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Title:Modelno podprt sistem za dinamično nastavljanje rezalnih parametrov pri postopku frezanja
Authors:ID Čuš, Franc (Author)
ID Župerl, Uroš (Author)
ID Kiker, Edvard (Author)
Files:URL http://www.dlib.si/details/URN:NBN:SI:doc-WEBK4GB8
 
Language:Slovenian
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:V prispevku je predstavljen modelno podprt mehanizem vodenja, ki z obvladovanjem rezalnih sil zagotavlja stalno kakovost obdelane površine pri postopku oblikovnega frezanja. Sistem z dinamično prilagajanje podajanja in vrtljajev obvladuje hrapavost površine ter rezalne sile na frezalu. Namen izdelave predlaganega mehanizma je poiskati omejitve taksnega načina vodenja, ki s prilagajanjem rezalnih parametrov ohranja stalno rezalno silo. Modelno podprt sistem vodenja je izdelan z razvojno metodo genetskega programiranja (GP). Za določitev empirične povezave med kakovostjo površine in rezalno silo je izdelan načrt preizkusov. Pri vnaprej definirani globini rezanja je preizkusno raziskan vpliv obdelovalnega materiala in rezalnih parametrov (podajanje, globina rezanja) na omenjeno povezavo. Razvojna metoda GP je uporabljena za izpeljavo izkustvenih povezav med kakovostjo površine in rezalno silo pri obdelavi jekla. Te povezave se nato uporabijo pri izdelavi modelno podprtega sistema za dinamično nastavljanje rezalnih parametrov (SDNRP), v katerem se s krmiljenjem rezalnih sil dviga zahtevana kakovost površine. Rezultati zagotovijo načine za povečanje učinkovitosti postopka z izboljšanjem kakovosti površine, zmanjšanjem posledic spremenljivosti postopka in zmanjšanjem stroškov napak pri opravilih končne obdelave.
Keywords:končno frezanje, rezalni parametri, genetsko programiranje, sistemi vodenja, modelno podprti sistemi
Publisher:Association of Mechanical Engineers and Technicians of Slovenia et al.
Year of publishing:2007
Number of pages:str. 524-540
Numbering:Letn. 53, št. 9
PID:20.500.12556/DKUM-52762 New window
UDC:621.914
ISSN on article:0039-2480
COBISS.SI-ID:10272283 New window
NUK URN:URN:SI:UM:DK:RCBXDIIH
Publication date in DKUM:10.07.2015
Views:1539
Downloads:72
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.]
ISSN:0039-2480
COBISS.SI-ID:762116 New window

Secondary language

Language:English
Title:A model-based system for the dynamic adjustment of cutting parameters during a milling process
Abstract:This paper presents a model-based mechanism of control ensuring the constant quality of the surface finish by controlling the cutting forces during the end-milling process. Using the dynamic adaptation of feeding and speed the system controls the surface roughness and the cutting forces on the milling cutter. The purpose of developing such a mechanism is to find the limitations of this type of control, which maintains a constant cutting force by adapting the cutting parameters. This model-based system of control was developed by the evolutionary method of genetic programming (GP). A drawing of experiments was made in order to determine the empirical correlations between the quality of the surface finish and the cutting force. With the depth of cutting defined in advance the influence of the workpiece material and cutting parameters (feeding, cutting depth) on the above mentioned correlation has been experimentally researched. The evolution genetic programming method (GP) was applied to derive an empirical relationship for the surface finish and the cutting force values for steel materials. These relationships were applied to develop the proposed evolution simulation model in which the cutting force is adjusted to improve the required surface quality for the end-milling process. The results provide a means for greater efficiency by improving the surface quality, minimizing the effect of the process variability and reducing the error cost during finishing operations.
Keywords:end-milling, cutting parameters, genetic programming, model-based control


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