Early success for attempt to model robot milling dynamics

28 August 2015

Omer Faruk Sapmaz

Attempts to find a low cost, rapid method for optimising the operation of robots used for milling are achieving some early successes, researchers attending a technology update at the AMRC's Knowledge Transfer Centre heard.

Research into robot milling as an alternative to large scale CNC machines is becoming increasingly important as demand increases for flexible and reconfigurable manufacturing systems.

However, the static and dynamic deflections affecting robot systems can lead to form errors and poor surface finish, resulting in low productivity.

Omer Faruk Sapmaz, a student from the Mechanical Engineering Department at Gazi University, in the Turkish capital of Ankara, has been working on modelling the dynamics of a hexapod robot, retrofitted with a milling head at the Nuclear AMRC as part of the European Union's Erasmus Internship Mobility Programme.

He outlined how he had used Finite Element Modelling (FEM) to create a series of models of the structural dynamics of the hexapod robot used for mobile machining.

Comparing frequencies predicted by FEM with experimental results showed close correlation with one model scenario in particular.

Future research could include developing the model so that the data is produces could be used to avoid chatter, determine the safest machining position for the robot and predict tool tip Frequency Response Function (FRF).

Related News

AI makes the case for legal tech firm
25/02/2020
Artificial Intelligence (AI) researchers at the University of Sheffield Advanced Manu …
Dr Erdem Ozturk elected as an associate member of CIRP
13/04/2017
An academic from the Advanced Manufacturing Research Centre (AMRC) has been elected a …
Go beyond Industry 4.0 for complete digital transformation
19/10/2018
Demand for highly-customised products means manufacturers need the agility to respond …
The AMRC’s £2m sustainable food packaging hub
22/09/2020
A rising star of the Welsh economy – the £22bn food and drink industry &n …