dc.contributor.author |
Dasic, P |
en |
dc.contributor.author |
Natsis, A |
en |
dc.contributor.author |
Petropoulos, G |
en |
dc.date.accessioned |
2014-06-06T06:48:36Z |
|
dc.date.available |
2014-06-06T06:48:36Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.issn |
00392480 |
en |
dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/4203 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-49349104861&partnerID=40&md5=d69629b47ee70cedd99e290d7550853d |
en |
dc.subject |
Agricultural engineering |
en |
dc.subject |
Cutting tools |
en |
dc.subject |
Machining systems |
en |
dc.subject |
System reliability |
en |
dc.subject |
Tool wear |
en |
dc.subject.other |
Agricultural engineering |
en |
dc.subject.other |
Agricultural machinery |
en |
dc.subject.other |
Agriculture |
en |
dc.subject.other |
Alloys |
en |
dc.subject.other |
Boron |
en |
dc.subject.other |
Boron nitride |
en |
dc.subject.other |
Ceramic cutting tools |
en |
dc.subject.other |
Ceramic tools |
en |
dc.subject.other |
Cubic boron nitride |
en |
dc.subject.other |
Cutting |
en |
dc.subject.other |
Cutting tools |
en |
dc.subject.other |
Machine tools |
en |
dc.subject.other |
Machining |
en |
dc.subject.other |
Metal working tools |
en |
dc.subject.other |
Models |
en |
dc.subject.other |
Nitrides |
en |
dc.subject.other |
Nonmetals |
en |
dc.subject.other |
Quality assurance |
en |
dc.subject.other |
Reliability analysis |
en |
dc.subject.other |
Soils |
en |
dc.subject.other |
Technology |
en |
dc.subject.other |
Agricultural productions |
en |
dc.subject.other |
Comparative analysis |
en |
dc.subject.other |
Cubic boron nitride (c BN) |
en |
dc.subject.other |
Distribution models |
en |
dc.subject.other |
Experimental data |
en |
dc.subject.other |
Gaussian modeling |
en |
dc.subject.other |
Machining systems |
en |
dc.subject.other |
Mixed ceramic |
en |
dc.subject.other |
Optimization procedures |
en |
dc.subject.other |
Oretical |
en |
dc.subject.other |
Reliability functions |
en |
dc.subject.other |
Reliable performance |
en |
dc.subject.other |
Soil processing |
en |
dc.subject.other |
Steel alloying |
en |
dc.subject.other |
System reliability |
en |
dc.subject.other |
Tillage systems |
en |
dc.subject.other |
Tool materials |
en |
dc.subject.other |
Tool performance |
en |
dc.subject.other |
Tool wear |
en |
dc.subject.other |
Weak linking |
en |
dc.subject.other |
Working time |
en |
dc.subject.other |
Reliability |
en |
dc.title |
Models of reliability for cutting tools: Examples in manufacturing and agricultural engineering |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
Reliability of machining systems depends to a great extent on the reliability of cutting tool performance with the latter being the weak link due to wear. Soil processing systems have many in common with machining systems and a major problem related to use of tillage equipment is ploughshare wear, as it markedly affects tillage quality and agricultural production economy. In the present study a machining and a soil processing example will be given for the determination and modelling of the reliability function R(T): for turning of 20CrMo5 steel alloy using Cubic Boron Nitride (CBN) and mixed ceramic cutting tools, and in a tillage operation using a straight toothed harrow. In the machining case, through comparative analysis of the oretical distribution models, which fit closer the experimental data, the Gaussian model is selected to represent the reliability function for both tool materials considered. In the tillage example, by carrying out an optimization procedure based upon the reliability function R(T) of the tillage system, a particular tool tooth geometry was found that establishes the maximum tooth working time possible for a reliable performance. © 2008 Journal of Mechanical Engineering. All rights reserved. |
en |
heal.journalName |
Strojniski Vestnik/Journal of Mechanical Engineering |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.volume |
54 |
en |
dc.identifier.spage |
122 |
en |
dc.identifier.epage |
130 |
en |