https://m2.mtmt.hu/
hun
2024-03-29 14:14
JournalArticle
3162270
VALIDATED
true
0
2018-07-02T22:20:38.000+0000
false
3162270
2024-03-11T08:45:37.796+0000
2023-09-19T17:05:07.515+0000
2017-01-06T16:18:32.000+0000
true
10015181
Nagy
Eszter
/api/admin/10015181
Admin
true
10015181
2023-09-19T17:05:07.529+0000
2023-09-19T17:05:07.529+0000
2017-03-07T13:21:49.000+0000
true
10015181
Nagy
Eszter
/api/admin/10015181
Admin
true
10015181
2021-05-21T20:48:50.936+0000
true
10015181
Nagy
Eszter
/api/admin/10015181
Admin
true
10015181
true
false
true
24
24
/api/publicationtype/24
PublicationType
1
true
24
JournalArticle
true
10000059
Article
true
24
24
/api/publicationtype/24
PublicationType
1
true
24
JournalArticle
/api/subtype/10000059
Szakcikk
SubType
101
true
10000059
true
1
/api/category/1
Category
true
1
Patra, K
Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals
true
true
/api/journal/3752
REVIEWED
true
false
3752
false
3752
true
0141-6359
1873-2372
Journal
48
279
291
279
13
2017
Abstract Micro scale machining process monitoring is one of
the key issues in highly precision manufacturing. Monitoring
of machining operation not only reduces the need of expert
operators but also reduces the chances of unexpected tool
breakage which may damage the work piece. In the present
study, the tool wear of the micro drill and thrust force have
been studied during the peck drilling operation of AISI P20
tool steel workpiece. Variations of tool wear with drilled
hole number at different cutting conditions were
investigated. Similarly, the variations of thrust force
during different steps of peck drilling were investigated
with the increasing number of holes at different feed and
cutting speed values. Artificial neural network (ANN) model
was developed to fuse thrust force, cutting speed, spindle
speed and feed parameters to predict the drilled hole number.
It has been shown that the error of hole number prediction
using a neural network model is less than that using a
regression model. The prediction of drilled hole number for
new test data using ANN model is also in good agreement to
experimentally obtained drilled hole number.
2017
(Szalay Tibor; 2017.01.06. 17:17:35)
true
true
true
false
true
false
GREEN
GREEN
2024-03-11
true
https://eprints.sztaki.hu/9122
96
0
93
91
1
91
89
76
62
85
85
83
83
94
2
0
96
94
93
91
0
0
0
Folyóiratcikk
Journal Article
24
81
Könyvrészlet
Chapter in Book
25
10
Könyv
Book
23
0
Egyéb konferenciaközlemény
Conference paper
31
2
Egyéb konferenciakötet
Conference proceedings
32
0
Oltalmi formák
Protection forms
26
0
Disszertáció
Thesis
28
3
Egyéb
Miscellaneous
29
0
Alkotás
Achievement
22
0
Kutatási adat
Research data
33
0
Folyóiratcikk
Journal Article
24
0
0
0
Könyvrészlet
Chapter in Book
25
0
0
0
Könyv
Book
23
0
0
0
Egyéb konferenciaközlemény
Conference paper
31
0
0
0
Egyéb konferenciakötet
Conference proceedings
32
0
0
0
Oltalmi formák
Protection forms
26
0
0
0
Disszertáció
Thesis
28
0
0
0
Egyéb
Miscellaneous
29
0
0
0
Alkotás
Achievement
22
0
0
0
Kutatási adat
Research data
33
0
0
0
2017
0
1
1
1
1
2018
0
15
14
15
14
2019
0
15
15
15
15
2020
0
20
19
20
19
2021
0
14
14
14
14
2022
0
17
17
17
17
2023
0
14
14
14
14
Q1
false
10041567
false
false
false
2017-03-07T13:21:49.000+0000
2017-01-06T16:23:24.000+0000
Gyártástudomány és -technológia Tanszék (BME / GPK); Mérnöki és Üzleti Intelligencia Kutatólaboratórium (HRN SZTAKI)
2
15
2
5
0
true
Language
10002
/api/language/10002
Angol
English
true
2
true
PersonAuthorship
8667146
/api/authorship/8667146
1
0.2
true
false
true
Patra
K
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
25471033
true
PersonAuthorship
8667147
/api/authorship/8667147
2
0.2
false
false
Jha
AK
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
25471032
true
PersonAuthorship
8667148
/api/authorship/8667148
3
0.2
false
false
Author
10041567
/api/author/10041567
Szalay
Tibor
true
10041567
true
Szalay
T
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
25471031
true
PersonAuthorship
8667149
/api/authorship/8667149
4
0.2
false
false
Ranjan
J
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
25471030
true
PersonAuthorship
8667150
/api/authorship/8667150
5
0.2
false
true
Author
2149153
/api/author/2149153
Monostori
László
true
2149153
true
Monostori
L
true
false
false
AuthorshipType
1
/api/authorshiptype/1
0
true
0
true
false
25471029
true
PublicationIdentifier
1160094
/api/publicationidentifier/1160094
PAY
false
IDENTICAL
10.1016/j.precisioneng.2016.12.011
https://doi.org/10.1016/j.precisioneng.2016.12.011
false
1515412
true
PublicationIdentifier
1160095
/api/publicationidentifier/1160095
GREEN
false
NO
9122
https://eprints.sztaki.hu/9122
false
1590695
true
PublicationIdentifier
1160092
/api/publicationidentifier/1160092
false
IDENTICAL
000395607500029
https://www.webofscience.com/wos/woscc/full-record/000395607500029
false
1580569
true
PublicationIdentifier
1160093
/api/publicationidentifier/1160093
false
NO
85009446670
http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85009446670
false
1558207
true
Classification
11082
/api/classification/11082
true
true
Classification
11077
/api/classification/11077
true
true
Keyword
4002
/api/keyword/4002
true
4002
true
Keyword
1062432
/api/keyword/1062432
true
1062432
true
Keyword
1297224
/api/keyword/1297224
true
1297224
true
Keyword
1393592
/api/keyword/1393592
true
1393592
true
Keyword
1415210
/api/keyword/1415210
true
1415210
true
Keyword
1429214
/api/keyword/1429214
true
1429214
true
Keyword
1429215
/api/keyword/1429215
true
1429215
true
SjrRating
10971491
/api/sjrrating/10971491
40
0.24
journal
RatingType
10002
/api/ratingtype/10002
sjr
true
true
ClassificationExternal
2201
/api/classificationexternal/2201
true
2201
true
Q1
DIRECT
true
true
/api/publication/3162270
<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Patra, K ✉ </span> <span class="author-type"> </span> ; <span class="author-name" > Jha, AK </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10041567"> <a href="/gui2/?type=authors&mode=browse&sel=10041567" target="_blank">Szalay, T</a> </span> <span class="author-type"> </span> ; <span class="author-name" > Ranjan, J </span> <span class="author-type"> </span> ; <span class="author-name" mtid="2149153"> <a href="/gui2/?type=authors&mode=browse&sel=2149153" target="_blank">Monostori, L</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;3162270" mtid="3162270" target="_blank">Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals</a></div> <div class="pub-info"> <span class="journal-title">PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY</span> <span class="journal-volume">48</span> <span class="page"> pp. 279-291. , 13 p. </span> <span class="year">(2017)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1016/j.precisioneng.2016.12.011" target="_blank" href="https://doi.org/10.1016/j.precisioneng.2016.12.011"> DOI </a> </span> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:black" title="9122" target="_blank" href="https://eprints.sztaki.hu/9122"> SZTAKI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000395607500029" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000395607500029"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="85009446670" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85009446670"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:3162270 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Egyeztetett </span></span> <span class="pub-core">Forrás </span> <span class="pub-type">Folyóiratcikk (Szakcikk ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 96</span> | Független: 94 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 76 | Scopus jelölt: 62 | WoS/Scopus jelölt: 85 | DOI jelölt: 89 </div> </div> </div> </div><div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" >Patra K ✉ </span> ; <span class="author-name" >Jha AK </span> ; <span class="author-name" mtid="10041567"><a href="/gui2/?type=authors&mode=browse&sel=10041567" target="_blank">Szalay T (<span class="authorship-author-name">Szalay Tibor</span> <span class="authorAux-mtmt"> Gyártástechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Gépészmérnöki Kar">GPK</span>/Gyártástudomány és -technológia Tanszék</span> ; <span class="author-name" >Ranjan J </span> ; <span class="author-name" mtid="2149153"><a href="/gui2/?type=authors&mode=browse&sel=2149153" target="_blank">Monostori L (<span class="authorship-author-name">Monostori László</span> <span class="authorAux-mtmt"> Gyártási folyamatok automatizálása</span>) </a> </span> <span class="author-affil"><span title="MTA Számítástechnikai és Automatizálási Kutatóintézet">MTA SZTAKI</span>/Mérnöki és Üzleti Intelligencia Kutatólaboratórium</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse¶ms=publication;3162270" target="_blank">Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals</a></div> <div> <span class="journal-title">PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0141-6359">0141-6359</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1873-2372">1873-2372</a>)</span>: <span class="journal-volume">48</span> <span class="page"> pp 279-291 </span> <span class="year">(2017)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1016/j.precisioneng.2016.12.011" target="_blank" href="https://doi.org/10.1016/j.precisioneng.2016.12.011"> DOI </a> </span> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:black" title="9122" target="_blank" href="https://eprints.sztaki.hu/9122"> SZTAKI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000395607500029" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000395607500029"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="85009446670" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85009446670"> Scopus </a> </span> </span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 96</span> | Független: 94 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 76 | Scopus jelölt: 62 | WoS/Scopus jelölt: 85 | DOI jelölt: 89 </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 3162270</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="oldId">Régi azonosító: 3162270</span> | Forrás | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2023.09.19. 19:05 MTMT API (MTMT API user, admin) </div> </div></div>