Introduction
The process of cutting materials is an important step in many industries, where it is often necessary to cut complex shapes in large sheet materials. An essential component of the cutting process is the optimization of cutting paths. The most common approach is to use software to generate cutting paths that minimize material waste. This is done by optimizing the cutting paths to maximize the number of parts that can be cut from a given material, while avoiding elongated cuts or unnecessary secondary operations.
In certain industries, such as apparel manufacturing and printing, high-tensional cutting of fabric is often used for cutting complex shapes. The cutting paths for fabric need to be carefully selected to minimize the amount of material waste, as this is often a costly process. This is where double-scale optimization of the cutting paths (DSO) can be used.
What is Double Scale Optimization?
Double scale optimization is an optimization technique that is used to optimize cutting paths when cutting fabric. The concept is based on the idea that the cutting paths should contain curves and lines that are made up of very small arcs and intersecting lines at the points of maximum curvature. The arcs, along with the intersecting lines, form the framework of the cutting path that is optimized by the double scale algorithm.
In order to optimize the cutting paths, the double scale algorithm first divides the cloth into small square portions, and then further divides these portions into even smaller squares. In this way, it is able to create curves or paths that minimize the amount of material waste and maximize the number of parts that can be cut from the fabric.
How does Double Scale Optimization Work?
The double scale algorithm works by:
1. Calculating the curvature of the fabric
2. Dividing the fabric into smaller squares
3. Calculating the curvature of each square
4. Investigating the relationships between the curvatures
5. Generating the optimal cutting path
The curvature of the fabric is calculated by taking into account factors such as the shape of the fabric, the grain direction, and the elasticity of the fabric. The algorithm then takes into account the curvature of each of the small squares to determine the optimal path through them.
It then seeks to find the relationships between the curvatures and determine which lines and points will ultimately be used in the optimized cutting path. The optimal cutting path is then generated in a way that minimizes material waste and maximizes the number of parts that can be cut from the fabric.
Benefits of Double Scale Optimization
Double scale optimization of cutting paths offers several advantages over traditional approaches. Firstly, it can significantly reduce material waste, resulting in less scrap and more cost savings. Secondly, it can reduce the amount of secondary operations needed by optimizing the number of pieces that can be cut from the fabric. Finally, using double scale optimization can also help improve the accuracy of cutting, resulting in better-fitted pieces that are more aesthetically pleasing.
Conclusion
Double scale optimization of cutting paths is an important optimization technique that has the potential to significantly reduce material waste. By dividing the fabric into small squares and further optimizing the curvature of these squares, it is possible to generate cutting paths that maximize the number of parts that can be cut from the fabric, while minimizing the amount of material waste and secondary operations. This optimization technique is becoming increasingly popular in the apparel manufacturing and printing industries due to its numerous benefits.
