| contributor author | Tai-Hung Yang | |
| contributor author | John Jackman | |
| date accessioned | 2017-05-09T00:02:58Z | |
| date available | 2017-05-09T00:02:58Z | |
| date copyright | February, 2000 | |
| date issued | 2000 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27355#262_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/124033 | |
| description abstract | Form error estimation is an essential step in the assessment of product geometry created through one or more manufacturing processes. We present a new method using spatial statistics to estimate form error. Using large sets of uniform sample points measured from five common machined surfaces, we compare the form error estimates using individual points and fitted surfaces obtained through spatial statistical methods. The results show that spatial statistics can provide more accurate estimates of form error under certain conditions. [S1087-1357(00)01701-9] | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Form Error Estimation Using Spatial Statistics | |
| type | Journal Paper | |
| journal volume | 122 | |
| journal issue | 1 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.538903 | |
| journal fristpage | 262 | |
| journal lastpage | 272 | |
| identifier eissn | 1528-8935 | |
| keywords | Errors | |
| tree | Journal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 001 | |
| contenttype | Fulltext | |
