Improved Real–Time Estimation of Return Flow Rate of Drilling Fluids by Model Adaptation for Friction Parameter

2019 ◽  
Vol 19 (20) ◽  
pp. 9314-9323 ◽  
Author(s):  
Asanthi Jinasena ◽  
Glenn-Ole Kaasa ◽  
Roshan Sharma
Author(s):  
C.S. Kabir ◽  
B. Izgec ◽  
A.R. Hasan ◽  
U. Minnesota-Duluth ◽  
X. Wang ◽  
...  

2008 ◽  
Author(s):  
C. Shah Kabir ◽  
Bulent Izgec ◽  
A. Hasan ◽  
Xiaowei Wang ◽  
Jaedong Lee

2020 ◽  
pp. 039139882098448
Author(s):  
Shuya Shida ◽  
Toru Masuzawa ◽  
Masahiro Osa

Implantable ventricular assist devices are used in heart failure therapy. These devices require real-time flow rate estimation for effective mechanical circulatory support. We previously developed a flow rate estimation method using the eccentric position of a magnetically levitated impeller to achieve real-time estimation. However, dynamic motion of the levitated impeller can compromise the method’s performance. Therefore, in this study, we investigated the effects of dynamic motion of the levitated impeller on the time resolution and estimation accuracy of the proposed method. The magnetically levitated impeller was axially suspended and radially restricted by the passive stability in a centrifugal blood pump that we developed. The dynamic motions of impeller rotation and whirling were analyzed at various operating conditions to evaluate the reliability of estimation. The vibration response curves of the impeller revealed that the resonant rotational speed was 1300–1400 revolutions per minute (rpm). The blood pump was used as a ventricular assist device with rotational speed (over 1800 rpm) sufficiently higher than the resonant speed. The rotor-dynamic forces on the impeller (0.03–0.14 N) suppressed the whirling motion of the impeller, indicating that the dynamic motion could be stable. Although the temporal responsiveness should be determined based on the trade-offs among the estimation accuracy and time resolution, the real-time estimation capability of the proposed method was confirmed.


2016 ◽  
Author(s):  
Mohammad S. Al-Kadem ◽  
Mohammad S. Al Dabbous ◽  
Ali S. Al Mashhad ◽  
Hassan A. Alsadah ◽  
Dhafer Al Shehri

2008 ◽  
Author(s):  
C. Shah Kabir ◽  
Bulent Izgec ◽  
A. Rashid Hasan ◽  
Xiaowei Wang ◽  
Jaedong Lee

2020 ◽  
Vol 86 (4) ◽  
pp. 61-65
Author(s):  
M. V. Abramchuk ◽  
R. V. Pechenko ◽  
K. A. Nuzhdin ◽  
V. M. Musalimov

A reciprocating friction machine Tribal-T intended for automated quality control of the rubbing surfaces of tribopairs is described. The distinctive feature of the machine consists in implementation of the forced relative motion due to the frictional interaction of the rubbing surfaces fixed on the drive and conjugate platforms. Continuous processing of the signals from displacement sensors is carried out under conditions of continuous recording of mutual displacements of loaded tribopairs using classical approaches of the theory of automatic control to identify the tribological characteristics. The machine provides consistent visual real time monitoring of the parameters. The MATLAB based computer technologies are actively used in data processing. The calculated tribological characteristics of materials, i.e., the dynamic friction coefficient, damping coefficient and measure of the surface roughness, are presented. The tests revealed that a Tribal-T reciprocating friction machine is effective for real-time study of the aforementioned tribological characteristics of materials and can be used for monitoring of the condition of tribo-nodes of machines and mechanisms.


2013 ◽  
Vol 39 (10) ◽  
pp. 1722
Author(s):  
Zhao-Wei SUN ◽  
Wei-Chao ZHONG ◽  
Shi-Jie ZHANG ◽  
Jian ZHANG

2021 ◽  
Vol 602 ◽  
pp. 120624
Author(s):  
Reza Kamyar ◽  
David Lauri Pla ◽  
Anas Husain ◽  
Giuseppe Cogoni ◽  
Zilong Wang

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ujjwol Tamrakar ◽  
David A. Copp ◽  
Tu Nguyen ◽  
Timothy M. Hansen ◽  
Reinaldo Tonkoski

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