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

Methods of Medium Optimization01:28

Methods of Medium Optimization

70
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...
70

You might also read

Related Articles

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

Sort by
Same author

Theoretical Analysis and Numerical Simulation of Ejection Demolding Process Parameters for Large Cylindrical Helical Gears After Die Forging.

Materials (Basel, Switzerland)·2026
Same author

Improvement of Water-Cooling Performance for Combustion Chamber Through Optimization of Flow Channel Structure.

Materials (Basel, Switzerland)·2026
Same author

Microstructure Evolution and Constitutive Model of Spray-Formed 7055 Forging Aluminum Alloy.

Materials (Basel, Switzerland)·2025
Same author

A New Constitutive Model Based on Taylor Series and Partial Derivatives for Predicting High-Temperature Flow Behavior of a Nickel-Based Superalloy.

Materials (Basel, Switzerland)·2024
Same author

Achievement of a Parameter Window for the Selective Laser Melting Formation of a GH3625 Alloy.

Materials (Basel, Switzerland)·2024
Same author

Separative and Comprehensive Effects of Grain Coarsening and Grain Refinement of Ni-38Cr-3.8Al Alloy during Thermal Deformation Process.

Materials (Basel, Switzerland)·2024

Related Experiment Video

Updated: May 5, 2026

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material
07:42

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material

Published on: December 20, 2024

955

Optimization of Parameters of Block-Shaped Support Tooth Structure Using Orthogonal Experimental Design in Laser

Zhongli Li1, Guosheng Fei1, Daijian Wu1,2

  • 1Sichuan Provincial Engineering Research Center of Advanced Manufacturing Technology of Ramjet Engines, Sichuan Polytechnic University, Deyang 618000, China.

Materials (Basel, Switzerland)
|May 4, 2026
PubMed
Summary

Optimizing block support parameters in laser powder bed fusion (LPBF) significantly improves the accuracy and reduces deformation of overhanging structures. This research identifies key settings for high-quality part formation with easier support removal.

Keywords:
L-PBFTaguchi experimental designadditive manufacturingparameter optimizationsupport structure

More Related Videos

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

9.1K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

1.1K

Related Experiment Videos

Last Updated: May 5, 2026

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material
07:42

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material

Published on: December 20, 2024

955
A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
10:50

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

9.1K
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

1.1K

Area of Science:

  • Materials Science
  • Additive Manufacturing
  • Mechanical Engineering

Background:

  • Laser powder bed fusion (LPBF) faces challenges with overhanging structures, including warping, powder adhesion, and poor accuracy.
  • Inconel 625 alloy is used to investigate support-part interface optimization for improved part quality.

Purpose of the Study:

  • Optimize block support parameters for Inconel 625 alloy in LPBF to enhance forming accuracy and support removability.
  • Minimize support structures while achieving high-quality overhanging part formation.

Main Methods:

  • Employed Taguchi experimental design to systematically analyze key block support parameters: tooth height, tooth top length, tooth base length, and tooth base spacing.
  • Evaluated forming accuracy and support removability as optimization targets for overhanging structures.

Main Results:

  • Tooth top length critically impacts forming accuracy and support removal difficulty; longer lengths reduce deformation but increase removal challenges.
  • Optimal parameters identified: tooth height 0.4 mm, tooth top length 0.7 mm, tooth base length 1.0 mm, tooth base spacing 0.3 mm.
  • Validation confirmed good forming accuracy (-0.208 mm deformation) with the optimized configuration.

Conclusions:

  • The study provides a theoretical basis and practical guidance for designing optimal block supports in LPBF for overhanging structures.
  • The identified parameter set effectively balances forming quality and support removability, enhancing LPBF process reliability.