling (FDM) is an additive manufacturing process where the part is built using a layer by layer approach. The tensile strength of 3D printed parts using FDM depend upon its process parameters. In this paper, three process parameters, namely, layer thickness, raster angle and infill density were considered. Experiments were conducted based on samples generated by Latin Hypercube Sampling (LHS) to find the tensile strength of printed parts. Based on the experimental response and input parameters, a surrogate model was constructed. Global sensitivity analysis was carried out on the surrogate using Sobol's method to find the parameter variations that affects the strength of parts. Layer thickness has the least effect and infill density has more effect on the tensile strength of FDM parts. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:772 / 778
页数:7
相关论文
共 50 条
  • [31] Optimization of fused deposition modelling process parameters and the effect on residual stresses of built parts
    Nyiranzeyimana, Gaudence
    Mutua, James Mutuku
    Mbuya, Thomas Ochuku
    Mose, Bruno Robert
    MATERIALS TODAY-PROCEEDINGS, 2022, 66 : 2914 - 2918
  • [32] 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
  • [33] Optimization of printing parameters in fused deposition modeling for improving part quality and process sustainability
    Camposeco-Negrete, Carmita
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 108 (7-8): : 2131 - 2147
  • [34] Optimization of printing parameters in fused deposition modeling for improving part quality and process sustainability
    Carmita Camposeco-Negrete
    The International Journal of Advanced Manufacturing Technology, 2020, 108 : 2131 - 2147
  • [35] A framework for fused deposition modelling process evaluation using multivariate process capability analysis
    Alatefi, Moath
    Al-Ahmari, Abdulrahman M.
    AlFaify, Abdullah Yahia
    Saleh, Mustafa
    PLOS ONE, 2024, 19 (12):
  • [36] Analysis on fused deposition modelling performance
    Abu Bakar, Nur Saaidah
    Alkahari, Mohd Rizal
    Boejang, Hambali
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2010, 11 (12): : 972 - 977
  • [37] Analysis on fused deposition modelling performance
    Nur Saaidah Abu BAKAR
    Mohd Rizal ALKAHARI
    Hambali BOEJANG
    Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2010, 11 (12) : 972 - 977
  • [38] Analysis on fused deposition modelling performance
    Nur Saaidah Abu Bakar
    Mohd Rizal Alkahari
    Hambali Boejang
    Journal of Zhejiang University-SCIENCE A, 2010, 11 : 972 - 977
  • [39] Analysis on fused deposition modelling performance
    Nur Saaidah Abu BAKAR
    Mohd Rizal ALKAHARI
    Hambali BOEJANG
    Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2010, (12) : 972 - 977
  • [40] Multi-Response Optimization of Fused Deposition Modelling Process Parameters of ABS Using Response Surface Methodology (RSM)-Based Desirability Analysis
    Srivastava, Manu
    Maheshwari, Sachin
    Kundra, T. K.
    Rathee, Sandeep
    MATERIALS TODAY-PROCEEDINGS, 2017, 4 (02) : 1972 - 1977