A review on composite materials and process parameters optimisation for the fused deposition modelling process

Virtual and Physical Prototyping ◽

10.1080/17452759.2016.1274490 ◽

2017 ◽

Vol 12 (1) ◽

pp. 47-59 ◽

Author(s):

N. Mohan ◽

P. Senthil ◽

S. Vinodh ◽

N. Jayanth

Keyword(s):

Composite Materials ◽

Process Parameters ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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Influence of fused deposition modelling process parameters on wear strength of carbon fibre PLA

Materials Today Proceedings ◽

10.1016/j.matpr.2020.03.738 ◽

2020 ◽

Vol 27 ◽

pp. 1794-1800

Author(s):

R. Srinivasan ◽

N. Aravindkumar ◽

S. Aravind Krishna ◽

S. Aadhishwaran ◽

John George

Keyword(s):

Carbon Fibre ◽

Process Parameters ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material

International Journal of Rapid Manufacturing ◽

10.1504/ijrapidm.2018.10010811 ◽

2018 ◽

Vol 7 (1) ◽

pp. 25

Author(s):

T.K. Kundra ◽

Sachin Maheshwari ◽

Manu Srivastava ◽

Sandeep Rathee

Keyword(s):

Fuzzy Logic ◽

Process Parameters ◽

Fused Deposition Modelling ◽

Support Material ◽

Multi Objective ◽

Fused Deposition ◽

Modelling Process

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A grey‐based Taguchi method to optimize fused deposition modelling process parameters for manufacture of a hip joint implant

Materialwissenschaft und Werkstofftechnik ◽

10.1002/mawe.202100129 ◽

2022 ◽

Vol 53 (1) ◽

pp. 89-108

Author(s):

G. Nyiranzeyimana ◽

J.M. Mutua ◽

B.R. Mose ◽

T.O. Mbuya

Keyword(s):

Taguchi Method ◽

Process Parameters ◽

Hip Joint ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Joint Implant ◽

Modelling Process

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Optimizing Fused Deposition Modelling Process Parameters Using Metaheuristic Machine Learning Algorithms

10.1007/978-3-030-86223-7_9 ◽

2021 ◽

pp. 83-92

Author(s):

Jatin Deep Kharbanda ◽

Yakshrat Nanda ◽

Gireesh Dangayach ◽

D. A. P. Prabhakar

Keyword(s):

Machine Learning ◽

Process Parameters ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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Studying the effect of chemical treatment and fused deposition modelling process parameters on surface roughness to make acrylonitrile butadiene styrene patterns for investment casting process

International Journal of Rapid Manufacturing ◽

10.1504/ijrapidm.2015.074807 ◽

2015 ◽

Vol 5 (3/4) ◽

pp. 276 ◽

Author(s):

Vivek Tiwary ◽

P. Arunkumar ◽

Anand S. Deshpande ◽

Vaidyanath Khorate

Keyword(s):

Surface Roughness ◽

Process Parameters ◽

Chemical Treatment ◽

Acrylonitrile Butadiene Styrene ◽

Casting Process ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Investment Casting Process ◽

Modelling Process ◽

Butadiene Styrene

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Optimization of Fused Deposition Modelling process parameters using Teaching Learning Based Optimization (TLBO) algorithm

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1149/1/012014 ◽

2021 ◽

Vol 1149 (1) ◽

pp. 012014

Author(s):

Nadeem Alam ◽

Mahfuj Alam ◽

Shafi Ahmad

Keyword(s):

Process Parameters ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Tlbo Algorithm ◽

Teaching Learning Based Optimization ◽

Teaching Learning ◽

Modelling Process

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Fused deposition modelling process parameters influence on the mechanical properties of ABS: A review

Materials Today Proceedings ◽

10.1016/j.matpr.2020.10.202 ◽

2020 ◽

Author(s):

Imtiyaz Khan ◽

Neeraj Kumar

Keyword(s):

Mechanical Properties ◽

Process Parameters ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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Characteristics of Process Parameters in Fused Deposition Modelling Process

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/851/1/012059 ◽

2020 ◽

Vol 851 ◽

pp. 012059

Author(s):

Ikhsan Siregar ◽

J.B. Saedon ◽

Mohd Shahriman Adenan ◽

Mohammad Firdaus Mohammed Azmi

Keyword(s):

Process Parameters ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material

International Journal of Rapid Manufacturing ◽

10.1504/ijrapidm.2018.089727 ◽

2018 ◽

Vol 7 (1) ◽

pp. 25 ◽

Author(s):

Manu Srivastava ◽

Sandeep Rathee ◽

Sachin Maheshwari ◽

T.K. Kundra

Keyword(s):

Fuzzy Logic ◽

Process Parameters ◽

Fused Deposition Modelling ◽

Support Material ◽

Multi Objective ◽

Fused Deposition ◽

Modelling Process

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Studies on Effect of Fused Deposition Modelling Process Parameters on Ultimate Tensile Strength and Dimensional Accuracy of Nylon

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/149/1/012035 ◽

2016 ◽

Vol 149 ◽

pp. 012035 ◽

Author(s):

C K Basavaraj ◽

M Vishwas

Keyword(s):

Tensile Strength ◽

Ultimate Tensile Strength ◽

Process Parameters ◽

Dimensional Accuracy ◽

Fused Deposition Modelling ◽

Fused Deposition ◽

Modelling Process

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