scholarly journals Enhancing Droplet Quality of Edible Ink in Single and Multi-Drop Methods by Optimization the Waveform Design of DoD Inkjet Printer

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 91
Author(s):  
Oke Oktavianty ◽  
Shigeyuki Haruyama ◽  
Yoshie Ishii
Keyword(s):  
Waveform Design ◽  
Optimum Range ◽  
Print Head ◽  
On Demand ◽  
Drop On Demand ◽  
Grey Scale ◽  
Lower Viscosity ◽  
Inkjet Printer ◽  
Ejection Method

The multi-drop method with a good droplet quality is a big challenge in inkjet technology. In this study, optimization of Drop on Demand (DoD) inkjet printer waveform design was conducted. The effectiveness of the waveform design, so-called W waveform, from previous study as a preliminary vibration for the multi-drop ejection method was investigated. The unmodified W waveform was proven not to be an effective waveform for lower viscosity of liquid, especially when compared by the standard waveform obtained from a print-head manufacturer. Edible ink with a viscosity below the optimum range for print-head specifications was employed as the operating liquid. The preliminary vibration W waveform was modified to improve the droplet quality of the edible ink. It was proven that a 40% adjusted voltage of the rear wave of the W waveform was effective as the optimum waveform design for edible ink. The droplet quality of the multi-drop ejection method for grey-scale technology was improved by optimizing the W waveform design.

scholarly journals New actuation waveform design of DoD inkjet printer for single and multi-drop ejection method

2019 ◽  
Vol 25 ◽  
pp. 522-531 ◽  
Author(s):  
Oke Oktavianty ◽  
Tadayuki Kyotani ◽  
Shigeyuki Haruyama ◽  
Ken Kaminishi
Keyword(s):  
Waveform Design ◽  
Inkjet Printer ◽  
Ejection Method

scholarly journals Poly(vinyl alcohol): formulation of a polymer ink for the patterning of substrates with a drop-on-demand inkjet printer

2017 ◽  
Vol 51 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Pavol Šuly ◽  
Petr Krčmár ◽  
Jan Mašlík ◽  
Pavel Urbánek ◽  
Ivo Kuritka
Keyword(s):  
Vinyl Alcohol ◽  
Poly Vinyl Alcohol ◽  
On Demand ◽  
Drop On Demand ◽  
Inkjet Printer

Numerical Study on a Drop-on-Demand Micro Droplet Print Head

2012 ◽  
Vol 217-219 ◽  
pp. 1429-1434
Author(s):  
Cheng Jian Zheng ◽  
Sheng Dong Gao ◽  
Ying Xue Yao
Keyword(s):  
Conceptual Design ◽  
Piezoelectric Actuator ◽  
Numerical Study ◽  
Metal Droplet ◽  
Axisymmetric Model ◽  
Print Head ◽  
On Demand ◽  
Drop On Demand ◽  
Vof Model ◽  
Parametric Studies

A conceptual design of a drop-on-demand(DOD) micro metal droplet print head, which is characterized as the non-heat affection of piezoelectric actuator and a desirable controllability on droplet condition, is devised. With a 2D axisymmetric model and a VOF model, the droplet evolution is simulated for understanding the mechanism within. Parametric studies are followed to investigate relationship between droplet condition and print head parameters for realizing accurate control of droplet condition.

App review of anxiety and depression chatbots and their self-care features (Preprint)

2020 ◽  
Author(s):  
Arfan Ahmed ◽  
Nashva ALi ◽  
Sarah Aziz ◽  
Alaa A Abd-Alrazaq ◽  
Asmaa Hassan ◽  
...  
Keyword(s):  
Mental Health ◽  
Meta Analysis ◽  
Self Care ◽  
Anxiety And Depression ◽  
Conversational Agents ◽  
Eligibility Criteria ◽  
On Demand ◽  
User Ratings ◽  
Google Play

BACKGROUND Anxiety and depression rates are at an all-time high along with other mental health disorders. Smartphone-based mental health chatbots or conversational agents can aid psychiatrists and replace some of the costly human based interaction and represent a unique opportunity to expand the availability and quality of mental health services and treatment. Regular up-to-date reviews will allow medics and individuals to recommend or use anxiety and depression related smartphone based chatbots with greater confidence. OBJECTIVE Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. METHODS A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbots for anxiety and depression. Eligibility of the chatbots was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and upon installation by 2 reviewers. Finally, chatbots quality information was assessed by following the mHONcode principles. RESULTS Although around 1000 anxiety and depression related chatbots exist, only a few (n=11) contained actual chatbots that could provide the user a real substitute for a human-human based interaction, even with today's Artificial Intelligence advancements, only one of these chatbots had voice as an input/output modality. Of the selected apps that contained chatbots all were clearly built with a therapeutic human substitute goal in mind. The majority had high user ratings and downloads highlighting the popularity of such chatbots and their promising future within the realm of anxiety and depression. CONCLUSIONS Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed assistance to professionals. In the current covid-19 pandemic, chatbots can also serve as a conversational companion with the potential of combating loneliness, especially in lockdowns where there is a lack of social interaction. Due to the ubiquitous nature of chatbots users can access them on-demand at the touch of a screen on ones’ smartphone. Self-care interventions are known to be effective and exist in various forms and some can be made available as chatbot features, such as assessment, mood tracking, medicine tracking, or simply providing conversation in times of loneliness.

Sign in / Sign up

Export Citation Format

Share Document