Nanofinishing of flat workpieces using rotational–magnetorheological abrasive flow finishing (R-MRAFF) process View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-09

AUTHORS

Manas Das, V. K. Jain, P. S. Ghoshdastidar

ABSTRACT

A new finishing process named as “rotational–magnetorheological abrasive flow finishing (R-MRAFF)” has been proposed to enhance the finishing performance of MRAFF process. In this process, a rotation cum reciprocating motion is provided to the polishing medium by a rotating magnetic field and hydraulic unit. By intelligently controlling these two motions, a uniform smooth mirror-like finished surface with improved material removal rate and finishing rate (nanometer per cycle) is achieved for both stainless steel and brass workpieces. From the preliminary experiments, it is found that R-MRAFF process produces better results than MRAFF. Experiments have been planned using design of experiments technique. Analysis of variance is conducted to find out the contribution of each model term affecting percent improvement in surface finish. The optimum finishing conditions are identified from optimization study. The present study shows that the combinations of rotational speed of the magnet and its square term together have the highest contribution to the percentage improvement in surface roughness. Other significant parameters in the order of decreasing percent contribution to the change in surface roughness value are finishing cycles, extrusion pressure, and fluid composition. The best surface finish obtained on stainless steel and brass workpieces with R-MRAFF process are 110 and 50 nm, respectively. From the scanning electron micrographs and atomic force micrographs, it has been observed that the abrasive cutting marks generate cross-hatch pattern on the surface finished by R-MRAFF process. More... »

PAGES

405-420

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00170-011-3808-2

DOI

http://dx.doi.org/10.1007/s00170-011-3808-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011892638


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/2008/0910", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Manufacturing Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kanpur", 
          "id": "https://www.grid.ac/institutes/grid.417965.8", 
          "name": [
            "Indian Institute of Technology at Kanpur, Kanpur, Uttar Pradesh, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Das", 
        "givenName": "Manas", 
        "id": "sg:person.010305300113.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010305300113.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kanpur", 
          "id": "https://www.grid.ac/institutes/grid.417965.8", 
          "name": [
            "Indian Institute of Technology at Kanpur, Kanpur, Uttar Pradesh, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jain", 
        "givenName": "V. K.", 
        "id": "sg:person.010171773106.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010171773106.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Technology Kanpur", 
          "id": "https://www.grid.ac/institutes/grid.417965.8", 
          "name": [
            "Indian Institute of Technology at Kanpur, Kanpur, Uttar Pradesh, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghoshdastidar", 
        "givenName": "P. S.", 
        "id": "sg:person.014441672101.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014441672101.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0890-6955(99)00038-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013347729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-006-0682-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013879316", 
          "https://doi.org/10.1007/s00170-006-0682-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-006-0682-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013879316", 
          "https://doi.org/10.1007/s00170-006-0682-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-004-2180-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018388644", 
          "https://doi.org/10.1007/s00170-004-2180-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-004-2180-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018388644", 
          "https://doi.org/10.1007/s00170-004-2180-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10426910903367410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027815482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-7516(93)90049-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035418143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-7516(93)90049-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035418143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-7516(93)90048-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041646908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-7516(93)90048-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041646908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wear.2004.12.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046242968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijmachtools.2006.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053009586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1951786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062076305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.1951786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062076305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0217979296001288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062941522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijmtm.2008.016779", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067479922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijptech.2011.038109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067487814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511803789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098669355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00224065.1980.11980968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101183642"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-09", 
    "datePublishedReg": "2012-09-01", 
    "description": "A new finishing process named as \u201crotational\u2013magnetorheological abrasive flow finishing (R-MRAFF)\u201d has been proposed to enhance the finishing performance of MRAFF process. In this process, a rotation cum reciprocating motion is provided to the polishing medium by a rotating magnetic field and hydraulic unit. By intelligently controlling these two motions, a uniform smooth mirror-like finished surface with improved material removal rate and finishing rate (nanometer per cycle) is achieved for both stainless steel and brass workpieces. From the preliminary experiments, it is found that R-MRAFF process produces better results than MRAFF. Experiments have been planned using design of experiments technique. Analysis of variance is conducted to find out the contribution of each model term affecting percent improvement in surface finish. The optimum finishing conditions are identified from optimization study. The present study shows that the combinations of rotational speed of the magnet and its square term together have the highest contribution to the percentage improvement in surface roughness. Other significant parameters in the order of decreasing percent contribution to the change in surface roughness value are finishing cycles, extrusion pressure, and fluid composition. The best surface finish obtained on stainless steel and brass workpieces with R-MRAFF process are 110 and 50 nm, respectively. From the scanning electron micrographs and atomic force micrographs, it has been observed that the abrasive cutting marks generate cross-hatch pattern on the surface finished by R-MRAFF process.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00170-011-3808-2", 
    "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": "1-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "62"
      }
    ], 
    "name": "Nanofinishing of flat workpieces using rotational\u2013magnetorheological abrasive flow finishing (R-MRAFF) process", 
    "pagination": "405-420", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "38a9c37347c2eee0d724b8d012707e331505517674c92be568eb2b336408af17"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00170-011-3808-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011892638"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00170-011-3808-2", 
      "https://app.dimensions.ai/details/publication/pub.1011892638"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:51", 
    "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/v90/0000000001_0000000264/records_8664_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00170-011-3808-2"
  }
]
 

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/s00170-011-3808-2'

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/s00170-011-3808-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00170-011-3808-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00170-011-3808-2'


 

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

119 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00170-011-3808-2 schema:about anzsrc-for:09
2 anzsrc-for:0910
3 schema:author N5e8b249a8c9c400098f69a7b21e9c0e6
4 schema:citation sg:pub.10.1007/s00170-004-2180-x
5 sg:pub.10.1007/s00170-006-0682-4
6 https://doi.org/10.1016/0301-7516(93)90048-f
7 https://doi.org/10.1016/0301-7516(93)90049-g
8 https://doi.org/10.1016/j.ijmachtools.2006.07.009
9 https://doi.org/10.1016/j.wear.2004.12.038
10 https://doi.org/10.1016/s0890-6955(99)00038-3
11 https://doi.org/10.1017/cbo9780511803789
12 https://doi.org/10.1080/00224065.1980.11980968
13 https://doi.org/10.1080/10426910903367410
14 https://doi.org/10.1115/1.1951786
15 https://doi.org/10.1142/s0217979296001288
16 https://doi.org/10.1504/ijmtm.2008.016779
17 https://doi.org/10.1504/ijptech.2011.038109
18 schema:datePublished 2012-09
19 schema:datePublishedReg 2012-09-01
20 schema:description A new finishing process named as “rotational–magnetorheological abrasive flow finishing (R-MRAFF)” has been proposed to enhance the finishing performance of MRAFF process. In this process, a rotation cum reciprocating motion is provided to the polishing medium by a rotating magnetic field and hydraulic unit. By intelligently controlling these two motions, a uniform smooth mirror-like finished surface with improved material removal rate and finishing rate (nanometer per cycle) is achieved for both stainless steel and brass workpieces. From the preliminary experiments, it is found that R-MRAFF process produces better results than MRAFF. Experiments have been planned using design of experiments technique. Analysis of variance is conducted to find out the contribution of each model term affecting percent improvement in surface finish. The optimum finishing conditions are identified from optimization study. The present study shows that the combinations of rotational speed of the magnet and its square term together have the highest contribution to the percentage improvement in surface roughness. Other significant parameters in the order of decreasing percent contribution to the change in surface roughness value are finishing cycles, extrusion pressure, and fluid composition. The best surface finish obtained on stainless steel and brass workpieces with R-MRAFF process are 110 and 50 nm, respectively. From the scanning electron micrographs and atomic force micrographs, it has been observed that the abrasive cutting marks generate cross-hatch pattern on the surface finished by R-MRAFF process.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf Nc527c21304b4430f85164e023bc857e2
25 Nd828af05944e4171a1936d6c3b8623db
26 sg:journal.1043671
27 schema:name Nanofinishing of flat workpieces using rotational–magnetorheological abrasive flow finishing (R-MRAFF) process
28 schema:pagination 405-420
29 schema:productId N2698be11069449139a9a99749642afe6
30 N8d17c42dfc184636a2e72cbb32b48d31
31 Nf82fc380e4274b09b503e852e2d3acb4
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011892638
33 https://doi.org/10.1007/s00170-011-3808-2
34 schema:sdDatePublished 2019-04-10T15:51
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N6c9d31bebfe44663947f7266904cea7a
37 schema:url http://link.springer.com/10.1007%2Fs00170-011-3808-2
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N2698be11069449139a9a99749642afe6 schema:name doi
42 schema:value 10.1007/s00170-011-3808-2
43 rdf:type schema:PropertyValue
44 N5e8b249a8c9c400098f69a7b21e9c0e6 rdf:first sg:person.010305300113.25
45 rdf:rest N906e9dca2c2a485cbacc0b7805d60c70
46 N6c9d31bebfe44663947f7266904cea7a schema:name Springer Nature - SN SciGraph project
47 rdf:type schema:Organization
48 N8d17c42dfc184636a2e72cbb32b48d31 schema:name readcube_id
49 schema:value 38a9c37347c2eee0d724b8d012707e331505517674c92be568eb2b336408af17
50 rdf:type schema:PropertyValue
51 N906e9dca2c2a485cbacc0b7805d60c70 rdf:first sg:person.010171773106.06
52 rdf:rest Nfe0bb30b1f7a4d8ebfca6e1054ca80e8
53 Nc527c21304b4430f85164e023bc857e2 schema:issueNumber 1-4
54 rdf:type schema:PublicationIssue
55 Nd828af05944e4171a1936d6c3b8623db schema:volumeNumber 62
56 rdf:type schema:PublicationVolume
57 Nf82fc380e4274b09b503e852e2d3acb4 schema:name dimensions_id
58 schema:value pub.1011892638
59 rdf:type schema:PropertyValue
60 Nfe0bb30b1f7a4d8ebfca6e1054ca80e8 rdf:first sg:person.014441672101.48
61 rdf:rest rdf:nil
62 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
63 schema:name Engineering
64 rdf:type schema:DefinedTerm
65 anzsrc-for:0910 schema:inDefinedTermSet anzsrc-for:
66 schema:name Manufacturing Engineering
67 rdf:type schema:DefinedTerm
68 sg:journal.1043671 schema:issn 0268-3768
69 1433-3015
70 schema:name The International Journal of Advanced Manufacturing Technology
71 rdf:type schema:Periodical
72 sg:person.010171773106.06 schema:affiliation https://www.grid.ac/institutes/grid.417965.8
73 schema:familyName Jain
74 schema:givenName V. K.
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010171773106.06
76 rdf:type schema:Person
77 sg:person.010305300113.25 schema:affiliation https://www.grid.ac/institutes/grid.417965.8
78 schema:familyName Das
79 schema:givenName Manas
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010305300113.25
81 rdf:type schema:Person
82 sg:person.014441672101.48 schema:affiliation https://www.grid.ac/institutes/grid.417965.8
83 schema:familyName Ghoshdastidar
84 schema:givenName P. S.
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014441672101.48
86 rdf:type schema:Person
87 sg:pub.10.1007/s00170-004-2180-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018388644
88 https://doi.org/10.1007/s00170-004-2180-x
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/s00170-006-0682-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013879316
91 https://doi.org/10.1007/s00170-006-0682-4
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/0301-7516(93)90048-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1041646908
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0301-7516(93)90049-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1035418143
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.ijmachtools.2006.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053009586
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.wear.2004.12.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046242968
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/s0890-6955(99)00038-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013347729
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1017/cbo9780511803789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098669355
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1080/00224065.1980.11980968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101183642
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1080/10426910903367410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027815482
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1115/1.1951786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062076305
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1142/s0217979296001288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062941522
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1504/ijmtm.2008.016779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067479922
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1504/ijptech.2011.038109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067487814
116 rdf:type schema:CreativeWork
117 https://www.grid.ac/institutes/grid.417965.8 schema:alternateName Indian Institute of Technology Kanpur
118 schema:name Indian Institute of Technology at Kanpur, Kanpur, Uttar Pradesh, India
119 rdf:type schema:Organization
 




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


...