Title: Development of a tool life prediction model for plaster machining

Authors: Timothy J. Coole, Jose Filipe C.P. Antunes Simoes, Antonio R. Pires, David G. Cheshire

Addresses: Faculty of Technology, Buckinghamshire New University, Buckinghamshire HP11 2JZ, UK. ' Escola Superior de Tecnologia de Setubal, Instituto Politecnico de Setubal, 2910-761 Setubal, Portugal. ' Escola Superior de Tecnologia de Setubal, Instituto Politecnico de Setubal, 2910-761 Setubal, Portugal. ' School of Engineering and Advanced Technologies, Staffordshire University, Staffordshire ST4 2DE, UK

Abstract: This paper reviews the developments of the ongoing research at the Staffordshire University into the application of Computer Numerical Control (CNC) machining techniques to produce plaster moulds and prototypes. The experimental work was carried out on plaster using conventional cutting tools (slot-mills), using a six-axis anthropomorphic robot. Based on the tool wear (Flank Wear – VB) measurements, an analysis of the cutting tool failure was undertaken. This work had comprised of three phases. Initially, an experimental screening was carried out in order to identify the major important criteria regarding the cutting tool wear problem. The second phase corresponded to the development of a tool life prediction model for the machining of the plaster material. The calculations were carried out using the response surface methodology and the 23 factorial design. The experimental results showed that the cutting speed is the most significant factor to the tool wear process. Finally, results developed from a theoretical analysis with the tool life prediction model were compared with the experimental results. This test demonstrates the validity of the theoretical analysis and showed how the optimisation process can be performed using this methodology.

Keywords: plaster machining; tool life prediction; CNC machining; plaster moulds; anthropomorphic robots; robot machining; tool wear; wear prediction; cutting tools; tool failure; response surface methodology; RSM; factorial design; cutting speed; agile systems; optimisation.

DOI: 10.1504/IJASM.2007.015788

International Journal of Agile Systems and Management, 2007 Vol.2 No.2, pp.186 - 204

Available online: 15 Nov 2007 *

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