445 23rd International Colloquium Tribology - January 2022 445 Diversification of Evaluation Options for Tribological Measuring Results Using Origin and Phyton Thomas Witt Dr. Tillwich GmbH Werner Stehr, Horb, Germany, twitt@4advancedtechnologies.de 1. Introduction In today’s industry, as well as in the field of tribologi-cal testing, the amount of data that is acquired prior, during and post machine runs is phenomenal. This amount of data needs to be monitored, processed, sent and analysed. Therefore, the analysis of data needs to be optimised, simplified and analysed in much more detail in order to understand the process better. In an ideal world these data could enabled us to react, before things occur. 2. Current situation in the field of tribology and data analysis In our area, the field of friction and wear testing, we are facing the same problem - more data. Let’s have a look at our testings of e.g. radial sliding bearings. We are collecting loads of measurement data, especially when we talk about long term / life time testing. We are talking here of up to 1,000 testing cycles with up to 1,000 Hz data acquisition sampling rate per second on various channels. For data analysis we are using Origin / Phyton since long for two reasons. Reason one is, that the analysis of the raw data is faster and we face no limits in the amount of data. The second reason is that we can get more details out of the raw data. By nature of Origin / Phyton, it’s relatively easy to implement and add addi-tional features, to generate further key figures and graphs based on our raw data. 3. Stages in data analysis When using first time the origin system we pre-selected the raw data, manually, in order to reduce the import time as a quick pre-check of the measured data. When the data looked plausible the entire set of raw data got imported. We analysed the COF and temperatures of the radial bearing (back side of the bearing). In the next evolution step we have implemented vari-ous add ons. E.g. we are able to split the 1,000 cycles into three areas. For each area we are able to freely import different numbers of individual testing cycle. Meaning that we can import every testing cycle during the run in phase and e.g. every 20th cycle after the run in phase. Next thing we have done is that we are able to convert the 3D waterfall diagram into XY diagrams. Also a table of COF values is generated for definable sliding speeds. In a third evolution step the moving average of the COF curve got implemented. Reason for this is that we have seen different levels of noise and vibrations in the tribological testing system due to different loads, different sinter bearing alloys, bearing clearances, etc. Fig.1 shows the COFdiagram before processing the raw data and fig. 2 shows the XY diagram of individual testing cycles. Figure 1: Diagram COF - raw data Figure 2: Diagram of individual cycles - raw data 446 23rd International Colloquium Tribology - January 2022 Diversification of Evaluation Options for Tribological Measuring Results Using Origin and Phyton In fig.3 and fig. 4 the same diagrams are shown as in fig.1 and fig. 2 but processed and smoothed with a moving average of 100 values. Figure 3: Diagram COF - smoothed Figure 4: Diagram of individual cycles - smoothed 4. Conclusion History teaches us that the amount of data is growing and it’s growing exponentially. The same trend we are facing in tribological testing as data acquisition rates are increasing, more data channels and so on. The analysis tool Origin / Phyton enables us to handle these large data volumes we receive of our testing rigs. For processing the data we are absolutely free to add and adjust process steps, additional diagrams are easy to generate, statistics evaluations can be enlarged or shrinked. Since Phyton can be used within the Origin environ-ment the link has now been made between the famous programing language Phyton and the Origin LabTalk world. References [1] 2021-10-13: https: / / www.additive-net.de/ en/ software/ produkte/ originlab/ public-relations/ screencasts/ programmierung/ 9427-originpro-2021-python-beispiele