Optimize MyMachining/Trochoidal provides users with updates for the existing NC program, optimised machining processes and for retrofit applications using dynamic machine data and corresponding data inputs. Use of the app is said to deliver reduced tool wear and lower overall inventory costs.
Computation is based on individual, optimal machine and axes-based dynamic data. According to Siemens, this concept prevents any adverse effects on machining performance. Optimize MyMachining/Trochoidal is particularly suitable for use with older machine tools as it reduces mechanical wear in the machine, says the company.
A prototype of another Edge application for condition monitoring was also shown at AMB. Users can quickly find the correct tool and identify real problems, whether current or imminent (for example, causes of friction), and improve or correct machine operation by adjusting the settings.
With Siemens Industrial Edge, the company says it is offering users the chance to close the gap between classic, local data processing and cloud-based data processing to suit individual requirements. Edge computing allows large volumes of data to be processed locally almost in real time, without any feedback. There is also an additional reduction in memory and transfer costs as large volumes of data are pre-processed and only the relevant data is finally transferred to a cloud or factory-level IT infrastructure.
Siemens Industrial Edge supports cloud transfer protocols for MindSphere, Siemens’ own open, cloud-based IoT operating system. In the future, it will also support Message Queuing Telemetry Transport (MQTT), making data transfer safe and effective.
