Experimental investigation for dynamic stiffness and dimensional accuracy of FDM manufactured part using IV-Optimal response surface design

被引:28
|
作者
Mohamed, Omar Ahmed [1 ]
Masood, Syed Hasan [1 ]
Bhowmik, Jahar Lal [2 ]
机构
[1] Swinburne Univ Technol, Dept Mech & Prod Design Engn, Hawthorn, Vic, Australia
[2] Swinburne Univ Technol, Dept Stat Data Sci & Epidemiol, Hawthorn, Vic, Australia
关键词
Process parameters; Analysis of variance "ANOVA; Dimensional accuracy; Dynamic stiffness; Fused deposition modelling "FDM; Response surface methodology "RSM; OPTIMIZATION; PARAMETERS;
D O I
10.1108/RPJ-10-2015-0137
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose - Fused deposition modeling (FDM) has become an increasingly important process among the available additive manufacturing technologies in various industries. Although there are many advantages of FDM process, a downside of its industrial application is the attainable dimensional accuracy with tight tolerance without compromising the mechanical performance. This paper aims to study the effects of six FDM operating parameters on two conflicting responses, namely, dynamic stiffness and dimensional stability of FDM produced PC-ABS parts. This study also aims to determine the optimal process settings using graphical optimization that satisfy the dynamic mechanical properties without compromising the dimensional accuracy. Design/methodology/approach - The regression models based upon IV-optimal response surface methodology are developed to study the variation of dimensional accuracy and dynamic mechanical properties with changes in process parameter settings. Statistical analysis was conducted to establish the relationships between process variables and dimensional accuracy and dynamic stiffness. Analysis of variance is used to define the level of significance of the FDM operating parameters. Scanning electron microscope and Leica MZ6 optical microscope are used to examine and characterize the morphology of the structures for some specimens. Findings - Experimental results highlight the individual and interaction effects of processing conditions on the dynamic stiffness and part accuracy. The results showed that layer thickness (slice height), raster-to-raster air gap and number of outlines have the largest effect on the dynamic stiffness and dimensional accuracy. The results also showed an interesting phenomenon of the effect of number of contours and the influence of other process parameters. The optimal process conditions for highest mechanical performance and part accuracy are obtained. Originality/value - The effect of FDM processing parameters on the properties under dynamic and cyclic loading conditions has not been studied in the previous published work. Furthermore, simultaneous optimization of dynamic mechanical properties without compromising the dimensional accuracy has also been investigated. On the basis of experimental findings, it is possible to provide practical suggestions to set the optimal FDM process parameters in relation to dynamic mechanical performance, as well as the dimensional accuracy.
引用
收藏
页码:736 / 749
页数:14
相关论文
共 29 条
  • [11] Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design
    Mohamed, Omar Ahmed
    Masood, Syed Hasan
    Bhowmik, Jahar Lal
    APPLIED MATHEMATICAL MODELLING, 2016, 40 (23-24) : 10052 - 10073
  • [12] An experimental investigation of optimal grinding condition for aspheric surface lens using full factorial design
    Baek, S.-Y.
    Lee, J.-H.
    Lee, E.-S.
    Lee, H.-D.
    Key Engineering Materials, 2007, 329 : 27 - 32
  • [13] Experimental investigation and design optimisation for magnetic abrasive flow machining using response surface methodology
    Singh, Palwinder
    Singh, Lakhvir
    Singh, Sehijpal
    INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2020, 61 (2-4): : 244 - 261
  • [14] Optimal Design of a BLDC Motor Considering Three-Dimensional Structures Using the Response Surface Methodology
    Jo S.-T.
    Shin H.-S.
    Lee Y.-G.
    Lee J.-H.
    Choi J.-Y.
    Energies, 2022, 15 (02)
  • [15] An experimental investigation of design parameters for pico-hydro Turgo turbines using a response surface methodology
    Gaiser, Kyle
    Erickson, Paul
    Stroeve, Pieter
    Delplanque, Jean-Pierre
    RENEWABLE ENERGY, 2016, 85 : 406 - 418
  • [16] Experimental investigation on material removal rate, kerf width, surface roughness and the dimensional accuracy the accuracy of hole in Inconel 718 using wire electric discharge
    Nair, Harsh
    Pramanik, A.
    Basak, A. K.
    Prakash, C.
    Debnath, S.
    Shankar, S.
    Dixit, Amit Rai
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2024, 238 (03) : 1017 - 1030
  • [17] Experimental investigation and analysis of dimensional accuracy of laser-based powder bed fusion made specimen by application of response surface methodology
    Hiren, M.
    Gajera, M. E.
    Dave, Komal G.
    Jani, Veera P.
    PROGRESS IN ADDITIVE MANUFACTURING, 2019, 4 (04) : 371 - 382
  • [18] Experimental investigation and analysis of dimensional accuracy of laser-based powder bed fusion made specimen by application of response surface methodology
    M. Hiren
    M. E. Gajera
    Komal G. Dave
    Veera P. Jani
    Progress in Additive Manufacturing, 2019, 4 : 371 - 382
  • [19] Structural Dynamic Optimization for Carriage of Gantry Machining Center Using Orthogonal Experimental Design and Response Surface Method
    Liu, Shi-Hao
    Ye, Wen-Hua
    Lou, Pei-Huang
    Tang, Dun-Bing
    Huang, Jun-Gui
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2012, 33 (03): : 211 - 219
  • [20] Optimal Design of Permanent Magnetic Actuator for Permanent Magnet Reduction and Dynamic Characteristic Improvement using Response Surface Methodology
    Ahn, Hyun-Mo
    Chung, Tae-Kyung
    Oh, Yeon-Ho
    Song, Ki-Dong
    Kim, Young-Il
    Kho, Heung-Ryeol
    Choi, Myeong-Seob
    Hahn, Sung-Chin
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2015, 10 (03) : 935 - 943