Matjaž Milfelner (Author), Franc Čuš (Author)

Abstract

V prispevku je predstavljen sistem za spremljanje in optimiranje postopka frezanja z oblikovnim krogelnim frezalom. Sistem zdruzuje različne metode in tehnologije, to so: evolucijske metode, tehnologija obdelave, merilna in nadzorna tehnologija, inteligentna postopkovna tehnologija s podporo ustrezne programske in strojne opreme. Sistem za spremljanje in optimiranje postopka frezanja zdruzuje sistem za spremljanje postopka frezanja in model optimiranja. Sistem za spremljanje postopka frezanja je namenjen spremljanju in zbiranju veličin odrezovalnega postopka z uporabo zaznaval in spremembo teh podatkov v numerične vrednosti, ki so izhodišče za optimiranje postopka frezanja z oblikovnim krogelnim frezalom. Z modelom optimiranja določamo rezalne parametre pri postopku frezanja na podlagi analitičnega modela rezalnih sil ter modela obstojnosti orodja z genetskim algoritmom. Sistem uporabimo za napovedovanje rezalnih sil, optimiranje rezalnih parametrov, zmanjšanje celotnega časa obdelave, povečanje natančnosti, zanesljivosti, produktivnosti in zmanjšanje stroskov obdelave.

Keywords

algoritmi genetski;frezala oblikovna krogelna;genetski algoritmi;odrezavanje;optimiranje;optimiranje odrezavanja;parametri rezanja;sile rezanja

Data

Language: Slovenian
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: Association of Mechanical Engineers and Technicians of Slovenia et al.
UDC: 621.914:519.85
COBISS: 7724315 Link will open in a new window
ISSN: 0039-2480
Parent publication: Strojniški vestnik
Views: 674
Downloads: 43
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: ǂA ǂsystem for monitoring and optimizing the milling process with genetic algorithms
Secondary abstract: This paper presents a system for monitoring and optimizing the ball-end milling process. The system combines different methods and technologies, like evolutionary methods, manufacturing technology, measuring and control technology and intelligent process technology with the appropriate hardware and software support. The system for monitoring and optimizing the ball-end milling process combines the process monitoring system of the ball-end milling process and the optimization model. The monitoring system is designed for monitoring and collecting the variables of the milling process by means of sensors and the transformation of those data into numerical values, which are the starting point for the optimization of the ball-end milling process. The optimization model is used for the optimization of the milling parameters with genetic algorithms. The optimization is based on the analytical cutting-force model and the tool-wear model. The developed methods can be usedfor the cutting-force estimation and the optimization of the cutting parameters. The integration of the proposed system will lead to a reduction inthe production costs and production time, flexibility in machining-parameter selection, and an improvement in product quality.
Secondary keywords: optimization;cutting forces;cutting parameters;ball-and mill;genetic algorithms;optimiranje odrezavanja;sile rezanja;parametri rezanja;frezala oblikovna krogelna;algoritmi genetski;
URN: URN:NBN:SI
Type (COBISS): Not categorized
Pages: str. 446-461
Volume: ǂLetn. ǂ50
Issue: ǂšt. ǂ10
Chronology: 2004
ID: 1744212