VDA5测量过程能力.pdf

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1、 1 Quality Management in the Automotive Industry Capability of Measurement Processes Capability of Measuring Systems Capability of Measurement Processes Expanded Measurement Uncertainty Conformity Assessment 2nd completely revised edition 2010, updated July 2011 Verband der Automobilindustrie 5 Figu

2、res 3 Ch ap ter 3. 2 - Fi gu re 1 - P ag e 2 2 non-conformance zone non-conformance zone i n c r e a s i n g m e a s u r e m e n t u n c e r t a i n t y U M P work piece tolerance within the tolerance L outside the tolerance outside the tolerance specification phase (construction) verification phase

3、 (production) U conformance zone uncertainty uncertainty range range Figure 1: Uncertainty ranges and conformance or non-conformance zones 4 Ch ap ter 4. 1 - Fi gu re 5 - P ag e 2 6 Measurement Result EnvironmentEvaluationMethodMan GageMeasurement Procedure Qualification Accessibility Sensibility Me

4、asuring range Time/cost Stability Resolution Surface Shape Material Physical constitution Psychical constitution Statisticalmethod Computer application Measurement value composition Mathemat. models Pressure Temperature Humidity Soiling Care Calibration/ justification random measurement deviations n

5、ot recorded bias Setting uncertainty Discipline Motivation VoltageElectricity Vibrations Object Measuring points total Measuring points layout tactile touch contact-free Master Surface texture Type of master Shape/Position Measurement stabilityCapacity Mounting Fixture Location Stability Position Sh

6、ape Illumination Figure 5: Important influences on the uncertainty of measurement results 5 Chapter 4.7 - Figure 7 - Page 41 Figure 7: Flow chart for assessing the capability of measurement processes 6 Ch ap ter 4. 10 - F igu re 9 - P ag e 4 6 Figure 9: Display of the real C-value as a function of t

7、he observed C-value subject to QMP 0,00 0,20 0,40 0,60 0,80 1,00 1,20 1,40 1,60 1,80 2,00 2,20 1,72 2,40 2,60 2,80 3,00 3,20 3,40 3,60 3,80 4,00 r e a l C v a l u e 1,33 0,50 0,60 0,70 0,80 0,90 1,00 1,10 1,20 1,30 1,40 1,50 1,60 1,70 1,80 1,90 2,00 observed C value QMP 50% 40% 30% 20% 10% 1,67 7 Ch

8、apter 5.2 - Figure 10 - Page 51 1, 2, or 3 reference standards, repeat measurements %RE 5%TOL Measurement System Capability yes minimum 3 reference standards, repeat measurements Use measurement system with a sufficiently high resolution yes maxEVR giu s=from ANOVA:u EVR (pure error deviation) max 3

9、iBi Biu = MS MSU k u= 2 100%MS MS UQ TOL = QMS QMS_maxMeasurement system capable Measurement system not capablenoyes from ANOVA: uLin (lack-of-fit deviation) MPE known and accepted? Prepare trial Linearity uLIN known? no no yes no max 2CALCAL i U u = max 2CALCAL i U u = Prepare trial document MPE -

10、_ max 2 100%MS MIN UMS MS UTOL Q = uMS see table 12 Figure 10: Measuring system capability analysis 8 Chapter 5.2.2.2 - Figure 15 - Page 62 Figure 15: Diagram of an analysis of variance 9 Chapter 5.2.2.2 - Figure 16 - Page 63 Figure 16: a.) Value chart of the residuals b.) Residuals plotted on a pro

11、bability plot c.) Residuals plotted on fitted values a.) b.) c.) 10 Chapter 5.3 - Figure 19 - Page 66 Measurement Process Capability Measurement system capable? Determination of uncertainty components not considered in the experiment Method B: i.e. uOBJ, uT no yes QMP QMP_max Determination of uncert

12、ainty components considered in the experiment Method A: uEVO, uAV, uGV, uIAi from ANOVA uSTAB (possibly uOBJ) 2 2 2 2 2 2 2 2 2 2 2 2 2 2,max , MP EVO AV GV STAB T OBJ IAi RES CAL EVR RE BI N T LIu u u uu u u u u u u u u u = + + + + + + + + + + MP MPU k u= MPMP UQ TOL 2 100%= Measurement process not

13、 capable no Measurement process capable yes Measurement system not capable - _ max 2 100%MP MIN UMP MP UTOL Q = Figure 19: Measurement process capability analysis 11 Ch ap ter 9. 3.1 - F igu re 23 - Pa ge 91 Figure 23: Value chart plotting all reference values and the calculated uncertainty range 12

14、 Annex B - Figure 24 - Page 98 Figure 24: Determining the standard uncertainty from temperature uT 13 Annex E - Figure - Page 108 ideal y = x real measured value0 b display 14 Annex E - Figure - Page 109 ideal y = x real measured value display 2. reinforcement 0 1. set zero point set gradient 15 Ann

15、ex E - Figure - Page 109 measured value0 L U ideal y = x real display 16 Annex F.1 - Figure - Page 111 17 Annex F.1 - Figure - Page 112 18 Annex F.1 - Figure - Page 113 19 Annex F.2 - Figure - Page 116 20 Annex F.4 - Figure - Page 125 21 An ne x F .5 - F igu re - Pa ge 12 7 22 Annex F.5 - Figure - P

16、age 129 23 Annex F.5 - Figure - Page 130 24 Annex F.6 - Figure - Page 134 25 Annex F.6 - Figure - Page 136 26 Annex F.6 - Figure - Page 138 27 Annex F.6 - Figure - Page 141 28 An ne x F .8 - F igu re - Pa ge 14 9 No. of repetitions Operator A Operator B Result Result Result Result mixed Result Result mixed 29 An ne x F .8 - F igu re - Pa ge 15 0 No. of repetitions Operator A Operator B Result Result Result Result mixed Result Result mixed 30 Annex F.9 - Figure - Page 151 Unsorted test results 31 Annex F.9 - Figure - Page 152 Sorted test results 32 An ne x F .9 - F igu re - Pa ge 15 3