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Cited by 504

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Inkjet printing of conductive materials: a review

Cummins, Gerard, Desmulliez, Marc P.Y.·2012·Circuit World

Abstract

Purpose: The purpose of this paper is to present an exhaustive review of research studies and activities in the inkjet printing of conductive materials. Design/methodology/approach: This paper gives a detailed literature survey of research carried out in inkjet printing of conductive materials. Findings: This article explains the inkjet printing process and the various types of conductive inks. It then examines the various factors that affect the quality of inkjet printed interconnects such as printing parameters, materials and substrate treatments. Methods of characterising both the inkjet printing process and the electrical properties of printed conductive materials are also presented. Finally relevant applications of this technology are described. Originality/value: Inkjet printing is currently one of the cheapest direct write techniques for manufacturing. The use of this technique in electronic manufacturing, where interconnects and other conductive features are required is an area of increasing relevance to the fields of electronics manufacturing, packaging and assembly. This review paper would therefore be of great value and interest to this community.

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Metadata

Authors
Cummins, G., & Desmulliez, M. P. Y.
Venue
Circuit World
Publisher
Emerald
Published
2012-11-16
Volume
38
Issue
4
Pages
193-213
ISSN
0305-6120 (ISSN-L)
OpenAlex
W1998446758
Cited by
504
References
0
FWCI
6.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inkjet printing of conductive materials: a review. https://app.cochat.ai/papers/10.1108/03056121211280413
The paper
Cummins, G., & Desmulliez, M. P. Y. (2012). Inkjet printing of conductive materials: a review. Circuit World. https://doi.org/10.1108/03056121211280413

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.