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Hybrid Optimization Based Mathematical Procedure for Dimensional Synthesis of Slider-Crank Linkage
| Content Provider | MDPI |
|---|---|
| Author | Alfonso, Hernández Aitor, Muñoyerro Urízar, Mónica Amezua, Enrique |
| Copyright Year | 2021 |
| Description | In this paper, an optimization procedure for path generation synthesis of the slider-crank mechanism will be presented. The proposed approach is based on a hybrid strategy, mixing local and global optimization techniques. Regarding the local optimization scheme, based on the null gradient condition, a novel methodology to solve the resulting non-linear equations is developed. The solving procedure consists of decoupling two subsystems of equations which can be solved separately and following an iterative process. In relation to the global technique, a multi-start method based on a genetic algorithm is implemented. The fitness function incorporated in the genetic algorithm will take as arguments the set of dimensional parameters of the slider-crank mechanism. Several illustrative examples will prove the validity of the proposed optimization methodology, in some cases achieving an even better result compared to mechanisms with a higher number of dimensional parameters, such as the four-bar mechanism or the Watt’s mechanism. |
| Starting Page | 1581 |
| e-ISSN | 22277390 |
| DOI | 10.3390/math9131581 |
| Journal | Mathematics |
| Issue Number | 13 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-05 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Automotive Engineering Path Generation Dimensional Synthesis Hybrid Optimization Slider-crank Mechanism |
| Content Type | Text |
| Resource Type | Article |
