3D Model Augmentation With Algae Microfluidics for Sensor Power
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Solution Overview
Problem
Current 3D printing methods lack a systematic approach to power sensors on manufactured mechanisms using algae-based power generation, which is not maintainable and efficient.
Innovation Solution
A computer-implemented method that analyzes a 3D object's model, sensors, and environmental parameters to augment the model with microfluidic circuitry for algae-based power generation, incorporating AI to determine necessary circuit dimensions, materials, and hybrid power supplies to meet sensor power requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If algae-based power generation is implemented to power sensors on 3D printed objects, then sustainability and maintainability are improved, but system complexity increases due to integration of microfluidic circuitry
Solution Approach 1:
The patent combines multiple functions into a single integrated system: the microfluidic circuitry serves both as the structural housing for the algae and as the power generation system. The circuitry is printed directly as part of the 3D object, merging the mechanical structure with the biological power generation system, thereby reducing overall system complexity despite adding functionality.
Solution Approach 2:
The microfluidic circuitry performs multiple functions simultaneously: it provides structural support, contains and delivers nutrients to the algae, collects generated power, and monitors algae health through integrated sensors. This multi-functionality reduces the need for separate components, improving maintainability while managing system complexity.
2Duration of action of moving object
If microfluidic circuitry is integrated into 3D printed objects for algae power generation, then power supply continuity is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent utilizes the viscoelastic properties of photopolymerizable resin during 3D printing to achieve precise microfluidic channel formation. By controlling printing parameters such as layer thickness, curing time, and resin composition, the system achieves the necessary manufacturing precision for functional microfluidic circuitry integrated into the 3D object.
Solution Approach 2:
The microfluidic circuitry is designed to self-assemble and self-regulate during the 3D printing process. The circuitry automatically forms closed loops with integrated nutrient reservoirs and algae containment chambers, eliminating the need for post-processing assembly and reducing precision requirements for manual integration.
3Productivity
If AI analysis is used to optimize microfluidic circuitry design, then power generation efficiency is improved, but computational resources and time are increased
Solution Approach 1:
The system performs AI-based analysis of sensor power requirements, environmental conditions, and microfluidic circuitry design parameters before the 3D printing process begins. This preliminary optimization ensures that the printed circuitry is perfectly sized and configured for maximum algae power generation efficiency, eliminating the need for iterative redesign and reducing overall development time.
Solution Approach 2:
The patent replaces traditional trial-and-error design methods with AI-based computational analysis. The AI system automatically optimizes circuitry dimensions, channel geometry, and algae distribution based on input parameters, substituting mechanical iteration with intelligent algorithms that converge faster and require less physical prototyping.
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 efficient and maintainable algae-based power generation for sensors on 3D printed objects by integrating microfluidic circuitry with algae, ensuring continuous power supply and health monitoring.
Implementation Method 1
supplying the microfluidic circuitry with algae for the algae-based power generation
Implementation Method 2
power levels that can be generated at the location by algae-based power generation
Data Source
AI summary
A computer-implemented method for augmentation and printing of a three-dimensional (3D) object is provided. The computer-implemented method includes analyzing a model of the 3D object, information of sensors for deployment on the 3D object and environmental parameters of a location where the 3D object is deployable and determining, from results of the analyzing, a surface contour of the 3D object, power requirements of the sensors and power levels that can be generated at the location by algae-based power generation. The computer-implemented method further includes augmenting the model with microfluidic circuitry models for supporting the algae-based power generation on the surface contour to meet the power requirements to an extent possible given the power levels, printing the 3D object and microfluidic circuitry according to the model and the microfluidic circuitry models and supplying the microfluidic circuitry with algae for the algae-based power generation.