Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory
Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Appl...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Qiang Cheng [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Proceedings of the Institution of Mechanical Engineers / C - Los Angeles, Calif. [u.a.] : Sage, 1983, 229(2014), 6, Seite 1134 |
|---|---|
| Übergeordnetes Werk: |
volume:229 ; year:2014 ; number:6 ; pages:1134 |
| Links: |
|---|
| DOI / URN: |
10.1177/0954406214542491 |
|---|
| Katalog-ID: |
OLC1956549927 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1956549927 | ||
| 003 | DE-627 | ||
| 005 | 20220220183013.0 | ||
| 007 | tu | ||
| 008 | 160206s2014 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1177/0954406214542491 |2 doi | |
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1956549927 | ||
| 035 | |a (DE-599)GBVOLC1956549927 | ||
| 035 | |a (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 | ||
| 035 | |a (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |q DNB |
| 084 | |a 52.10 |2 bkl | ||
| 100 | 0 | |a Qiang Cheng |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| 264 | 1 | |c 2014 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. | ||
| 650 | 4 | |a Mechanical engineering | |
| 650 | 4 | |a Error analysis | |
| 650 | 4 | |a Geometry | |
| 650 | 4 | |a Machine tools | |
| 650 | 4 | |a Measurement errors | |
| 650 | 4 | |a Numerical controls | |
| 700 | 0 | |a Ziling Zhang |4 oth | |
| 700 | 0 | |a Guojun Zhang |4 oth | |
| 700 | 0 | |a Peihua Gu |4 oth | |
| 700 | 0 | |a Ligang Cai |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Proceedings of the Institution of Mechanical Engineers / C |d Los Angeles, Calif. [u.a.] : Sage, 1983 |g 229(2014), 6, Seite 1134 |w (DE-627)130863114 |w (DE-600)1030844-1 |w (DE-576)023106441 |x 0954-4062 |7 nnns |
| 773 | 1 | 8 | |g volume:229 |g year:2014 |g number:6 |g pages:1134 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1177/0954406214542491 |3 Volltext |
| 856 | 4 | 2 | |u http://search.proquest.com/docview/1679224520 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4700 | ||
| 936 | b | k | |a 52.10 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 229 |j 2014 |e 6 |h 1134 | ||
| author_variant |
q c qc |
|---|---|
| matchkey_str |
article:09544062:2014----::emtiacrcalctofrutaiccahntosaeosniiiyn |
| hierarchy_sort_str |
2014 |
| bklnumber |
52.10 |
| publishDate |
2014 |
| allfields |
10.1177/0954406214542491 doi PQ20160617 (DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet DE-627 ger DE-627 rakwb eng 620 DNB 52.10 bkl Qiang Cheng verfasserin aut Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls Ziling Zhang oth Guojun Zhang oth Peihua Gu oth Ligang Cai oth Enthalten in Proceedings of the Institution of Mechanical Engineers / C Los Angeles, Calif. [u.a.] : Sage, 1983 229(2014), 6, Seite 1134 (DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 0954-4062 nnns volume:229 year:2014 number:6 pages:1134 http://dx.doi.org/10.1177/0954406214542491 Volltext http://search.proquest.com/docview/1679224520 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 52.10 AVZ AR 229 2014 6 1134 |
| spelling |
10.1177/0954406214542491 doi PQ20160617 (DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet DE-627 ger DE-627 rakwb eng 620 DNB 52.10 bkl Qiang Cheng verfasserin aut Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls Ziling Zhang oth Guojun Zhang oth Peihua Gu oth Ligang Cai oth Enthalten in Proceedings of the Institution of Mechanical Engineers / C Los Angeles, Calif. [u.a.] : Sage, 1983 229(2014), 6, Seite 1134 (DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 0954-4062 nnns volume:229 year:2014 number:6 pages:1134 http://dx.doi.org/10.1177/0954406214542491 Volltext http://search.proquest.com/docview/1679224520 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 52.10 AVZ AR 229 2014 6 1134 |
| allfields_unstemmed |
10.1177/0954406214542491 doi PQ20160617 (DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet DE-627 ger DE-627 rakwb eng 620 DNB 52.10 bkl Qiang Cheng verfasserin aut Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls Ziling Zhang oth Guojun Zhang oth Peihua Gu oth Ligang Cai oth Enthalten in Proceedings of the Institution of Mechanical Engineers / C Los Angeles, Calif. [u.a.] : Sage, 1983 229(2014), 6, Seite 1134 (DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 0954-4062 nnns volume:229 year:2014 number:6 pages:1134 http://dx.doi.org/10.1177/0954406214542491 Volltext http://search.proquest.com/docview/1679224520 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 52.10 AVZ AR 229 2014 6 1134 |
| allfieldsGer |
10.1177/0954406214542491 doi PQ20160617 (DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet DE-627 ger DE-627 rakwb eng 620 DNB 52.10 bkl Qiang Cheng verfasserin aut Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls Ziling Zhang oth Guojun Zhang oth Peihua Gu oth Ligang Cai oth Enthalten in Proceedings of the Institution of Mechanical Engineers / C Los Angeles, Calif. [u.a.] : Sage, 1983 229(2014), 6, Seite 1134 (DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 0954-4062 nnns volume:229 year:2014 number:6 pages:1134 http://dx.doi.org/10.1177/0954406214542491 Volltext http://search.proquest.com/docview/1679224520 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 52.10 AVZ AR 229 2014 6 1134 |
| allfieldsSound |
10.1177/0954406214542491 doi PQ20160617 (DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet DE-627 ger DE-627 rakwb eng 620 DNB 52.10 bkl Qiang Cheng verfasserin aut Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls Ziling Zhang oth Guojun Zhang oth Peihua Gu oth Ligang Cai oth Enthalten in Proceedings of the Institution of Mechanical Engineers / C Los Angeles, Calif. [u.a.] : Sage, 1983 229(2014), 6, Seite 1134 (DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 0954-4062 nnns volume:229 year:2014 number:6 pages:1134 http://dx.doi.org/10.1177/0954406214542491 Volltext http://search.proquest.com/docview/1679224520 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 52.10 AVZ AR 229 2014 6 1134 |
| language |
English |
| source |
Enthalten in Proceedings of the Institution of Mechanical Engineers / C 229(2014), 6, Seite 1134 volume:229 year:2014 number:6 pages:1134 |
| sourceStr |
Enthalten in Proceedings of the Institution of Mechanical Engineers / C 229(2014), 6, Seite 1134 volume:229 year:2014 number:6 pages:1134 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Proceedings of the Institution of Mechanical Engineers / C |
| authorswithroles_txt_mv |
Qiang Cheng @@aut@@ Ziling Zhang @@oth@@ Guojun Zhang @@oth@@ Peihua Gu @@oth@@ Ligang Cai @@oth@@ |
| publishDateDaySort_date |
2014-01-01T00:00:00Z |
| hierarchy_top_id |
130863114 |
| dewey-sort |
3620 |
| id |
OLC1956549927 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1956549927</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220220183013.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2014 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1177/0954406214542491</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1956549927</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1956549927</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet</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="4"><subfield code="a">620</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.10</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Qiang Cheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mechanical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Error analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine tools</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Measurement errors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical controls</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ziling Zhang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guojun Zhang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Peihua Gu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ligang Cai</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Proceedings of the Institution of Mechanical Engineers / C</subfield><subfield code="d">Los Angeles, Calif. [u.a.] : Sage, 1983</subfield><subfield code="g">229(2014), 6, Seite 1134</subfield><subfield code="w">(DE-627)130863114</subfield><subfield code="w">(DE-600)1030844-1</subfield><subfield code="w">(DE-576)023106441</subfield><subfield code="x">0954-4062</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:229</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:1134</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1177/0954406214542491</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1679224520</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.10</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">229</subfield><subfield code="j">2014</subfield><subfield code="e">6</subfield><subfield code="h">1134</subfield></datafield></record></collection>
|
| author |
Qiang Cheng |
| spellingShingle |
Qiang Cheng ddc 620 bkl 52.10 misc Mechanical engineering misc Error analysis misc Geometry misc Machine tools misc Measurement errors misc Numerical controls Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| authorStr |
Qiang Cheng |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130863114 |
| format |
Article |
| dewey-ones |
620 - Engineering & allied operations |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0954-4062 |
| topic_title |
620 DNB 52.10 bkl Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory Mechanical engineering Error analysis Geometry Machine tools Measurement errors Numerical controls |
| topic |
ddc 620 bkl 52.10 misc Mechanical engineering misc Error analysis misc Geometry misc Machine tools misc Measurement errors misc Numerical controls |
| topic_unstemmed |
ddc 620 bkl 52.10 misc Mechanical engineering misc Error analysis misc Geometry misc Machine tools misc Measurement errors misc Numerical controls |
| topic_browse |
ddc 620 bkl 52.10 misc Mechanical engineering misc Error analysis misc Geometry misc Machine tools misc Measurement errors misc Numerical controls |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
z z zz g z gz p g pg l c lc |
| hierarchy_parent_title |
Proceedings of the Institution of Mechanical Engineers / C |
| hierarchy_parent_id |
130863114 |
| dewey-tens |
620 - Engineering |
| hierarchy_top_title |
Proceedings of the Institution of Mechanical Engineers / C |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130863114 (DE-600)1030844-1 (DE-576)023106441 |
| title |
Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| ctrlnum |
(DE-627)OLC1956549927 (DE-599)GBVOLC1956549927 (PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440 (KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet |
| title_full |
Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| author_sort |
Qiang Cheng |
| journal |
Proceedings of the Institution of Mechanical Engineers / C |
| journalStr |
Proceedings of the Institution of Mechanical Engineers / C |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2014 |
| contenttype_str_mv |
txt |
| container_start_page |
1134 |
| author_browse |
Qiang Cheng |
| container_volume |
229 |
| class |
620 DNB 52.10 bkl |
| format_se |
Aufsätze |
| author-letter |
Qiang Cheng |
| doi_str_mv |
10.1177/0954406214542491 |
| dewey-full |
620 |
| title_sort |
geometric accuracy allocation for multi-axis cnc machine tools based on sensitivity analysis and reliability theory |
| title_auth |
Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| abstract |
Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. |
| abstractGer |
Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. |
| abstract_unstemmed |
Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_62 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4700 |
| container_issue |
6 |
| title_short |
Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory |
| url |
http://dx.doi.org/10.1177/0954406214542491 http://search.proquest.com/docview/1679224520 |
| remote_bool |
false |
| author2 |
Ziling Zhang Guojun Zhang Peihua Gu Ligang Cai |
| author2Str |
Ziling Zhang Guojun Zhang Peihua Gu Ligang Cai |
| ppnlink |
130863114 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1177/0954406214542491 |
| up_date |
2024-07-03T21:00:04.778Z |
| _version_ |
1803593087481544704 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1956549927</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220220183013.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2014 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1177/0954406214542491</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1956549927</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1956549927</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2170-4655feadea9cdd6983c1867b51280fb84ccec55ef61c092eb850ba2cbec45a440</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0121116120140000229000601134geometricaccuracyallocationformultiaxiscncmachinet</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="4"><subfield code="a">620</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.10</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Qiang Cheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Machining accuracy of a machine tool is influenced by geometric errors produced by each part and component. Different errors have varying influence on the machining accuracy of a tool. The aim of this study is to optimize errors to get a desired performance for a numerical control machine tool. Applying multi-body system theory, a volumetric error model was constructed to track and compensate effects of errors during operation of the machine, and to relate the functional specifications on volumetric accuracy to the permissible errors on the joints and links of the machine. Error sensitivity analysis was used to identify the influence of different errors (especially the errors which have large influences) on volumetric error. Based on First Order and Second Moment theory, an error allocation approach was developed to optimize allocation of manufacturing and assembly tolerances along with specifying the operating conditions to determine the optimal level of these errors so that the cost of controlling them and the cost of failure to meet the specifications is minimized. The approach developed was implemented in software and an example of the geometric errors budgeting for a five-axis machine was discussed. It is identified that the different optimal standard deviations reflect the cost-weighted influences of the respective parameters in the equations of the functional requirements. This study suggests that it is possible to determine the coupling relationships between these errors and optimize the allowable error budgeting between these sources.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mechanical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Error analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine tools</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Measurement errors</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Numerical controls</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ziling Zhang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guojun Zhang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Peihua Gu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ligang Cai</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Proceedings of the Institution of Mechanical Engineers / C</subfield><subfield code="d">Los Angeles, Calif. [u.a.] : Sage, 1983</subfield><subfield code="g">229(2014), 6, Seite 1134</subfield><subfield code="w">(DE-627)130863114</subfield><subfield code="w">(DE-600)1030844-1</subfield><subfield code="w">(DE-576)023106441</subfield><subfield code="x">0954-4062</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:229</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:1134</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1177/0954406214542491</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1679224520</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.10</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">229</subfield><subfield code="j">2014</subfield><subfield code="e">6</subfield><subfield code="h">1134</subfield></datafield></record></collection>
|
| score |
7.4013443 |