Citation Number
10
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Rulmanlar, yüksek hızlarda ağır yüklerin taşınmasını sağlayan, aynı zamanda çok düşük yuvarlanma kayıplarına sahip olan dönel makinaların vazgeçilmez parçası olarak endüstride yaygın olarak kullanılan makine parçalarıdır. Bu sebeple rulman hasarlarının erken teşhisi makinanın sağlıklı çalışmasını sağlamak amacıyla son derece önemlidir. Bu çalışmada ORS 6208 plastik kafesli sabit bilyalı rulmanda oluşan farklı tip hasarların titreşim analizi ve gürültü ölçümü metotları kullanılarak tespit edilmesi amaçlanmıştır. Bu amaçla ORS 6208 plastik kafesli sabit bilyalı üç ayrı rulmanın, dış bilezik yuvarlanma yoluna, iç bilezik yuvarlanma yoluna ve bilyasına hasar verilerek rulman hasarları oluşturulmuş ve eş zamanlı titreşim ve gürültü ölçümü yapılmıştır. Titreşim ve gürültü ölçümü sonucu alınan veriler zaman ve frekans bölgesinde incelenmiş, bunlara ek olarak Hilbert dönüşümü kullanılarak zarf analizi yapılmış ve bu analizler sonucunda rulman hasarları tespit edilmiştir. Farklı tip hasarlara sahip rulmanlara ait titreşim analizleri kıyaslandığında Hilbert dönüşümünün rulman üzerindeki hasarı tespit etmede daha başarılı olduğu tespit edilmiştir. Aynı zamanda ses ölçüm cihazından alınan değerler kullanılarak rulmanların teorik olarak Ses Basınç Düzeyi, Ses Şiddeti Düzeyi, Ses Gücü Düzeyi, Yönelme ve Yönelme Katsayısı hesaplanmıştır. Sağlıklı rulman ve hasarlı rulmanlar arasındaki gürültü değerleri dB cinsinden karşılaştırıldığında bilya hasarına sahip rulmanın gürültü seviyesinin en düşük, dış bilezik yuvarlanma yolu hasarlı rulmanın ise en yüksek gürültü seviyesine sahip olduğu tespit edilmiştir.
Rollers are machinery parts that are widely used in the industry as an essential part of rotating machines with very low rotation losses, which allow heavy loads to be moved at high speeds. Therefore, early diagnosis of rolling damage is extremely important in order to ensure that the machine works healthy. In this study, the ORS 6208 is designed to identify the different types of damage in the fixed ball roll with plastic coat using vibration analysis and noise measurement methods. For this purpose, the ORS 6208 plastic coat fixed ball has created rolling damage, damaging the three separate rolls, the outer arm rotation path, the inner arm rotation path and the ball, and simultaneous vibration and noise measurements have been made. The data obtained from the vibration and noise measurement were studied in the time and frequency zone, in addition to the cover analysis using Hilbert conversion, and the result of these analyses were detected rolling damage. Compared with the vibration analysis of the rollers with different types of damage, Hilbert's conversion was found to be more successful in detecting the damage on the rollers. Also, using the values obtained from the sound measurement device theoretically calculated the sound pressure level, sound strength level, sound power level, direction and direction ratio of the rollers. The noise values between healthy rolls and damaged rolls compared to the dB are found to have the lowest level of noise of the roll with ball damage and the highest level of noise of the external roll with damaged rolls.
Bearings are machine parts that are widely used in the industry as an indispensable part of rotary machines that allow heavy loads to be transported at high speeds and also have very low rolling losses. For this reason, early diagnosis of bearing faults are extremely important in order to ensure the healthy operation of the machine. In this study, it is aimed to detect different types of faults in ORS 6208 plastic cage deep groove ball bearing using vibration analysis and noise measurement methods. For this purpose, bearing fault was created by damaging the outer race, inner race and ball of three separate ORS 6208 plastic caged deep groove ball bearings, and simultaneous vibration and noise measurements were made. The data obtained as a result of vibration and noise measurements were examined in the time and frequency region, in addition to these, envelope analysis was performed using Hilbert transform and bearing faults were determined as a result of these analyzes. Comparing the vibration analysis of bearings with different types of damage, it has been determined that Hilbert transformation is more successful in detecting the damage on the bearing. At the same time, using the values obtained from the sound measuring device, the theoretical Sound Pressure Level, Sound Intensity Level, Sound Power Level, Directionality and Directional Coefficient of the bearings were calculated. The noise values between healthy bearing and faulty bearing are compared in dB. When the noise values between healthy bearing and damaged bearings are compared in dB, it is found that the noise level of the bearing with ball damage is the lowest, and the bearing with the outer race has the highest noise level.
Field : Fen Bilimleri ve Matematik; Mühendislik
Journal Type : Uluslararası
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