September 28, 2022

Next Level Gear Noise Detection Software – Metrology and Quality News

Contributors to gear noise, such as transmission errors caused by geometric deviations, have long been known to be noise contributors in the gear mesh. Gear specialists understand the influences of unwanted gear and tooth deflection on noise and have found ways to improve them over the years. Tooth flank deviations, which lead to so-called “phantom noise”, are still difficult to detect and therefore in many cases have to be accepted by gearbox manufacturers. Today, with the rise of electric vehicles, phantom noise has gained new attention and ways are being sought to overcome it. Because tooth flank waviness is the primary contributor to unwanted high-frequency noise behavior in the gear mesh, Gleason offers two pioneering software solutions for waviness detection.

Advanced Ripple Analysis (GAMA)

Advanced waviness analysis provides a quick way to scan tooth flanks to detect waviness. The software uses single-trace inspection data from all tooth flanks of a gear, both profile and pitch. By combining the tooth profile traces of all the teeth and analyzing the gear for an entire rotation, it gives users a good understanding of the contribution of the measured data to gear noise. The software uses advanced mathematical techniques to analyze all wavelengths and amplitudes and present them in simplified graphs.

The detected amplitudes are displayed in an easy-to-read bar graph, giving a numerical value of the amplitudes. Additional functions, such as the removal of pitch and runout influences in the waviness analysis, make it even easier to detect the source of gear noise in the final application.

Kinematic Transmission Error Prediction Software (KTEPS)

By using topographic data from all teeth to detect tooth flank waviness, KTEPS offers a revolutionary method to show tooth flank surface deviations as a function of their frequency. In fact, KTEPS is the only software tool that shows surface deviations and their relationship to frequency. By calculating the transmission error of the analytically measured gear topography, KTEPS offers the functionality to extract the tooth waviness from the tooth flank, revealing the basis of the bad noise behavior in a 3D false color chart easy to understand.

Tracing the source of the tooth flank waviness back to a specific machine, which produced the analyzed gear, understanding the cause and being able to adjust/correct the respective process to actually reduce gear noise, makes really valuable gear noise analysis.

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