CSP approach and interval computation for the coupling between static and dynamic requirements in the preliminary design of a compression spring

In this study, a new design approach based on an interval computation method and the constraint satisfaction problem technique (CSP approach) was discussed. It has been applied in the design of a compression spring, implemented in the vehicle suspension system. A design process is proposed and compared with what is done in conventional design. IT allows making static and dynamic sizing in one step. In fact, with the CSP, static and dynamic requirements can be coupled in the same step of sizing. In the CSP all requirements imposed can be integrated from the beginning. So it avoids falling on the loop “design-simulate-back to the initial step in case of failure”. In this study, the design parameters values of the compression spring generated by the CSP verify all requirements and the resulting simulation of the system behaviour respects all constraints required. The results obtained in this study affirmed that the suggested method is valid and potentially useful to the size dynamic system and can be applied easily and effectively.

[1]  R E.,et al.  Global Optimization Using Interval Analysis : The One-Dimensional Case , 2004 .

[2]  G. Mesmacque,et al.  Stress relief effect on fatigue and relaxation of compression springs , 2007 .

[3]  E. Hansen Global optimization using interval analysis: The one-dimensional case , 1979 .

[4]  Eric Monfroy,et al.  Symbolic-interval cooperation in constraint programming , 2001, ISSAC '01.

[5]  Manuel Paredes,et al.  Advanced assistance tool for optimal compression spring design , 2005, Engineering with Computers.

[6]  Manuel Paredes,et al.  Methodology to build an assistance tool dedicated to preliminary design: application to compression springs , 2009 .

[7]  Mitsuo Gen,et al.  A solution method for optimal weight design problem of herical spring using genetic algorithms , 1997 .

[8]  Pascal Lafon,et al.  Optimization of mechanical system: Contribution of constraint satisfaction method , 2009, 2009 International Conference on Computers & Industrial Engineering.

[9]  T. J. Teorey,et al.  A logical design methodology for relational databases using the extended entity-relationship model , 1986, CSUR.

[10]  Ugo Montanari,et al.  Networks of constraints: Fundamental properties and applications to picture processing , 1974, Inf. Sci..

[11]  Kalyanmoy Deb,et al.  A flexible optimization procedure for mechanical component design based on genetic adaptive search , 1998 .

[12]  Claudiu Valentin Suciu,et al.  On the Structural Simplification, Compact and Light Design of a Vehicle Suspension, Achieved by Using a Colloidal Cylinder with a Dual Function of Absorber and Compression-Spring , 2013 .

[13]  Philipp Geyer,et al.  Component-oriented decomposition for multidisciplinary design optimization in building design , 2009, Adv. Eng. Informatics.

[14]  Glen Mullineux,et al.  Constraint-based modelling and optimization to support the design of complex multi-domain engineering problems , 2010, Engineering with Computers.

[15]  Jonathan S. Colton,et al.  A form verification system for the conceptual design of complex mechanical systems , 2005, Engineering with Computers.

[16]  Pierre-Alain Yvars,et al.  Optimization of a passive structure for active vibration isolation: an interval-computation- and constraint-propagation-based approach , 2012 .

[17]  J. H. Kim,et al.  Multidisciplinary aircraft design and evaluation software integrating CAD, analysis, database, and optimization , 2006, Adv. Eng. Softw..

[18]  Chang Yong Song,et al.  Reliability-based design optimization of an FPSO riser support using moving least squares response surface meta-models , 2011 .