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IK4 Doctorados

 

IDEKO

Research Center that offers a comprehensive solution in manufacturing and industrial production technology to industry.

 
DOCTORATES

IDEKO

Industry 4.0, smart manufacturing, machine tool monitoring

IDEKO

START: 10/2017

OPEN

OBTAINING DOCTOR DEGREE: 10/2020

Description

The machine tool industry has traditionally developed according to machining efficiency, accuracy and productivity parameters with the main focus on "hardware". The context of industry 4.0 is changing this par

Smart manufacturing is a knowledge area on the agenda of the media and has grown significantly due to the impetus of R&D at both national and international level. However, there are major barriers and limitations the industrial environment has always faced in comparison with other sectors. IT-OT convergence is a key element in this regard. The IT world and "software" must make their entry to the production plant, a traditional OT environment, in a harmonious way introducing the culture and good practices of software engineering and OT cyber security.The doctoral thesis contextualises this scenario with an up-to-date state of the art of the digitised automation pyramid.

On the basis of this scenario, research should contribute to the positioning and range of products and services of machine tools companies.The proposed research work is framed in the scope of RMMS (Remote Machine Monitoring System), a software product developed by machine manufacturers to enable their customers to monitor and maintain their assets productive.

As the data are to be the raw material for the industrial revolution , a complete measurement framework is required for machine tools that capitalises on the digitalization of the industry and manufacturing analytics. The advanced data analysis in production, processing and machine condition requires a solid basis for adequate measurement of machine tool signals.

In this sense, the definition and development of a monitoring framework will be addressed by classifying the main groups and sub-systems of machines (milling machine, grinder and lathe), as well as the most important variables and their mapping with the different signals provided by the CNC, PLC and sensors. The research tasks will address the development and implementation of this framework and apply it to technologies in multi-manufacturer environments using numerical control, industrial controllers, meters and sensors. As a result of the thesis, machine tools companies will dispose of a method and technology to pick up machine data based on standards with a higher level of time efficiency for the implantation of the data acquisition layer. This is a key element to speed up digitization of industry, as it is perceived as one of the main barriers of industry 4.0: the technology is viable but the cost is too high.

Department or unit of the Associates Technology Center

ICTs and Automation

Investigation line

ICTs and Automation

Start date planned

10/2017

Obtaining date of the doctor degree

10/2020

Requeriments

- IT, electronics or telecommunications engineering

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