Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach
Understanding the behavior of tires on uneven and varied road surfaces poses a substantial challenge for vehicle ride engineers. To accurately predict road load forces on the axle, various numerical ride models must be utilized to incorporate a realistic road enveloping algorithm. This algorithm fil...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Vehicles |
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| Online Access: | https://www.mdpi.com/2624-8921/6/4/81 |
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| author | Vikas Birajdar Seyed Jamaleddin Mostafavi Yazdi Madhu Kandampadath Mohammad Behroozi Javad Baqersad |
| author_facet | Vikas Birajdar Seyed Jamaleddin Mostafavi Yazdi Madhu Kandampadath Mohammad Behroozi Javad Baqersad |
| author_sort | Vikas Birajdar |
| collection | DOAJ |
| description | Understanding the behavior of tires on uneven and varied road surfaces poses a substantial challenge for vehicle ride engineers. To accurately predict road load forces on the axle, various numerical ride models must be utilized to incorporate a realistic road enveloping algorithm. This algorithm filters the geometries of uneven surfaces and must be seamlessly integrated with a rigid ring model. The complexity of predicting and calculating dynamic tire response increases with varying obstacle dimensions. A two-dimensional, five-degree-of-freedom rigid ring ride model based on Short Wavelength Intermediate Frequency (SWIFT) has been developed, employing a tandem cam enveloping algorithm to filter short wavelength road obstacles. Selecting generalized cam parameters to ensure high accuracy and an enhanced runtime performance poses a challenge in specific ride simulations. A design of experiments (DOE) approach is used to identify key control factors related to the quasi-static tandem cam enveloping model and dynamic rigid ring model, which significantly affect the enveloping response. DOE findings suggest optimization strategies for selecting tire parameters to achieve a high test-to-simulation correlation with improved computational efficiency. Additionally, the study confirms the robustness of these predictions against external noise factors, including variations in tires and road conditions. |
| format | Article |
| id | doaj-art-6db6e701fb114eb683af1b565bcef6ed |
| institution | Kabale University |
| issn | 2624-8921 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vehicles |
| spelling | doaj-art-6db6e701fb114eb683af1b565bcef6ed2024-12-27T14:58:19ZengMDPI AGVehicles2624-89212024-09-01641690170310.3390/vehicles6040081Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE ApproachVikas Birajdar0Seyed Jamaleddin Mostafavi Yazdi1Madhu Kandampadath2Mohammad Behroozi3Javad Baqersad4NVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USANVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USANVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USAIndependent Researcher, Birmingham B15 2TT, UKNVH & Experimental Mechanics Laboratory, Kettering University, 1700 University Avenue, Flint, MI 48504, USAUnderstanding the behavior of tires on uneven and varied road surfaces poses a substantial challenge for vehicle ride engineers. To accurately predict road load forces on the axle, various numerical ride models must be utilized to incorporate a realistic road enveloping algorithm. This algorithm filters the geometries of uneven surfaces and must be seamlessly integrated with a rigid ring model. The complexity of predicting and calculating dynamic tire response increases with varying obstacle dimensions. A two-dimensional, five-degree-of-freedom rigid ring ride model based on Short Wavelength Intermediate Frequency (SWIFT) has been developed, employing a tandem cam enveloping algorithm to filter short wavelength road obstacles. Selecting generalized cam parameters to ensure high accuracy and an enhanced runtime performance poses a challenge in specific ride simulations. A design of experiments (DOE) approach is used to identify key control factors related to the quasi-static tandem cam enveloping model and dynamic rigid ring model, which significantly affect the enveloping response. DOE findings suggest optimization strategies for selecting tire parameters to achieve a high test-to-simulation correlation with improved computational efficiency. Additionally, the study confirms the robustness of these predictions against external noise factors, including variations in tires and road conditions.https://www.mdpi.com/2624-8921/6/4/81dynamic tire responseroad enveloping algorithmrigid ring modeldesign of experiments (DOE) |
| spellingShingle | Vikas Birajdar Seyed Jamaleddin Mostafavi Yazdi Madhu Kandampadath Mohammad Behroozi Javad Baqersad Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach Vehicles dynamic tire response road enveloping algorithm rigid ring model design of experiments (DOE) |
| title | Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach |
| title_full | Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach |
| title_fullStr | Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach |
| title_full_unstemmed | Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach |
| title_short | Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach |
| title_sort | influence of tire parameters on contact patch and axle force generation against short obstacles using doe approach |
| topic | dynamic tire response road enveloping algorithm rigid ring model design of experiments (DOE) |
| url | https://www.mdpi.com/2624-8921/6/4/81 |
| work_keys_str_mv | AT vikasbirajdar influenceoftireparametersoncontactpatchandaxleforcegenerationagainstshortobstaclesusingdoeapproach AT seyedjamaleddinmostafaviyazdi influenceoftireparametersoncontactpatchandaxleforcegenerationagainstshortobstaclesusingdoeapproach AT madhukandampadath influenceoftireparametersoncontactpatchandaxleforcegenerationagainstshortobstaclesusingdoeapproach AT mohammadbehroozi influenceoftireparametersoncontactpatchandaxleforcegenerationagainstshortobstaclesusingdoeapproach AT javadbaqersad influenceoftireparametersoncontactpatchandaxleforcegenerationagainstshortobstaclesusingdoeapproach |