PMID- 37631476
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230828
IS  - 2073-4360 (Electronic)
IS  - 2073-4360 (Linking)
VI  - 15
IP  - 16
DP  - 2023 Aug 16
TI  - Optimization of 3D Printing Parameters for Enhanced Surface Quality and Wear 
      Resistance.
LID - 10.3390/polym15163419 [doi]
LID - 3419
AB  - In recent years, there has been a growing interest in the field of 3D printing 
      technology. Among the various technologies available, fused deposition modeling 
      (FDM) has emerged as the most popular and widely used method. However, achieving 
      optimal results with FDM presents a significant challenge due to the selection of 
      appropriate process parameters. Therefore, the objective of this research was to 
      investigate the impact of process parameters on the tribological and frictional 
      behavior of acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA) 
      3D-printed parts. The design of experiments (DOE) technique was used considering 
      the input design parameters (infill percentage and layer thickness) as variables. 
      The friction coefficient values and the wear were determined by experimental 
      testing of the polymers on a universal tribometer employing plane friction 
      coupling. Multi-response optimization methodology and analysis of variance 
      (ANOVA) were used to highlight the dependency between the coefficient of 
      friction, surface roughness parameters, and wear on the process parameters. The 
      optimization analysis revealed that the optimal 3D printing input parameters for 
      achieving the minimum coefficient of friction and linear wear were found to be an 
      infill percentage of 50% and layer thickness of 0.1 mm (for ABS material), and an 
      infill percentage of 50%, layer thickness of 0.15 mm (for PLA material). The 
      suggested optimization methodology (which involves minimizing the coefficient of 
      friction and cumulative linear wear) through the optimized parameter obtained 
      provides the opportunity to select the most favorable design conditions 
      contributing to a more sustainable approach to manufacturing by reducing overall 
      material consumption.
FAU - Portoaca, Alexandra Ileana
AU  - Portoaca AI
AUID- ORCID: 0000-0003-1986-8419
AD  - Mechanical Engineering Department, Petroleum-Gas University of Ploiesti, 100680 
      Ploiesti, Romania.
FAU - Ripeanu, Razvan George
AU  - Ripeanu RG
AUID- ORCID: 0000-0001-8255-8144
AD  - Mechanical Engineering Department, Petroleum-Gas University of Ploiesti, 100680 
      Ploiesti, Romania.
FAU - Dinita, Alin
AU  - Dinita A
AUID- ORCID: 0000-0002-9242-9431
AD  - Mechanical Engineering Department, Petroleum-Gas University of Ploiesti, 100680 
      Ploiesti, Romania.
FAU - Tanase, Maria
AU  - Tanase M
AUID- ORCID: 0000-0002-5563-6554
AD  - Mechanical Engineering Department, Petroleum-Gas University of Ploiesti, 100680 
      Ploiesti, Romania.
LA  - eng
PT  - Journal Article
DEP - 20230816
PL  - Switzerland
TA  - Polymers (Basel)
JT  - Polymers
JID - 101545357
PMC - PMC10459717
OTO - NOTNLM
OT  - 3D printing
OT  - ABS
OT  - PLA
OT  - design of experiments
OT  - friction coefficient
OT  - infill percentage
OT  - layer thickness
OT  - parametric optimization
OT  - roughness
OT  - wear
COIS- The authors declare no conflict of interest.
EDAT- 2023/08/26 10:47
MHDA- 2023/08/26 10:48
PMCR- 2023/08/16
CRDT- 2023/08/26 01:31
PHST- 2023/07/03 00:00 [received]
PHST- 2023/08/09 00:00 [revised]
PHST- 2023/08/14 00:00 [accepted]
PHST- 2023/08/26 10:48 [medline]
PHST- 2023/08/26 10:47 [pubmed]
PHST- 2023/08/26 01:31 [entrez]
PHST- 2023/08/16 00:00 [pmc-release]
AID - polym15163419 [pii]
AID - polymers-15-03419 [pii]
AID - 10.3390/polym15163419 [doi]
PST - epublish
SO  - Polymers (Basel). 2023 Aug 16;15(16):3419. doi: 10.3390/polym15163419.