Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Response Surface Methodology01:16

Response Surface Methodology

230
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
230

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Review of conventional and emerging recycling methods for carbon fiber-reinforced thermoset polymer composites: challenges and future perspectives.

RSC advances·2026
Same author

Numerical-Experimental Analysis toward the Strain Rate Sensitivity of 3D-Printed Nylon Reinforced by Short Carbon Fiber.

Materials (Basel, Switzerland)·2022
Same author

Effects of Power and Laser Speed on the Mechanical Properties of AlSi7Mg0.6 Manufactured by Laser Powder Bed Fusion.

Materials (Basel, Switzerland)·2022
Same author

Effects of Laser Power and Hatch Orientation on Final Properties of PA12 Parts Produced by Selective Laser Sintering.

Polymers·2022
Same author

Synthesis Characterization and Highly Protective Efficiency of Tetraglycidyloxy Pentanal Epoxy Prepolymer as a Potential Corrosion Inhibitor for Mild Steel in 1 M HCl Medium.

Polymers·2022
Same author

3D Printed and Conventional Membranes-A Review.

Polymers·2022

Related Experiment Video

Updated: Aug 23, 2025

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
06:00

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development

Published on: March 17, 2023

538

Roadmap: Numerical-Experimental Investigation and Optimization of 3D-Printed Parts Using Response Surface

Hamid Reza Vanaei1,2, Sofiane Khelladi2, Abbas Tcharkhtchi3

  • 1Léonard de Vinci Pôle Universitaire, Research Center, 92916 Paris La Défense, France.

Materials (Basel, Switzerland)
|October 27, 2022
PubMed
Summary

Optimizing fused filament fabrication (FFF) involves understanding process variables. Response surface methodology identified key parameters for enhancing material properties and layer adhesion in additive manufacturing.

Keywords:
FFFRSMinter-layer bondingmechanical strengthtemperature evolution

More Related Videos

Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer
08:01

Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer

Published on: March 2, 2020

10.1K
Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
12:34

Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

Published on: June 24, 2016

10.2K

Related Experiment Videos

Last Updated: Aug 23, 2025

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
06:00

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development

Published on: March 17, 2023

538
Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer
08:01

Design of an Open-Source, Low-Cost Bioink and Food Melt Extrusion 3D Printer

Published on: March 2, 2020

10.1K
Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence
12:34

Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence

Published on: June 24, 2016

10.2K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Additive Manufacturing

Background:

  • Fused Filament Fabrication (FFF) is a key additive manufacturing technology.
  • Process optimization is crucial for improving FFF output quality.
  • Understanding material behavior under process conditions is essential.

Purpose of the Study:

  • To propose a numerical-experimental roadmap for optimizing the FFF process.
  • To investigate the influence of key process variables on material characteristics.
  • To enhance the physico-chemical and mechanical properties of FFF parts.

Main Methods:

  • Utilized Response Surface Methodology (RSM) to analyze process variables.
  • Investigated the effects of liquefier temperature, platform temperature, and print speed.
  • Developed a numerical-experimental approach integrating thermal behavior and material properties.

Main Results:

  • RSM identified an optimal domain for high crystallinity, Young's modulus, tensile strength, and elongation at break.
  • Parameter interactions significantly influence rheological characteristics and filament temperature profiles during deposition.
  • Achieved favorable adhesion between deposited layers in the FFF process.

Conclusions:

  • The study provides a roadmap for optimizing FFF processes through integrated numerical and experimental methods.
  • Findings highlight the critical role of process parameter interactions in determining material performance.
  • The research contributes to solving industrial challenges in additive manufacturing by improving FFF part quality and reliability.