“…Compared to the previous work in [6,35], in this paper, the CSP model takes into account the buckling and the fatigue studies of the spring and the constraint of contiguously spiral turn. Also the CSP model besides the consideration of natural frequency, it considers the dynamic behavior of the suspension so the values of the design parameter of the compression spring generated by "Constraint Explorer" satisfy the condition that the movement of the suspension is between the two limit values x min and x max .…”
Section: Static Constraints and Dynamic Requirementsmentioning
confidence: 99%
“…The constraint satisfaction problem "CSP" [6][7][8][9][10][11][12][13][14][15][16][17] is a programming paradigm that emerged in the 1980s to solve combinatorial problems of large sizes such as problems with planning and scheduling. It was intended to solve the mathematical problem that looks for states or objects satisfying a number of constraints.…”
“…It requires supporting tools and methodologies adapted throughout the design process [1][2][3][4]. We are interested here in problems of optimal design [5][6][7] of components and we propose an improvement to these tools and methodologies using constraint satisfaction techniques [6][7][8][9][10][11][12][13][14][15][16][17]. Our approach is applied to an optimal sizing case of a compression spring [18][19][20][21][22][23][24][25][26][27].…”
“…Compared to the previous work in [6,35], in this paper, the CSP model takes into account the buckling and the fatigue studies of the spring and the constraint of contiguously spiral turn. Also the CSP model besides the consideration of natural frequency, it considers the dynamic behavior of the suspension so the values of the design parameter of the compression spring generated by "Constraint Explorer" satisfy the condition that the movement of the suspension is between the two limit values x min and x max .…”
Section: Static Constraints and Dynamic Requirementsmentioning
confidence: 99%
“…The constraint satisfaction problem "CSP" [6][7][8][9][10][11][12][13][14][15][16][17] is a programming paradigm that emerged in the 1980s to solve combinatorial problems of large sizes such as problems with planning and scheduling. It was intended to solve the mathematical problem that looks for states or objects satisfying a number of constraints.…”
“…It requires supporting tools and methodologies adapted throughout the design process [1][2][3][4]. We are interested here in problems of optimal design [5][6][7] of components and we propose an improvement to these tools and methodologies using constraint satisfaction techniques [6][7][8][9][10][11][12][13][14][15][16][17]. Our approach is applied to an optimal sizing case of a compression spring [18][19][20][21][22][23][24][25][26][27].…”
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