PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle

Transcription

1 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Number of scholarship offered 5 Department DIPARTIMENTO DI MECCANICA Description of the Research Area Industrial production in Europe accounts for the 16% of the European GPD and is a keydriver for innovation, productivity and job creation. As stated in the road map of the PPP Factory of the Future "future factory will be clean, highly performing, environmentally friendly and socially sustainable". This research area focuses on improving the performance of the industry of the future through the innovative application of technologies, processes and methods to the design and manufacturing of industrial products. The entire life cycle of the product is considered and in particular: R&D&I activities for product and process innovation product ideation and development manufacturing process investigation, optimisation, planning and control manufacturing system design and planning product service and disposal Hence, all the activities required to transform ideas into final products making use of zero defect, affordable, personalised, and eco-efficient manufacturing processes are integrated and investigated within the context of a highly competitive and globalized world from prototyping to mass production. PhD candidates working in this area will be involved in research activities that address the above targets through projects possibly involving other universities and research institutes, as well as Italian and international companies interested in the same topics. There are 5 available scholarships in this area (additional grants may be available after May 21st): - 1: generic - 3: thematic (to be specifically selected during application procedure) Stampato il 16/04/ / 2

2 - 1: interdoctoral (to be specifically selected during application procedure) One generic scholarship, in the research field of: -METHODS AND TOOLS FOR NEW PRODUCT DEVELOPMENT Three thematic scholarships, on the following topics: - ADVANCED SMART MANUFACTURING; - DEVELOPMENT AND QUALIFICATION OF NETWORKED MONITORING SYSTEMS; - SENSORS, MEASUREMENT TECHNIQUES, BIG DATA AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY 4.0. One thematic interdoctoral scholarship, jointly supervised by the PhD Programme in Mechanical Engineering and by the PhD Programme in Structural Seismic and Geotechnical Engineering, is available on the following research topic: - DESIGN, PROCESSING AND QUALIFICATION OF 4D SMA STENTS DIRECTLY MANUFACTURED BY ADDITIVE PROCESSES Applicants should select thematic scholarships following the instructions provided in the call for application/application procedure. Stampato il 16/04/ / 2

3 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Research Field: ADVANCED AND SMART MANUFACTURING Monthly net income of PhDscholarship (max 36 months) In case of a change of the welfare rates during the three-year period, the amount could be modified. Context of the research activity Motivation and objectives of the research in this field The fourth industrial revolution (namely Industry 4.0) calls for a paradigm shift to address various challenges including digital production, big data analysis, global production and competition, manufacturing at multiple scales, green manufacturing. In this framework, advanced and smart manufacturing processes and systems act as key enabling technologies for providing high-precision, high-value and high-performance custom-designed components at minimum waste.the research activity carried out with this scholarship can specifically focus on one or more subtopics within these main research frameworks: Advanced manufacturing processes Among others, additive manufacturing for metals and polymers, micromachining, laser and waterjet based technologies are the available technological platform where production digitalisation and self-consciousness can be pursued. Research at this level can concern new process development as well as innovative hybrid solutions conception. Smart process monitoring, inspection, and control Smart solutions for sensing and inspection and innovative strategies for intelligent data fusion, big data analysis, quality process monitoring, control and inspection are key factors to achieve sustainable zero-defect manufacturing. Advanced manufacturing systems 1 / 4

4 Innovative solutions for configuring and managing manufacturing and de-manufacturing systems are eventually needed to drive the whole production system toward smart, high-performance, and sustainable solutions. Methods and techniques that will be developed and used to carry out the research Rigorous experimental methods, physical models and numerical simulations will be combined to design, realize and validate the innovative solutions proposed. Teamworking will be stimulated with the aim of providing appropriate solutions to actual challenges, which require multidisciplinary skills. Educational objectives Doctoral candidate will acquire competences on design, optimisation, and sensing/control of new advanced manufacturing processes and systems. Italy and Lombardy Region have leading positions in manufacturing worldwide. List of Universities, Companies, Agencies and/or National or International Institutions that are cooperating in the research: Job opportunities MIT - Massachusetts Institute of Technology TUM - Technical University of Munich ESA - European Space Agency Shanghai Jiao Tong University Technion - Israel Institute of Technology MUSP Lab CNR - ITIA Ansaldo Energia S.p.A. BLM Group GE Avio s.r.l. GF Machining Solution Leonardo AgustaWestland S.p.A. Marposs S.p.A. Precicast S.A. Prima Industrie S.p.A. 2 / 4

5 Tenova S.p.A. Our last survey on MeccPhD Doctorates highlighted a 100% employment rate within the first year and a 35% higher salary, compared Master of Science holders in the same field. Composition of the research group Name of the research directors 7 Full Professors 4 Associated Professors 5 Assistant Professors 20 PhD Students Prof. Giovanni Moroni - Head of the Research line Contacts Manufacturing and Production Systems Research Line phd-dmec@polimi.it Additional support - Financial aid per PhD student per year (gross amount) Housing - Foreign Students -- Housing - Out-of-town residents (more than 80Km out of Milano) -- Additional information: educational activity, teaching assistantship, computer availability, desk availability, any other information Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences): 2nd year: euro 3rd year: euro Accommodation in Politecnico's Residences ( is available for PhD Candidates; special rates (250 euro/month) will be applied to selected out-of-town candidates (detailed info in the call for application). Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor. An increase in the scholarship will be applied for periods up to 6 months (approx 550 euro/month - net amount). Teaching assistantship: availability of funding in recognition of supporting teaching activities 3 / 4

6 by the PhD candidate. There are various forms of financial aid for activities of support to the teaching practice. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations. Computer availability: 1st year: individual use 2nd year: individual use 3rd year: individual use Desk availability: 1st year: individual use 2nd year: individual use 3rd year: individual use 4 / 4

7 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Research Field: DESIGN, PROCESSING AND QUALIFICATION OF 4D SMA STENTS DIRECTLY MANUFACTURED BY ADDITIVE PROCESSES Monthly net income of PhDscholarship (max 36 months) In case of a change of the welfare rates during the three-year period, the amount could be modified. Context of the research activity Interdisciplinary PhD Grant The PhD research will be carried out in collaboration with research groups of the PhD programme in "STRUCTURAL SEISMIC AND GEOTECHNICAL ENGINEERING". See for further information. Motivation and objectives of the research in this field Additive manufacturing opens new opportunities to the personalization of SMA Ni-Ti vascular stents, e.g. new design of complex and biomorphic shapes, 4D printing, new tailored materials with gradient composition or surfaces with peculiar topography, respectively. However, producing stents directly by selective laser melting (SLM) poses challenging issues in terms of miniaturization, mechanical properties and surface functionality. Aim of the research is to investigate from a design and manufacturing perspective how actual limits of the additive processes can be overcome and personalized stents with target shape/surface/performances can be obtained, through a priori knowledge (process and product modelling) and in line process monitoring and control, enabling significant progress in the research, clinical care, and policy to improve the patient life quality. 1 / 4

8 Methods and techniques that will be developed and used to carry out the research The two interdisciplinary areas involved in the proposal are: 1) CAD/FEA design/simulation 2) new manufacturing methods throughout metal additive processes (SLM).The main methods in carrying out this research will be: Mechanical design and optimization of the 4D stent structure as a function of mechanical performances and peculiarities of SLM (through CAD and FEA); Design and definition of new SLM methods of producing smart 4D miniaturized stents with the target shape, surface topography, tailored mechanical and biological properties; SLM process sensing, monitoring and control as well as stents inspection and qualification with x-ray tomography as key factors to achieve sustainable zero-defect manufacturing. This PhD thesis is funded by Politecnico di Milano as a co supervised Interdoctoral thesis, with a double supervision of the PhD candidate provided by two different doctoral programmes, specifically the Doctoral Programme in Mechanical Engineering and the Doctoral Programme in Structural Seismic and Geotechnical Engineering. Educational objectives Strong multi-disciplinary training by integrating skills and competences in stent design, Ni-Ti device computational modelling and performance testing (Dept. of Civil and Environment Engineering) together with competences in new additive processes development, sensing and monitoring (Mechanical Engineering Dept.). [1] [2] -ricerca/labs-laboratory-of-biological-structure-mechanics/ [3] [4] 2 / 4

9 The additive manufacturing market currently lacks researchers and professionals with strong interdisciplinary and inter-sectoral skills. This programme is aimed at bridging this gap. The development of novel integrated solutions will also pave the way to start-up initiatives and opportunities. List of Universities, Companies, Agencies and/or National or International Institutions that are cooperating in the research: Job opportunities 1. The University of Queensland, School of Mechanical and Mining Engineering, Centre for Advanced Materials Processing and Manufacturing, Australia. 2. Laval University, Laboratory for Biomaterials and Bioengineering, Quebec, Canada. 3.ICMATE CNR, Lecco, Italy. 4. Chinese Academy of Sciences, Division of Specialized Materials and Devices, Institute of Metal Research, Shenyang, China. 5. Istituto di Cardiologia, Università Cattolica del Sacro Cuore, Roma, Italy. 6.LivaNova, Saluggia, Italia. Our last survey on MeccPhD Doctorates highlighted a 100% employment rate within the first year and a 35% higher salary, compared Master of Science holders in the same field. Composition of the research group Name of the research directors 3 Full Professors 1 Associated Professors 2 Assistant Professors 6 PhD Students Prof. Barbara Previtali, prof. Lorenza Petrini Contacts Barbara Previtali - Dipartimento di Meccanica Lorenza Petrini - Dipartimento di Ingegneria Civile e Ambientale 3 / 4

10 Additional support - Financial aid per PhD student per year (gross amount) Housing - Foreign Students -- Housing - Out-of-town residents (more than 80Km out of Milano) -- Additional information: educational activity, teaching assistantship, computer availability, desk availability, any other information Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences): 2nd year: euro 3rd year: euro Accommodation in Politecnico's Residences ( is available for PhD Candidates; special rates (250 euro/month) will be applied to selected out-of-town candidates (detailed info in the call for application). Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor. An increase in the scholarship will be applied for periods up to 6 months (approx 550 euro/month - net amount). Teaching assistantship: availability of funding in recognition of supporting teaching activities by the PhD candidate. There are various forms of financial aid for activities of support to the teaching practice. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations. Computer availability: 1st year: individual use 2nd year: individual use 3rd year: individual use Desk availability: 1st year: individual use 2nd year: individual use 3rd year: individual use 4 / 4

11 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Research Field: DEVELOPMENT AND QUALIFICATION OF NETWORKED MONITORING SYSTEMS Monthly net income of PhDscholarship (max 36 months) In case of a change of the welfare rates during the three-year period, the amount could be modified. Context of the research activity Motivation and objectives of the research in this field The strong development of networked measuring devices and the possibility to process huge amounts of data in real time is deeply modifying the role of measurements in many different application fields. Industry 4.0 is largely based on data exchange in manufacturing technologies. Moreover, structural health monitoring is quickly evolving, thanks to the possibility to share the data in real time in the cloud and to the availability of efficient processing approaches for big data manipulation. In this scenario, the availability of reliable and accurate data plays a crucial role. This project is aimed at the development and metrological qualification of measuring solutions for networked sensors and large data manipulation. The main goals of the research include the optimization of the measuring approaches and data analysis to obtain a reliable representation of the monitored structure or process. The joint analysis and optimization of the data acquisition and data processing for a network measurement will be a key point of the research. Methods and techniques that will be developed and used to carry out the research Development of new sensing solutions, based on modern low-cost and low-power hardware, to obtain efficient and reliable measuring nodes. Development of data processing strategies to obtain information on the monitored system by synergic analysis of data from a 1 / 3

12 number of sensors. Educational objectives We provide doctoral candidates with high-level scientific training, fostering and refining research and problem solving abilities by focusing on both theoretical and experimental skills. A PhD in Mechanical Engineering will be able to layout, draft and carry on original research, by leading a research group or working in a team. National and international academic and non-academic institutions and organizations, engaged in innovation, research and technical development; high-tech SMEs, government departments. Job opportunities List of Universities, Companies, Agencies and/or National or International Institutions that are cooperating in the research: University of Sheffield ( KU Leuven ( Our last survey on MeccPhD Doctorates highlighted a 100% employment rate within the first year and a 35% higher salary, compared Master of Science holders in the same field. Composition of the research group Name of the research directors 1 Full Professors 1 Associated Professors 1 Assistant Professors 2 PhD Students Prof. Bortolino Saggin, Prof. Emanuele Zappa bortolino.saggin@polimi.it emanuele.zappa@polimi.it Contacts phd-dmec@polimi.it Additional support - Financial aid per PhD student per year (gross amount) Housing - Foreign Students -- Housing - Out-of-town residents -- 2 / 3

13 (more than 80Km out of Milano) Additional information: educational activity, teaching assistantship, computer availability, desk availability, any other information Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences): 2nd year: euro 3rd year: euro Accommodation in Politecnico's Residences ( is available for PhD Candidates; special rates (250 euro/month) will be applied to selected out-of-town candidates (detailed info in the call for application). Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor. An increase in the scholarship will be applied for periods up to 6 months (approx 550 euro/month - net amount). Teaching assistantship: availability of funding in recognition of supporting teaching activities by the PhD candidate. There are various forms of financial aid for activities of support to the teaching practice. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations. Computer availability: 1st year: individual use 2nd year: individual use 3rd year: individual use Desk availability: 1st year: individual use 2nd year: individual use 3rd year: individual use 3 / 3

14 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Research Field: METHODS AND TOOLS FOR NEW PRODUCT DEVELOPMENT Monthly net income of PhDscholarship (max 36 months) In case of a change of the welfare rates during the three-year period, the amount could be modified. Motivation and objectives of the research in this field Context of the research activity Recent statistics reveal that two out of three New Product Development (NPD) initiatives turn out into market failures despite in most cases the new product fulfils the design specification. This research field concerns the methods and tools providing systematic support to product innovation from idea generation to concept verification and development, with the overall goal of increasing innovation success rates. The specific research objectiveof the thesis will concern at least one of the followings: design creativity enhancement, early concept evaluation through functional digital mock-ups,design automation for improving the efficiency and robustness of the design process. Methods and techniques that will be developed and used to carry out the research The research will be developed by referring to both emerging and established methodologies and technologies such as: Collaborative creativity, Bio- Inspired Design, TRIZ, Interactive Virtual Prototyping, Augmented Reality, Virtual Reality, Reverse Engineering, Knowledge Based Engineering (KBE), multiobjectiveoptimization. Educational objectives Operational competences on up-to-date methodologies and technologies for the development of innovative and user-friendly products. Capability to interpret technology evolution and the dynamics of product innovation. R&D 1 / 1 / 4

15 3 skills for scientific and industrial applications. Soft skills about delivery of scientific talks, drafting of project reports and scientific papers, delivery of presentations to industry. The research experience in this area will nurture the ability to develop research activities within an academic and/or an industrial context, according to the specific objectives of the thesis. Therefore, career opportunities will be related to university research and educational position, industrial R&D departments, key roles in theproduct development cycle such as product manager, process manager etc. Job opportunities List of Universities, Companies, Agencies and/or National or International Institutions that are cooperating in the research: 1.University of Bath (United Kingdom) 2.Grenoble INP (France) 3.Concordia University (Canada) 4.TU Delft 5.IITB Mumbai 6.University of Kobe Our last survey on MeccPhD Doctorates highlighted a 100% employment rate within the first year and a 35% higher salary, compared Master of Science holders in the same field. Composition of the research group Name of the research directors 3 Full Professors 3 Associated Professors 5 Assistant Professors 6 PhD Students Proff. Bordegoni, Cascini, Colombo Contacts monica.bordegoni@polimi.it gaetano.cascini@polimi.it / 4

16 Additional support - Financial aid per PhD student per year (gross amount) Housing - Foreign Students -- Housing - Out-of-town residents (more than 80Km out of Milano) -- Additional information: educational activity, teaching assistantship, computer availability, desk availability, any other information Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences): 2nd year: euro 3rd year: euro Accommodation in Politecnico's Residences ( is available for PhD Candidates; special rates (250 euro/month) will be applied to selected out-of-town candidates (detailed info in the call for application). Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor. An increase in the scholarship will be applied for periods up to 6 months (approx 550 euro/month - net amount). Teaching assistantship: availability of funding in recognition of supporting teaching activities by the PhD candidate. There are various forms of financial aid for activities of support to the teaching practice. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations. Computer availability: 1st year: individual use 2nd year: individual use 3rd year: individual use Desk availability: 1st year: individual use 3 / 4

17 2nd year: individual use 3rd year: individual use 4 / 4

18 PhD in INGEGNERIA MECCANICA / MECHANICAL ENGINEERING - 34th cycle Research Area n. 3 - Engineering Design and Manufacturing for the Industry of the Future Research Field: SENSORS, MEASUREMENT TECHNIQUES, BIG DATA AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY 4.0 Monthly net income of PhDscholarship (max 36 months) In case of a change of the welfare rates during the three-year period, the amount could be modified. Context of the research activity Motivation and objectives of the research in this field The availability of low cost sensors has changed our world. The IoT increasingly affect the way with which people interact with objects, and industries are facing a significant change within the 4 th industrial revolution. The vision of Industry 4.0 evidences new requirements for sensors and data processing. Machines learning and artificial intelligence are the key to grant a more flexible production, faster times and effective processes.this PhD thesis will aim at producing novel measurement systems and techniques for MSME, compliant with the paradigms of Industry 4.0, i.e.: 1.Full process automation, predictive maintenance; 2. Acquisition of huge amount of data, that cannot be typically analyzed using standard techniques; 3.Cloud monitoring and networked machines; 4.Artificial intelligence and machine learning. Methods and techniques that will be developed and used to carry out the research From one side the availability of new low cost sensors challenges the design of new monitoring systems od machines and even more of production plants. On the other side, traditional data analysis techniques fails to cope with the advent of IoT and the generation of huge 1 / 4

19 amounts of structured or unstructured data. Big data analysis requires new technologies to cope with traditional analytics.the skills that will be provided therefore start from a deep knowledge of sensors and of embedded systems. Big data analysis knowledge will be built on the top of it, developing programming skills, as well as experience with relational and non -relational databases. The candidate will work in cooperation with industries based in the Lecco province, in order to develop innovative measurement techniques and data analysis procedures for next-generation machineries. Educational objectives The candidate, at the end of the PhD programme, will be able to design industry 4.0 compliant systems. The PhD will have skills typical of data scientists, with a strong mechanical engineering background. The multidisciplinary approach will be pursued with an interdepartmental programme focused on the request of SME. According to Forbes, the net salary of big data scientists, before bonuses and compensation, exceeds 100?000 $/year. The skills developed during the PhD programme allow the candidate to work in any R&D department of companies designing and manufacturing machines. The recent PhD candidates have found positions in different sectors, ranging from machines manufacturing to Rolls Royce, as well as foreign universities or research centers. Job opportunities List of Universities, Companies, Agencies and/or National or International Institutions that are cooperating in the research: Univerlecco Our last survey on MeccPhD Doctorates highlighted a 100% employment rate within the first year and a 35% higher salary, compared Master of Science holders in the same field. Composition of the research group 2 Full Professors 3 Associated Professors 4 Assistant Professors 4 PhD Students 2 / 4

20 Name of the research directors Prof. Marco Tarabini Contacts Additional support - Financial aid per PhD student per year (gross amount) Housing - Foreign Students -- Housing - Out-of-town residents (more than 80Km out of Milano) -- Additional information: educational activity, teaching assistantship, computer availability, desk availability, any other information Financial aid is available for all PhD candidates (purchase of study books and materials, funding for participation in courses, summer schools, workshops and conferences): 2nd year: euro 3rd year: euro Accommodation in Politecnico's Residences ( is available for PhD Candidates; special rates (250 euro/month) will be applied to selected out-of-town candidates (detailed info in the call for application). Our candidates are strongly encouraged to spend a research period abroad, joining high-level research groups in the specific PhD research topic, selected in agreement with the Supervisor. An increase in the scholarship will be applied for periods up to 6 months (approx 550 euro/month - net amount). Teaching assistantship: availability of funding in recognition of supporting teaching activities by the PhD candidate. There are various forms of financial aid for activities of support to the teaching practice. The PhD student is encouraged to take part in these activities, within the limits allowed by the regulations. Computer availability: 1st year: individual use 2nd year: individual use 3rd year: individual use 3 / 4

21 Desk availability: 1st year: individual use 2nd year: individual use 3rd year: individual use 4 / 4