A Systematic Survey of FDM Process Parameter Optimization and Their Influence on Part Characteristics

Fused deposition modeling (FDM) is an additive manufacturing (AM) process that is often used to fabricate geometrically complex shaped prototypes and parts. It is gaining popularity as it reduces cycle time for product development without the need for expensive tools. However, the commercialization...

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Bibliographic Details
Published inJournal of Manufacturing and Materials Processing Vol. 3; no. 3; p. 64
Main Authors Dey, Arup, Yodo, Nita
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2019
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Online AccessGet full text
ISSN2504-4494
2504-4494
DOI10.3390/jmmp3030064

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Abstract Fused deposition modeling (FDM) is an additive manufacturing (AM) process that is often used to fabricate geometrically complex shaped prototypes and parts. It is gaining popularity as it reduces cycle time for product development without the need for expensive tools. However, the commercialization of FDM technology in various industrial applications is currently limited due to several shortcomings, such as insufficient mechanical properties, poor surface quality, and low dimensional accuracy. The qualities of FDM-produced products are affected by various process parameters, for example, layer thickness, build orientation, raster width, or print speed. The setting of process parameters and their range depends on the section of FDM machines. Filament materials, nozzle dimensions, and the type of machine determine the range of various parameters. The optimum setting of parameters is deemed to improve the qualities of three-dimensional (3D) printed parts and may reduce post-production work. This paper intensively reviews state-of-the-art literature on the influence of parameters on part qualities and the existing work on process parameter optimization. Additionally, the shortcomings of existing works are identified, challenges and opportunities to work in this field are evaluated, and directions for future research in this field are suggested.
AbstractList Fused deposition modeling (FDM) is an additive manufacturing (AM) process that is often used to fabricate geometrically complex shaped prototypes and parts. It is gaining popularity as it reduces cycle time for product development without the need for expensive tools. However, the commercialization of FDM technology in various industrial applications is currently limited due to several shortcomings, such as insufficient mechanical properties, poor surface quality, and low dimensional accuracy. The qualities of FDM-produced products are affected by various process parameters, for example, layer thickness, build orientation, raster width, or print speed. The setting of process parameters and their range depends on the section of FDM machines. Filament materials, nozzle dimensions, and the type of machine determine the range of various parameters. The optimum setting of parameters is deemed to improve the qualities of three-dimensional (3D) printed parts and may reduce post-production work. This paper intensively reviews state-of-the-art literature on the influence of parameters on part qualities and the existing work on process parameter optimization. Additionally, the shortcomings of existing works are identified, challenges and opportunities to work in this field are evaluated, and directions for future research in this field are suggested.
Author Dey, Arup
Yodo, Nita
Author_xml – sequence: 1
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  orcidid: 0000-0003-2761-6350
  surname: Dey
  fullname: Dey, Arup
– sequence: 2
  givenname: Nita
  surname: Yodo
  fullname: Yodo, Nita
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Cites_doi 10.1108/13552540210441166
10.1088/1757-899X/114/1/012109
10.1016/j.matdes.2009.04.030
10.1631/jzus.A1001365
10.1080/10426910008912976
10.3923/jas.2006.622.630
10.1088/1757-899X/501/1/012030
10.1016/j.mspro.2014.07.441
10.1080/00207540410001708470
10.25071/10315/35337
10.1007/s11668-016-0067-4
10.1016/j.commatsci.2013.06.041
10.1016/j.matpr.2015.07.097
10.3390/ma11081333
10.1016/j.polymertesting.2018.05.020
10.1007/s11837-015-1367-y
10.1007/s10845-018-1420-0
10.1007/s11668-016-0113-2
10.1016/j.dt.2016.11.006
10.1109/ISBEIA.2011.6088811
10.1108/RPJ-10-2012-0091
10.3390/jmmp3010006
10.1115/1.4036713
10.1016/j.mspro.2014.07.146
10.1109/ICSTC.2018.8528667
10.1016/j.promfg.2017.07.079
10.1007/s11665-016-2157-6
10.1007/s00170-014-5796-5
10.1016/j.ijmachtools.2003.12.004
10.1007/s001700050022
10.1108/RPJ-06-2016-0090
10.21817/ijet/2017/v9i2/170902044
10.1088/1757-899X/392/6/062050
10.1007/s00170-014-5835-2
10.1038/srep19207
10.1016/j.jmatprotec.2009.05.016
10.1016/j.scriptamat.2016.10.014
10.3390/polym11050760
10.4028/www.scientific.net/MSF.561-565.2389
10.3390/ma11081382
10.1115/1.1582499
10.1007/s00170-016-9263-3
10.1504/IJRAPIDM.2015.074809
10.1016/j.matdes.2009.06.016
10.1080/17452759.2018.1440722
10.1051/matecconf/201823702014
10.1007/s00170-019-03626-0
10.1016/j.jare.2011.05.001
10.1016/j.apm.2016.06.055
10.4028/www.scientific.net/AMR.748.291
10.1243/09544054JEM990
10.1007/s40436-014-0097-7
10.1016/j.cirp.2009.03.071
10.3390/ma11081322
10.1016/j.procir.2016.02.004
10.1080/17452759.2014.898851
10.1007/s00170-013-5196-2
10.1108/RPJ-07-2014-0083
10.1016/j.matpr.2017.07.132
10.3390/jmmp2010012
10.1108/RPJ-03-2016-0042
10.1108/13552540610652447
10.1108/13552540810862028
10.1115/IMECE2015-52634
10.3390/ma11040466
10.1016/j.measurement.2015.12.011
10.1016/j.matdes.2017.03.065
10.3390/ma8095271
10.1108/RPJ-10-2015-0151
10.1016/j.matdes.2015.06.074
10.1108/RPJ-02-2018-0044
10.3390/ma11020216
10.1016/j.jmatprotec.2005.02.259
10.1080/00207540500031857
10.1109/ICKII.2018.8569166
10.1016/j.matdes.2014.02.038
10.1016/S0924-0136(01)00980-3
10.1007/s00170-018-3014-6
10.1108/13552540710824814
10.1108/RPJ-09-2013-0086
10.1504/IJRAPIDM.2018.089727
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References ref_91
Sun (ref_95) 2008; 14
Caminero (ref_11) 2017; 124
Wu (ref_71) 2015; 8
Ahn (ref_39) 2009; 209
Masood (ref_97) 2000; 16
ref_99
Popescu (ref_18) 2018; 69
ref_98
Liu (ref_33) 2017; 89
ref_19
Ziemian (ref_72) 2015; 21
Lee (ref_36) 2005; 169
Shahrain (ref_94) 2016; 43
Nancharaiah (ref_9) 2011; 2
Rao (ref_16) 2016; 19
Kumar (ref_24) 2012; 110–116
Wittbrodt (ref_73) 2015; 8
Peng (ref_35) 2014; 73
ref_28
Raney (ref_5) 2017; 4
Tontowi (ref_56) 2017; 9
Nancharaiah (ref_6) 2010; 1
Slota (ref_96) 2013; 20
Dong (ref_105) 2018; 19
ref_79
Srivastava (ref_93) 2018; 7
Chandrasekaran (ref_27) 2006; 12
Cantrell (ref_23) 2017; 23
Uddin (ref_77) 2017; 139
Wichniarek (ref_70) 2015; 15
Rankouhi (ref_76) 2016; 16
Ahn (ref_86) 2002; 8
Panda (ref_69) 2014; 5
Baich (ref_87) 2015; 5
ref_83
ref_82
Laeng (ref_37) 2006; 6
ref_80
Sood (ref_54) 2009; 30
Galantucci (ref_61) 2009; 58
Thrimurthulu (ref_59) 2004; 44
ref_85
Srivastava (ref_104) 2018; 13
Zaldivar (ref_21) 2017; 13
Movrin (ref_88) 2014; 39
Wu (ref_38) 2018; 392
Mahmood (ref_78) 2017; 23
(ref_100) 2019; 103
Torres (ref_74) 2016; 22
Arivazhagan (ref_29) 2012; 2
Rathee (ref_92) 2017; 13
Borros (ref_65) 2015; 83
Jami (ref_30) 2013; 748
Torrado (ref_75) 2016; 16
Pandey (ref_106) 2004; 42
Nidagundi (ref_7) 2015; 2
Qattawi (ref_20) 2017; 10
Bakar (ref_40) 2010; 11
Horvath (ref_60) 2007; 561–565
Hu (ref_107) 2017; 135
Boesch (ref_1) 2019; 101
Torres (ref_34) 2015; 67
Tymrak (ref_102) 2014; 58
Wang (ref_53) 2007; 13
Mohamed (ref_55) 2016; 81
Li (ref_84) 2018; 24
Vosynek (ref_81) 2018; 237
Akande (ref_14) 2015; 4
Byun (ref_52) 2005; 43
ref_67
ref_66
Durgun (ref_4) 2014; 20
ref_64
ref_63
ref_62
Mohamed (ref_51) 2016; 40
Kuczko (ref_103) 2014; 31
Rayegani (ref_10) 2014; 73
Beniak (ref_57) 2019; 501
Christiyan (ref_90) 2016; 114
Panda (ref_13) 2009; 1
Zhang (ref_50) 2008; 222
Anitha (ref_58) 2001; 118
ref_32
ref_31
Sood (ref_8) 2012; 3
Sood (ref_12) 2010; 31
Croccolo (ref_68) 2013; 79
Raut (ref_89) 2014; 6
Chen (ref_2) 2016; 6
Mohamed (ref_17) 2015; 3
Gurrala (ref_15) 2014; 9
Montero (ref_25) 2001; 10
ref_47
ref_46
Noriega (ref_41) 2013; 69
ref_45
ref_44
ref_43
Foyos (ref_26) 2000; 15
ref_42
ref_3
ref_49
ref_48
Mohamed (ref_22) 2016; 25
Thomas (ref_101) 2003; 125
References_xml – volume: 8
  start-page: 248
  year: 2002
  ident: ref_86
  article-title: Anisotropic material properties of fused deposition modeling ABS
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/13552540210441166
– volume: 114
  start-page: 012109
  year: 2016
  ident: ref_90
  article-title: A study on the influence of process parameters on the Mechanical Properties of 3D printed ABS composite
  publication-title: IOP Conf. Ser. Mater. Sci. Eng.
  doi: 10.1088/1757-899X/114/1/012109
– volume: 30
  start-page: 4243
  year: 2009
  ident: ref_54
  article-title: Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2009.04.030
– volume: 11
  start-page: 972
  year: 2010
  ident: ref_40
  article-title: Analysis on fused deposition modelling performance
  publication-title: J. Zhejiang Univ.-Sci. A
  doi: 10.1631/jzus.A1001365
– volume: 15
  start-page: 107
  year: 2000
  ident: ref_26
  article-title: Effect of layer orientation on mechanical properties of rapid prototyped samples
  publication-title: Mater. Manuf. Process.
  doi: 10.1080/10426910008912976
– volume: 6
  start-page: 622
  year: 2006
  ident: ref_37
  article-title: Optimizing flexible behaviour of bow prototype using Taguchi approach
  publication-title: J. Appl. Sci.
  doi: 10.3923/jas.2006.622.630
– volume: 501
  start-page: 012030
  year: 2019
  ident: ref_57
  article-title: Research on Shape and Dimensional Accuracy of FDM Produced Parts
  publication-title: IOP Conf. Ser. Mater. Sci. Eng.
  doi: 10.1088/1757-899X/501/1/012030
– volume: 5
  start-page: 2250
  year: 2014
  ident: ref_69
  article-title: Comparative evaluation of optimization algorithms at training of genetic programming for tensile strength prediction of FDM processed part
  publication-title: Procedia Mater. Sci.
  doi: 10.1016/j.mspro.2014.07.441
– ident: ref_42
– volume: 42
  start-page: 4069
  year: 2004
  ident: ref_106
  article-title: Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207540410001708470
– ident: ref_32
  doi: 10.25071/10315/35337
– volume: 16
  start-page: 154
  year: 2016
  ident: ref_75
  article-title: Failure analysis and anisotropy evaluation of 3D-printed tensile test specimens of different geometries and print raster patterns
  publication-title: J. Fail. Anal. Prev.
  doi: 10.1007/s11668-016-0067-4
– ident: ref_31
– volume: 79
  start-page: 506
  year: 2013
  ident: ref_68
  article-title: Experimental characterization and analytical modelling of the mechanical behaviour of fused deposition processed parts made of ABS-M30
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2013.06.041
– volume: 1
  start-page: 106
  year: 2010
  ident: ref_6
  article-title: An experimental investigation on surface quality and dimensional accuracy of FDM components
  publication-title: Int. J. Emerg. Technol.
– volume: 2
  start-page: 1691
  year: 2015
  ident: ref_7
  article-title: Studies on parametric optimization for fused deposition modelling process
  publication-title: Mater. Today Proc.
  doi: 10.1016/j.matpr.2015.07.097
– ident: ref_85
  doi: 10.3390/ma11081333
– volume: 1
  start-page: 89
  year: 2009
  ident: ref_13
  article-title: Optimization of fused deposition modelling (FDM) process parameters using bacterial foraging technique
  publication-title: Intell. Inf. Manag.
– ident: ref_45
– volume: 69
  start-page: 157
  year: 2018
  ident: ref_18
  article-title: FDM process parameters influence over the mechanical properties of polymer specimens: A review
  publication-title: Polym. Test.
  doi: 10.1016/j.polymertesting.2018.05.020
– volume: 67
  start-page: 1183
  year: 2015
  ident: ref_34
  article-title: Mechanical property optimization of FDM PLA in shear with multiple objectives
  publication-title: JOM
  doi: 10.1007/s11837-015-1367-y
– ident: ref_19
  doi: 10.1007/s10845-018-1420-0
– volume: 16
  start-page: 467
  year: 2016
  ident: ref_76
  article-title: Failure analysis and mechanical characterization of 3D printed ABS with respect to layer thickness and orientation
  publication-title: J. Fail. Anal. Prev.
  doi: 10.1007/s11668-016-0113-2
– volume: 13
  start-page: 92
  year: 2017
  ident: ref_92
  article-title: Effect of varying spatial orientations on build time requirements for FDM process: A case study
  publication-title: Def. Technol.
  doi: 10.1016/j.dt.2016.11.006
– ident: ref_67
  doi: 10.1109/ISBEIA.2011.6088811
– volume: 20
  start-page: 228
  year: 2014
  ident: ref_4
  article-title: Experimental investigation of FDM process for improvement of mechanical properties and production cost
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-10-2012-0091
– ident: ref_28
– ident: ref_49
  doi: 10.3390/jmmp3010006
– volume: 139
  start-page: 081018
  year: 2017
  ident: ref_77
  article-title: Evaluating mechanical properties and failure mechanisms of fused deposition modeling acrylonitrile butadiene styrene parts
  publication-title: J. Manuf. Sci. Eng.
  doi: 10.1115/1.4036713
– volume: 6
  start-page: 1625
  year: 2014
  ident: ref_89
  article-title: Investigation of the effect of built orientation on mechanical properties and total cost of FDM parts
  publication-title: Procedia Mater. Sci.
  doi: 10.1016/j.mspro.2014.07.146
– ident: ref_83
  doi: 10.1109/ICSTC.2018.8528667
– volume: 10
  start-page: 791
  year: 2017
  ident: ref_20
  article-title: Experimental optimization of fused deposition modelling processing parameters: a design-for-manufacturing approach
  publication-title: Procedia Manuf.
  doi: 10.1016/j.promfg.2017.07.079
– volume: 25
  start-page: 2922
  year: 2016
  ident: ref_22
  article-title: Effect of process parameters on dynamic mechanical performance of fdm PC/ABS printed parts through design of experiment
  publication-title: J. Mater. Eng. Perform.
  doi: 10.1007/s11665-016-2157-6
– volume: 73
  start-page: 87
  year: 2014
  ident: ref_35
  article-title: Process parameter optimization for fused deposition modeling using response surface methodology combined with fuzzy inference system
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-014-5796-5
– ident: ref_47
– volume: 44
  start-page: 585
  year: 2004
  ident: ref_59
  article-title: Optimum part deposition orientation in fused deposition modeling
  publication-title: Int. J. Mach. Tools Manuf.
  doi: 10.1016/j.ijmachtools.2003.12.004
– volume: 16
  start-page: 162
  year: 2000
  ident: ref_97
  article-title: Part build orientations based on volumetric error in fused deposition modelling
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s001700050022
– volume: 110–116
  start-page: 2245
  year: 2012
  ident: ref_24
  article-title: Optimization of support material and build time in fused deposition modeling (FDM)
  publication-title: Appl. Mech. Mater.
– volume: 24
  start-page: 80
  year: 2018
  ident: ref_84
  article-title: The effect of process parameters in fused deposition modelling on bonding degree and mechanical properties
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-06-2016-0090
– volume: 20
  start-page: 231
  year: 2013
  ident: ref_96
  article-title: Influence of printing conditions on structure in FDM prototypes
  publication-title: Teh. Vjesn.
– volume: 9
  start-page: 589
  year: 2017
  ident: ref_56
  article-title: Optimization of 3D-printer process parameters for improving quality of polylactic acid printed part
  publication-title: Int. J. Eng. Technol.
  doi: 10.21817/ijet/2017/v9i2/170902044
– volume: 19
  start-page: 62
  year: 2018
  ident: ref_105
  article-title: Optimizing process parameters of fused deposition modeling by Taguchi method for the fabrication of lattice structures
  publication-title: Addit. Manuf.
– ident: ref_44
– volume: 392
  start-page: 062050
  year: 2018
  ident: ref_38
  article-title: Study on optimization of 3D printing parameters
  publication-title: IOP Conf. Ser. Mater. Sci. Eng.
  doi: 10.1088/1757-899X/392/6/062050
– volume: 39
  start-page: 49
  year: 2014
  ident: ref_88
  article-title: Effect of layer thickness, deposition angle, and infill on maximum flexural force in FDM-built specimens
  publication-title: J. Technol. Plast.
– volume: 73
  start-page: 509
  year: 2014
  ident: ref_10
  article-title: Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE)
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-014-5835-2
– volume: 6
  start-page: 19207
  year: 2016
  ident: ref_2
  article-title: Application of FDM three-dimensional printing technology in the digital manufacture of custom edentulous mandible trays
  publication-title: Sci. Rep.
  doi: 10.1038/srep19207
– volume: 209
  start-page: 5593
  year: 2009
  ident: ref_39
  article-title: Representation of surface roughness in fused deposition modeling
  publication-title: J. Mater. Process. Technol.
  doi: 10.1016/j.jmatprotec.2009.05.016
– volume: 31
  start-page: 3
  year: 2014
  ident: ref_103
  article-title: Impact strength of ABS parts manufactured using Fused Deposition Modeling technology
  publication-title: Arch. Mech. Technol. Autom.
– volume: 135
  start-page: 135
  year: 2017
  ident: ref_107
  article-title: Uncertainty quantification in prediction of material properties during additive manufacturing
  publication-title: Scr. Mater.
  doi: 10.1016/j.scriptamat.2016.10.014
– volume: 10
  start-page: 1
  year: 2001
  ident: ref_25
  article-title: Material characterization of fused deposition modeling (FDM) ABS by designed experiments
  publication-title: Soc. Manuf. Eng.
– ident: ref_98
  doi: 10.3390/polym11050760
– volume: 561–565
  start-page: 2389
  year: 2007
  ident: ref_60
  article-title: Improvement of surface roughness on ABS 400 polymer using design of experiments (DOE)
  publication-title: Mater. Sci. Forum
  doi: 10.4028/www.scientific.net/MSF.561-565.2389
– ident: ref_63
  doi: 10.3390/ma11081382
– ident: ref_64
– volume: 125
  start-page: 545
  year: 2003
  ident: ref_101
  article-title: Design of fused-deposition ABS components for stiffness and strength
  publication-title: J. Mech. Des.
  doi: 10.1115/1.1582499
– volume: 89
  start-page: 2387
  year: 2017
  ident: ref_33
  article-title: Mechanical property parametric appraisal of fused deposition modeling parts based on the gray Taguchi method
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-016-9263-3
– volume: 5
  start-page: 308
  year: 2015
  ident: ref_87
  article-title: Study of infill print design on production cost-time of 3D printed ABS parts
  publication-title: Int. J. Rapid Manuf.
  doi: 10.1504/IJRAPIDM.2015.074809
– volume: 2
  start-page: 100
  year: 2011
  ident: ref_9
  article-title: Optimization of process parameters in FDM process using design of experiments
  publication-title: Int. J. Emerg. Technol.
– volume: 31
  start-page: 287
  year: 2010
  ident: ref_12
  article-title: Parametric appraisal of mechanical property of fused deposition modelling processed parts
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2009.06.016
– volume: 13
  start-page: 203
  year: 2018
  ident: ref_104
  article-title: Optimisation of FDM process parameters by Taguchi method for imparting customised properties to components
  publication-title: Virtual Phys. Prototyp.
  doi: 10.1080/17452759.2018.1440722
– volume: 237
  start-page: 02014
  year: 2018
  ident: ref_81
  article-title: Influence of Process Parameters of Printing on Mechanical Properties of Plastic Parts Produced by FDM 3D Printing Technology
  publication-title: MATEC Web Conf.
  doi: 10.1051/matecconf/201823702014
– volume: 103
  start-page: 1893
  year: 2019
  ident: ref_100
  article-title: A numerical and experimental study of the compression uniaxial properties of PLA manufactured with FDM technology based on product specifications
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-019-03626-0
– volume: 3
  start-page: 81
  year: 2012
  ident: ref_8
  article-title: Experimental investigation and empirical modelling of FDM process for compressive strength improvement
  publication-title: J. Adv. Res.
  doi: 10.1016/j.jare.2011.05.001
– volume: 40
  start-page: 10052
  year: 2016
  ident: ref_51
  article-title: Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design
  publication-title: Appl. Math. Model.
  doi: 10.1016/j.apm.2016.06.055
– volume: 748
  start-page: 291
  year: 2013
  ident: ref_30
  article-title: Dynamic response of FDM made ABS parts in different part orientations
  publication-title: Adv. Mater. Res.
  doi: 10.4028/www.scientific.net/AMR.748.291
– volume: 222
  start-page: 959
  year: 2008
  ident: ref_50
  article-title: A parametric study of part distortions in fused deposition modelling using three-dimensional finite element analysis
  publication-title: Proc. Inst. Mech. Eng. Part B J. Eng. Manuf.
  doi: 10.1243/09544054JEM990
– volume: 3
  start-page: 42
  year: 2015
  ident: ref_17
  article-title: Optimization of fused deposition modeling process parameters: A review of current research and future prospects
  publication-title: Adv. Manuf.
  doi: 10.1007/s40436-014-0097-7
– volume: 58
  start-page: 189
  year: 2009
  ident: ref_61
  article-title: Experimental study aiming to enhance the surface finish of fused deposition modeled parts
  publication-title: CIRP Ann.
  doi: 10.1016/j.cirp.2009.03.071
– ident: ref_62
  doi: 10.3390/ma11081322
– volume: 43
  start-page: 327
  year: 2016
  ident: ref_94
  article-title: Fast deviation simulation for ‘fused deposition modeling’process
  publication-title: Procedia CIRP
  doi: 10.1016/j.procir.2016.02.004
– volume: 9
  start-page: 127
  year: 2014
  ident: ref_15
  article-title: Multi-objective optimisation of strength and volumetric shrinkage of FDM parts: a multi-objective optimization scheme is used to optimize the strength and volumetric shrinkage of FDM parts considering different process parameters
  publication-title: Virtual Phys. Prototyp.
  doi: 10.1080/17452759.2014.898851
– volume: 4
  start-page: 196
  year: 2015
  ident: ref_14
  article-title: Dimensional accuracy and surface finish optimization of fused deposition modelling parts using desirability function analysis
  publication-title: Int. J. Eng. Res. Technol
– volume: 69
  start-page: 2301
  year: 2013
  ident: ref_41
  article-title: Dimensional accuracy improvement of FDM square cross-section parts using artificial neural networks and an optimization algorithm
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-013-5196-2
– volume: 22
  start-page: 387
  year: 2016
  ident: ref_74
  article-title: An approach for mechanical property optimization of fused deposition modeling with polylactic acid via design of experiments
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-07-2014-0083
– volume: 4
  start-page: 7956
  year: 2017
  ident: ref_5
  article-title: Experimental characterization of the tensile strength of ABS parts manufactured by fused deposition modeling process
  publication-title: Mater. Today Proc.
  doi: 10.1016/j.matpr.2017.07.132
– volume: 8
  start-page: 110
  year: 2015
  ident: ref_73
  article-title: The effects of PLA color on material properties of 3-D printed components
  publication-title: Addit. Manuf.
– ident: ref_48
  doi: 10.3390/jmmp2010012
– ident: ref_66
– volume: 23
  start-page: 811
  year: 2017
  ident: ref_23
  article-title: Experimental characterization of the mechanical properties of 3D-printed ABS and polycarbonate parts
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-03-2016-0042
– volume: 12
  start-page: 100
  year: 2006
  ident: ref_27
  article-title: Investigation of the mechanical properties and porosity relationships in fused deposition modelling-fabricated porous structures
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/13552540610652447
– volume: 14
  start-page: 72
  year: 2008
  ident: ref_95
  article-title: Effect of processing conditions on the bonding quality of FDM polymer filaments
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/13552540810862028
– ident: ref_3
  doi: 10.1115/IMECE2015-52634
– volume: 13
  start-page: 71
  year: 2017
  ident: ref_21
  article-title: Influence of processing and orientation print effects on the mechanical and thermal behavior of 3D-Printed ULTEM® 9085 Material
  publication-title: Addit. Manuf.
– ident: ref_79
  doi: 10.3390/ma11040466
– volume: 81
  start-page: 174
  year: 2016
  ident: ref_55
  article-title: Optimization of fused deposition modeling process parameters for dimensional accuracy using I-optimality criterion
  publication-title: Measurement
  doi: 10.1016/j.measurement.2015.12.011
– volume: 124
  start-page: 143
  year: 2017
  ident: ref_11
  article-title: Additive manufacturing of PLA structures using fused deposition modelling: Effect of process parameters on mechanical properties and their optimal selection
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2017.03.065
– volume: 8
  start-page: 5834
  year: 2015
  ident: ref_71
  article-title: Influence of layer thickness and raster angle on the mechanical properties of 3D-printed PEEK and a comparative mechanical study between PEEK and ABS
  publication-title: Materials
  doi: 10.3390/ma8095271
– volume: 23
  start-page: 524
  year: 2017
  ident: ref_78
  article-title: Tensile strength of partially filled FFF printed parts: meta modelling
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-10-2015-0151
– volume: 83
  start-page: 670
  year: 2015
  ident: ref_65
  article-title: Mechanical property characterization and simulation of fused deposition modeling Polycarbonate parts
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2015.06.074
– ident: ref_99
  doi: 10.1108/RPJ-02-2018-0044
– ident: ref_82
  doi: 10.3390/ma11020216
– volume: 169
  start-page: 54
  year: 2005
  ident: ref_36
  article-title: Optimization of rapid prototyping parameters for production of flexible ABS object
  publication-title: J. Mater. Process. Technol.
  doi: 10.1016/j.jmatprotec.2005.02.259
– volume: 15
  start-page: 121
  year: 2015
  ident: ref_70
  article-title: Experimental determination of critical orientation of ABS parts manufactured using fused deposition modelling technology
  publication-title: J. Mach. Eng.
– ident: ref_46
– volume: 43
  start-page: 2709
  year: 2005
  ident: ref_52
  article-title: Determination of the optimal part orientation in layered manufacturing using a genetic algorithm
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207540500031857
– volume: 19
  start-page: 587
  year: 2016
  ident: ref_16
  article-title: Optimization of fused deposition modeling process using teaching-learning-based optimization algorithm
  publication-title: Eng. Sci. Technol. Int. J.
– ident: ref_80
  doi: 10.1109/ICKII.2018.8569166
– volume: 58
  start-page: 242
  year: 2014
  ident: ref_102
  article-title: Mechanical properties of components fabricated with open-source 3-D printers under realistic environmental conditions
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2014.02.038
– ident: ref_91
– volume: 118
  start-page: 385
  year: 2001
  ident: ref_58
  article-title: Critical parameters influencing the quality of prototypes in fused deposition modelling
  publication-title: J. Mater. Process. Technol.
  doi: 10.1016/S0924-0136(01)00980-3
– volume: 101
  start-page: 1215
  year: 2019
  ident: ref_1
  article-title: Impact of fused deposition modeling (FDM) process parameters on strength of built parts using Taguchi’s design of experiments
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-018-3014-6
– ident: ref_43
– volume: 13
  start-page: 304
  year: 2007
  ident: ref_53
  article-title: Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/13552540710824814
– volume: 21
  start-page: 270
  year: 2015
  ident: ref_72
  article-title: Tensile and fatigue behavior of layered acrylonitrile butadiene styrene
  publication-title: Rapid Prototyp. J.
  doi: 10.1108/RPJ-09-2013-0086
– volume: 2
  start-page: 2009
  year: 2012
  ident: ref_29
  article-title: Dynamic mechanical properties of ABS material processed by fused deposition modelling
  publication-title: Int. J. Eng. Res. Appl
– volume: 7
  start-page: 25
  year: 2018
  ident: ref_93
  article-title: Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material
  publication-title: Int. J. Rapid Manuf.
  doi: 10.1504/IJRAPIDM.2018.089727
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Snippet Fused deposition modeling (FDM) is an additive manufacturing (AM) process that is often used to fabricate geometrically complex shaped prototypes and parts. It...
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SubjectTerms 3-D printers
Accuracy
Commercialization
Cycle time
Fused deposition modeling
Industrial applications
Mechanical properties
Optimization
Parameter identification
part characteristics
Process parameters
Product development
Rapid prototyping
State-of-the-art reviews
Surface properties
Thickness
Three dimensional printing
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Title A Systematic Survey of FDM Process Parameter Optimization and Their Influence on Part Characteristics
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