Tolerance Analysis Approach based on the Classification of Uncertainty (Aleatory/Epistemic)

Dantan, Jean‐Yves; Gayton, Nicolas; Qureshi, Ahmed Jawad; Lemaire, Maurice; Etienne, Alain

doi:10.1016/j.procir.2013.08.044

Cited by 31 publications

(23 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Aleatory uncertainty is the 'stochastic intrinsic variability associated with a physical system or environment'. The epistemic uncertainty is related to incomplete knowledge [23].…”

Section: Systematic Literature Review Processmentioning

confidence: 99%

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Göhler

Eifler

Howard

2016

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…Aleatory uncertainty is the 'stochastic intrinsic variability associated with a physical system or environment'. The epistemic uncertainty is related to incomplete knowledge [23].…”

Section: Systematic Literature Review Processmentioning

confidence: 99%

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Göhler

Eifler

Howard

2016

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…35 According to the classification of uncertainties (Section 4) manufacturing-caused deviations of the components are aleatory uncertainties. 37 These deviations can be quantified by corresponding probability distributions but cannot be avoided entirely. By means of statistical tolerance simulations, the product developer gains knowledge and, thus, reduces epistemic uncertainty of the product development process.…”

Section: Statistical Tolerance Analysismentioning

confidence: 99%

On uncertainties in simulations in engineering design: A statistical tolerance analysis application

2014

View full text Add to dashboard Cite

Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas, but also support product design in engineering in terms of improved functionality, cost and time issues. However, as a matter of fact, simulations examine limited excerpts of real systems with accompanying simplifications, abstractions and idealizations. Hence, there is a distinct need to be aware of upcoming risks in simulation outcomes caused by uncertainties. These influence every step of forward-thinking simulation design which is not only restrained by modeling practice but begins with reality perception itself.The intention of the paper is to embed an awareness of uncertainty in the context of simulation by linking major classes of uncertainty with uncertainties within simulations in engineering design. Besides the decisive inclusion of reality as the starting point, mathematic approaches are also used to understand how those uncertainty classes evolve through exponential knowledge creation of systems. The transfer to statistical tolerance analysis shall finally put emphasis on the practical classification of uncertainty, starting from data preparation via concept design and mathematical implementation to result depiction. In the end, the reader's conception of possible uncertainties in special simulation cases shall be sharpened which, vice versa, shall lead to even better and well-thought-out simulation outcomes.

show abstract

“…Analysis seeks to assure and confirm design functionality for a given variability of individual parts. Newer reviews [12] show few additional contributions compared to [2] which indicates a relatively low current research focus with some exceptions [13], [14]. Synthesis (aka allocation) is opposite to "Analysis" as it aims to optimize tolerance values often towards a function (i.e.…”

Section: Traditional Tolerance Engineeringmentioning

confidence: 99%

Variation Analysis in Collaborative Engineering; an Industrial Case Study of Rocket Motor Development

2014

View full text Add to dashboard Cite

Considerably less research is found on tolerance specifications compared to research on tolerance analysis and synthesis. Where tolerance analysis and synthesis often can be completely understood based on technical input we argue that an extended research approach is needed to understand tolerance specification complexity. We have aimed to understand the Research Question (RQ) "How does variation analysis support tolerance specification during collaborative Product Development (PD)"? For this case study of the Product Development Process (PDP) of a rocket motor within the defense industry we have used interviews, observations, participation and secondary sources during data gathering. We found that collaborative gathering of input for the simulation generates useful knowledge for the project at an early stage. Further, that swiftly and precisely done variation analysis generates output supporting frequent and cross functional communication on tolerances. We see the enabled fact based decision making as an important factor to PD success.

show abstract

Tolerance Analysis Approach based on the Classification of Uncertainty (Aleatory/Epistemic)

Cited by 31 publications

References 9 publications

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

Robustness Metrics: Consolidating the Multiple Approaches to Quantify Robustness

On uncertainties in simulations in engineering design: A statistical tolerance analysis application

Variation Analysis in Collaborative Engineering; an Industrial Case Study of Rocket Motor Development

Contact Info

Product

Resources

About