Design Validation interview questions

1. A.structured analysis of potential design failure modes, effects and causes, ranked by severity, occurrence and detection before drawings release
2. B.design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
3. C.cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
4. D.root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk

Answer + AI explanation with Pro

1. A.Weibull analysis
2. B.DFMEA
3. C.Action Priority
4. D.S-N curve

Answer + AI explanation with Pro

1. A.DFMEA — structured analysis of potential design failure modes, effects and causes, ranked by severity, occurrence and detection before drawings release
2. B.DFMEA — high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
3. C.DFMEA — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
4. D.DFMEA — design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent

Answer + AI explanation with Pro

1. A.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
2. B.fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1
3. C.plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
4. D.high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook

Answer + AI explanation with Pro

1. A.DFMEA
2. B.Weibull analysis
3. C.Action Priority
4. D.S-N curve

Answer + AI explanation with Pro

1. A.Action Priority — design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
2. B.Action Priority — arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
3. C.Action Priority — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
4. D.Action Priority — high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook

Answer + AI explanation with Pro

1. A.plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
2. B.structured analysis of potential design failure modes, effects and causes, ranked by severity, occurrence and detection before drawings release
3. C.cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
4. D.design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent

Answer + AI explanation with Pro

1. A.DVP&R
2. B.Miner's rule
3. C.RSS stack-up
4. D.Goodman line

Answer + AI explanation with Pro

1. A.DVP&R — cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
2. B.DVP&R — root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk
3. C.DVP&R — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
4. D.DVP&R — design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent

Answer + AI explanation with Pro

1. A.plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
2. B.cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
3. C.root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk
4. D.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances

Answer + AI explanation with Pro

1. A.Action Priority
2. B.S-N curve
3. C.DVP&R
4. D.Worst-case stack-up

Answer + AI explanation with Pro

1. A.Worst-case stack-up — plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
2. B.Worst-case stack-up — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
3. C.Worst-case stack-up — design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
4. D.Worst-case stack-up — arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances

Answer + AI explanation with Pro

1. A.straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
2. B.high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
3. C.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
4. D.root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk

Answer + AI explanation with Pro

1. A.DFMEA
2. B.Action Priority
3. C.DVP&R
4. D.RSS stack-up

Answer + AI explanation with Pro

1. A.RSS stack-up — root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk
2. B.RSS stack-up — plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
3. C.RSS stack-up — high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
4. D.RSS stack-up — cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories

Answer + AI explanation with Pro

1. A.design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
2. B.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
3. C.plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
4. D.high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook

Answer + AI explanation with Pro

1. A.DVP&R
2. B.Action Priority
3. C.DFMEA
4. D.S-N curve

Answer + AI explanation with Pro

1. A.S-N curve — fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1
2. B.S-N curve — structured analysis of potential design failure modes, effects and causes, ranked by severity, occurrence and detection before drawings release
3. C.S-N curve — plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
4. D.S-N curve — arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances

Answer + AI explanation with Pro

1. A.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
2. B.high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
3. C.plot of stress amplitude against cycles to failure, with a knee at 10⁶–10⁷ cycles for steel and no endurance limit for aluminium
4. D.straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations

Answer + AI explanation with Pro

1. A.Action Priority
2. B.DVP&R
3. C.RSS stack-up
4. D.Goodman line

Answer + AI explanation with Pro

1. A.Goodman line — arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
2. B.Goodman line — cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
3. C.Goodman line — fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1
4. D.Goodman line — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations

Answer + AI explanation with Pro

1. A.design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
2. B.cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
3. C.straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
4. D.root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk

Answer + AI explanation with Pro

1. A.S-N curve
2. B.Worst-case stack-up
3. C.DVP&R
4. D.Miner's rule

Answer + AI explanation with Pro

1. A.Miner's rule — root-sum-square of tolerances assuming normal, independent variation, allowing looser component tolerances at a small assembly risk
2. B.Miner's rule — cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
3. C.Miner's rule — design verification plan and report listing every test, acceptance criterion, sample size, timing and result needed to prove design intent
4. D.Miner's rule — fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1

Answer + AI explanation with Pro

1. A.fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1
2. B.high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
3. C.arithmetic sum of all tolerances in a chain, guaranteeing assembly but forcing tight component tolerances
4. D.cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories

Answer + AI explanation with Pro

1. A.Worst-case stack-up
2. B.Weibull analysis
3. C.RSS stack-up
4. D.Action Priority

Answer + AI explanation with Pro

1. A.Weibull analysis — straight line from the endurance limit on the alternating axis to ultimate strength on the mean axis, bounding safe fatigue combinations
2. B.Weibull analysis — high/medium/low rating from severity-occurrence-detection tables that replaced the RPN product in the 2019 AIAG-VDA FMEA handbook
3. C.Weibull analysis — cumulative damage summed as n/N across load levels, with failure predicted when the total reaches 1.0, used with rainflow-counted histories
4. D.Weibull analysis — fitting failure times to a distribution whose shape parameter β shows infant mortality below 1, random failure at 1 and wear-out above 1

Answer + AI explanation with Pro