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2 Journal of Machine Engineering

2 2020

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Study on noises influencing the accuracy of CNC machine straightness measurements methods based on beam position detection

Budzyn Grzegorz, Rzepka Janusz

Journal of Machine Engineering

2020

Vol. 20, No. 3

76--84

Fast, easy and accurate measurement of geometry of numerically controlled machines has always been challenging. With the use of a laser interferometer, it can be precise but it is complex. On the other side, the use of granite reference blocks is fairly easy yet quite limited for many machine types and sizes. Nowadays the improvements in technology open a new way – the instruments based on the detection of laser beam spot position. Those instruments are accurate and easy to use yet, comparing to the laser interferometers and granite blocks, they are sensitive to parameters of a laser source and to changing environmental conditions. In the paper, we analyse experimentally the influence of the type and parameters of laser source on the accuracy of straightness measurements. The most commonly met in practical applications a free space and fibre based laser sources are studied and compared. The influence of environmental conditions on measurement accuracy is also shown. Finally, the conclusions about optimal methods of improving the accuracy of beam position detection methods are drawn.

Review of edge detection algorithms for application in miniature dimension measurement modules

Budzyn Grzegorz, Rzepka Janusz

Journal of Machine Engineering

2020

Vol. 20, No. 4

74--85

Continuous improvement of semiconductor chip technology allows more and more complex functions to be performed by an increasing number of modules with limited space and power. The deep miniaturisation and cost reduction of such modules has a positive impact on their application areas. They can be used, for example, inside machine tools for dimensional inspection of workpieces or deformation of the tool tip. Modules of this type must contain as many standard components as possible and, in particular, a processing unit responsible, among other things, for processing the optical sensor signal. For this reason, this study reviews and compares algorithms for object edge detection useful in embedded systems based on standard single chips, cores based on Cortex-M4F. The complexity of processing and the quality of algorithm output data was analysed. The results of experimental studies are presented. It was found that the required processing times significantly reduce the use of single chip embedded systems only for edge detection on small images.