Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing

Na Lin; Shikai Jing; Hanning Chen; Wenxin Liu

doi:10.1051/matecconf/201710003034

Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing

Na Lin, Shikai Jing, Hanning Chen, Wenxin Liu

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

In practical applications of 3D electronic printing, a major challenge is to adjust the printhead for a high print resolution and accuracy. However, an exhausting manual selective process inevitably wastes a lot of time. Therefore, in this paper, we proposed a new intelligent adjustment method, which adopts artificial bee colony algorithm to optimize the printhead driving waveform parameters for getting the desired printhead state. Experimental results show that this method can quickly and accuracy find out the suitable combination of driving waveform parameters to meet the needs of applications.

Original language	English
Article number	10003034
Journal	MATEC Web of Conferences
Volume	100
DOIs	https://doi.org/10.1051/matecconf/201710003034
Publication status	Published - 8 Mar 2017
Event	13th Global Congress on Manufacturing and Management, GCMM 2016 - Zhengzhou, China Duration: 28 Nov 2016 → 30 Nov 2016

Keywords

3D electronic printing
Artificial bee colony algorithm
Intelligent adjustment

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10.1051/matecconf/201710003034

Cite this

Lin, N., Jing, S., Chen, H., & Liu, W. (2017). Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing. MATEC Web of Conferences, 100, Article 10003034. https://doi.org/10.1051/matecconf/201710003034

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title = "Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing",

abstract = "In practical applications of 3D electronic printing, a major challenge is to adjust the printhead for a high print resolution and accuracy. However, an exhausting manual selective process inevitably wastes a lot of time. Therefore, in this paper, we proposed a new intelligent adjustment method, which adopts artificial bee colony algorithm to optimize the printhead driving waveform parameters for getting the desired printhead state. Experimental results show that this method can quickly and accuracy find out the suitable combination of driving waveform parameters to meet the needs of applications.",

keywords = "3D electronic printing, Artificial bee colony algorithm, Intelligent adjustment",

author = "Na Lin and Shikai Jing and Hanning Chen and Wenxin Liu",

note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences.; 13th Global Congress on Manufacturing and Management, GCMM 2016 ; Conference date: 28-11-2016 Through 30-11-2016",

year = "2017",

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doi = "10.1051/matecconf/201710003034",

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TY - JOUR

T1 - Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing

AU - Lin, Na

AU - Jing, Shikai

AU - Chen, Hanning

AU - Liu, Wenxin

N1 - Publisher Copyright: © The Authors, published by EDP Sciences.

PY - 2017/3/8

Y1 - 2017/3/8

N2 - In practical applications of 3D electronic printing, a major challenge is to adjust the printhead for a high print resolution and accuracy. However, an exhausting manual selective process inevitably wastes a lot of time. Therefore, in this paper, we proposed a new intelligent adjustment method, which adopts artificial bee colony algorithm to optimize the printhead driving waveform parameters for getting the desired printhead state. Experimental results show that this method can quickly and accuracy find out the suitable combination of driving waveform parameters to meet the needs of applications.

AB - In practical applications of 3D electronic printing, a major challenge is to adjust the printhead for a high print resolution and accuracy. However, an exhausting manual selective process inevitably wastes a lot of time. Therefore, in this paper, we proposed a new intelligent adjustment method, which adopts artificial bee colony algorithm to optimize the printhead driving waveform parameters for getting the desired printhead state. Experimental results show that this method can quickly and accuracy find out the suitable combination of driving waveform parameters to meet the needs of applications.

KW - 3D electronic printing

KW - Artificial bee colony algorithm

KW - Intelligent adjustment

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U2 - 10.1051/matecconf/201710003034

DO - 10.1051/matecconf/201710003034

M3 - Conference article

AN - SCOPUS:85018578913

SN - 2261-236X

VL - 100

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 10003034

T2 - 13th Global Congress on Manufacturing and Management, GCMM 2016

Y2 - 28 November 2016 through 30 November 2016

ER -

Intelligent adjustment of printhead driving waveform parameters for 3D electronic printing

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