Ateş, Gökhan

Profile URL
https://hdl.handle.net/20.500.12573/2748
Name Variants
GÖKHAN ATEŞ Ates, Gokhan
Job Title
Öğr. Gör.
Email Address
gokhan.ates@agu.edu.tr
Main Affiliation
02.06. Makine Mühendisliği
02. Mühendislik Fakültesi
01. Abdullah Gül University
Status
Current Staff
Website
ORCID ID
0000-0001-7020-8171
Scopus Author ID
57217835678
Turkish CoHE Profile ID
AC639E435A14A7F4
Google Scholar ID
WoS Researcher ID
No research topics data found.

Sustainable Development Goals

SDG data is not available
Documents

4

Citations

121

h-index

3

Go to Scopus profile
This researcher does not have a WoS ID.
No records found in other affiliations.
Scholarly Output

2

Articles

2

Views / Downloads

0/2

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

15

Scopus Citation Count

30

Patents

0

Projects

0

WoS Citations per Publication

7.50

Scopus Citations per Publication

15.00

Open Access Source

2

Supervised Theses

0

JournalCount
International Journal of Bioprinting2
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

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Author of Publication: search.filters.isAuthorOfPublication.ef0321b5-45cc-4f34-985b-0982a6f3a05c

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - Scopus: 15
    Computational Fluid Dynamics for the Optimization of Internal Bioprinting Parameters and Mixing Conditions
    (AccScience Publishing, 2023-06-22) Bartolo, Paulo; Ates, Gokhan
  • Article
    Citation - WoS: 15
    Citation - Scopus: 15
    Computational Fluid Dynamics for the Optimization of Internal Bioprinting Parameters and Mixing Conditions
    (Accscience Publishing, 2023-06-22) Ates, Gokhan; Bartolo, Paulo
    Tissue engineering requires the fabrication of three- dimensional (3D) multimaterial structures in complex geometries mimicking the hierarchical structure of biological tissues. To increase the mechanical and biological integrity of the tissue engineered structures, continuous printing of multiple materials through a printing head consisting of a single nozzle is crucial. In this work, numerical analysis was carried out to investigate the extrusion process of two different shear-thinning biomaterial solutions (alginate and gelatin) inside a novel single-nozzle dispensing system consisting of cartridges and a static mixer for varying input pressures, needle geometries, and outlet diameters. Systematic analysis of the dispensing process was conducted to describe the flow rate, velocity field, pressure drop, and shear stress distribution throughout the printing head. The spatial distribution of the biopolymer solutions along the mixing chamber was quantitatively analyzed and the simulation results were validated by comparing the pressure drop values with empirical correlations. The simulation results showed that the proposed dispensing system enables to fabricate homogenous material distribution across the nozzle outlet. The predicted shear stress along the proposed printing head model is lower than the critical shear values which correspond to negligible cell damage, suggesting that the proposed dispensing system can be used to print cell-laden tissue engineering constructs.