B2088 - Advanced Propulsion Systems M

Course contents

BASIC KNOWLEDGE:

Internal Combustion Engine Fundamentals and Termodynamics

 

Module 1

1. Emission regulation scenario [0.5 ETCS] Effect to engine design trends. Scenario and forecast on new fuels: biofuel, 'hydrocarbon based biofuel' and e-fuels.
2. Spark Ignited Combustion System [1.5 ETCS]. Laminar and turbulent flame speed, fuel ignition and main combustion process. The knock and pre-ignition events. The combustion cycle-to-cycle variation. Design criteria: injector selection and spray characterization. Intake port design. Overexpanded cycles. TJI systems. Brief overview on other relevant technologies
3. Compression Ignition non-premixed combustion [1 ETCS ]. Spray dynamics and combustion chamber fluid dynamics characteristics, fuel auto-ignition, non-premixed combustion. Emission formation mechanisms.
   

Module 2

1. Advanced Combustion systems based on auto-ignition of fully- or partially-premixed charge (HCCI,GDCI, RCCI, SPCCI) [0.5 ETCS]: effect of fuel specifications and injection strategies. Rate of Heat release and pressure ripples. Fuel properties.
2. 5. Hydrogen for Automotive application [1.0 ETCS]. -Main physical and chemical properties of hydrogen for automotive applications.
3. 6. Fuel cell for Automotive Application [1.5 ECTS]: principle of operation, system overview (Coolant subsystem, Hydrogen subsystem, Air subsystem, High-voltage subsystem), hybridization strategy (soft or hard), FC components. Hydrogen application in modern S.I. internal combustion engines: injection, ignition and combustion, design of components
   

Readings/Bibliography

Mandatory:

Lecturer note and presentation provided during the course in advance by uploading on the University dedicated web site Moodle.


Optional:

1. “Internal Combustion Engine Fundamentals”, J.B., Heywood, Mc Graw Hill.

2. SAE International Technical papers

Teaching methods

The course is given by teaching classes and students are encouraged to attend in order to improve the learning process and learning outcomes. Attending is not enforced and does not influence the final examination score.

The course includes: theoretical lectures made with the aid of multimedia systems. The didactic material is uploaded on the University website;

 

Assessment methods

The exam includes oral test only.

The oral exam, for testing the understanding and application of the course content, consists of two questions.

The examinations would check:

1. Knowledge of thermofluid dynamic process

2. Ability to cross correlate theory of physical processes and the final decision of the component and system specification in o order to accomplish a given combustion/propulsion system target

The mimimum score is 18/30, the maximum is 30/30 with honours.

The minimum score is not achieved if large deficineces in learning outcomes are exhibited: i.e., missing main hypothesis, miss any knowledge of engine system, components and processes principles , etc.

Examinations schedule is available in advance on the University of Bologna web site AlmaEsami. Students willing to take the exam must join to the exam student list on the web site AlmaEsami.

A shared file is also available on Virtuale

Students are required to show their own ID before taking the exam.

 

STUDENTS WITH TEMPORARY OR PERMANENT DISABILITIES

It is recommended to contact the relevant University office in good time (https://site.unibo.it/studenti-con-disabilita-e-dsa/it). They will be responsible for suggesting any adjustments to the students concerned. These adjustments must be submitted to the instructor for approval 15 days in advance, who will evaluate their suitability, also taking into account the course's learning objectives.

 

STUDENT-ATHLETE/WORKER STATUS

For each exam session, students who have acquired student-atleta/student-worker status may request an alternative exam session, i.e., a replacement for one of the regular exam sessions. Students must contact the instructor at least 14 days before the first exam call of the session to identify a common date for all requests received.

 

ARTIFICIAL INTELLIGENCE

With regard to assessment and evaluation activities, the use of Artificial Intelligence (AI) is prohibited. Any use of AI constitutes a violation of academic integrity.

Teaching tools

The Course will be held by the use of:

- Slides and video projection

Office hours

See the website of Gian Marco Bianchi

See the website of Valerio Mariani