質(zhì)量管理相關(guān)知識(shí)簡(jiǎn)介(英文版)-閱讀頁(yè)
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【正文】 un at 5 levels. ? Pro: a) Able to estimate all linear effects, and selected quadratic effects and 2factor interactions. b) Can be builtup from a 2kq screening design, by adding axial points. ? Con: a) Best suited for quantitative factors. b) Some axial points may be in nondesirable conditions. 26 Central Composite (BoxWilson Design) Stat ? DOE ? Response Surface ? Create Response Surface Design (2) (3) (1) 27 Comparison of 3Level Design ? Numbers in parenthesis = the number of replicated center points. ? For CCD, k21n4n fc ???Scen a ri o 3k F a c to r i a l Bo x Beh nk en CCDk = 3w ith no in t e r ac t ion s 2 7 ( 1) = 28 15 ( 3) = 1 8 13 ( 3) = 1 6k = 4w ith 3 2 f ac t o r in t e r a c t ion s 8 1 ( 1) = 82 27 ( 3) = 3 0 20 ( 4) = 2 4k = 5w ith 1 2 f ac t o r in t e r a c t ion 24 3 ( 1) = 244 46 ( 6) = 5 2 20 ( 2) = 2 2k = 5w ith all 2 f ac t or in t e r ac t ion s 24 3 ( 1) = 244 46 ( 6) = 5 2 33 ( 7) = 4 0k = 7w ith 7 2 f ac t o r in t e r a c t ion s218 7 ( 1) = 2 188 62 ( 6) = 6 8 33 ( 3) = 3 6Source : Understanding Industrial Designed Experiments – Stephen R Schmidt Robert G Launsby 28 Contour/Surface Plots Stat ? DOE ? Response Surface ? Contour/Surface (Wireframe) Plots 1 8 01 7 57 3 . 57 4 . 5T e m p e r a t u r e8 07 5 . 57 6 . 57 7 . 57 8 . 57 9 . 58 0 . 58 51 7 09 0Y i e l dT i m eS u r f a c e P l o t f o r Y i e l d7 5 7 6 7 7 7 8 7 9 8 0 9 08 58 01 8 01 7 51 7 0T i m eTemperatureC o n t o u r P l o t f o r Y i e l d29 End of Presentation Rev 1: 17 July 02 謝謝觀看 /歡迎下載 BY FAITH I MEAN A VISION OF GOOD ONE CHERISHES AND THE ENTHUSIASM THAT PUSHES ONE TO SEEK ITS FULFILLMENT REGARDLESS OF OBSTACLES. BY FAITH I BY FAIT
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