New capability indices for measuring the performance of a multidimensional machining process
• We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the n...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Pan, Jeh-Nan [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
Geometric dimensioning and tolerancing |
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| Umfang: |
6 |
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| Übergeordnetes Werk: |
Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:41 ; year:2014 ; number:5 ; pages:2409-2414 ; extent:6 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.eswa.2013.09.039 |
|---|
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ELV022897569 |
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| 520 | |a • We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. | ||
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10.1016/j.eswa.2013.09.039 doi GBVA2014016000021.pica (DE-627)ELV022897569 (ELSEVIER)S0957-4174(13)00793-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 44.96 bkl Pan, Jeh-Nan verfasserin aut New capability indices for measuring the performance of a multidimensional machining process 2014 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. Geometric dimensioning and tolerancing Elsevier Multidimensional machining process Elsevier Positional tolerance Elsevier Process capability indices Elsevier Engineering tolerance Elsevier Li, Chung-I oth Enthalten in Elsevier Science Clements, Jody L. ELSEVIER Do denture processing techniques affect the mechanical properties of denture teeth? 2017 an international journal Amsterdam [u.a.] (DE-627)ELV000222070 volume:41 year:2014 number:5 pages:2409-2414 extent:6 https://doi.org/10.1016/j.eswa.2013.09.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.96 Zahnmedizin VZ AR 41 2014 5 2409-2414 6 045F 004 |
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10.1016/j.eswa.2013.09.039 doi GBVA2014016000021.pica (DE-627)ELV022897569 (ELSEVIER)S0957-4174(13)00793-8 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 44.96 bkl Pan, Jeh-Nan verfasserin aut New capability indices for measuring the performance of a multidimensional machining process 2014 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. Geometric dimensioning and tolerancing Elsevier Multidimensional machining process Elsevier Positional tolerance Elsevier Process capability indices Elsevier Engineering tolerance Elsevier Li, Chung-I oth Enthalten in Elsevier Science Clements, Jody L. ELSEVIER Do denture processing techniques affect the mechanical properties of denture teeth? 2017 an international journal Amsterdam [u.a.] (DE-627)ELV000222070 volume:41 year:2014 number:5 pages:2409-2414 extent:6 https://doi.org/10.1016/j.eswa.2013.09.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.96 Zahnmedizin VZ AR 41 2014 5 2409-2414 6 045F 004 |
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• We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. |
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• We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. |
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• We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV022897569</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623165044.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.eswa.2013.09.039</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014016000021.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV022897569</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0957-4174(13)00793-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.96</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pan, Jeh-Nan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">New capability indices for measuring the performance of a multidimensional machining process</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">6</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• We propose three novel capability indices for multidimensional machining processes. • Consider the variances of machining results on different directions may not be equal. • The statistical properties of the point estimators for the new indices are derived. • The simulation results show that the new indices outperform the predecessors. • Two numerical examples further demonstrate the usefulness of our proposed indices.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Geometric dimensioning and tolerancing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multidimensional machining process</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Positional tolerance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Process capability indices</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Engineering tolerance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Chung-I</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Clements, Jody L. 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