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2019/20 Taught Postgraduate Module Catalogue

MECH5195M Automotive Driveline Engineering

15 creditsClass Size: 140

Module manager: Dr Krzysztof Kubiak
Email: K.Kubiak@leeds.ac.uk

Taught: Semester 2 View Timetable

Year running 2019/20

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:

- describe the components and systems which combine to produce a modern automotive drivetrain together with the associated technology;
- apply the principles of engineering science to the design and analysis of the above systems and components;
- demonstrate a detailed knowledge of the operating characteristics of certain key elements of the drivetrain;
- explore alternative approaches to the dynamic modelling of a drivetrain;
- describe important performance and refinement issues.

Learning outcomes
On completion of this module, students should be able to:
1. Demonstrate an in-depth knowledge and understanding of the design and function of the main components and mechanisms found within an automotive driveline.
2. Develop from first principles a range of analytical and numerical models capable of representing the characteristics of the driveline at the component and system levels, each having their own level of complexity appropriate to the problem in question.
3. Apply basic principles of solid mechanics to the detail design of the power transmission elements for steady state and dynamic load cases to provide an assessment of durability.
4. Select appropriate components from catalogues with which to develop a transmission unit capable of meeting a given specification.
5. Undertake the design of selected components within a transmission unit taking into consideration aspects of gear ratio, loads, stresses, materials and operating conditions.
6. Demonstrate an in-depth knowledge of aspects of transmission design linked to noise and vibration harshness and the detail design of particular aspects of key components.
7. Demonstrate an awareness of the linkage between system performance, environmental concerns and customer expectations that together drive the process of system development and integration.

Upon successful completion of this module the following UK-SPEC learning outcome descriptors are satisfied:

A comprehensive understanding of the relevant scientific principles of the specialisation (SM1m, SM7M)
Knowledge and understanding of mathematical and statistical methods necessary to underpin their education in their engineering discipline and to enable them to apply a range of mathematical and statistical methods, tools and notations proficiently and critically in the analysis and solution of engineering problems (SM2m)
A comprehensive knowledge and understanding of mathematical and computational models relevant to the engineering discipline, and an appreciation of their limitations (SM5m)
Understanding of concepts relevant to the discipline, some from outside engineering, and the ability to evaluate them critically and to apply them effectively, including in engineering projects (SM6m, SM9M)
Understanding of engineering principles and the ability to apply them to undertake critical analysis of key engineering processes (EA1m)
Ability to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques (EA2)
Ability both to apply appropriate engineering analysis methods for solving complex problems in engineering and to assess their limitations (EA3m, EA6M)
Understanding of, and the ability to apply, an integrated or systems approach to solving complex engineering problems (EA4m)
Apply advanced problem-solving skills, technical knowledge and understanding, to establish rigorous and creative solutions that are fit for purpose for all aspects of the problem including production, operation, maintenance and disposal (D4)
Knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations (D7m, D10M)
Apply their skills in problem solving, communication, information retrieval, working with others and the effective use of general IT facilities (G1)

Skills outcomes
On completion of this module students will have acquired the following skills:
- analytical
- problem solving
- mathematical derivations
- solutions specifically applied to automotive drivetrain.


Syllabus

- Introduction: Overview of components and systems.
- Clutch: Torque capacity, performance during engagement process, thermal analysis.
- Transmission: Manual and automatic gearboxes, synchronisers, continuously variable transmissions, traction control.
- Belt drive: Power transmission, efficiency, synchronous belts.
- Brakes: Designs, torque calculations, noise and vibration, anti-lock braking systems, thermal analysis.
- Drivetrain NVH: Approaches to dynamic system modelling, performance and refinement issues.

Teaching methods

Delivery typeNumberLength hoursStudent hours
In Course Assessment140.0040.00
Class tests, exams and assessment12.002.00
Lecture271.0027.00
Tutorial61.006.00
Private study hours75.00
Total Contact hours75.00
Total hours (100hr per 10 credits)150.00

Private study

Students are expected to read/revise before and following lectures. They are also expected to complete the example sheets. The assignment is expected to take 40 hours to complete.

Opportunities for Formative Feedback

Formal formative feedback will be provided for the assignment, with further informal feedback through examples sheets and tutorials.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
AssignmentDesign of selected Driveline components40.00
Total percentage (Assessment Coursework)40.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins60.00
Total percentage (Assessment Exams)60.00

1) Coursework marks carried forward and 60% resit exam. OR 2) 100% exam

Reading list

The reading list is available from the Library website

Last updated: 30/04/2019

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