Postgraduate Diploma in Grip and Wear Modelling for 2R
800-hour online Postgraduate Diploma in Grip and Wear Modelling for 2R. 8 modules covering UN R75, ISO 4649 and MF-Tyre/MF-Swift. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Explain the physical mechanisms of friction between rubber and road surface.
Model contact forces using brush models and the Magic Formula.
Estimate available grip in real time using observers.
Analyse the wear mechanisms of the tread.
Predict tyre service life using dissipated energy models.
Plan grip and wear tests and correlate them with real-world use.
Propose tyre solutions that balance safety and durability.
Who it's for
- Tyre engineer looking to specialise in Grip and Wear Modelling for 2R.
- Vehicle dynamics engineer looking to specialise in Grip and Wear Modelling for 2R.
- Contact modelling specialist looking to specialise in Grip and Wear Modelling for 2R.
- Grip testing engineer looking to specialise in Grip and Wear Modelling for 2R.
- Fleet data analyst looking to specialise in Grip and Wear Modelling for 2R.
- Traction control systems engineer looking to specialise in Grip and Wear Modelling for 2R.
- Graduates in engineering or science looking to enter tyre manufacturing.
What you'll work with
- UN R75
- ISO 4649
- ASTM E303
- ISO 13473-1
- ETRTO Standards Manual
- ISO 4249-2
- ASTM E1911
8 modules · 800 h
1.1Adhesion and hysteresis in contact1.2Macrotexture and microtexture scales1.3Real contact area and Persson's theory1.4Influence of sliding speed1.5Effect of water and lubricating film1.6Contaminants, dust and road paint1.7Static versus dynamic friction1.8Reference surfaces for testing1.9Roughness of track and road surfaces1.10Practice: texture measurement with a laser profilometer
2.1Brush model and pressure distribution2.2Magic Formula for forces and moments2.3Lateral force from slip angle and camber2.4Combined longitudinal-lateral interaction2.5Self-aligning and overturning moment2.6Dependence on vertical load2.7TMeasy models and simplified alternatives2.8Coefficient identification using optimisation2.9Tyre models for motorcycles at extreme lean2.10Workshop: fitting a Magic Formula curve
3.1Wheel force observers3.2Extended and unscented Kalman filters3.3Estimation of the maximum available friction coefficient3.4Use of IMU and wheel speed3.5Detection of low-grip surfaces3.6Fusion with GNSS data3.7Robustness to noise and saturation3.8Application to traction control3.9Grip estimation on banked curves3.10Laboratory: μ observer with real data
4.1Abrasive, fatigue and adhesive wear4.2Archard's law and rubber adaptations4.3Friction energy as a predictor4.4Irregular and stepped wear4.5Formation of graining and blistering4.6Influence of camber and engine use4.7Laboratory abrasion testing4.8Tread depth and profile measurement4.9Lateral sliding wear in cornering4.10Case study: wear map of a rear tyre
5.1Urban and sporty riding cycles5.2Accumulation of dissipated energy per lap5.3Finite element wear models5.4Profile change and effect on dynamics5.5Prediction of service life in kilometres5.6Influence of pressure and load5.7Model calibration with fleets5.8Prediction uncertainty5.9Wear on e-scooters and e-bikes5.10Practice: service life prediction with Python
6.1Roller rigs and flat-track test rigs6.2Friction measurement trailers6.3British pendulum and surface measurement6.4Wet braking tests6.5Cornering tests at the limit of grip6.6Wear measurement on a test fleet6.7Experimental design and statistical analysis6.8Correlation between laboratory and road6.9Grip tests on cobblestones and road markings6.10Workshop: wet grip test plan
7.1Tyre selection for type approval7.2Trade-off between grip and durability7.3Tyre management in delivery fleets7.4Sustainability and particle emissions7.5User information and labelling7.6Effect of road surface condition on accidents7.7Predictive maintenance based on wear7.8Integration with electronic controls7.9All-weather and mixed-use tyres7.10Case study: tyre for an urban fleet scooter
8.1Definition of use and vehicle8.2Database of available tests8.3Identified grip model8.4Dissipated energy wear model8.5Simulation of usage scenarios8.6Parameter sensitivity analysis8.7Design and usage recommendations8.8Validation against measurements8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MF-Tyre/MF-Swift, FTire, MATLAB/Simulink, Python (NumPy, SciPy), Abaqus, in free, academic or evaluation versions. Tests are studied using real friction measurement procedures with the British pendulum on different road surfaces, compound abrasion testing on a rotating drum, and wear monitoring on a test fleet. Assessment is continuous across each module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the physical mechanisms of friction between rubber and road surface.
Model contact forces using brush models and the Magic Formula.
Estimate available grip in real time using observers.
Analyse the wear mechanisms of the tread.
Predict tyre service life using dissipated energy models.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- A level of Spanish sufficient to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses MF-Tyre/MF-Swift, FTire, MATLAB/Simulink, Python (NumPy, SciPy), Abaqus. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma, awarded on passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or diploma in the same area are recognised in the advanced programme. Check the recognition policy when you enrol.
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