Matrix Sensor Array for Hardness Detection in 3D Printing
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Solution Overview
Problem
Conventional sensing devices capable of obtaining three-dimensional images cannot detect the hardness or stiffness of objects, resulting in three-dimensional printed outputs with uniform hardness, failing to replicate the varying hardness of real objects like an apple with different hardness in its peel, pulp, and seeds.
Innovation Solution
A sensing device with a sensor array arranged in a matrix form, emitting detection waves such as terahertz or ultrasonic waves, and a controller that maps image and hardness information to form three-dimensional print data, including a mobile device with a camera module to capture color information, enabling the creation of three-dimensional print data with hardness and color details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional sensing device is used to obtain three-dimensional images, then the shape information of the object can be obtained, but the hardness information of different portions of the object cannot be detected
Solution Approach 1:
The sensing device divides the detection task into multiple specialized sensors arranged in a matrix array. Each sensor detects reflected waves from specific portions of the object, enabling segmented measurement of hardness across different regions. This segmentation allows the system to capture spatially-resolved hardness information without requiring a single complex sensor.
Solution Approach 2:
The sensing device integrates multiple detection capabilities into a single system that can simultaneously obtain shape information, hardness information, and color information. The sensor array serves multiple functions: capturing geometric data through depth sensing, measuring hardness through reflected wave analysis, and working alongside camera modules for color capture, eliminating the need for separate specialized devices.
2Manufacturing precision
If a three-dimensional printing apparatus uses conventional three-dimensional image data, then the shape of the object can be replicated, but the varying hardness of different portions cannot be reproduced
Solution Approach 1:
The three-dimensional printing apparatus applies the principle of local quality by using the detected hardness information to assign different material properties to different regions of the printed object. The system maps the spatially-resolved hardness data to corresponding locations in the printed structure, enabling each portion to have the appropriate local material characteristics matching the original object.
Solution Approach 2:
The printing system utilizes composite materials with varying hardness properties to replicate the original object's heterogeneous structure. By combining materials with different mechanical properties in specific spatial arrangements, the system can reproduce objects with complex hardness distributions, such as an apple with soft pulp and harder skin, using multi-material 3D printing technology.
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 creation of three-dimensional printed objects that accurately replicate the shape and hardness variations of real objects, such as an apple with distinct hardness in its peel, pulp, and seeds, by incorporating hardness and color information into the printing process.
Implementation Method 1
obtain image information and hardness information of each portion of an object from reflected waves received by the plurality of sensors
Data Source
AI summary
A sensing device capable of detecting hardness includes a sensor array including a plurality of sensors, each of the plurality of sensors including a transmitter configured to emit a detection wave and a receiver configured to receive a reflected detection wave reflected by an object, the plurality of sensors arranged in a matrix form; and a controller configured to obtain image information and hardness information of each portion of the object from the reflected waves received by the plurality of sensors, and to form three-dimensional print data by mapping the image information and the hardness information.