3D-Printed Energy Balance Formulation With ML Personalization
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Solution Overview
Problem
Existing rapid prototyping methods are inadequate for producing complex and effective energy balance formulations to improve and balance a patient's energy levels.
Innovation Solution
A printer system comprising a processor, memory, and an additive manufacturing device that receives an energy quantifier, generates an energy rebalancing plan using machine-learning, and prints an energy balance formulation to specific body areas with insufficient life energy using additive manufacturing processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional manufacturing methods are used for producing energy balance formulations, then the manufacturing process is simple, but the formulations cannot effectively address complex energy imbalances in specific body areas
Solution Approach 1:
The patent applies local quality by creating formulations with spatially varying ingredient concentrations tailored to specific body areas. The additive manufacturing device deposits ingredients in controlled patterns that match the energy balance requirements of different regions, allowing each area to receive a customized formulation composition rather than a uniform mixture.
Solution Approach 2:
The formulation is segmented into multiple ingredient components that can be independently controlled and deposited. The system divides the manufacturing process into discrete steps where different ingredients are added in specific sequences and locations, enabling complex multi-component formulations to be produced with precise spatial distribution.
2Reliability
If rapid prototyping methods are used, then the manufacturing speed is fast, but the formulations lack effectiveness for personalized energy balancing
Solution Approach 1:
The system dynamically adjusts formulation parameters including ingredient concentrations, deposition patterns, and layering sequences based on the user's specific energy balance assessment. The additive manufacturing process allows real-time modification of formulation parameters to optimize both effectiveness for the individual user and manufacturing efficiency.
3Adaptability or versatility
If complex formulations are created to address specific body areas, then the energy balancing effectiveness is improved, but the manufacturing precision requirements increase
Solution Approach 1:
The patent replaces traditional mechanical mixing and formulation methods with an additive manufacturing approach that uses controlled material deposition. This substitution enables precise placement of ingredients in specific spatial patterns without requiring complex mechanical mixing processes, achieving high precision through digital control of the deposition system.
Data Source
AI summary
An apparatus for printing an energy balance formulation, wherein the apparatus includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive an energy quantifier related to a user and generate an energy rebalancing plan wherein the energy rebalancing plan identifies an energy balance formulation includes training a machine-learning process using energy training data, wherein the energy training data contains a plurality of inputs containing energy quantifiers correlated to a plurality of outputs containing energy rebalancing plans. The memory contains instructions further configuring the processor to generate the energy rebalancing plan as a function of the machine-learning process and the energy quantifier. The memory contains instructions further configuring the additive manufacturing device to print the energy balance formulation based on the energy rebalancing plan.