Abstract

In modern production, three-dimensional modeling of workpieces has become a logical stage in the development of the technological process. Engineering analysis, process design, CNC mill tool path design, final inspection of products and other aspects are done basing on 3D models and have become the norm in the manufacturing industry. This research aimed at deriving mathematical tools which could be used in the process of CAM software development and modernization. Structural and process related elements can be automatically recognized on the basis of a 3D model. English literature refers to such elements as features. A set of parameters necessary for the description of a pocket design feature characteristics was reviewed. Available process solutions for CNC machining of said feature were analyzed. Special attention was given to selection of the roughing and finishing mills, as well as roughing and finishing cut strategy development. A tool parameter selection algorithm was developed for CNC milling of a pocket feature.

Highlights

  • Today, rather high attention is given to the preparation of computer based manufacturing processes of new products

  • Process engineers have been provided with new design tools: First, the opportunity of 3D representation of product design

  • The process engineer has the opportunity to work with compiled features

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Summary

Introduction

Rather high attention is given to the preparation of computer based manufacturing processes of new products. Process engineers have been provided with new design tools: First, the opportunity of 3D representation of product design. An electronic part model is a document which contains the geometrical model of the part and requirements on manufacturing and inspection (including size tolerances, roughness requirements, etc.). A feature-based modular representation of part design. The process engineer has the opportunity to work with compiled features (holes, pockets, faces, walls, etc.). The current state model of the work piece which accounts for milled features can be used in preparations for a subsequent operation or transition; Thirdly, today's knowledge base may include proven decision-making algorithms for recognized features, including selection of tools and machining modes

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