In this interview Francesc Xavier Montserrat Mas, head of R&D at Industrias Teixidó, S.A. details its main tasks for the development of the AVINT project.
What has the AVINT project consisted of?
AVINT has developed an artificial intelligence engine and new models of machining processes to obtain a computer application capable of predicting the roughness parameters to be obtained in a machining operation by starting material.
The computer application will be designed for the processes of turning, milling or grinding, and will take into account the characteristics of the machine used, tool geometry, coating, base material, coolant and machining conditions, such as rotational speed and advance. The ultimate goal is to get parts with 0 defects.
What advanced technologies have been implemented?
Combination of advanced machining process simulation with machine learning techniques to make roughness predictions from acoustic emission sensor and accelerometer data.
What has been your company’s contribution to the project?
Industrias Teixidó has put at the service of the community a numerical control lathe and a rectifier without centers in order to carry out all those necessary tests and data collection. ITSA has carried out tests with different cutting conditions, various tools (from IMCAR) with improved coatings (from FLUBETECH) and different lubricants (from FUCHs).
For you, what is the main advance of the project?
The prediction of the roughness in the initial state of study and budget of the piece in question, given that so far, with the current state of the art, it is not possible.
And the main challenge, what has it been?
Find in the machines the right points to install the sensors able to read the changes of behavior (based on vibrations, efforts, heats, etc.) before different initial conditions.
AVINT will allow the obtaining of new products and parts with added value such as machining tools, tool coatings and lubricants / coolants. What impact can the project results have on the industry?
AVINT, once adjusted to a specific and specific type of machining, can be very useful to predict the results in a state of initial quotation of the piece within the market of turning or precision machining.
This helps to predict the difficulties that may arise when serial production is industrialized. It also allows you to make quotes adjusted to the requested quality, reducing the margin of error.
Which industries can benefit the most?
Automotive, aeronautics, implantology, electrical components, appliances, etc.
