게이지 반복성 및 재현성

@{gageMethod} 보고서

판정
@{judgement}
부품번호 & 공정명 @{info.sampleName} 게이지명 @{info.mName} 날짜 @{date}
특성 @{info.attribute} 게이지번호 @{info.mNumber} 분석자 @{info.estimatorName}
사양 @{info.spec} 게이지형태 @{info.mUnit} 신뢰수준 @{info.confidenceLevel}
데이터 시트로부터 $\overline {\overline R} = @{results.variable.rbarMean}$ $\overline {X} _{DIFF} = @{results.variable.xbarDiff}$ ${R}_{p} = @{results.variable.rp}$
판정기준 구분 %R&R 선형성 ndc((변별력))
적합 10% 미만 5% 미만 10 초과
조건부 10% ~ 30% 5 ~ 10% 5 ~10
부적합 30% 초과 10% 초과 5 미만
측정단위 분석 %연구공정대비(({SV})) %공차대비((Tolerance)) %기여
반복성 & 재현성 R&R \begin{align} {R\&R} & = \sqrt{{EV}^2 + {AV} ^2 } \\ & = \sqrt{({@{results.stdDev.repeatability}}^2 + {@{results.stdDev.reproductibility}}^2 )} \\ & = @{results.stdDev.totalGageRnR}\end{align} \begin{align} {\%R\&R} & = 100 \left[ {R\&R} / {SV} \right] \\ & = 100 \left[ {@{results.stdDev.totalGageRnR}} / {@{results.stdDev.totalVariation}} \right] \\& \approx \ @{svGageRnR} \%\end{align} \begin{align} {\%R\&R} & = 100 \times CL \left[ {R\&R} / 공차 \right] \\ & = 100 \times {@{confidenceLevel}} \left[ {@{results.stdDev.totalGageRnR}} / {@{info.tolerance}} \right] \\& \approx \ @{tolerGageRnR} \%\end{align} \begin{align}@{results.TotalGageRNR.VariacePercentage}\%\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} \begin{align}@{results.Repeatability.VariacePercentage}\%\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} \begin{align}@{results.Reproducibility.VariacePercentage}\%\end{align}
측정자x부품 변동 A x PV
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} \begin{align}@{results.PartToPart.VariacePercentage}\%\end{align}
총 변동 TV \begin{align} {TV} & = \sqrt{{R\&R}^2 + {PV} ^2 } \\ & = \sqrt{({@{results.stdDev.totalGageRnR}}^2 + {@{results.stdDev.partToPart}}^2 )} \\& = @{results.stdDev.totalVariation}\end{align} \begin{align} {ndc} & = 1.41 \left( {PV} / {R\&R} \right) \\ & = 1.41 \left( {@{results.stdDev.partToPart}} / {@{results.stdDev.totalGageRnR}} \right) \\& = @{ndcVal} \approx @{ndc} \\\end{align} \begin{align}@{results.TotalVariation.VariacePercentage}\%\end{align}
결론

@{conclusion}