Digital Cutting Estimation via Object-Machinery Correlation
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Solution Overview
Problem
Existing digital cutting estimation methods are inaccurate when performed early in the design process, hindering decision-making regarding design parameters such as size, material, and complexity due to unknown economical effects.
Innovation Solution
An apparatus and method for estimating cut descriptive parameters, such as time and cost, by correlating object parameters with information about digital cutting machinery and sheet material, allowing for early estimation of cutting requirements in the design phase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If estimation is made earlier in the design process, then decision-making capability is improved, but estimation accuracy deteriorates
Solution Approach 1:
The system performs preliminary estimation actions by calculating cut descriptive parameters (cutting time, material usage, costs) based on basic geometric characteristics before the final design is completed. This allows designers to make informed decisions early in the design process without waiting for detailed final designs, thereby resolving the contradiction between early decision-making and estimation accuracy.
Solution Approach 2:
The system introduces an intermediary estimation module that acts as a mediator between early design concepts and final detailed designs. This module correlates basic object parameters with cutting machinery information to produce intermediate estimation results, enabling early decision-making while maintaining reasonable accuracy through iterative refinement as design details become available.
2Measurement precision
If detailed final design is required for accurate estimation, then estimation accuracy is improved, but design process flexibility deteriorates
Solution Approach 1:
The estimation system is designed to be dynamic and adaptive, accepting inputs at different levels of detail depending on the design stage. It can process basic geometric characteristics early in the design process and refine estimations as more detailed design information becomes available, thereby maintaining both accuracy and flexibility throughout the design process.
Solution Approach 2:
The system changes its input parameter requirements based on the design stage. Early estimations use basic geometric parameters, while later refinements incorporate more detailed design parameters. This parameter adaptation allows the system to maintain accuracy across different design stages without requiring complete final design details upfront.
3Reliability
If comprehensive object parameters are collected, then estimation reliability is improved, but system complexity deteriorates
Solution Approach 1:
The system segments the estimation process into distinct modules: geometric characteristic analysis, parameter correlation, cutting machinery information integration, and result generation. Each module handles specific aspects of the estimation, reducing overall system complexity while maintaining reliability through specialized processing in each segment.
Solution Approach 2:
The estimation system is designed with universal components that can handle multiple types of inputs and produce various estimation outputs (cutting time, material usage, costs). This multi-functionality reduces the need for separate specialized systems for different estimation types, thereby reducing overall system complexity while maintaining comprehensive and reliable estimations.
Data Source
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AI summary
An apparatus for estimating cut descriptive parameters in relation to digital cutting, by means of digital cutting machineries, of objects in a sheet material, said estimating apparatus comprising an input module enabling a user to provide object parameters to said estimating apparatus comprising geometric characteristics of said objects to be cut, a storage module for storage of information at least in relation to said digital cutting machineries and said sheet material, an estimating module for estimating said cut descriptive parameters by means of a data processor unit based on said object parameters provided by a user and the stored information relating to the digital cutting machineries and the sheet material, and an output module for presenting said cut descriptive parameters to said user, said cut descriptive parameters being estimated based on a correlation of said object parameters, said information in relation to said digital cutting machineries and said sheet material.