Simple isolation method for the bulk isolation of wear particles from metal on metal bearing surfaces generated in a hip simulator test

2012 ◽  
Vol 23 (4) ◽  
pp. 891-901 ◽  
Author(s):  
Fang Lu ◽  
Matt Royle ◽  
Ferdinand V. Lali ◽  
Alister J. Hart ◽  
Simon Collins ◽  
...  
Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3751 ◽  
Author(s):  
Gobert von Skrbensky ◽  
Karoline Mühlbacher ◽  
Emir Benca ◽  
Alexander Kolb ◽  
Reinhard Windhager ◽  
...  

Wear is a common cause for aseptic loosening in artificial joints. The purpose of this study was to develop an automated diagnostical method for identification of the number and size distribution of wear debris. For this purpose, metal debris samples were extracted from a hip simulator and then analyzed by the electrospray method combined with a differential mobility analyzer, allowing particle detection ranging from several nanometers up to 1 µm. Wear particles were identified with a characteristic peak at 15 nm. The electrospray setup was successfully used and validated for the first time to characterize wear debris from simulated total joint replacement. The advantages of this diagnostic method are its time- and financial efficiency and its suitability for testing of different materials.


Author(s):  
Ming Shen ◽  
Birgit Grundmann ◽  
Gernot Liebentritt

Tribological performance of a metal-on-metal total hip arthroplasty was evaluated as a function of the diametral clearance between the femoral head and acetabular cup. Frictional torque results, measured by a pendulum apparatus, suggested that a threshold clearance existed. Below the threshold clearance, frictional torque increased nearly linearly as the clearance decreased. Beyond the threshold, the clearance effect was minimal. The wear results, measured using a hip simulator, showed that a running-in wear was present in the first million cycles. The subsequent steady-state wear rate was very low in all tested clearances. The highest running-in wear was associated with the largest clearance. These results demonstrated the usefulness of combining a pendulum test and a simulator wear test to fully characterize the clearance effect.


2011 ◽  
Vol 34 (12) ◽  
pp. 1155-1164 ◽  
Author(s):  
Saverio Affatato ◽  
Francesco Traina ◽  
Oddone Ruggeri ◽  
Aldo Toni
Keyword(s):  

Author(s):  
M Khan ◽  
J H Kuiper ◽  
J B Richardson

High levels of cobalt and chromium ions are detected in the blood and urine of patients with metal-on-metal (MoM) hip replacement. These elements are released as a result of wear at the bearing surfaces. Wear rates depend on a multitude of factors, which include the bearing geometry, carbon content, manufacturing processes, lubrication, speed and direction of sliding of the surfaces, pattern of loading, and orientation of the components. In-vivo wear of MoM bearings cannot be reliably measured on X-rays because no distinction can be made between the bearing surfaces. Hip simulator studies have shown that wear rates are higher during the initial bedding-in phase and subsequently drop to very low levels. Accordingly, metal ion levels would be expected to decrease with the use of the bearing, measured as implantation time following surgery. However, several clinical studies have found that metal ion levels either gradually rise or fluctuate instead of decreasing to lower levels. Moreover, hip simulator studies predict that large-diameter bearings have lower wear rates than small-diameter bearings. In clinical studies, however, metal levels in patients with large-diameter bearings are unexpectedly higher than those in patients with small-diameter bearings. As a consequence, high cobalt ion levels in patients do not necessarily imply that their MoM bearings produce much wear debris at the time that their levels were measured; it may simply be due to accumulation of wear debris from the preceding time. Exercise-related cobalt rise may overcome this limitation and give a better assessment of the current wear status of a MoM bearing surface than a measure of cobalt levels only.


Wear ◽  
2005 ◽  
Vol 259 (7-12) ◽  
pp. 992-995 ◽  
Author(s):  
Aaron Essner ◽  
Kate Sutton ◽  
Aiguo Wang

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