Multi response optimization of wire EDM operations using robust design of experiments View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-05

AUTHORS

R. Ramakrishnan, L. Karunamoorthy

ABSTRACT

In this present study a multi response optimization method using Taguchi’s robust design approach is proposed for wire electrical discharge machining (WEDM) operations. Experimentation was planned as per Taguchi’s L16 orthogonal array. Each experiment has been performed under different cutting conditions of pulse on time, wire tension, delay time, wire feed speed, and ignition current intensity. Three responses namely material removal rate, surface roughness, and wire wear ratio have been considered for each experiment. The machining parameters are optimized with the multi response characteristics of the material removal rate, surface roughness, and wire wear ratio. Multi response S/N (MRSN) ratio was applied to measure the performance characteristics deviating from the actual value. Analysis of variance (ANOVA) is employed to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally experimental confirmation was carried out to identify the effectiveness of this proposed method. A good improvement was obtained. More... »

PAGES

105-112

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00170-004-2496-6

DOI

http://dx.doi.org/10.1007/s00170-004-2496-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010398634


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Dept. of Mechanical Engineering, EVP Engineering College, 602 103, Chennai, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ramakrishnan", 
        "givenName": "R.", 
        "id": "sg:person.010500725655.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010500725655.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anna University, Chennai", 
          "id": "https://www.grid.ac/institutes/grid.252262.3", 
          "name": [
            "Dept. of Mechanical Engineering, Anna University, 600 025, Chennai, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karunamoorthy", 
        "givenName": "L.", 
        "id": "sg:person.015770166757.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015770166757.78"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0924-0136(99)00271-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003240659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)63279-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004424113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0890-6955(95)00019-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005148501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0924-0136(96)00033-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005517130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(98)00046-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010714946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(02)00057-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017379065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(00)00035-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021235836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-0114(00)00034-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023701448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0141-6359(97)00003-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027418812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00207549108948078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032162832"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(02)00158-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041075782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0890-6955(02)00158-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041075782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0007-8506(07)61190-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043693552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1475321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062070595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1475989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062070597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.2901953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062092677"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-05", 
    "datePublishedReg": "2006-05-01", 
    "description": "In this present study a multi response optimization method using Taguchi\u2019s robust design approach is proposed for wire electrical discharge machining (WEDM) operations. Experimentation was planned as per Taguchi\u2019s L16 orthogonal array. Each experiment has been performed under different cutting conditions of pulse on time, wire tension, delay time, wire feed speed, and ignition current intensity. Three responses namely material removal rate, surface roughness, and wire wear ratio have been considered for each experiment. The machining parameters are optimized with the multi response characteristics of the material removal rate, surface roughness, and wire wear ratio. Multi response S/N (MRSN) ratio was applied to measure the performance characteristics deviating from the actual value. Analysis of variance (ANOVA) is employed to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally experimental confirmation was carried out to identify the effectiveness of this proposed method. A good improvement was obtained.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00170-004-2496-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1043671", 
        "issn": [
          "0268-3768", 
          "1433-3015"
        ], 
        "name": "The International Journal of Advanced Manufacturing Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Multi response optimization of wire EDM operations using robust design of experiments", 
    "pagination": "105-112", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "318a4bceeef731204fba80683d52f86db77dadf62d621aaf7a98128926876a5a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00170-004-2496-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010398634"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00170-004-2496-6", 
      "https://app.dimensions.ai/details/publication/pub.1010398634"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:53", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000351_0000000351/records_43238_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00170-004-2496-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00170-004-2496-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00170-004-2496-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00170-004-2496-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00170-004-2496-6'


 

This table displays all metadata directly associated to this object as RDF triples.

115 TRIPLES      21 PREDICATES      42 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00170-004-2496-6 schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author N0bb18a45715249a3bced60d49cf33a0a
4 schema:citation https://doi.org/10.1016/0890-6955(95)00019-t
5 https://doi.org/10.1016/s0007-8506(07)61190-1
6 https://doi.org/10.1016/s0007-8506(07)63279-x
7 https://doi.org/10.1016/s0141-6359(97)00003-2
8 https://doi.org/10.1016/s0165-0114(00)00034-8
9 https://doi.org/10.1016/s0890-6955(00)00035-3
10 https://doi.org/10.1016/s0890-6955(02)00057-3
11 https://doi.org/10.1016/s0890-6955(02)00158-x
12 https://doi.org/10.1016/s0890-6955(98)00046-7
13 https://doi.org/10.1016/s0924-0136(96)00033-7
14 https://doi.org/10.1016/s0924-0136(99)00271-x
15 https://doi.org/10.1080/00207549108948078
16 https://doi.org/10.1115/1.1475321
17 https://doi.org/10.1115/1.1475989
18 https://doi.org/10.1115/1.2901953
19 schema:datePublished 2006-05
20 schema:datePublishedReg 2006-05-01
21 schema:description In this present study a multi response optimization method using Taguchi’s robust design approach is proposed for wire electrical discharge machining (WEDM) operations. Experimentation was planned as per Taguchi’s L16 orthogonal array. Each experiment has been performed under different cutting conditions of pulse on time, wire tension, delay time, wire feed speed, and ignition current intensity. Three responses namely material removal rate, surface roughness, and wire wear ratio have been considered for each experiment. The machining parameters are optimized with the multi response characteristics of the material removal rate, surface roughness, and wire wear ratio. Multi response S/N (MRSN) ratio was applied to measure the performance characteristics deviating from the actual value. Analysis of variance (ANOVA) is employed to identify the level of importance of the machining parameters on the multiple performance characteristics considered. Finally experimental confirmation was carried out to identify the effectiveness of this proposed method. A good improvement was obtained.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N541e7469ba344d03a25f3c6866819d9c
26 Ne50064e0dab8457e8685ba1cb63d5ffc
27 sg:journal.1043671
28 schema:name Multi response optimization of wire EDM operations using robust design of experiments
29 schema:pagination 105-112
30 schema:productId N06b71c710afa4c139df75c8d22a4d79e
31 N8f5005cc63944b068fa12ef9b9773573
32 Ne8c72c9a0b344327955c944efb044414
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010398634
34 https://doi.org/10.1007/s00170-004-2496-6
35 schema:sdDatePublished 2019-04-11T10:53
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N8fe7be4bbcc547789d0e9f7e3c2899c6
38 schema:url http://link.springer.com/10.1007/s00170-004-2496-6
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N06b71c710afa4c139df75c8d22a4d79e schema:name readcube_id
43 schema:value 318a4bceeef731204fba80683d52f86db77dadf62d621aaf7a98128926876a5a
44 rdf:type schema:PropertyValue
45 N0bb18a45715249a3bced60d49cf33a0a rdf:first sg:person.010500725655.13
46 rdf:rest Nd62923a8647d4617973a3ce77dc8f937
47 N541e7469ba344d03a25f3c6866819d9c schema:volumeNumber 29
48 rdf:type schema:PublicationVolume
49 N8f5005cc63944b068fa12ef9b9773573 schema:name doi
50 schema:value 10.1007/s00170-004-2496-6
51 rdf:type schema:PropertyValue
52 N8fe7be4bbcc547789d0e9f7e3c2899c6 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 Nd62923a8647d4617973a3ce77dc8f937 rdf:first sg:person.015770166757.78
55 rdf:rest rdf:nil
56 Ne50064e0dab8457e8685ba1cb63d5ffc schema:issueNumber 1-2
57 rdf:type schema:PublicationIssue
58 Ne59084fad1d8482a81dce7d7c0a36a76 schema:name Dept. of Mechanical Engineering, EVP Engineering College, 602 103, Chennai, India
59 rdf:type schema:Organization
60 Ne8c72c9a0b344327955c944efb044414 schema:name dimensions_id
61 schema:value pub.1010398634
62 rdf:type schema:PropertyValue
63 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
64 schema:name Mathematical Sciences
65 rdf:type schema:DefinedTerm
66 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
67 schema:name Numerical and Computational Mathematics
68 rdf:type schema:DefinedTerm
69 sg:journal.1043671 schema:issn 0268-3768
70 1433-3015
71 schema:name The International Journal of Advanced Manufacturing Technology
72 rdf:type schema:Periodical
73 sg:person.010500725655.13 schema:affiliation Ne59084fad1d8482a81dce7d7c0a36a76
74 schema:familyName Ramakrishnan
75 schema:givenName R.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010500725655.13
77 rdf:type schema:Person
78 sg:person.015770166757.78 schema:affiliation https://www.grid.ac/institutes/grid.252262.3
79 schema:familyName Karunamoorthy
80 schema:givenName L.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015770166757.78
82 rdf:type schema:Person
83 https://doi.org/10.1016/0890-6955(95)00019-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1005148501
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/s0007-8506(07)61190-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043693552
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1016/s0007-8506(07)63279-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004424113
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1016/s0141-6359(97)00003-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027418812
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/s0165-0114(00)00034-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023701448
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/s0890-6955(00)00035-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021235836
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/s0890-6955(02)00057-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017379065
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/s0890-6955(02)00158-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041075782
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/s0890-6955(98)00046-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010714946
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/s0924-0136(96)00033-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005517130
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0924-0136(99)00271-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003240659
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1080/00207549108948078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032162832
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1115/1.1475321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062070595
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1115/1.1475989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062070597
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1115/1.2901953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062092677
112 rdf:type schema:CreativeWork
113 https://www.grid.ac/institutes/grid.252262.3 schema:alternateName Anna University, Chennai
114 schema:name Dept. of Mechanical Engineering, Anna University, 600 025, Chennai, India
115 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...