An Intelligent Supervision System for Cylindrical Traverse Grinding

The paper presents a supervision system that uses techniques of artificial intelligence to monitor, control and optimise the traverse grinding operation. The system consists of two levels which act in parallel to produce parts satisfying the geometrical and surface finish requirements with maximum p...

Full description

Saved in:
Bibliographic Details
Published inCIRP annals Vol. 54; no. 1; pp. 305 - 308
Main Authors Kruszyński, B.W., Lajmert, P.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Oxford Elsevier Ltd 2005
Elsevier
Subjects
Applied sciences
Control
Cutting
Exact sciences and technology
Grinding
Mechanical engineering. Machine design
Metals. Metallurgy
Optimisation
Production techniques
Traverse grinding
Optimisation
Control
Traverse grinding
Productivity
Roughness
Machining
Rough surface
Cutting speed
Experimental study
Cylindrical grinding
Grinding
Grinding wheel
Wavy surface
Roundness
Ripple
Cutting tool
Artificial intelligence
Supervision
Intelligent system
Online AccessGet full text

Cover

More Information
Summary:The paper presents a supervision system that uses techniques of artificial intelligence to monitor, control and optimise the traverse grinding operation. The system consists of two levels which act in parallel to produce parts satisfying the geometrical and surface finish requirements with maximum possible productivity. The objective of the first optimisation level is to maximize the material removal rate, simultaneously satisfying restrictions on surface roughness, out-of-roundness and waviness errors and on grinding temperature. At the same time the second, geometrical control level is responsible for the removal of the initial shape error by stabilising the motion trajectory of the grinding wheel in relation to the part being ground. The performance of the supervision system was evaluated by extensive experiments to prove its effectiveness.
ISSN:0007-8506
DOI:10.1016/S0007-8506(07)60109-7