Micro-pillar Array Digital Model for 3D Printing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional CAD models are inefficient in representing a dense array of micro-pillars, making it difficult for 3D printers to fabricate arrays of over a thousand micro-pillars effectively.
Innovation Solution
A digital model that describes a micro-pillar array using a limited number of parameters, such as height, base thickness, profile, and tilt, allowing for efficient representation and fabrication of dense micro-pillar arrays, where each micro-pillar can be defined by as few as two parameters, enabling the creation of arrays with thousands of micro-pillars.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional CAD models are used to represent micro-pillar arrays, then the representation is simple and easy to understand, but the model becomes inefficient and cannot effectively represent dense arrays of more than a thousand micro-pillars
Solution Approach 1:
The patent segments the representation of individual micro-pillars into parameter sets (height, base diameter, top diameter, tilt angle, profile) that can be efficiently stored and processed. This segmentation allows the system to represent thousands of micro-pillars using compact parameter data rather than full geometric models, resolving the contradiction between model simplicity and the ability to represent large quantities.
Solution Approach 2:
The patent changes the representation parameters from traditional CAD geometry data to a simplified parameter set including height, base diameter, top diameter, tilt angle, and profile. This parameter transformation enables efficient storage and processing of dense micro-pillar arrays while maintaining all necessary geometric information, directly addressing the contradiction between representation efficiency and quantity capability.
2Productivity
If a 3D printer fabricates dense arrays of more than a thousand micro-pillars, then the productivity increases, but the manufacturing precision and control over individual pillar geometry deteriorates
Solution Approach 1:
The patent introduces a digital modeling dimension that operates independently from the physical fabrication process. By creating a computational representation system that can handle thousands of pillars through parameter arrays, the system achieves high productivity while maintaining precision through computational control rather than direct mechanical control, resolving the contradiction between quantity and precision.
Solution Approach 2:
The patent replaces traditional mechanical CAD modeling with a computational parameter-based digital model. This substitution allows for precise control of individual pillar geometry through software parameters rather than mechanical constraints, enabling the fabrication of thousands of pillars with maintained precision by using computational rather than mechanical representation methods.
3Manufacturing precision
If each micro-pillar is described by multiple detailed parameters, then the manufacturing precision is maintained, but the device complexity and data requirements increase significantly
Solution Approach 1:
The patent extracts the essential geometric information into five key parameters (height, base diameter, top diameter, tilt angle, profile) while omitting redundant details. This extraction maintains manufacturing precision by capturing all necessary geometric characteristics while significantly reducing the complexity of the parameter set, directly resolving the contradiction between precision and complexity.
Solution Approach 2:
The patent creates a universal parameter set that can describe all micro-pillars in the array using the same five parameters regardless of their specific dimensions or orientations. This multi-functional parameter system maintains precision across diverse pillar geometries while avoiding the need for different parameter sets for different pillar types, thereby reducing overall system complexity.
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
Enables the practical 3D printing of dense micro-pillar arrays across various surfaces, including flat and curved surfaces, with precise control over geometry and density, facilitating actuation of passive objects through vibration and effective sensing of gestures.
Implementation Method 1
a 3D printer fabricates a micro-pillar array, based on the instructions
Implementation Method 2
applying vibration to a directional array of micro-pillars causes the array to actuate motion of a passive object that is touching the array
Data Source
AI summary
A computer produces a digital model that efficiently describes a dense array of many micro-pillars. The digital model achieves this efficiency by describing an entire micro-pillar with only a few parameters. For example, an entire micro-pillar may be described by two of more of the following parameters: height, base thickness, profile and tilt. The computer outputs instructions to fabricate the micro-pillar array, in accordance with the digital model. A 3D printer fabricates the micro-pillar array, based on the instructions. Applying vibration to a directional array of micro-pillars may cause the array of micro-pillars to actuate motion of a passive object that is touching the array. Also, a sensor may measure sounds caused by swipes against a micro-pillar array, and output signals indicative of the measurements. A computer performs a machine learning algorithm that takes the measurements as an input, and classifies the swipes.