Master in mechanical engineering
With the evolution of manufacturing processes from the skill to the industry of the future 4.0 it is necessary to adapt the engineer education to new future challenges. This training will allow proposing to the future engineers or researchers the basic knowledge and skills to understand, use and develop the 4.0 concept based on smart approaches including the digital revolution.
The Master Specialty “Advanced Manufacturing and Materials Science” (AM²S) is directly positioned in France, Europe, Mediterranean Basin and US industrial eco-system by proposing the AM²S courses in English for Master of Science degree (MSc) and PGE 3rd ENSAM / Master of Engineering (MEng).
The objectives are also to increase of the knowledge in the field of manufacturing processes and the material science by multiphysical and multiscale approaches including smart and digital concepts. In other words, this training will focus on scientific innovative areas from the physics and chemistry of materials to the use of manufactured parts by developing the duality between experiment and numerical simulation.
Strengths of the training
The scientific objectives of AM²S training allows to highlight a high-level scientific approach by :
- Improving the knowledges of the relationships between the Material Science and the Manufacturing Processes,
- Using multiphysic and multiscale approaches to better understand the coupling materials/mechanics/processes,
- Mastering the numerical tools for optimizing the design of structures and high values-added parts,
- Using the new technologies based on smart digitalization, big-data, numerical simulations.
These objectives are allowing to the students to access to the PhD degree with knowledges and skills in material sciences and/or smart manufacturing.
The scientific objectives will be completed by several professional skills and vision by :
- Understanding the current and future challenges for the manufacturing industries,
- Knowing the technologies related for advanced and smart manufacturing,
- Developing a transversal approach coupling materials, mechanics, manufacturing in the context of the future industry 4.0,
- Acquiring skills for the choices and uses of materials and manufacturing processes in the field of transport or energy,
- Giving a MSc or MEng level to the students.
The acquisition of theoretical and experimental knowledge on the material science and advanced manufacturing, and the learning of laboratory techniques and scientific instrumentation in these fields improve the insertion in an industrial environment and research laboratories.
The training focuses on the relationship between the material (proprieties vector) and the manufacturing processes for specific functionalization of mechanical parts. With the help of Material Science (MS) elective, the training will provide additional insights on the effects of manufacturing processes on the materials microstructure modifications and their consequences on part uses. With Advanced Manufacturing (AM) elective, the training will provide additional insights on the advanced and smart manufacturing processes with hard material knowledges to understand the multiphysical phenomena involved during material transformation.
More specifically, the scientific skills acquired cover the following areas:
- Ability to select the elementary physical-chemical phenomena involved during manufacturing processes,
- Ability to understand the relationship between these phenomena,
- Ability to select the representative scales for these phenomena in relation with the objectives of the process uses,
- Ability to introduce the functionalization of mechanical parts,
- Ability to optimize the simulation of the processes in relation with the functionalized surfaces,
- Ability to use smart approaches for solve the inverse problems from the functionalization to the technological parameters of processes.
The optimization of material / manufacturing processes relationship requires mastery many experimental and simulation methods. The formation must educate highly skilled scientists and engineers able to understand and to use the associated technologies:
- Ability to understand multiphysical and multiscale analysis for surface and material characterization,
- Ability to choose the best experimental methods to characterize microstructure modification due to the manufacturing processes,
- Ability to instrument manufacturing processes in order to understand and optimize them,
- Ability to use numerical simulation of multiscale and multiphysical processes in relation with experiments,
- Ability to use smart methods to improve the efficiency of numerical model and on-line processes supervision.
Figure 1 and 2 give the flow chart and the program structure of AM²S training. The courses are composed of :
- Core courses for 150 h and 15 ECTS based on 5 mandatory teaching units (TUs) during the first semester. These units will allow to the students to understand the relationship between material and processes with i) the new context of smart and digital concepts (3 TUs), ii) the place of the engineer or the researcher in the world (2 TUs). These last TUs will allow to develop the scientific communication, the team project organization and language.
- Two Elective paths for 150 h and 15 ECTS based on 3 mandatory TUs and 2 elective TUs during the first semester :
- Material Science elective: with this path, the students will improve their knowledge and acquire the skill to well understand the effects of processes on the materials use in relation with the surface/volume functionalization of mechanical parts. The 2 elective TUs will be choose among 5 proposed TUs.
- Advance Manufacturing elective: these optional courses will allow to the students to improve the notion of smart manufacturing by addressing the concept of digital processes based on the strong skills of MSMP laboratory. The 2 elective TUs will be choose among 4 proposed TUs.
- Individual project for 6 months and 30 ECTS during the second semester. The internship will be made in a research structure (laboratory of university, research service in the industry).
The courses are based on lectures, seminar talks, specific training on characterization devices (SEM, XRD…), processing machines (foundry...) and computer for numerical simulation or/and smart computing. For some TUs a small individual or team research project is used to improve the human skills of the students.
The list of TUs is given in table 1.
Figure 1 : Flow chart of AM²S
Figure 2 : Program structure of AM²S
Table 1: List of teaching units
Main scientific and educational coordinators of the MSc
L. Barrallier : MS Responsible & MS Elective, 1.4-SP TU Responsible
M. Bedel : 2b.6e-CAST TU Responsible
F. Chegdani : 2b.2m-TRIBO TU Responsible
D. Depriester : 2a.8e-NUM TU Responsible
M. El Mansori AM Elective Responsible, 2b.1m-SMART, 2b.3m-METRO, 2b.5e-PREC TU Responsible
R. Knoblauch : 2b.1m-SMART
A. Fabre : 2a.3m-INT TU Responsible
M. El Hadrouz : 2b.5e-DIGIT TU Responsible
L. Héraud : 3-PRO TU Responsible
S. Jégou : 1.2-KIN & 2a.4e-EXP TU Responsible
R. Kubler : 2a.2m-MECAMAT & 2a.5e-FM2 TU Responsible
H. Ramezani-Dana : 2b.4e-INOV TU Responsible
The formation is backed by the 2 MSMP Lab. Plateforms :
Manufacturing processes: Modern and efficient experimental means, allowing the implementation of instrumented processes at scale 1, the conduct of experimental physical analyses, the formalisation and modelling of physical and mechanical phenomena arising during the implementation of manufacturing processes (machining, additive manufacturing, foundry...).
Characterizations and Treatments of materials : Optimisation of microstructures in order to improve mechanical properties. Microstructure characterization tools and corresponding methods developed (X-ray diffraction, Observations and Physicochemical Analyses, Thermal, Thermo-Chemical and Mechanical Treatments, Multi-scale Mechanics and Surfaces)
Methods of checking knowledge
The control of knowledge and the evaluation of acquired skills are done by traditional examinations and continuous control. Notes acquired in continuous review are not subject to a second session. The precise control rules are validated each year by the steering committee. An exam session is organized at the end of the first semester. A catch-up session is organized 15 days after the last examination of the initial exam session.
Each teaching unit is marked from 0 to 20 and the validation procedures of the TUs are those in force in the ENSAM Pedagogic Rules. The control procedures are specified by each TU manager. For lessons in the form of lectures, the test may include one or two written exams, at the discretion of the TU managers. Training, projects, courses, are evaluated both on the basis of continuous monitoring and on the basis of a restitution (report and / or defense).
Classical teaching (lectures/courses, training, projects) is used to perform the teaching in this formation. However, new approaches such as inverse courses, active project, … are completed the teaching methods in some TUs.
The objectives of this formation are to train the future PhD students or research engineers with high qualification in their specialties. The working methods and the acquired skills allow the integration in i) the great manufacturing company in several activity domain such transport or energy ii) the research laboratory in mechanical or/and materials engineering. Hard knowledges on technical skills will complete these approaches.
The objectives are also to train the future engineers with a great expertise in material sciences and advanced manufacturing. The goal is to prepare the students to an industry integration with a scientific approach in the domains of the matter transformation or/and part manufacturing. These approaches will complete technical expertise acquired during the industrial/research project.
Scientific back-up :
- MSMP : Mechanical Surfaces and Materials Processing Lab., EA7350, Aix-en-Provence, Châlons-en-Champagne, Lille
- TESS-TAMU (Texas A&M University) Center for Intelligent Multifunctional Materials and Structures – CiMMS, Institute for Manufacturing Systems – IMS, College Station, Texas, USA
Universities : University of Bristol, Danish Technical University, Karlsruhe Institute of Technology, Texas A&M University.
Industrials : Airbus, Renault, PSA, CEA, Safran, Thyssen Group, LISI Automotive, Essilor, Saint-Gobain, Sateco, Still,
Institutionals : Cluster Safe, Henri-Fabre Project, IRT M2P.
Companies in the automotive, rail, aeronautics, space, steel, energy domains
Examples of proposed internship offers / projects carried out
- Stress relaxation in welded joints, application for automotive – PSA
- Nitriding of tool steel, effect of alloying elements – LISI automotive
- Effect of nitriding during electric steel plates fabrication – Thyssen Group
- Anti-friction texturing of cylindrical bearings of crankshafts – Renault
- Data-driven Simulation for Selective Laser Melting – Siemens
- Data-driven tribo-peening process qualification – Saint Gobain
- Foreign and French students can apply to the formation
- M1 graduates only (or ENSAM PGE 2nd year student) in mechanical engineering, material sciences or manufacturing
- Level of English: the minimum requirement is TOEFL iBT 81/120 (or equivalent) or IELTS 6.0
- The selection is based on academic excellence, motivation of the candidate and professional project consistency.
- ENSAM PG2 student : 2B choice (internal procedure), professional experience is not guaranteed except research internship in a company
- Other students : Opening procedure May 4th 2020, dead-line end of July 2020
- Course langage : english
- Number of hours : 300 h for academic corpus part
- ECTS credits targeted by the training : 60
- Annual cost : tuition fee for EU/EEA and non-EU/EEA citizens : around 243€ / academic year and it has to be paid the registration day, at the latest
- Social security costs can be added (maximum 217 €)
- Location (s) of the training: Aix-en-Provence
To apply online : admissions
Send the necessary documents to Pr. Laurent BARRALLIER to the following address :
Campus Arts et Métiers, 2 cours des Arts et Métiers F-13167 Aix-en-Provence, France
Materials Science, Manufacturing, Numerical methods, Big data, Mechanics, Modelling, Residual stress modelling, Kinetics, Phase transformations, Mechanical Behaviour, Experimental investigations, Mechanics of materials, Digital manufacturing, IT, Computer simulation, Industry 4.0, Innovative manufacturing, Numerical Twinning, Manufacturing Creativity, Manufacturing tribology, Friction, Machining, Casting processes and simulation, materials properties, materials design.