3D Container Particle Placement Using Valid Area Intersection
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Solution Overview
Problem
Existing methods for placing particles in a container require precise manipulation, leading to user burden and potential errors such as clustering or overlapping with container walls.
Innovation Solution
A program that reads three-dimensional data of the container, sets a first area within the container, and places particles in a third area common to both the first and second areas, based on this data, reducing the need for precise user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a narrow range is designated for placing particles at the bottom of the container, then particles are concentrated in a specific area, but particles become clustered in a part of the bottom
Solution Approach 1:
The system automatically calculates and determines the optimal placement range for particles before the user designates the placement area. By pre-computing the container's interior space and determining safe placement zones that avoid walls and other particles, the system eliminates the need for users to manually specify precise coordinates, thereby preventing both clustering and overlapping errors
Solution Approach 2:
The system performs self-correction by automatically adjusting particle placement coordinates to ensure they fall within valid ranges. The software calculates the intersection of the user-designated first area and the computed second area (valid placement zone), and automatically places particles in this intersection without requiring user intervention to correct positioning errors
2Stability of the object's composition
If the entire bottom surface is designated for particle placement, then particles are evenly distributed, but precise manipulation is required
Solution Approach 1:
The system automatically performs the complex calculation of determining valid placement areas and computing the intersection with user-designated areas. Users only need to roughly designate the bottom area, and the system handles the precise coordinate calculations and adjustments, eliminating the need for users to perform precise manual manipulation while maintaining even particle distribution
Solution Approach 2:
The patent replaces manual mechanical manipulation (precise mouse or input device operations) with automated computational processes. The system uses algorithms to calculate valid placement zones, compute intersections, and determine particle coordinates automatically, substituting complex user manipulation with automated mathematical computations
3Adaptability or versatility
If manual manipulation is used to place particles, then user control is maintained, but user burden increases and concentration is required
Solution Approach 1:
The system performs automated calculations and adjustments for particle placement, including determining valid areas, computing intersections, and adjusting coordinates to prevent overlaps. This automation maintains user control over the overall placement strategy while eliminating the need for users to concentrate on precise coordinate manipulation
Solution Approach 2:
The system introduces an intermediate computational process that acts as a mediator between user intent and particle placement execution. The software calculates the intersection area between user-designated regions and computationally-determined valid zones, then automatically places particles in this intersection, serving as an intelligent intermediary that translates rough user input into precise particle positions
Data Source
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AI summary
The objective of the present disclosure is to provide a means of reducing a burden on users when placing particles. In one aspect, provided is: a program for simulating particles motion in a container, a medium, a method using the same, and a device in which the program is installed. The program is able to command a processor of an information processing device to execute steps including: reading three-dimensional data of the container; reading particles data; setting a first area including at least a portion of an interior space of the container; and placing particles in a third area, wherein the third area is an area common to the first area and a second area, and wherein the second area corresponds to the interior space of the container at least based on the three-dimensional data.