How to Achieve Highest Machine Tools Productivity in Machining Metal Alloys especially Titanium and Aluminum

January 26th, 2022 - 3:00 pm CET / 9:00 am NY
Spoken language: English

Highest Machine Tools productivity in machining Metal Alloys like Titanium and Aluminun
with a resulting improvement of TCO 

Join our Webinar January 26, 3 pm CET - 9 am NY | Discover PowerMax 

Click here to see the recording

Franco Cassinari 

Application Advisor 

Out from a production floor, in the last 35 years, employed at machine tool builders. Since 2005 working inside Camozzi Group, Ingersoll Inc and Innse-Berardi S.p.A. Long Experience in aviation and aerospace fields mostly involved in multi axis machining often applied in different market sectors. Deep knowledge in metal cutting focused on titanium and aluminium. Post processor developer and deep knowledge in cad/cam systems and numerical controls. Currently involved in the application department: internal machining process development, sub-contractors work, turn key solution for customers and tight cooperation with designers to develop innovative solutions for new machines.

Event description

What you will learn?

Reduce operating costs and production times especially in  the aeronautical and industrial sector
Ensure high and constant levels of stock removal, dynamics and accuracy
Machine titanium, aluminium or both materials with best results

    Traditional large horizontal machine tools are typically built as a structure with a moving column. When operating, machines of this design are at high vertical positions, the static and dynamic rigidity of the machine is inevitably compromised. Deep machining operations are achieved through the use of a ram, which however when extended likewise loses rigidity and the effects of gravity can cause accuracy issues. The end user is therefore limited to choosing the most conservative cutting parameters and dynamic settings, in order to ensure that the operation is conducted correctly at every point of the component. This naturally implies a loss in terms of the overall efficiency of the system.