VDA Volume 16 Englisch Pictures

8/10/2019 VDA Volume 16 Englisch Pictures

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Source Legend:

1) Anodizing2)Powder coating (EPS)3)Wet painting4)Extrusion5) Injection moulding6)Galvanizing

7) Plasma process (evaporation, sputter, CVD, PVD)8) Over-moulding9) Polishing10) Assembly / packaging / handling11)Incoming material12)Plastic processing

13)Refined wood surfaces14) Application technology (gluing insert foils, embossing decorative foils)15)Metal die-casting16) Mechanical processing (grinding, polishing, deburring, drilling, milling, insertion, etc.)17)Laser lettering

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Decorative Surface ofAttachment & Functional Parts to theExterior and Interior of Automobiles16 Appendix to VDA Volume 162nd revised edition, 2008

No. 1: Offset

Data:

Definition: Misalignment where parts are structured (for example,by vulcanisation or over-moulding).

Process allocation: 5, 8, 12, 13, 15

Examples of permissible characteristic features:

Zone A: Visible and detectable by touch +/- 0.3 mm

Zone B: +/- 0.7 mm

No. 2: Burn marks

Data:

Definition: Matt / crumbly appearance to surface, caused bydendritic separation in the limit current area (referredto as "buds" when they are large).

Process allocation: 1, 6


Zone A: Refer to MTP sample(s)

Zone B: Refer to MTP sample(s)

No. 3: Dents

Data:

Definition: Flat bubble-like depressions, caused by high pressure.

Process allocation: 6, 8 -16


Zone A: Not acceptable if visible at a distance of > 800 mm

Zone B: Not acceptable if visible at a distance of > 1200 mm

No. 4a: Bubbles

Data:

Definition: Generally round, even protrusions (hollow inside).






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No. 8: Colour differences

Data:

Definition: Colour deviation on a surface by comparison with theneighbouring surface or reference sample. This resultsfrom :

(a) materials(b) process

(c) subjective impression : saturation; brightness; purity;level of sheen; depth; surface structure.

Process allocation: 2, 3, 6, 13


Zone A: Deviation refer to MTP sample(s)


No. 9: Swollen edges

Data:

Definition: A thickening of paint coatings (bulging) on edges ofcomponents, such as are caused by surface tensions.

The effect correlates primarily with the edge radiusand/or the position of the component during theprocess.




Zone B: Acceptable

No. 10: Flecks

Data:

Definition: Sharply delineated, local dulling of the surface, causedfor example, by dirt / corrosion in spots or larger areas,or drying flecks.

Process allocation: 1, 2, 3, 6, 7, 13


Zone A: Not acceptable

Zone B: Not acceptable

No. 11: Flash on tool split line

Data:

Definition: Flash which can occur where there is a mismatch

between parts of a tool or sliders (e.g., plastic residueson injection-moulded parts).Can also be caused by wear and overflows.

Process allocation: 5, 6, 13


Zone A: Max. +0.3 mm

Zone B: Max. +0.5 mm


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No. 12: Differences in sheen

Data:

Definition: The sheen (or gloss) differs from that of the (master)sample or specification figure on some areas or overcomplete surfaces.





No. 13: Flash / burrs

Data:

Definition: Sharp-edged projection of edge zones from earlierprocess (e.g., stamping burrs on cut edges; flash onplastic mouldings; paint grit).





No. 14: Grittiness

Data:

Definition: Visual (optical) effect which can occur by diffusereflection on interfaces between different structures(e.g., etched granularity).





No. 15: Hairline splits

Data:

Definition: Extremely fine lines of damage.



Zone A: Refer to MTP sample(s)Zone B: Refer to MTP sample(s)


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No. 16: Contact / gripping points

Data:

Definition: Small areas, usually as spots where paint / c oating ismissing (in an area not normally visible), caused bysuspension clamps, contact with painting frames, etc.).





No. 17: Scratches; grooves

Data:

Definition: Lines of damage, caused by inappropriatehandling.(e.g., when removing parts from the tool).


Examples of permissible characteristic features (longitudinal):

Zone A: L < 4mm, W < 0,5mmMax. 2 scratches within 300 mm

Zone B: L < 10mm, W < 0,7mmMax. 4 scratches within 200 mm

Examples of permissible characteristic features ( ransverse):


Zone B: Not acceptable

No. 18: Paint runs

Data:

Definition: Tracks of paint in the top coat or in an undercoat, onvertical surfaces (generally in the vicinity of grooves,rounded sections, folds or piercings).




Zone B: Acceptable

No. 19: Lens-like paint marks

Data:

Definition: Distortion in paint surface which can be seen but notfelt: paint runs / streaks i n the early stages.






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No. 20: Thin coating areas

Data:

Definition: Inadequate top coating (the substrate can be seenthrough the surface coating)


Examples of permissible characteristic features:Zone A: Not acceptable


No. 21: Macro-splits

Data:

Definition: Splits in the galvanic coating, caused by deformationor stresses in the component.


Examples of permissible characteristic features:Zone A: Refer to MTP sample(s)


No. 22: Pin-holes

Data:

Definition: Very small cratering (see No. 4b); also micro-pores.



Zone A: A frequency of max. 5 pin-holesover 4 cm

2permitted

Zone B: Pin-holes permitted

No. 23: Nickel patches

Data:

Definition: Yellowish places in the contact area and in areaswhere the current density is low.

Process allocation: 6





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No illustration available

No. 24: "Orange-peel" effect

Data:

Definition: A rough or wave-like appearance of a painted surfacewhich may contain a texture; a grained paint finish withthe structure of an orange peel.



Zone A: A fine structure is permitted refer to limit sample forseverity and surface area.

Zone B: A coarse structure is permitted refer to limit samplefor severity and surface area.

No. 25: Oxide lines

Data:

Definition: Identification :Streaks caused by oxide inclusions and/or oxide lines.

Description & effects :Pencil-like, white or grey lines in the direction in whichthe part was formed. The degree of visibility dependson the type and quantity of oxide inclusions.



Zone A: Not permitted if s ructures visible at a distance of > 800 mm.

Zone B: Not permitted if s ructures visible at a distance of > 1200 mm.

No. 26: Pimpling / inclusions

Data:Definition: Contamination within the surface, such as dust or fluff,

which protrudes in some areas through the coating orgrowths causing problems in the build-up of coats.

Process allocation: 1 -7, 15


Zone A: See Section 10.2

Zone B: See Section 10.2

No. 27: Pigmentation problems

Data:

Definition: Disorientation of pigments(e.g., metal flakes).






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No. 28: Various polishing defects

Data:

Definition: Collective category for defects not often encountered /which form a small percentage of defects

Stippling: Polygonal, flecked areas caused bymaterial residues which have been polished in.

Dull areas: These occur following electrolytic sheening andare caused by excessive local heating; alsosurfaces areas which have not been sufficientlypolished.

Holograms: Polishing defects with a 3-dimensional effect.These occur particularly with dark paint colours.

Polishing flecks: Restricted circular areas with a muchsmoother surface than the surroundings



Zone A: Not permitted if visible at a distance of > 800 mm.

Zone B: Not permitted if visible at a distance of > 1200 mm.

No. 28a: Stippling

Data:

Definition: Polygonal, flecked areas caused by materialresidues which have been polished in.

Process allocation:




No. 28b: Dull areas

Data:

Definition: These occur following electrolytic sheening and arecaused by excessive local heating; also surfaces areaswhich have not been sufficiently polished.

Process allocation:




No. 28c: Holograms

Data:

Definition: Polishing defects with a 3-dimensional effect. Theseoccur particularly with dark paint colours.

Process allocation:





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No. 28d: Polishing flecks

Data:

Definition: Restricted circular areas with a much smoothersurface than the surroundings.

Process allocation:



No. 29: Polishing "fish" / "comet tails"

Data:

Definition: Depressions in a s hape similar to that of a fish, causedduring the polishing process by a foreign body, a poreor other pre-conditioning from earlier processes, suchas grinding.



Zone A: D < 0.3 mm, W < 2.5 mm, L < 5 mmMax. 2 within a spacing of 400 mm

Zone B: D < 0.5 mm, W < 3 mm, L < 8 mmMax. 4 within a spacing of 300 mm

No. 30: Polishing streaks

Data:

Definition: Very fine, localised raising of visible ribs, caused bythe polishing process (incorrect polishing paste and /or disc was used).



Zone A: L < 60 mm, B < 0.5 mm,Max. 6 within a spacing of 300 mm

Zone B: L < 80 mm, B < 3 mm,Max. 10 within a spacing of 200 mm

No. 31: Pores

Data:

Definition: Small holes, visible with the naked eye, in the topcoating, which may penetrate to the base material inplaces.



Zone A: See Section 10.2

Zone B: See Section 10.2


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No. 32: Indications of seams / seam-welds

Data:

Definition: Identification:Traces of longitudinal seams (extrusion press marks)Traces of weld areas.

Descrip ion & effects:

Traces of (narrow) streaks, running in the direction in whichhe part was formed, where the area is seen as lighter ordarker than the surrounding material, depending on lightingconditions. They can also occur in association with sink-marksor step-marks. Indications of longitudinal seam / seam-weldsare caused by manufacturing processes and are unavoidable;however, the level of their appearance can be influenced.





No. 33: Scour marks

Data:

Definition: Flat, local roughing of the surface, generally seen asdifferences in levels of sheen.





No. 34: Step marks (linear traces of rolling)

Data:

Definition: Stripes, running parallel to the direction of thepressing / extrusion, over the length of the profile,generally in the form of steps , which are especiallyvisible after a coating process.



Zone A: Not acceptable if visible at > 800 mm.

Zone B: Not acceptable if visible at > 1200 mm.

No. 35: Striations

Data:

Definition: Liquation streaks with an electro-potentiostatic effect,caused by pre-treatment for anodising and resultingfrom liquation in the incoming material






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No. 36: Graininess

Data:

Definition: Slight graininess of a galvanised surface; comparablewith the "orange peel" appearance on painted surfaces




No. 37: Corrugations

Data:

Definition: ave-like, parallel marks on the surface of the panel or profile,at an angle to the direction of rolling or compression, whichcan be seen in special observation positions (e.g., looking inhe rear-view mirror, reflection in a longitudinal direction at a

very shallow angle of observation).



Zone A: Not permitted when checked under the following conditions :component in its "installed" position artificial light-source 1.2 m over the component checked at 2.5 m 0.5 m from the component direction of observation is at 20-45 to the longitudinal axis

of the vehicle with static observation

Zone B: Not permitted if visible at > 4 mwhen evaluated as described for Zone A

No. 38a: Cloudiness/ fogging/ streaks

Data:

Definition: hen polishing: local areas which are matt, dull, cloudy orstreaky, with diffuse transfer between different areas (processallocation 9).

hen painting: noticeable, partially light or dark areas within a(metallic) paint finish with diffuse transfer from one area to thenext (process allocation 3).Dull areas within the overall surface; with diffuse transfer fromone area to the nextProcess allocation 6, 7)





No. 38b: Streaks caused by moisture / air

Data:

Definition: These occur during plastic injection moulding and arecaused by moisture in the plastic or air inclusionsduring the injection moulding process.






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No. 39: Differences in coating thicknesses

Data:

Definition: These occur during galvanizing as a result ofinappropriate current density distribution (processallocation 6) or in other processes because of differentparticulate flows / flow angles or separation conditions.

Process allocation: 2, 3, 6Examples of permissible characteristic features:



No. 40: Sink marks

Data:

Definition: Visible dents in the surface, caused by elements onthe other side of the component, such as ribs, stepsand domes (process allocation 6).Dents in the surface, caused by inappropriate

component geometry and / or shrinkage (processallocation 12).





No. 41: Converging flow marks

Data:

Definition: Visible scratch-like flow-marks on plastic parts whereflow fronts converge.





No. 42: Sucker marks

Data:

Definition: The result of contact between the surface and rubbersuckers. They are visible marks, caused by sucker

deposits when removing the part following the process.






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No. 43: Seam welds

Data:

Definition: These occur at the convergence of two mass flowsafter piercings and domes (converging seam welds).





No. 44: Moisture inclusions

Data:

Definition: Damp material, caused by incorrect preparation of thematerial. Expanding moisture is deposited as streaksor bubbles on the surface of the article.




Zone B: Refer to MTP sample(s) Acceptable

No. 45: Holes

Data:

Definition: Holes in the surface coating, visible with the nakedeye, penetrating to the base material.





No. 46: Alignment gap / offset

Data:

Definition: Alignment gap :Caused by inaccurate alignment of veneers / a line isvisible.

Alignment offset :Caused by inaccurate alignment of veneer / an offset

in structural symmetryProcess allocation: 13



Zone B: Acceptable


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No. 47: Patch marks

Data:

Definition: Caused by voids, holes and splits.




Zone B: Acceptable

No. 48: Jagged knife edges

Data:

Definition: Damage caused by a knife when peeling / deburringthe component.





No. 49: Differences in structure and texture

Data:

Definition: Uneven structure. Branches and bars not adequatelyformed. This occurs in nature.




Zone B: Acceptable

No. 50: Compressed folds

Data:

Definition: Visible lines; overlapping materials.




Zone B: Acceptable


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No. 51: Paint residues

Data:

Definition: Parts of the surface have not been removed by thelaser process.





No. 52: Burn marks

Data:

Definition: Thermal changes in the plastic substrate (changes incolour).






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Imprint

The entire contents of these pages are protected by copyright.

Responsible for contents:

VDA QMCQualitts Management Centerim Verband der AutomobilindustrieVDA QMCAn den Drei Hasen 31D-61440 OberurselGERMANY

Phone: +49 (0)6171 / 9122-0Fax: +49 (0)6171 / 9122-14E-Mail: [email protected]: www.vda-qmc.de

In spite of great care mistakes can not be completely ruled out.In the case of differing information please consider the printed VDA Volume 16 as correct.

Version 1.0


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Attribute Gage R & R Effectiveness

Instructions:

1) The following spreadsheet is used to calculate an Attribute GR&R Effectiveness, in which up to

100 samples can be evaluated, using 2 or 3 operators.2) In theData Entryworksheet fill in the appropriate information in the Scoring Report section and

enter the type of Attributes you are evaluating in the Attribute Legend section. YOU MUST ENTER

THE INFORMATION IN THE ATTRIBUTE LEGEND SECTION OR THE SPREADSHEET

WILL NOT WORK. The attributes can be either alpha or numeric, e.g. Yes, No; pass, fail;

go, stop; or 1, 2. You must be consistent throughout the form and spell properly.

3) If you or an expert has selected samples to be evaluated and you know what attributes these

samples are, enter this information in the Attributesample column. This will enable you to determine

how well each operator can evaluate a set of samples against a known standard. You do not

need to enter information in this column for the spreadsheet to work although you will

not be able to assess the operators against known standards.

4) You do not have to specify how many operators or the # of samples that you will be evaluating

during the test. Simply enter the data into the spreadsheet under the specific operator. Remember

the attributes must be spelled properly or the spreadsheet will not analyze the data correctly.

5) To print a copy of the report click on thePrint Reporticon.

6) To delete the data in the spreadsheet, click on theDelete Dataicon.

7) To delete all and begin a new test, click on theDelete Allicon

8) To see a Demo of the Attribute GR&R Effectiveness spreadsheet, click on theDemoicon.

Move around the spread sheet to see the data. When you are finished click theDelete All icon

to delete all data to begin entering your own data.

The 95% UCL and 95% LCL represent the 95% upper and lower confidence limits on the

binomial distribution. The Calculated Score is the basic computation reported on the report

page for % Appraiser and % Score vs Attribute. The 95% confidence interval represents

the range within which the true Calculated Score lies given the uncertainty associated with

limited sample sizes. As sample size increases (in this case, Total Inspected) the

confidence interval will get smaller and smaller which indicates more reliable estimates of

the true percentages. In the case of the Demo data, the true Calculated score for Operator 1

could be as low as 76.8% given that only 14 samples inspected, even though there was a 100%

Appraiser value calculated. Also, even though Operator 2 had a lower score, Operators 1 and 3

cannot be distinguished from Operator 2 because the calculated score of #2 (78.6%) lies within

the confidence limits for Operators 1 and 3.

With a worksheet limitation of 100 samples, at best a lower 95% limit of 96.4% can be calculated.

Thus, we would have to say that an inspector could be as bad as 96% efficient, even though he/she

missed no calls.

Sample Size 30 < Try out different combinations of number of samples and number of matches

# Matches 30 < to see the effects of sample size. In this case, a sample size of 30 with

95% UCL 100,0% < one non-match will yield a 17% confidence interval. In order to get reasonable

Calculated Score 100,0% < reliability in estimates of efficiency, large sample sizes will be required.

95% LCL 88,4%

Page 1 of 5Attributiven_Gage_R&R-Studie


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Data Entry

Attribute Gage R & R Effectiveness

SCORING REPORT

DATE: 04.01.2001

Attribute Legend

5

(used in computations) NAME: Acme Employee1 Pass PRODUCT: Widgets All operators

2 Fail BUSINESS: Earth Products agree within and All Operatorsbetween each agree with

Other standard

Known Population Y/N /N

Sample # Attribute Try #1 Try #2 Try #1 Try #2 Try #1 Try #2 Agree Agree

1 Pass Pass Pass Pass Pass Pass Pass Y Y



4 Pass Pass Pass Pass Pass Fail Pass N N

5 Fail Fail Fail Fail Fail Pass Fail N N

6 Fail Pass Pass Pass Pass Pass Pass Y N



9 Fail Fail Fail Fail Fail Fail Fail Y Y





14 Pass Pass Pass Pass Pass Fail Pass N N

15 Fail Fail Fail Fail Fail Pass Fail N N







22 Pass Fail Fail Pass Pass Pass Pass N N

23 Pass Pass Pass Pass Pass Pass Pass Y Y24 Pass Pass Pass Pass Pass Fail Pass N N







31

99

100

% APPRAISER SCORE(1)

-> 100,00% 100,00% 83,33%

SCORE VS. ATTRIBUTE(2)

-> 93,33% 96,67% 80,00%

SCREEN % EFFECTIVE SCORE(3)

-> 80,00%SCREEN % EFFECTIVE SCORE vs. ATTRIBUTE

(4)-> 76,67%

Note:(1)Operator agrees with him/herself on both trials

(2)Operator agrees on both trials with the known standard

(3)All operators agreed within and between themselves

(4)All operators agreed within and between themselves AND agreed with the known standard

(5)Enter Pass/Fail, Good/Bad, Accept/Reject or other labels which indicate status of inspection

Operator #1 Operator #2 Operator #3



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ReportAttribute Gage R & R Effectiveness

SCORING REPORT

DATE: 04.01.2001

Attribute Legend NAME: Acme Employee

1Pass PRODUCT: Widgets All operators

2Fail BUSINESS: Earth Products agree within and All Operatorsbetween each agree with

O th er s ta nd ar d

Known Population Operator #1 Operator #2 Operator #3 Y/N Y/N





4 Pass Pass Pass Pass Pass Fail Pass N N5 F ail Fail Fail Fail Fail Pass Fail N N6 Fail Pass Pass Pass Pass Pass Pass Y N


8 Pass Pass Pass Pass Pass Pass Pass Y Y9 Fail Fail Fail Fail Fail Fail Fail Y Y


11 Pass Pass Pass Pass Pass Pass Pass Y Y12 Pass Pass Pass Pass Pass Pass Pass Y Y


14 Pass Pass Pass Pass Pass Fail Pass N N15 Fail Fail Fail Fail Fail Pass Fail N N





22 Pass Fail Fail Pass Pass Pass Pass N N

23 Pass Pass Pass Pass Pass Pass Pass Y Y24 Pass Pass Pass Pass Pass Fail Pass N N





30 Pass Pass Pass Pass Pass Pass Pass Y Y31 - - - - - - -

32 - - - - - - -33 - - - - - - -34 - - - - - - -

35 - - - - - - -36 - - - - - - -37 - - - - - - -

38 - - - - - - -39 - - - - - - -40 - - - - - - -

41 - - - - - - -42 - - - - - - -43 - - - - - - -

44 - - - - - - -45 - - - - - - -46 - - - - - - -

47 - - - - - - -48 - - - - - - -49 - - - - - - -

50 - - - - - - -51 - - - - - - -52 - - - - - - -53 - - - - - - -54 - - - - - - -

55 - - - - - - -56 - - - - - - -57 - - - - - - -

58 - - - - - - -59 - - - - - - -60 - - - - - - -

61 - - - - - - -62 - - - - - - -63 - - - - - - -

64 - - - - - - -65 - - - - - - -66 - - - - - - -

67 - - - - - - -68 - - - - - - -69 - - - - - - -

70 - - - - - - -71 - - - - - - -72 - - - - - - -

73 - - - - - - -74 - - - - - - -75 - - - - - - -

76 - - - - - - -77 - - - - - - -78 - - - - - - -

79 - - - - - - -80 - - - - - - -

81 - - - - - - -

82 - - - - - - -83 - - - - - - -84 - - - - - - -

85 - - - - - - -86 - - - - - - -87 - - - - - - -

88 - - - - - - -89 - - - - - - -90 - - - - - - -

91 - - - - - - -92 - - - - - - -93 - - - - - - -

94 - - - - - - -95 - - - - - - -96 - - - - - - -

97 - - - - - - -98 - - - - - - -99 - - - - - - -

100 - - - - - - -

%APPRAISER SCORE(1)

-> 100,00% 100,00% 83,33%

% SCORE VS. ATTRIBUTE(2)

-> 93,33% 96,67% 80,00%

SCREEN % EFFECTIVE SCORE(3)

-> 8 0, 00 %

SCREEN %EFFECTIVE SCORE vs. ATTRIBUTE(4)

-> 76,67%

Note:(1)Operator agrees with him/herself on both trials(2)Operator agrees on both trials with the known standard(3) All operators agreed within and between themselves(4) All operators agreed within and between themselves AND agreed with the known standard(5)Enter Pass/Fail, Good/Bad, Accept/Reject or other labels which indicate status of inspection Page 3 of 5

Attributiven_Gage_R&R-Studie


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Statistical Report - Attribute Gage R&R Study

DATE: 04.01.2001NAME: Acme Employee

PRODUCT: WidgetsBUSINESS: Earth Products

% Appraiser1

%Score vs Attribute2

Source Operator #1 Operator #2 Operator #3 Operator #1 Operator #2 Operator #3

Total Inspected 30 30 30 30 30 30

# Matched 30 30 25 28 29 24

False Negative (operator rejected good product) 1 0 0

False Positive (operator accepted bad product) 1 1 1

Mixed 0 0 5

95% UCL 100,0% 100,0% 94,4% 99,2% 99,9% 92,3%

Calculated Score 100,0 100,0% 83,3% 93,3 96,7 80,0%

95% LCL 88,4% 88,4% 65,3% 77,9% 82,8% 61,4%

Screen % Effective Score3

Screen % Effective Score vs Attribute4

Total Inspected 30 30

# in Agreement 24 23

95% UCL 92,3% 90,1%

Calculated Score 80,0% 76,7

95% LCL 61,4% 57,7%

Notes

(1) Operator agrees with him/herself on both trials

(2) Operator agrees on both trials with the known standard

(3) All operators agreed within and between themselves

(4) All operators agreed within & between themselves AND agreed with the known standard

% Appraiser

0,0%

10,0%20,0%

30,0%

40,0%

50,0%

60,0%

70,0%

80,0%

90,0%

100,0%

110,0%


%

Efficiency

95% UCLCalculated Score95% LCL

% Score vs Appraiser

0,0%

10,0%20,0%

30,0%

40,0%

50,0%

60,0%

70,0%

80,0%

90,0%

100,0%

110,0%


%

Efficiency

95% UCLCalculated Score95% LCL



22/22

CalculationsKnown Population Operator #1 Operator #2 Operator #3 Y/N Y/N


1 1 1 1 1 1 1 1 TRUE TRUE

2 1 1 1 1 1 1 1 TRUE TRUE

3 1 1 1 1 1 1 1 TRUE TRUE

4 1 1 1 1 1 2 1 FALSE FALSE

5 2 2 2 2 2 1 2 FALSE FALSE

6 2 1 1 1 1 1 1 TRUE FALSE

7 1 1 1 1 1 1 1 TRUE TRUE

8 1 1 1 1 1 1 1 TRUE TRUE

9 2 2 2 2 2 2 2 TRUE TRUE

10 1 1 1 1 1 1 1 TRUE TRUE

11 1 1 1 1 1 1 1 TRUE TRUE

12 1 1 1 1 1 1 1 TRUE TRUE

13 1 1 1 1 1 1 1 TRUE TRUE

14 1 1 1 1 1 2 1 FALSE FALSE

15 2 2 2 2 2 1 2 FALSE FALSE

16 1 1 1 1 1 1 1 TRUE TRUE

17 1 1 1 1 1 1 1 TRUE TRUE

18 1 1 1 1 1 1 1 TRUE TRUE

19 2 2 2 2 2 2 2 TRUE TRUE

20 1 1 1 1 1 1 1 TRUE TRUE

21 1 1 1 1 1 1 1 TRUE TRUE

22 1 2 2 1 1 1 1 FALSE FALSE

23 1 1 1 1 1 1 1 TRUE TRUE

24 1 1 1 1 1 2 1 FALSE FALSE

25 2 2 2 2 2 2 2 TRUE TRUE

26 1 1 1 1 1 1 1 TRUE TRUE

27 1 1 1 1 1 1 1 TRUE TRUE

28 1 1 1 1 1 1 1 TRUE TRUE

29 2 2 2 2 2 2 2 TRUE TRUE

30 1 1 1 1 1 1 1 TRUE TRUE

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%Appraiser Score 100 00 100 00% 83 33 Page 5 of 5

Documents

VDA Volume 16 Englisch Pictures