AUTOMATED DESIGN OF RESOURCE-SAVING CUTTING USING RESOURCE-SAVING COEFFICIENT

  • Е. V. Fedorina Ulyanovsk State Technical University
  • I.F. Dyakov Ulyanovsk State Technical University
  • О. G. Krupennikov Ulyanovsk State Technical University
Keywords: Optimal cutting, resource-cost indicator, database, cutting optimization program

Abstract

The applied programs and cad for cutting various materials are effective in conditions of
single and multi-item small-scale production using the group method of cutting into blanks of arbitrary
geometric shape. When cutting sheet and rolled metal products in large-scale and mass production,
characterized by individual cutting into blanks of the same name, the created programs
have limited use. For automated cutting in such production conditions, it is necessary to adapt
existing systems and programs or create new ones using modern approaches and a new cutting
design scheme based on the use of a new cutting efficiency indicator with minimizing the cost of
manufactured products, conducting calculations for parts of the same group (by brand and thickness),
which will allow rational selection of waste for other parts of this group. To solve the problem,
a new model for optimizing guillotine cutting with minimizing metal costs and reducing the
cost of cutting products is proposed and discussed in the article. To implement automated cutting
design depending on the new resource-saving coefficient (RSC) and manage information about
detailed cutting of metal in the course of the research conducted by the authors, the database
«Cluster of parts «PROM-2013»» and the program «PROM-2013» were developed, allowing
assessing the efficiency of cutting according to RSC and choosing the best option. Using the example
of the «side panel» part, the effectiveness of the developed algorithm and the stages of automated
design of optimal cutting based on the RSC indicator with the formation of output documents
«material cutting cards» are shown

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Published
2023-10-23
Section
SECTION II. DATA ANALYSIS AND MODELING