Optimal positioning of irregular shapes in stamping die strip

The nesting of two-dimensional shapes is a common problem, where raw material has to be economically cut. As for the single-pass single-row strip layout, several algorithms, based on established methods, have been proposed. Moreover, it should be noticed that the optimum layout should also consider a few constraints, like grain orientation for subsequent forming operation, correct bridge width, and the commercial roll of metal width in order to make solutions applicable in real industrial environments. Most of the procedures until now shown in literature are quite complex and often ignore these real constraints. They usually make use of sliding techniques and are not able to effectively work with relatively multiple-connected figures. In particular, most of the different proposed procedures are based on the No Fit Polygon (NFP) computation of non-convex polygons, which often generates holes. This work is a proposal for a more efficient method, which can be used in heuristic procedures. In order to overcome some faults of most of the former methods presented in literature, in this paper a new geometric entity called \u201cNo Fit Path\u201d (NFPh) of non-convex polygons is applied. It allows researchers to find solutions of nesting problems even when there are NFP faults due to degenerate solutions. Moreover, the No Fit Path allows researchers to easily read, modify, or share their results, overcoming all those problems arising from the usual large amount of information and from the different origins and formats of the obtained data. Given two non-convex polygons, the algorithm is able to calculate their NFPh very quickly and without any approximation by a polygon clipping method. In this paper a totally automated procedure has been developed. This procedure firstly obtains the \u201cNo Fit Path\u201d (NFPh); secondly, between all the existing positions on the NFPh, the algorithm searches the optimal one, minimizing the global waste. The proposed approach also allows designers to set an optimal orientation of the shapes on the roll of metal, taking account of the grain orientation in order to obtain the best mechanical characteristics for the cut pieces

Quantization with Knowledge Base Applied to Geometrical Nesting Problem

Nesting algorithms deal with placing two-dimensional shapes on the given canvas. In this paper a binary way of solving the nesting problem is proposed. Geometric shapes are quantized into binary form, which is used to operate on them. After finishing nesting they are converted back into original geometrical form. Investigations showed, that there is a big influence of quantization accuracy for the nesting effect. However, greater accuracy results with longer time of computation. The proposed knowledge base system is able to strongly reduce the computational time

Minimizing waste in the 2-dimensional cutting stock problem

The 2-dimensional cutting stock problem is an important problem in the garment manufacturing industry. The problem is to arrange a given set of 2-dimensional patterns onto a rectangular bolt of cloth such that the efficiency is maximised. This arrangement is called a marker. Efficiency is measured by pattern area I marker area. Efficiency varies depending on the shape and number of patterns being cut, but an improvement in efficiency can result in significant savings. Markers are usually created by humans with the aid of CAD software. Many researchers have attempted to create automatic marker making software but have failed to produce marker efficiencies as high as human generated ones. This thesis presents a mathematical model which optimally solves the 2-dimensional cutting stock problem. However, the model can only be solved in a practical amount of time for small markers. Subsequently, two compaction algorithms based on mathematical modelling have been developed to improve the efficiency of human generated markers. The models developed in this thesis make use of a geometrical calculation known as the no-fit polygon. The no-fit polygon is a tool for determining whether polygons A and B overlap. It also gives all feasible positions for polygons B with respect to polygon A, such that the two polygons do not overlap. For the case when both polygons A and B are non-convex, current calculation methods are either time consuming or unreliable. This thesis presents a method which is both computationally efficient and robust for calculating the no-fit polygon when polygons A and B are non-convex. When tested on a set of industrial markers, the compaction algorithms improved the marker efficiencies by over 1.5% on average

A scanline-based algorithm for the 2D free-form bin packing problem

Abstract This paper describes a heuristic algorithm for the two-dimensional free-form bin packing (2D-FBP) problem, which is also called the irregular cutting and packing, or nesting problem. Given a set of 2D free-form bins, which in practice may be plate materials, and a set of 2D free-form items, which in practice may be plate parts to be cut out of the materials, the 2D-FBP problem is to lay out items inside one or more bins in such a way that the number of bins used is minimized, and for each bin, the yield is maximized. The proposed algorithm handles the problem as a variant of the one-dimensional bin-packing problem; i.e., items and bins are approximated as sets of scanlines, and scanlines are packed. The details of the algorithm are given, and its application to a nesting problem in a shipbuilding company is reported. The proposed algorithm consists of the basic and the group placement algorithms. The basic placement algorithm is a variant of the first-fit decreasing algorithm which is simply extended from the one-dimensional case to the two-dimensional case by a novel scanline approximation. The group placement algorithm is an extension of the basic placement algorithm with recombination of input items. A numerical study with real instances shows that the basic placement algorithm has sufficient performance for most of the instances, however, the group placement algorithm is required when items must be aligned in columns. The qualities of the resulting layouts are good enough for practical use, and the processing times required for both algorithms are much faster than those by manual nesting. 1

An Evolutionary Algorithm for solving the Two-Dimensional Irregular Shape Packing Problem combined with the Knapsack Problem

This work presents an evolutionary algorithm to solve a joint problem of the Packing Problem and the Knapsack Problem, where the objective is to place items (with shape, value and weight) in a container (defined by its shape and capacity), maximizing the container's value, without intersections

Polygon packing approach to disconnected graph layout

Cataloged from PDF version of article.Graph layout has become an important area of research in Computer Science for the last couple of decades. There is a wide range of applications for graph layout including data structures, databases, software engineering, VLSI technology, electrical engineering, production planning, chemistry, and biology. Most layout algorithms assume the graph to be connected. However, most graphs are disconnected and a method for putting the disconnected graph objects together is needed. Two-dimensional packing algorithms have wide area of application such as in the steel and textile industry. In steel industry, problems frequently occur when the need to stamp polygonal figures from a rectangular board arises. In the textile industry, similar problems exist. The aim is same: to maximize the use of the contiguous remainder of the board. Recently, two-dimensional packing has also been used in disconnected graph layout yielding algorithms that ‘tile’ the disconnected graph objects, which are represented by rectangles. These algorithms are also required to respect the specified aspect ratio for the final layout. A more recent approach to disconnected graph layout has been the use of polyominoes for representing the graph objects resulting in more accurate packings at the cost of increased execution times. In this thesis, we use polygons for a more accurate representation of graph objects and present new algorithms for disconnected graph layout. Specifically, we apply the No-Fit Polygon approach in twodimensional packing to disconnected graph layout. We present and analyze the graph layouts resulting from our new approach and contrast the new approach with previous ones.Başköy, CihadM.S