| 게이지 반복성 및 재현성 ((@{gageMethod})) 보고서 | 판정 | @{judgement} |
|---|
| 부품번호 & 공정명: @{info.sampleName} | 게이지 명: @{info.mName} | 날짜: @{date} | 판정 기준 | 구분 | %R&R | 안정/선형성 | ndc((변별력)) |
| 특성: @{info.attribute} | 게이지 번호: @{info.mNumber} | 분석자: @{info.estimatorName} | 적합 | 10% 미만 | 5 % 미만 | 5 초과 | |
| 사양: @{info.spec} | 게이지 형태: @{info.mUnit} | 신뢰수준: @{info.confidenceLevel} | 조건부 | 10 ~30 % | 5 ~10 % | ||
| 데이터 시트로부터: $\overline {\overline R} = @{results.variable.rbarMean}$ | $\overline {X} _{DIFF} = @{results.variable.xbarDiff}$ | ${R}_{p} = @{results.variable.rp}$ | 부적합 | 30 %초과 | 10 %초과 | 5 이하 |
| 측정단위 분석 | %연구공정대비(({SV})) | %공차대비((Tolerance)) |
|---|---|---|
| 반복성 & 재현성 (({GRR})) | ||
|
\begin{align} {GRR} & = \sqrt{{EV}^2 + {AV} ^2 } \\ & = \sqrt{({@{results.stdDev.repeatability}}^2 + {@{results.stdDev.reproductibility}}^2 )} \\ & = @{results.stdDev.totalGageRnR}\end{align} |
\begin{align} {\%GRR} & = 100 \left[ {GRR} / {SV} \right] \\ & = 100 \left[ {@{results.stdDev.totalGageRnR}} / {@{results.stdDev.totalVariation}} \right] \\& \approx \ @{svGageRnR} \%\end{align} |
\begin{align} {\%GRR} & = 100 \times CL \left[ {GRR} / 공차 \right] \\ & = 100 \times {@{confidenceLevel}} \left[ {@{results.stdDev.totalGageRnR}} / {@{info.tolerance}} \right] \\& \approx \ @{tolerGageRnR} \%\end{align} |
| 반복성-측정기 변동 (({EV})) | ||
|
\begin{align} {EV} & = \overline {\overline R} \times K_1 \\ & = {@{results.variable.rbarMean}} \times {@{results.variable.k1}} \\& = @{results.stdDev.repeatability}\end{align} |
\begin{align} {\%EV} & = 100 \left[ {EV} / {SV} \right] \\ & = 100 \left[ {@{results.stdDev.repeatability}} / {@{results.stdDev.totalVariation}} \right] \\& \approx \ @{svEV} \%\end{align} |
\begin{align} {\%EV} & = 100 \times CL \left[ {EV} / 공차 \right] \\ & = 100 \times {@{confidenceLevel}} \left[ {@{results.stdDev.repeatability}} / {@{info.tolerance}} \right] \\& \approx \ @{tolerEV} \%\end{align} |
| 재현성-측정자 변동 (({AV})) | ||
|
\begin{align} {AV} & = \sqrt{( \overline {X} _{DIFF} \times K_2) ^2 - ({EV}^2 / (nr))} \\ & = \sqrt{( {@{results.variable.xbarDiff}} \times {@{results.variable.k2}}) ^2 - ({@{results.stdDev.repeatability}}^2 / ({@{prevPageData.partNumbers.Count}} \times {@{prevPageData.repeat}}))} \\ & = @{results.stdDev.reproductibility}\end{align} $n=$ 부품수 $r=$ 반복수 |
\begin{align} {\%AV} & = 100 \left[ {AV} / {SV} \right] \\ & = 100 \left[ {@{results.stdDev.reproductibility}} / {@{results.stdDev.totalVariation}} \right] \\& \approx \ @{svAV} \%\end{align} |
\begin{align} {\%AV} & = 100 \times CL \left[ {AV} / 공차 \right] \\ & = 100 \times {@{confidenceLevel}} \left[ {@{results.stdDev.reproductibility}} / {@{info.tolerance}} \right] \\& \approx \ @{tolerAV} \%\end{align} |
| 측정자 * 부품 변동 (({A \times PV})) | ||
|
\begin{align} {A \times PV} & = \sqrt{( {MS} _{A \times P} - {MS}_{e}) / {r}} \\ \end{align} $r=$ 반복수 |
||
| 부품 변동 (({PV})) | ||
|
\begin{align} {PV} & = {R}_{p} \times {K}_3\\ & = @{results.variable.rp} \times @{results.variable.k3} \\& = @{results.stdDev.partToPart}\end{align} |
\begin{align} {\%PV} & = 100 \left[ {PV} / {SV} \right] \\ & = 100 \left[ {@{results.stdDev.partToPart}} / {@{results.stdDev.totalVariation}} \right] \\& \approx \ @{svPV} \%\end{align} |
\begin{align} {\%PV} & = 100 \times CL \left[ {PV} / {공차} \right] \\ & = 100 \times {@{confidenceLevel}} \left[ {@{results.stdDev.partToPart}} / {@{info.tolerance}} \right] \\& \approx \ @{tolerPV} \%\end{align} |
| 총 변동 (({TV})) | ||
|
\begin{align} {TV} & = \sqrt{{GRR}^2 + {PV} ^2 } \\ & = \sqrt{({@{results.stdDev.totalGageRnR}}^2 + {@{results.stdDev.partToPart}}^2 )} \\& = @{results.stdDev.totalVariation}\end{align} |
\begin{align} {ndc} & = 1.41 \left( {PV} / {GRR} \right) \\ & = 1.41 \left( {@{results.stdDev.partToPart}} / {@{results.stdDev.totalGageRnR}} \right) \\& = @{ndcVal} \approx @{ndc} \\\end{align} |
| 결론 | @{conclusion} |
|---|