Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

You might also read

Related Articles

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

Sort by

Same author

Polymer-Based Biomaterials for Local Therapy in Cervical Cancer: A Mini-Review.

Polymers·2026

Same author

Analyzing the geometric dependence of thermoelastic Q-factor in micro hemispherical resonators via a data-augmented CNN-transformer model.

Microsystems & nanoengineering·2026

Same author

Selenium-activated monolithic FeNi layered double hydroxide electrodes: binder-free, self-supported architectures for durable alkaline oxygen evolution.

RSC advances·2026

Same author

Comparative Efficacy of Buprenorphine Transdermal Patch Versus Tramadol in Postoperative Analgesia for Shoulder Arthroscopy: a Prospective, Randomized Controlled Trial.

La Clinica terapeutica·2026

Same author

Enhancing Anchor Location Estimation Algorithm via Multi-Source Observations and Adaptive Optimization for UVIO.

Sensors (Basel, Switzerland)·2026

Same author

Enhancing Timing and Referral Pathways for Laparoscopic Cholecystectomy: A Two-Cycle Audit.

Cureus·2025

Same journal

Laser Sintering of Polyamide 12 Nanocomposites: Combined Effects of Plasma Treatment and Laser Energy.

3D printing and additive manufacturing·2026

Same journal

The State of the Art in Defect Monitoring Technologies for Selective Laser Melting Processes.

3D printing and additive manufacturing·2026

Same journal

Preparation of Biomimetic Shells from Biomass Based on Selective Laser Sintering Technology.

3D printing and additive manufacturing·2026

Same journal

Experimental and Numerical Analysis of Titanium 3D Body-Centered Cubic Lattice Structure Additively Manufactured Using Selective Laser Melting.

3D printing and additive manufacturing·2026

Same journal

3D Printing Applications and Extended Realities in Medicine: Systematic Review.

3D printing and additive manufacturing·2026

Same journal

Advancing Precision Surgery: The Role of 3D Printing in Liver Surgery.

3D printing and additive manufacturing·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Planar and Three-Dimensional Printing of Conductive Inks

Planar and Three-Dimensional Printing of Conductive Inks

Published on: December 9, 2011

Optimizing Process Parameters of Direct Ink Writing for Dimensional Accuracy of Printed Layers.

Yongqiang Tu^1,2, Javier A Arrieta-Escobar³, Alaa Hassan³

¹School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.

3D Printing and Additive Manufacturing

|August 23, 2023

Summary

This summary is machine-generated.

This study optimizes direct ink writing (DIW) parameters for 3D printing accuracy. A two-step method enhances dimensional control of printed layers, improving overall part quality and reliability.

Keywords:

Taguchi method dimensional accuracy direct ink writing extrusion-based 3D printing process parameters optimization

More Related Videos

High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning

High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning

Published on: July 10, 2018

Elaborate Control of Inkjet Printer for Fabrication of Chip-based Supercapacitors

Elaborate Control of Inkjet Printer for Fabrication of Chip-based Supercapacitors

Published on: November 30, 2021

Related Experiment Videos

Last Updated: Jun 26, 2026

Planar and Three-Dimensional Printing of Conductive Inks

Planar and Three-Dimensional Printing of Conductive Inks

Published on: December 9, 2011

High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning

High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning

Published on: July 10, 2018

Elaborate Control of Inkjet Printer for Fabrication of Chip-based Supercapacitors

Elaborate Control of Inkjet Printer for Fabrication of Chip-based Supercapacitors

Published on: November 30, 2021

Area of Science:

Materials Science
Manufacturing Engineering
Additive Manufacturing

Background:

Direct ink writing (DIW) is an extrusion-based 3D printing technique.
Achieving high dimensional accuracy in DIW parts requires optimized process parameters.
Quality control in DIW necessitates precise optimization of printed layers.

Purpose of the Study:

To propose and validate a two-step method for optimizing DIW process parameters.
To enhance the dimensional accuracy and quality of 3D printed parts using DIW.
To ensure the reliability and robustness of the proposed optimization method.

Main Methods:

DIW process parameters were categorized into line printing and layer formation parameters.
A two-step optimization approach was employed, utilizing Taguchi methods and single-factor tests.
Screening experiments, interaction effect tests, and analysis of variance were conducted.

Main Results:

Optimal process parameters for printing individual lines were identified using the Taguchi method.
Parameters for transitioning from lines to layers were optimized through single-factor tests.
The proposed method demonstrated reliability and robustness across different shapes, materials, and infill densities.

Conclusions:

The developed two-step method effectively optimizes DIW parameters for improved dimensional accuracy.
The optimization strategy enhances the quality control of 3D printed parts.
The method is adaptable for various printing applications, including complex constructs.