Investigation on Stone Machining Performance Using Force and Specific Energy
Author(s) -
S. Turchetta,
Wilma Polini,
I.S. Buyuksagis
Publication year - 2009
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2009/175817
Subject(s) - machining , chip formation , chip , energy (signal processing) , process (computing) , selection (genetic algorithm) , mechanical engineering , cutting tool , specific energy , computer science , engineering , tool wear , mathematics , artificial intelligence , statistics , telecommunications , operating system , physics , quantum mechanics
Cutting force and energy are often used as parameters for monitoring the stone cutting process. Empirical models are required to guide the selection of the cutting conditions. This paper shows a simple empirical model to predict the variation of the cutting energy. It puts into relationship the cutting force and the cutting energy with the idealized chip thickness. It has been tested on six different kinds of stone. The models can be used to guide the selection of cutting conditions. The chip generation and removal process has been quantified with the intention of assisting both the toolmaker and the stonemason in optimizing the tool composition and cutting process parameters, respectively
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom