Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction
The use of computer-aided engineering (CAE) tools has become essential in modern design processes, significantly streamlining mechanical design tasks. The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Computers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-431X/14/6/215 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839654383559639040 |
|---|---|
| author | Jose Villagomez-Moreno Aurelio Dominguez-Gonzalez Carlos Gustavo Manriquez-Padilla Juan Jose Saucedo-Dorantes Angel Perez-Cruz |
| author_facet | Jose Villagomez-Moreno Aurelio Dominguez-Gonzalez Carlos Gustavo Manriquez-Padilla Juan Jose Saucedo-Dorantes Angel Perez-Cruz |
| author_sort | Jose Villagomez-Moreno |
| collection | DOAJ |
| description | The use of computer-aided engineering (CAE) tools has become essential in modern design processes, significantly streamlining mechanical design tasks. The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative operations. A key focus lies in understanding and mitigating the detrimental effects of cavitation on injector surfaces, as it can reduce the injector lifespan and induce material degradation. By combining advanced numerical finite element tools with algorithmic optimization, these adverse effects can be effectively mitigated. The incorporation of computational tools enables efficient numerical analyses and rapid, automated modifications of injector designs, significantly enhancing the ability to explore and refine geometries. The primary goal remains the minimization of cavitation phenomena and the improvement in injector performance, while the collaborative use of specialized software environments ensures a more robust and streamlined design process. Specifically, using the simulated annealing algorithm (SA) helps identify the optimal configuration that minimizes cavitation-induced effects. The proposed approach provides a robust set of tools for engineers and researchers to enhance injector performance and effectively address cavitation-related challenges. The results derived from this integrated framework illustrate the effectiveness of the optimization methodology in facilitating the development of more efficient and reliable injector systems. |
| format | Article |
| id | doaj-art-4aae306b4e134c51a1dbdc4da4d369e2 |
| institution | Matheson Library |
| issn | 2073-431X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-4aae306b4e134c51a1dbdc4da4d369e22025-06-25T13:39:42ZengMDPI AGComputers2073-431X2025-06-0114621510.3390/computers14060215Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation ReductionJose Villagomez-Moreno0Aurelio Dominguez-Gonzalez1Carlos Gustavo Manriquez-Padilla2Juan Jose Saucedo-Dorantes3Angel Perez-Cruz4Engineering Faculty, Campus San Juan del Rio, Autonomous University of Queretaro, Av. Rio Moctezuma 249, San Juan del Rio 76807, MexicoEngineering Faculty, Campus San Juan del Rio, Autonomous University of Queretaro, Av. Rio Moctezuma 249, San Juan del Rio 76807, MexicoEngineering Faculty, Campus San Juan del Rio, Autonomous University of Queretaro, Av. Rio Moctezuma 249, San Juan del Rio 76807, MexicoEngineering Faculty, Campus San Juan del Rio, Autonomous University of Queretaro, Av. Rio Moctezuma 249, San Juan del Rio 76807, MexicoEngineering Faculty, Campus San Juan del Rio, Autonomous University of Queretaro, Av. Rio Moctezuma 249, San Juan del Rio 76807, MexicoThe use of computer-aided engineering (CAE) tools has become essential in modern design processes, significantly streamlining mechanical design tasks. The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative operations. A key focus lies in understanding and mitigating the detrimental effects of cavitation on injector surfaces, as it can reduce the injector lifespan and induce material degradation. By combining advanced numerical finite element tools with algorithmic optimization, these adverse effects can be effectively mitigated. The incorporation of computational tools enables efficient numerical analyses and rapid, automated modifications of injector designs, significantly enhancing the ability to explore and refine geometries. The primary goal remains the minimization of cavitation phenomena and the improvement in injector performance, while the collaborative use of specialized software environments ensures a more robust and streamlined design process. Specifically, using the simulated annealing algorithm (SA) helps identify the optimal configuration that minimizes cavitation-induced effects. The proposed approach provides a robust set of tools for engineers and researchers to enhance injector performance and effectively address cavitation-related challenges. The results derived from this integrated framework illustrate the effectiveness of the optimization methodology in facilitating the development of more efficient and reliable injector systems.https://www.mdpi.com/2073-431X/14/6/215computer-aided engineering (CAE)optimization algorithmscavitationcomputational fluid dynamics (CFD)simulated annealing algorithm (SA) |
| spellingShingle | Jose Villagomez-Moreno Aurelio Dominguez-Gonzalez Carlos Gustavo Manriquez-Padilla Juan Jose Saucedo-Dorantes Angel Perez-Cruz Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction Computers computer-aided engineering (CAE) optimization algorithms cavitation computational fluid dynamics (CFD) simulated annealing algorithm (SA) |
| title | Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction |
| title_full | Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction |
| title_fullStr | Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction |
| title_full_unstemmed | Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction |
| title_short | Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction |
| title_sort | enhancing injector performance through cfd optimization focus on cavitation reduction |
| topic | computer-aided engineering (CAE) optimization algorithms cavitation computational fluid dynamics (CFD) simulated annealing algorithm (SA) |
| url | https://www.mdpi.com/2073-431X/14/6/215 |
| work_keys_str_mv | AT josevillagomezmoreno enhancinginjectorperformancethroughcfdoptimizationfocusoncavitationreduction AT aureliodominguezgonzalez enhancinginjectorperformancethroughcfdoptimizationfocusoncavitationreduction AT carlosgustavomanriquezpadilla enhancinginjectorperformancethroughcfdoptimizationfocusoncavitationreduction AT juanjosesaucedodorantes enhancinginjectorperformancethroughcfdoptimizationfocusoncavitationreduction AT angelperezcruz enhancinginjectorperformancethroughcfdoptimizationfocusoncavitationreduction |