Subspace Nesting Evaluation for Laser Cutting Layout Optimization

The patent applies preliminary action by performing geometric nesting first to establish an initial arrangement, then using this as a foundation for subsequent optimization. The system determines a movement sequence based on the preliminary nesting result, and then iteratively improves the nesting by evaluating multiple criteria including material efficiency, cutting time, and quality parameters. This stepwise approach allows the system to start with a feasible solution and progressively refine it to achieve optimal nesting.

The patent implements feedback by continuously evaluating nesting results against multiple criteria (material efficiency, cutting time, quality parameters) and using this evaluation information to generate improved nesting arrangements. The system aggregates evaluation data from multiple sources including user feedback and process data, then uses this aggregated information to adjust and improve subsequent nesting iterations. This closed-loop feedback mechanism enables the system to learn from past performance and continuously improve nesting quality.

The patent applies parameter changes by optimizing multiple nesting parameters simultaneously including workpiece arrangement positions, cutting sequence order, and movement paths. The system evaluates different parameter combinations against criteria such as material utilization rate, total cutting time, and number of beam breaks. By systematically varying and optimizing these parameters, the system achieves improved material efficiency while reducing cutting time compared to conventional single-parameter optimization methods.

The patent implements dynamics by making the nesting solution adaptive and flexible rather than static. The system can dynamically adjust the nesting arrangement and cutting sequence based on real-time evaluation of multiple criteria. The movement sequence is dynamically optimized to minimize travel time and energy consumption, and the nesting arrangement can be dynamically refined through iterative evaluation. This dynamic approach allows the system to adapt to different material types, workpiece configurations, and machine capabilities.

The patent applies segmentation by dividing the complex nesting optimization process into distinct modular evaluation stages. Each evaluation criterion (material efficiency, cutting time, quality parameters) is assessed separately through dedicated evaluation routines. The system segments the optimization process into: geometric nesting evaluation, movement sequence evaluation, quality parameter evaluation, and aggregated result evaluation. This modular segmentation makes the complex multi-criteria optimization process more manageable and computationally efficient.

The patent implements universality by creating a multi-functional evaluation system that can assess multiple different criteria using a unified framework. The evaluation system is designed to handle diverse evaluation criteria (geometric, temporal, quality-related) through a single versatile evaluation algorithm that can be configured to prioritize different criteria based on specific requirements. This universal evaluation framework reduces overall system complexity by providing a single integrated solution rather than requiring separate specialized systems for each criterion.