1. Coating Cans Wear Analysis Kevin Jacob DSES_6070

2. Background Coating process uses fixtures (cans) to mask part leaving the area to be coated exposed to the coating material. Coating thickness is assessed by having a positive correlation to the weight of the part before and after coat (weight gain). Along with process variation, measurement and, tooling variation are significant. Process is reaching its maturity and tool wear is affecting the quality of parts.

3. Current Coating Trends

4. Coating Gain Analysis Norma Distribution was determined as the best distribution to study the Weight Gain variation. A Weibull Distribution is used to study the Can Wear.

5. Data Analysis Service_TimesFailure_Times 28806720 38402640 33606720 38402640 38406720 3120 6000 3600 2880 3840 4080 3360 3840 4800 3600 4560 2640 3120 3600 2640 Shows a snapshot of service time accumulated on Cans. 53 masks still in service while 5 failed.

6. Weibull Analysis Shape: 4.7668 Scale: 4066.56 MTTF: 3722

7. Maple Analysis Reliability Function, PDF vs Time Failure rate function, Hazard function vs Time

8. Conclusion The mean Time to Failure is 3722. Optimize coating times to reduce wear on cans. Investigate other materials to manufacture masks.