Enhanced droplet volume of material jetting based on bipolar waveform optimization

Fiercer requirements are put forward for the droplet jetting efficiency with the increasing application demand of piezoelectric inkjet technique in additive manufacturing . However, the progress of existing studies on promoting droplet jetting efficiency is restricted by their difficulty in achieving large scale droplet volume increase, with the maximum droplet volume limited to about 8 times the native droplet volume. Herein, a new droplet volume enhancing method was proposed based on bipolar waveform optimization, in which a bottom-up modular optimization method was applied according to the superposition characteristics of flow field oscillation inside the piezoelectric printhead system. More importantly, this method focused on the multi-droplet merging characteristics driven by multi-pulse waveforms, with the aim of realizing significant increase in droplet volume. The experimental results have shown that the newly designed waveform achieves stable droplets with the maximum-to-native volume ratio above 50, i.e., nearly six times above current levels. Hence, this work contributes a new perspective to droplet jetting efficiency.

Authors

Institutions

Publication Details

Journal
Journal of Manufacturing Processes
Published
2025-03-08
DOI
https://doi.org/10.1016/j.jmapro.2025.03.032
Citations
2
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
2.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced droplet volume of material jetting based on bipolar waveform optimization

Hongmiao Tian, Hongzhi Guo, Chao Yan, Jinyou Shao et al.
2 citations
Journal of Manufacturing Processes
Fluid Dynamics and Heat Transfer
2.67
article

Enhanced droplet volume of material jetting based on bipolar waveform optimization

Hongmiao Tian, Hongzhi Guo, Chao Yan, Jinyou Shao, Chunhui Wang, Xiangming Li, Xiaopei Wang, Xiaoliang Chen
article en
2 citations

Abstract

Fiercer requirements are put forward for the droplet jetting efficiency with the increasing application demand of piezoelectric inkjet technique in additive manufacturing . However, the progress of existing studies on promoting droplet jetting efficiency is restricted by their difficulty in achieving large scale droplet volume increase, with the maximum droplet volume limited to about 8 times the native droplet volume. Herein, a new droplet volume enhancing method was proposed based on bipolar waveform optimization, in which a bottom-up modular optimization method was applied according to the superposition characteristics of flow field oscillation inside the piezoelectric printhead system. More importantly, this method focused on the multi-droplet merging characteristics driven by multi-pulse waveforms, with the aim of realizing significant increase in droplet volume. The experimental results have shown that the newly designed waveform achieves stable droplets with the maximum-to-native volume ratio above 50, i.e., nearly six times above current levels. Hence, this work contributes a new perspective to droplet jetting efficiency.

Journal of Manufacturing ProcessesVol. 141
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Key Research and Development Projects of Shaanxi Province
Openalex Percentile: Top 14%
Fluid Dynamics and Heat Transfer
2.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.