Custom Furniture Design System with Automated Production Data Generation
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Solution Overview
Problem
Conventional methods for designing custom-made furniture struggle to provide accurate production data for automated manufacturing systems, particularly when customer-specific dimensions and shapes are required, leading to difficulties in producing custom furniture products efficiently.
Innovation Solution
A system and method that involve inputting and altering dimensions of furniture components, correlating faces of part member spaces to form unit spaces, and generating necessary machining data for automated production, using a computer program to output precise three-dimensional images and production orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom furniture dimensions and shapes are altered to meet customer requests, then adaptability and customer satisfaction are improved, but manufacturing precision and automation compatibility deteriorate
Solution Approach 1:
The furniture product is divided into multiple part members, each with its own circumscribing rectangular parallelepiped. This segmentation allows independent dimension alteration of each part member while maintaining automated manufacturing compatibility through standardized data structures for each segment.
Solution Approach 2:
The system alters the parameters (dimensions and shapes) of part member spaces and their face correlations to generate customized furniture designs. By systematically changing these parameters and recalculating face correlations, the system maintains manufacturing precision even as customization increases.
2Adaptability or versatility
If three-dimensional design alterations are made to accommodate customer requests, then product adaptability is improved, but production data generation complexity increases
Solution Approach 1:
The system pre-establishes face correlations between part member spaces before final design alterations. This preliminary structuring of spatial relationships allows for automated recalculation of production data when dimensions are changed, reducing the complexity of real-time data generation.
Solution Approach 2:
The face correlation data acts as an intermediary between the three-dimensional design and the production data. By maintaining and updating face correlation information when design alterations occur, the system simplifies the generation of accurate production data without directly complexifying the entire data processing system.
3Productivity
If automated manufacturing systems are used for furniture production, then productivity is improved, but the ability to handle custom dimensions and shapes deteriorates
Solution Approach 1:
The system replaces manual design and production planning with automated computer-based calculations. By substituting mechanical design processes with computational algorithms that automatically recalculate face correlations and generate production data, the system maintains high productivity while enabling full customization capability.
Data Source
AI summary
A method for designing and customizing a furniture product on a screen of a computer comprising displaying a plurality of rectangular parallelepiped spaces as a plurality of part member spaces on a screen, assembling the plurality of part member spaces on the screen such that the plurality of the part member spaces form a furniture product, providing a part member face-correlation between a face of the first part member space and a face of the second part member space that is in parallel with the face of the first part member space, moving the face of the first part member space by a predetermined distances in a perpendicular direction to the face, and displaying a three-dimensional image of the furniture product on the screen after the alteration of dimensions of the part member spaces.