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Title:Intelligent tool path generation for milling of free surfaces using neural networks
Authors:Balič, Jože (Author)
Korošec, Marjan (Author)
Files:URL http://dx.doi.org/10.1016/S0890-6955(02)00045-7
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:The presented paper has an intention to show how with the help of Artificial Neural Network (ANN), the prediction of milling tool-path strategy could be made in order to establish which milling path strategy or their sequence will show the best results (will be the most appropriate) at free surface machining, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. Configuration of used Neural Network (NN) is presented, and the whole procedure is shown on an example of mould, for producing light switches. The verification of machined surface quality, according to average mean roughness, Ra, is also being done, and compared with the NN predicted results
Keywords:neural network, CAD/CAM, CAPP, ICAM, milling strategy
Year of publishing:2002
ISSN on article:0890-6955
COBISS_ID:7318550 Link is opened in a new window
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Record is a part of a journal

Title:International journal of machine tools & manufacture
Shortened title:Int. j. mach. tools manuf.
COBISS.SI-ID:8907013 New window

Secondary language

Keywords:nevronske mreže, CAD/CAM, CAPP, ICAM, frezala, frezalna strategija


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