Model decomposition method for minimizing the consumption of support structure for FFF DOI
Wei Wei, Haixin Wu,

Jiangzhao Zhang

et al.

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 133, P. 395 - 407

Published: Nov. 29, 2024

Language: Английский

Topology and fiber path optimization of composite structures: A critical review DOI Creative Commons

Shuya NOZAWA,

Gokhan Serhat

Materials & Design, Journal Year: 2025, Volume and Issue: unknown, P. 113699 - 113699

Published: Feb. 1, 2025

Language: Английский

Citations

2

Calibration and compensation of 5-Axis 3D-Printers for printed electronics DOI Creative Commons
Daniel Ahlers, Tom Schmolzi,

German Junca

et al.

Additive Manufacturing Letters, Journal Year: 2025, Volume and Issue: unknown, P. 100265 - 100265

Published: Jan. 1, 2025

Language: Английский

Citations

0

Quality Evaluation of Small Features Fabricated by Fused Filament Fabrication Method DOI Open Access
Dawid Zieliński, Mariusz Deja, Rui Zhu

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(3), P. 507 - 507

Published: Jan. 23, 2025

The purpose of this research was to evaluate the quality small features fabricated by fused filament fabrication (FFF) method. samples containing circular and square cross-sections through holes with different dimensions, lengths, orientation angles were printed from ABS (acrylonitrile butadiene styrene) filament. adopted optical inspection method allowed us conduct observations individual their measurements. image processing software used determine accuracy dimensions shape cross-sections. Feret’s diameters for evaluation comparing them theoretical assumed in a 3D CAD model. Considering relationship between real features, general empirical equations predicting equivalent developed. proposed can be easily implemented widely applied other especially internal made using various additive manufacturing methods.

Language: Английский

Citations

0

A Preliminary Study on Computer Aided Process Planning for Generating Additive Manufacturing Products via 3D/4D/5D Printing DOI Creative Commons

Izzah Nadhilah Ilias,

Mohd Salman Abu Mansor

Published: Feb. 7, 2025

This paper presents an integrated CAD/CAM system that can be used for Computer Aided Process Planning to interact or automate 3D/4D/5D printing process towards Industry 5.0. By creating a new algorithm, macro is developed has the capability determine any suitable type of whether 3D, 4D 5D generating Additive Manufacturing products. The methodology this study focused starting from designing 3D CAD models products until planning by creation macro. algorithm tested simulations extended up printing.

Language: Английский

Citations

0

Force-Based Adaptive Deposition in Multi-Axis Additive Manufacturing: Low Porosity for Enhanced Strength DOI
Yuming Huang, Renbo Su, Kun Qian

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

A salient vector field-driven part orientation selection for multi-axis 3D printing DOI Creative Commons
Don Pubudu Vishwana Joseph Jayakody,

Tak Yu Lau,

Hyunyoung Kim

et al.

Computer-Aided Design, Journal Year: 2025, Volume and Issue: unknown, P. 103877 - 103877

Published: March 1, 2025

Language: Английский

Citations

0

Recent progress in non-planar 3D printing of continuous fiber-reinforced composites DOI
Ping Cheng,

Zhi Rui Han,

Yuan Chen

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 108900 - 108900

Published: March 1, 2025

Language: Английский

Citations

0

Exploring the evolution of 5D and 6D Printing: Current Progress, Challenges, Technological Innovations, and Transformative Biomedical Applications DOI Creative Commons
Shrikant Dargude, Snehal Shinde,

Swati Jagdale

et al.

Hybrid Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100470 - 100470

Published: April 1, 2025

Language: Английский

Citations

0

Model decomposition method for minimizing the consumption of support structure for FFF DOI
Wei Wei, Haixin Wu,

Jiangzhao Zhang

et al.

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 133, P. 395 - 407

Published: Nov. 29, 2024

Language: Английский

Citations

0