Title :
Cutting force prediction for single point diamond tool-tip
Author :
Ayomoh, M.K.O. ; Abou-El-Hossein, K.A. ; Olufayo, O.A.
Author_Institution :
Mechatronics Engineering Department, Nelson Mandela Metropolitan University, 6001 Port Elizabeth, South Africa
Abstract :
This paper aims at investigating the cutting force at the tip of a single point diamond tool (SPDT). Results from five different experimental trials are presented herein. The modeling procedure adopted is predicated on total differentiation of a multivariate function and adaptation of a continuous non-linear finite series convergent scheme. Initial cutting experiments were carried out using ultra-high precision machine to diamond-turn units of single crystal silicon workpiece. Other peripheral components for signal monitoring and conditioning include a Kistler force sensor, analog-digital (AD) data acquisition system and a signal amplifier unit amongst others. The experimental cutting parameters includes: feed rate, depth of cut and cutting speed. The analytical investigation of the cutting force was progressively evaluated at intervals of 1mm along the tool length from the point of sensor insert to the tip. Results obtained from validation largely justifies the effectiveness of the proposed model.
Keywords :
Artificial neural networks; Control systems; Jacobian matrices; Mathematical model; Software packages; Wheels; Cutting force; force sensor; multivariate function; tool tip; ultra-high precision machining;
Conference_Titel :
Robotics and Mechatronics Conference (RobMech), 2013 6th
Conference_Location :
Durban
DOI :
10.1109/RoboMech.2013.6685503