Click on titles to download full articles:
Aditya Sarkar, Himadri Sekhar Mondal, Arpitam Chatterjee and Arun Kiran Pal
E-mails: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com
Department of Printing Engineering, Jadavpur University, Salt Lake Campus, B-73-80, Plot No. 8, Salt Lake Bypass, LB Block, Sector III, Bidhannagar, Kolkata – 700106, West Bengal, India
The wet film thickness of printing ink in offset printing process is an important parameter which is related with the print quality and cost. In this paper, the prediction of ink film thickness in offset printing based on machine learning has been proposed. For measurement and prediction of wet ink film thickness in offset process, an experimental inking model is designed and used to show the effect of various factors like machine speed, run time, ink color, ambient temperature, and relative humidity on it. The machine learning based prediction models can provide very close approximation of the accurate information about the control parameters so that the print technician could make a good setting work during real-time production process. With the help of this, the technician can make a good decision in the setting of control parameters for ink thickness based on this predictor. The results show that the prediction models can provide about 95 % accuracy in predicting the ink film thickness. Thus, the prediction system not only can help technicians and greatly improve their production efficiency, but also can save the cost of production.
Keywords: offset printing, prediction models, support vector regression, random forest regression
JPMTR-2306 Original scientific paper| 179
Tölzer Str. 41, 82194 Gröbenzell
On contemporary web printing machines, longitudinal and lateral register control of high precision is a crucial requirement for successful use in the roll-to-roll production of multi-layer electronic components. In the present study, an overview of mathematical models of two-dimensional register errors is shown. Simulation of the register errors is enabled by the use of a multi-layer model. Representation of the influencing variables on the lateral and longitudinal register errors and the mass flow chain is given in a joint block diagram that can be further used for simulation purposes.
Keywords: block diagram, moving web, mass flow, transfer function, web deflection
JPMTR-2303 Review paper | 180
J Anthony Bristow
Bristow Consulting & Språktjänst, Aftonvägen 5. Apt 1102, 146 31 Tullinge, Sweden
We talk glibly of the surface of paper, even when we are talking e.g. of paper strength, where we should more correctly talk of the surphase strength. The strength is related to a material layer not to a geometrical surface.
Keywords: paper science, terminology, surface properties, bulk layer properties
JPMTR-2308 Position paper | 181
Graphic Design, The University of Edinburgh, Edinburgh, United Kingdom
In the context of the environmental problems caused by product packaging, sustainability is becoming one of the main goals of designers. Designers are no longer content to highlight the environmental friendliness of packaging through ‘green symbols’, ‘recycled symbols’ or ‘renewable symbols’. Instead, designers have opted for bio-materials such as plant fibers, waste from other materials and mycelium to form the bulk of the eco-packaging. The materials themselves are used to create a new design language, which directly reflects the eco-friendly features of the packaging. This paper analyses existing examples of sustainable packaging design and explores the new visual language of sustainable packaging design, mainly by means of literature and questionnaire research.
Keywords: eco-friendly packaging, biomaterials, sustainable design, packaging applications, circular packaging
JPMTR-2305 Case study | 182