Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/21712
Title: Automated cutting tool selection and cutting tool sequence optimisation for rotational parts
Authors: Oral, Ali
Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
Çakır, Mustafa Cemal
14044730900
Keywords: Computer science
Engineering
Robotics
Computer-aided process planning
Tool selection
Operation sequence
Tool sequence
Optimisation
Feature recognition
Turned components
System
Operations
Issue Date: Apr-2004
Publisher: Pergamon-Elsevier Science
Citation: Oral, A. ve Çakır, M.C. (2004). “Automated cutting tool selection and cutting tool sequence optimisation for rotational parts”. Robotics and Computer-integrated Manufacturing, 20(2), 127-141.
Abstract: The aim of this work is to define computer-aided optimum operation and tool sequences that are to be used in Generative Process Planning System developed for rotational parts. The software developed for this purpose has a modular structure. Cutting tools are selected automatically using the machinability data, workpiece feature information, machine tool data, workholding method and the set-up number. An optimum tool sequence is characterised by a minimum number of tool changes and minimum tool travel time. Tool and operation sequence for minimum tool change are optimised with a developed optimisation method that is based on "Rank Order Clustering".
URI: https://doi.org/10.1016/j.rcim.2003.10.006
https://www.sciencedirect.com/science/article/pii/S0736584503000978
http://hdl.handle.net/11452/21712
ISSN: 0736-5845
Appears in Collections:Scopus
Web of Science

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