Face Material Selection for High-Resolution Printable Labels
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Solution Overview
Problem
Existing methods for selecting face materials for printed labels fail to optimize the quality and reduce variation in labels that combine human-readable and machine-readable information, leading to inconsistencies in halftone resolution and data area module size.
Innovation Solution
A method involving multiple preselecting, printing, and evaluating steps to select face materials based on surface energy, opacity, and printing methods, ensuring halftone resolution of at least 30 L/cm and machine-readable data area module size less than 1.0 mm, using contact and non-contact printing techniques like flexo, offset, laser, and inkjet printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing face material selection methods are used, then label production is simple and quick, but the quality consistency and precision of printed labels (both human-readable and machine-readable information) deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-selecting face materials based on surface energy levels (≥38 dynes/cm) and opacity (≥60%) before the actual printing process. This pre-selection criterion ensures that only materials meeting specific quality thresholds are used, thereby guaranteeing consistent halftone resolution (≥30 L/cm) and data area module size (<1.0 mm) in the final printed labels.
Solution Approach 2:
The patent utilizes parameter changes by establishing specific quantitative criteria for face material selection: surface energy level of at least 38 dynes/cm and opacity of at least 60%. These parameter thresholds directly influence the printing quality, ensuring that the selected materials can achieve the required halftone resolution and machine-readable information precision when printed using contact or non-contact methods.
2Reliability
If multiple printing methods are used to provide both human-readable and machine-readable information, then label information completeness is improved, but the variation in print quality increases
Solution Approach 1:
The patent applies local quality by differentiating the selection criteria and evaluation methods for different types of printed information. Human-readable information is evaluated based on halftone resolution (≥30 L/cm), while machine-readable information is evaluated based on data area module size (<1.0 mm). This localized quality approach ensures that each type of information meets its specific precision requirements while maintaining overall print quality consistency through the unified face material pre-selection process.
Solution Approach 2:
The patent implements feedback by evaluating the printed output for both human-readable and machine-readable information and using these evaluation results to confirm or adjust face material selection. The evaluation process measures halftone resolution and data area module size, providing feedback that ensures the selected face materials consistently produce high-quality prints across different information types and printing methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method ensures high-quality printed labels with consistent human-readable and machine-readable information, enhancing traceability, security, and visual appeal by optimizing face material selection and printing processes.
Implementation Method 1
selecting the face materials of the first preselecting step, which face materials have surface energy level at least 38 dynes/cm
Data Source
AI summary
The invention relates to a method for selecting a face material for a printable label and to a printed label comprising the face material, which is selected by the method. According to an embodiment the method comprises preselecting steps, printing step(s) comprising printing of the preselected face materials using printing method(s) providing a human-readable information and a machine-readable information, evaluating steps, and a final selecting step comprising selecting of the face material, which comprises the human-readable information exhibiting a halftone resolution at least 30 L/cm and the machine-readable information exhibiting final data area module size less than 1.0 mm.