izpis_h1_title_alt

Nevronske mreže za napovedovanje sile pri vrtanju
Polanecka, Ivana (Author), Korošec, Marjan (Author), Kopač, Janez (Author)

URLURL - Presentation file, Visit http://www.dlib.si/details/URN:NBN:SI:doc-1DL78GLI This link opens in a new window

Abstract
Nevronske mreže so orodje za pomoč pri napovedovanju, ki je uporabno na najrazličnejših področjih. Na podlagi podatkov iz nadzora postopka lahko napovedo lastnosti izdelka ze med samim izdelovalnim postopkom. Narava časovne dinamike postopkov je pri tem lahko zelo pestra - od zelo dinamične do navidezno ustaljene. Nas cilj je izdelati bazo podatkov za obdelovalni stroj. Na podlagi zbranih podatkov bo v prihodnje mogoče napovedovati rezalne sile in rezalni navor za nove materiale, ki jih bomo obdelovali z odrezovanjem. Z napovedanimi silami pa bo nenazadnje mogoče tudi napovedati obrabo orodij.

Language:Slovenian
Keywords:obdelovalni stroji, baze podatkov, sile vrtanja, napovedi, nevronske mreže
Work type:Not categorized (r6)
Tipology:1.03 - Short Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Year:2007
Publisher:Association of Mechanical Engineers and Technicians of Slovenia et al.
Number of pages:str. 771-783
Numbering:Letn. 53, št. 11
UDC:621.9:004.89
ISSN on article:0039-2480
COBISS.SI-ID:10332955 Link is opened in a new window
Views:656
Downloads:135
Metadata:XML RDF-CHPDL DC-XML DC-RDF
 
Average score:(0 votes)
Your score:Voting is allowed only to logged in users.
:
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Record is a part of a journal

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

Secondary language

Language:English
Title:Drilling-force forecasting using neural networks
Abstract:
Neural networks are a forecasting tool that can be applied in many fields. Process sensing and data acquisition, for example, can be used to improve both the machinability and product properties during the manufacturing process.The time dynamics of these processes may be anywhere from highly dynamic to quasi-stationary. Our goal was to create a machinability database. The collected data will provide a basis for forecasting the cutting forces and cutting torque for new materials in the future. The force forecasts will also allow tool-wear monitoring and prediction.

Keywords:machinability, databases, drilling forces, forecasting, neural network

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back