Productive Machines, which is a spin out of the University of Sheffield Advanced Manufacturing Research Centre (AMRC), says that its software could help reduce lead and cycle times, improve maintenance, and decrease component waste and carbon emissions.
According to the AMRC, the company was formed following six-year research project on machining dynamics, focusing on how cutting forces and resulting vibrations could affect machine tool performance.
Productive Machines has reportedly developed a computational model to help predict and mitigate the influence of these vibrations during metal and composite milling. It uses a digital twin to determine the best parameters for each machine tool and production run, the company said.
In tests, users reported that cutting tools last up to 30% longer with machines using the technology.
