Load collective generation for fatigue calculation of Shift Forks
Volvo Business Services AB / Maskiningenjörsjobb / Göteborg
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In a truck Automatic Manual Transmission the components used to engage and disengage different gears are subjected to dynamics loads that's dependent on many different parameters that effect how the teeth in the dog clutch will engage with each other. For example, the initial speed and relative position of the teeth at the instance of contact can drastically change the amount of load the shifting components are subjected too. Or the inertia of the rotating parts that varies with the transmission in different gears.
One of these components is the Shift Fork, which is used to apply axial motion on the rotating part that contains the dog clutch teeth (sleeve).
Creating a load collective to evaluate the Shift Fork becomes a question of combining the different types of shifts into a representative load collective. Some of this information such as the number of shifts to each gear can be estimated with driving cycles, but creating the dynamics of the dog clutch teeth meshing is not as easily estimated. The two main ways is either from testing the shifting in a rig, or through 1D simulations of the dynamics of the shifting components.
Description of thesis work
The goal of the thesis project is to use a collective of shifts from testing to create a real-world fatigue load collective and use that to estimate the fatigue life of a Shift Fork. This can be divided in three minor tasks.
1. Creating the load collective from the test results. This could be done by grouping based on the "quality" of the shift that can be or by the initial condition before the shift sequence starts.
2. Use the load collective and apply it on a pre-existing FE-model to get stress results. The input to this analysis could be strain-gage data on the fork, displacements/velocities or applied loads from the cylinder that drives the axial motion.
3. Correlate a GT Suite model of the shifting mechanics to the test data as a collective. This involves running a similar set of shifts as was create in the test and tuning the model to give the same distribution in types of shifts.
The thesis will be carried out at Volvo GTT.
Qualifications & Key Attributes
2 students from master's program Applied mechanics, Engineering Physics or equivalent
Positive attitude, willing to learn, disciplined, good communication skills, humble, result oriented
Thesis Level: Master
Language: English
Starting date: 2023-01-16
Number of students: 2
Tutors
Axel Josefsson, Volvo GTT PE Driveline, +46 31 322 37 10
Fernanda Anschau Domingues Cabral, Volvo GTT PE Driveline, +46 31 322 05 21
https://www.volvogroup.com/en/news-and-media/news/2021/may/volvo-trucks-i-shift-transmission-technology.htmlPubliceringsdatum2022-10-11Så ansöker duSista dag att ansöka är 2022-10-31
Klicka på denna länk för att göra din ansökanFöretagVolvo Business Services AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Volvo Business Services AB (org.nr 556029-5197)
405 08 GÖTEBORG
Arbetsplats Volvo Group
Jobbnummer 7064316
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