3D Printing Resource Allocation via Dynamic Slicing
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Solution Overview
Problem
Current 3D printing methods lack efficient resource allocation and cost estimation, limiting user options for output price and quality, as they typically rely on fixed slicing directions and sequential simulation processes.
Innovation Solution
A 3D printing resource allocation method that involves receiving 3D modeling data, slicing it in multiple directions through virtual simulation, analyzing the sliced data for cost and quality, and generating recommendations for optimal printer selection and slicing direction, enabling real-time price and quality adjustments in a cloud environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed slicing directions are used in traditional 3D printing, then the process is simple and fast, but user options for output price and quality are limited
Solution Approach 1:
The patent implements dynamic slicing by allowing the slicing direction to be changed during the printing process based on the model's geometric features. The system automatically determines optimal slicing directions for different sections of the 3D model, transforming the static slicing approach into a dynamic one that adapts to the object's geometry, thereby improving quality and price options without requiring complex manual intervention
Solution Approach 2:
The system changes the slicing parameter (direction angle) based on the analysis of 3D model data. By calculating and adjusting the slicing direction parameters according to the model's features, the system optimizes printing quality and material usage, providing users with multiple quality and price options while maintaining automated processing
2Measurement precision
If sequential simulation processes are used for 3D printing resource allocation, then the analysis is thorough, but simulation time is excessive
Solution Approach 1:
The patent performs preliminary analysis of the 3D model data before the actual printing simulation. The system pre-calculates geometric features, identifies optimal slicing directions, and prepares resource allocation parameters in advance. This preliminary action reduces the computational burden during the actual simulation, providing accurate cost and quality estimates without excessive simulation time
Solution Approach 2:
The patent divides the 3D model into multiple sections or regions based on geometric features, and performs analysis on each segment separately. This segmentation allows the system to process complex models more efficiently by breaking down the overall simulation into smaller, manageable parts, maintaining accuracy while reducing total simulation time
Data Source
AI summary
In accordance with at least one embodiment, 3D printing resource allocation may include receiving 3D modeling data from a device; slicing the 3D modeling data along a plurality of slicing directions; analyzing the sliced 3D modeling data, with the analyzing pertaining to, at least, a calculated cost and estimated quality of for the slicing of the 3D modeling data along each of the respective slicing directions; generating at least one recommendation for 3D printing based on, at least, the analysis of the sliced 3D modeling data; and transmitting the at least one 3D printing recommendation.