Integrated uncertainty management in parametric design and tolerancing

References

• Apley, D. W., J. Liu, and W. Chen. 2005. “Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments.” Journal of Mechanical Design 128 (4): 945–958.
   Web of Science ®Google Scholar
• Ballu, A., J.-Y. Plantec, and L. Mathieu. 2009. “Geometrical Reliability of Overconstrained Mechanisms with Gaps.” CIRP Annals – Manufacturing Technology 57: 159–162.
   Web of Science ®Google Scholar
• Bruyere, J., J.-Y. Dantan, R. Bigot, and P. Martin. 2007. “Statistical Tolerance Analysis of Bevel Gears.” Mechanism and Machine Theory 42 (10): 1326–1351.
   Web of Science ®Google Scholar
• Camelio, J., S. J. Hu, and D. Ceglarek. 2003. “Modeling Variation Propagation of Multi-Station Assembly Systems with Compliant Parts.” Journal of Mechanical Design 125 (4): 673–681.
   Web of Science ®Google Scholar
• Chase, K. W., and A. R. Parkinson. 1991. “A Survey of Research in the Application of Tolerance Analysis to the Design of Mechanical Assemblies.” Research in Engineering Design 3 (1): 23–37.
   Google Scholar
• Chatterjee, T., S. Chakraborty, and R. A. Chowdhury. 2019. “Critical Review of Surrogate Assisted Robust Design Optimization.” Archives of Computational Methods in Engineering 26: 245–274. doi:https://doi.org/10.1007/s11831-017-9240-5.
   Web of Science ®Google Scholar
• Chen, W., J. K. Allen, K. Tsui, and F. Mistree. 1996. “A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors.” ASME. The Journal of Mechanical Design 118 (4); December 1996: 478–485. doi:https://doi.org/10.1115/1.2826915.
   Web of Science ®Google Scholar
• Choi, H.-J. 2005. “A Robust Design Method for Model, Propagated Uncertainty.” (PhD diss.) Georgia Institute of Technology.
   Google Scholar
• Dahlström, S., and L. Lindkvist. 2004. Variation simulation of Sheet Metal Assemblies Using the Method of Influence Coefficients with Contact Modeling. ASME 2004 International Mechanical Engineering Congress, Exposition, Anaheim, California.
   Google Scholar
• Dantan, J.-Y. 2015. “Comparison of Skin Model Representations, Tooth Contact Analysis Techniques for Gear Tolerance Analysis. Journal of Computing.” Information Science in Engineering 15 (2). Article number 021010. doi:10.1115/1.4028961.
   Google Scholar
• Dantan, Qureshi, A.J., J.-F. Antoine, B. Eisenbart, and L. T. M. Blessing. 2013. “Management of Product Characteristics Uncertainty Based on Formal Logic, Characteristics Properties Model.” Annals of CIRP 62 (1): 147–150.
   Web of Science ®Google Scholar
• Dantan, Gayton, N., N. Dumas, A. Etienne, and A. J. Qureshi. 2012b. Mathematical issues in Mechanical Tolerance Analysis, AIP PRIMECA 2012, France.
   Google Scholar
• Dantan, J. Y., N. Gayton, A. J. Qureshi, et al. 2012a. Tolerance analysis approach based on the classification of uncertainty (aleatory/ epistemic). In: Proceedings of the 12th CIRP conference on computer aided tolerancing, Huddersfield, UK.
   Google Scholar
• Dempster, A. P. 1967. “Upper and Lower Probabilities Induced by a Multivalued Mapping.” The Annals of Mathematical Statistics 38 (2): 325–339.
   Google Scholar
• Deng, J., X. Ye, Y. Lin, Q. Li, and G. Zhai. 2017. “A new Robust Tolerance Design Method for Electromechanical Device Based on Variable Contribution Rate Coefficients.” Journal of Engineering Design 28 (7-9): 532–548.
   Web of Science ®Google Scholar
• Du, X. 2006. Uncertainty Analysis with Probability and Evidence Theories” Proceedings of ASME 2006 International Design Technical Conferences & Computers and Information in Engineering Conference, Sep 10-13, Philadelphia, Pennsylvania.
   Google Scholar
• Du, X., and W. Chen. 2000. “A Methodology for Uncertainty Propagation and Management in Simulation-Based Systems Design.” AIAA Journal 38 (8): 1471–1478.
   Web of Science ®Google Scholar
• Dumas, A., and Gayton, N. Dantan. 2015. “Impact of a Behavior Model Linearization Strategy on the Tolerance Analysis of Over-Constrained Mechanisms.” CAD Computer Aided Design 62: 152–163.
   Web of Science ®Google Scholar
• Ebro, M., and T. J. Howard. 2016. “Robust Design Principles for Reducing Variation in Functional Performance.” Journal of Engineering Design 27 (1-3): 75–92.
   Web of Science ®Google Scholar
• Eifler, M., E. Christensen, and T. J. Howard. 2013. A classification of the industrial relevance of robust design methods. 19th International Conference on Engineering Design.
   Google Scholar
• Eifler, T., and T. J. Howard. 2018. “The Importance of Robust Design Methodology: Case Study of the Infamous GM Ignition Switch Recall.” Research in Engineering Design 29: 39–53. doi:https://doi.org/10.1007/s00163-017-0251-x.
   Web of Science ®Google Scholar
• Evans, D. H. 1974. “Statistical Tolerancing: The State of the Art: Part I. Background.” Journal of Quality Technology 6 (4): 188–195.
   Google Scholar
• Filippi, G., M. Vasile, P. Z. Korondi, M. Marchi, and C. Poloni. 2018. Robust Design Optimisation of dynamical space systems, 8th International Systems & Concurrent Engineering for Space Applications Conference (SECESA 2018).
   Google Scholar
• Goka, E., P. Beaurepaire, L. Homri, and J.-Y. Dantan. 2019. “Probabilistic-based Approach Using Kernel Density Estimation for gap Modeling in a Statistical Tolerance Analysis.” Mechanism and Machine Theory 139: 294–309.
   Web of Science ®Google Scholar
• Helton, J. C., J. D. Johnson, W. L. Oberkampf, and C. J. Sallaberry. 2010. “Representation of Analysis Results Involving Aleatory and Epistemic Uncertainty.” International Journal of General Systems 39 (6): 605–646. doi:https://doi.org/10.1080/03081079.2010.486664.
   Web of Science ®Google Scholar
• Hong, Y. S., and T. C. Chang. 2002. “A Comprehensive Review of Tolerancing Research.” International Journal of Production Research 40: 2425–2459.
   Web of Science ®Google Scholar
• Jareteg, C., K. Wärmefjord, R. Söderberg, L. Lindkvist, J. S. Carlson, C. Cromvik, and F. Edelvik. 2014. Variation simulation for composite parts, assemblies including variation in fiber orientation, thickness, CIRP CATS 2014.
   Google Scholar
• Joseph, V. R., L. Gu, S. Ba, and W. R. Myers. 2019. “Space-Filling Designs for Robustness Experiments.” Technometrics 61 (1): 24–37. doi:https://doi.org/10.1080/00401706.2018.1451390.
   Web of Science ®Google Scholar
• Jugulum, R., and D. D. Frey. 2007. “Toward a Taxonomy of Concept Designs for Improved Robustness.” Journal of Engineering Design 18 (2): 139–156. doi:https://doi.org/10.1080/09544820600731496.
   Web of Science ®Google Scholar
• Ledoux, Y., D. Teissandier, and P. Sebastian. 2016. “Global Optimisation of Functional Requirements and Tolerance Allocations Based on Designer Preference Modelling.” Journal of Engineering Design 27 (9): 591–612.
   Web of Science ®Google Scholar
• Lehman, J. S., T. J. Santner, and W. I. Notz. 2004. “Designing Computer Experiments to Determine Robust Control Variables,”.” Statistica Sinica 14: 571–590.
   Web of Science ®Google Scholar
• Malmiry, R. B., J. Pailhès, A. J. Qureshi, J. F. Antoine, and J.-Y. Dantan. 2016. “Management of Product Design Complexity due to Epistemic Uncertainty via Energy Flow Modelling Based on CPM.” Annals of CIRP 65 (1): 169–172.
   Web of Science ®Google Scholar
• Mistree, F., W. Smith, B. Bras, J. Allen, and D. Muster. 1990. “Decision-based Design: a Contemporary Paradigm for Ship Design.” Transactions.” Society of Naval Architects and Marine Engineers 98: 565–597.
   Google Scholar
• Morse, E., Anwer, N. Dantan, R. Söderberg, G. Moroni, A. Qureshi, X. Jiang, and L. Mathieu. 2018. “Tolerancing: Managing Uncertainty from Conceptual Design to Final Product.” CIRP Annals 67 (2): 695–717.
   Web of Science ®Google Scholar
• Mourelatos, Z. P., and J. Liang. 2005. “A Methodology for Trading-Off Performance and Robustness Under Uncertainty. ASME.” The Journal of Mechanical Design 128 (4): 856–863.
   Web of Science ®Google Scholar
• Nair, V. N., B. Abraham, J. MacKay, G. Box, R. N. Kacker, T. J. Lorenzen, J. M. Lucas, et al. 1992. “Taguchi's Parameter Design: A Panel Discussion.” Technometrics 34 (2): 127–161.
   Web of Science ®Google Scholar
• Nigam, S. D., and J. U. Turner. 1995. “Review of Statistical Approaches to Tolerance Analysis.” Computer Aided Design 27 (1): 6–15.
   Web of Science ®Google Scholar
• Oberkampf, W. L., S. M. DeLand, B. M. Rutherford, K. V. Diegert, and K. F. Alvin. 2002. “Error and Uncertainty in Modeling and Simulation.” Reliability Engineering and System Safety 75: 333–357.
   Web of Science ®Google Scholar
• Otto, K. N., and E. K. Antonsson. 1991. “Trade-off Strategies in Engineering Design.” Research in Engineering Design 3 (2): 87–103. doi:https://doi.org/10.1007/BF01581342.
   Google Scholar
• Pahl, G., W. Beitz, J. Feldhusen, and K.-H. Grote. 2007. Engineering Design: A Systematic Approach (3rd ed.), edited by K. Wallace, and L. T. M. Blessing. Springer-Verlag London Limited.
   Google Scholar
• Phadke, M. S. 1995. Quality Engineering Using Robust Design. New Jersey: Prentice Hall.
   Google Scholar
• Quirante, T., P. Sebastian, and Y. Ledoux. 2013. “A Trade-off Function to Tackle Robust Design Problems in Engineering.” Journal of Engineering Design 24 (1): 64–81.
   Web of Science ®Google Scholar
• Qureshi, J., Bruyere, J. Dantan, and R. Bigot. 2009. Tolerance Analysis based on Quantified Constraint Satisfaction Problems, 11th CIRP International Seminar on Computer Aided Tolerancing, Annecy, France.
   Google Scholar
• Rumpfkeil, M. P. 2013. “Robust Design Under Mixed Aleatory/Epistemic Uncertainties Using Gradients and Surrogates.” Journal of Uncertainty Analysis and Applications 1 (1): 7. doi:10.1186/2195-5468-1-7.
   Google Scholar
• Schleich, Benjamin, Nabil Anwer, Zuowei Zhu, Lihong Qiao, Luc Mathieu, and Sandro Wartzack. 2014. A Comparative Study on Tolerance Analysis Approaches. Conference: International Symposium on Robust Design – ISoRD14.
   Google Scholar
• Schleich, B., and S. Wartzack. 2016. “A Quantitative Comparison of Tolerance Analysis Approaches for Rigid Mechanical Assemblies.” Procedia CIRP 43: 172–177.
   Google Scholar
• Shen, Z., G. Aameta, and J. Shah J. 2005. “A Comparative Study of Tolerance Analysis Methods.” Journal of Computing and Information Science in Engineering 5: 247–256.
   Web of Science ®Google Scholar
• Söderberg, R., K. Wärmefjord, L. Lindkvist, and R. Berlin. 2012. “The Influence of Spot Weld Position Variation on Geometrical Quality.” Annals of CIRP 61 (1): 13–16.
   Web of Science ®Google Scholar
• Taguchi, G. 1987. The System of Experimental Design Engineering Methods to Optimize Quality and Minimize Cost, vols. 1 and 2. Dearborn, MI: American Supplier Institute.
   Google Scholar
• Thunnissen, D. P. 2003. Uncertainty classification for the design, development of complex systems, 3rd Annual Predictive Methods Conference. Newport Beach, California, 1–16.
   Google Scholar
• Walter, M., M. Storch, and S. Wartzack. 2014. “On Uncertainties in Simulations in Engineering Design: A Statistical Tolerance Analysis Application.” Simul. Trans. Soc. Model. Simul. Int 90 (5): 547–559.
   Web of Science ®Google Scholar
• Wang, R., A. Nellippallil, G. Wang, Y. Yan, J. Allen, and F. Mistree. 2019. “Ontology-based Uncertainty Management Approach in Designing of Robust Decision Workflows.” Journal of Engineering Design 30 (10-12): 726–757.
   Web of Science ®Google Scholar