Instrumentation and control for precision grinding machines

Orton, P.A., 1990. Instrumentation and control for precision grinding machines. PhD, Nottingham Trent University.

10290164.pdf - Published version

Download (8MB) | Preview


This thesis examines the present methods of centreless bearing grinding, with a view to applying modern control methods in order to reduce the distribution of output size variations and improve the quality of surface finish.

Established models of the grinding process show that various important parameters describing the process can be derived, providing that the grinding power can be accurately monitored. Several alternative control strategies based on power monitoring are considered.

The drive systems of a typical grinding machine are modelled as they react through the non-linear grinding wheel/work interface. A simplified computer simulation of the process is demonstrated. Suitable methods of instrumentation are evaluated including the optical shaft encoder as a source of high resolution data for the estimation of drive shaft dynamics. A method is devised for on line parameter estimation of the drive system transfer functions. This enables the important grinding power to be estimated from shaft dynamics and also allows the monitoring of the drive system parameters. The optical shaft encoder is also assessed as the source of data for vibration detection.

A development computer with real time multi-tasking operating system software and specialised shaft encoder interfacing has been established as a basis for an expandable control and monitoring system. A plan for feedback control of the grinding, involving several separate control algorithms communicating with an expert system executive controller, is outlined.

Item Type: Thesis
Creators: Orton, P.A.
Date: 1990
ISBN: 9781369324136
Rights: This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without the author’s prior consent.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 10 Nov 2020 16:13
Last Modified: 05 Oct 2023 10:22

Actions (login required)

Edit View Edit View


Views per month over past year


Downloads per month over past year