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dc.creatorKokotović, Branko
dc.creatorŽivanović, Saša
dc.date.accessioned2023-03-02T07:04:24Z
dc.date.available2023-03-02T07:04:24Z
dc.date.issued2017
dc.identifier.isbn978-99938-39
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/4884
dc.description.abstractThis paper deals with specific presentation of wokpiece volume and with functions for manipulating them in order to extract necessary data for various functions in virtual manufacturing environment. Basic idea was to use standard STL output of created model of blank material and convert to Z-map model. Functions for simulation of material removal process and extracting of geometry of instant tool immersion conditions are developed in Matlab environment. Exacting of engaging (tool immersion) map along discretized tool path is of great importance for application of model for instant cutting forces, based on simulation of discetized cutting geometry of the tool. Such simulation algorithm provides a solid base for prediction of cutting forces along tool path and for optimization of NC part program via feedrate scheduling. Presented methodology is tested in milling operations for machining of planar contours with flat end-mills, and some illustrative results are shown.sr
dc.language.isoensr
dc.publisherUniversity of Banjaluka, Faculty of Mechanical Engineeringsr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35022/RS//sr
dc.rightsopenAccesssr
dc.sourceProceedings of the 13th International Conference on Accomplisments in Electrical and Mechanical Engineering and Information Technology DEMI 2017sr
dc.subjectmachining simulationsr
dc.subjectCAD/CAMsr
dc.subjectmillingsr
dc.subjectNC program optimizationsr
dc.subjectZ/mapsr
dc.titleFunctions for processing of wokpiece CAD model for prediction and optimization of milling processsr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.citation.epage138
dc.citation.rankM33
dc.citation.spage133
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/11820/Kokotovic_DEMI_2017.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_4884
dc.type.versionpublishedVersionsr


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