Optimal dynamic design of a planar slider-crank mechanism with a joint clearance

2015 ◽  
Vol 86 ◽  
pp. 191-200 ◽  
Author(s):  
S.M. Varedi ◽  
H.M. Daniali ◽  
M. Dardel ◽  
A. Fathi
Keyword(s):  
Joint Clearance ◽  
Dynamic Design ◽  
Optimal Dynamic ◽  
Crank Mechanism

Optimal dynamic design of anthropomorphic robot module with redundant actuators

KSME Journal ◽  
1996 ◽  
Vol 10 (3) ◽  
Author(s):  
Sang Heon Lee ◽  
Byung-Ju Yi ◽  
Yoon Keun Kwak
Keyword(s):  
Dynamic Design ◽  
Redundant Actuators ◽  
Optimal Dynamic

A memetic algorithm for optimal dynamic design of wireless sensor networks

2010 ◽  
Vol 33 (2) ◽  
pp. 250-258 ◽  
Author(s):  
Konstantinos P. Ferentinos ◽  
Theodore A. Tsiligiridis
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Memetic Algorithm ◽  
Wireless Sensor ◽  
Dynamic Design ◽  
Optimal Dynamic

Joint Clearances With Lubricated Long Bearings in Multibody Mechanical Systems

1999 ◽  
Vol 122 (4) ◽  
pp. 484-488 ◽  
Author(s):  
P. Ravn ◽  
S. Shivaswamy ◽  
B. J. Alshaer ◽  
Hamid M. Lankarani
Keyword(s):  
Mechanical Systems ◽  
Steady Motion ◽  
Joint Clearance ◽  
Hydrodynamic Theory ◽  
Viscous Effects ◽  
Analysis And Design ◽  
Joint Clearances ◽  
The Impact ◽  
Crank Mechanism ◽  
Hydrodynamic Theory Of Lubrication

Proper modeling of joint clearance is of great importance in the analysis and design of multibody mechanical systems. The clearance may be due to wear or imperfection in manufacturing. When there is no lubricant in the clearance, solid-to-solid contact occurs. The impulse due to contact between the links is transmitted throughout the system. The presence of a lubricant avoids such contact, as the hydrodynamic forces developed by the lubricant film support the loads acting on the bodies and prevent the bodies from coming into contact. In this paper, an analysis of revolute joint clearances in multibody mechanical systems with and without lubricant is presented. Squeeze as well as viscous effects are considered utilizing the hydrodynamic theory of lubrication in long bearings. Unlike the traditional machine design approach, the instantaneous lubricant forces are the unknown and evaluated in terms of the known geometrical position and velocity of the journal and bearing. In the case of analysis of a joint clearance with no lubricant, a modified Hertzian relation is used to model the impact or contact between the journal and bearing, which includes a hysteresis damping term to account for the energy dissipation during impact. The methodology is applied for the analysis of a slider-crank mechanism having a clearance in the piston pin. The simulations are carried out with and without lubricant and the results are compared. It is shown that the lubricant results in a steady motion with fewer peaks in the required cranking moment for the system. [S1050-0472(00)01804-3]

Uncertainty of Coupler Point Position of Slider Crank Mechanisms

2015 ◽  
Author(s):  
Zetao Yu ◽  
Kwun-Lon Ting ◽  
Kuan-Lun Hsu ◽  
Jun Wang ◽  
Wesley Waggoner
Keyword(s):  
Geometric Model ◽  
Joint Clearance ◽  
Link Length ◽  
Position Uncertainty ◽  
Prismatic Joint ◽  
Point Position ◽  
Joint Clearances ◽  
Crank Mechanism ◽  
Short Link

In this paper, a novel geometric model for a planar slider-crank mechanism is established to quantify the position uncertainty of a coupler point caused by joint clearances. The clearance of each revolute and prismatic joint is characterized by a short clearance link. The prismatic joint with clearance is modeled as a link with infinite link length and a variable short link. The linkage with joint clearance is thus modeled as one with redundant freedom. The uncertainty is the result of the redundancy and the extremity of the redundancy is determined through Ting’ N-bar rotatability laws.

Optimal dynamic design of planar mechanisms using teaching–learning-based optimization algorithm

2016 ◽  
Vol 230 (19) ◽  
pp. 3442-3456 ◽  
Author(s):  
Kailash Chaudhary ◽  
Himanshu Chaudhary
Keyword(s):  
Optimization Algorithm ◽  
Evolutionary Optimization ◽  
Planar Mechanisms ◽  
Dynamic Design ◽  
Computational Performance ◽  
Tlbo Algorithm ◽  
Teaching Learning Based Optimization ◽  
Optimal Dynamic ◽  
Teaching Learning ◽  
Shaking Moment

A two-stage optimization method for optimal dynamic design of planar mechanisms is presented in this paper. For dynamic balancing, minimization of the shaking force and the shaking moment is achieved by finding optimum mass distribution of mechanism links using the equimomental system of point-masses in the first stage of the optimization. In the second stage, their shapes are synthesized systematically by closed parametric curve, i.e. cubic B-spline curve corresponding to the optimum inertial parameters found in the first stage. The multi-objective optimization problem to minimize both the shaking force and the shaking moment is solved using evolutionary optimization algorithm – “Teaching-learning-based optimization (TLBO) algorithm”. The computational performance of TLBO algorithm is compared with another evolutionary optimization algorithm, i.e. genetic algorithm.

Nonlinear Full-Car Model for Optimal Dynamic Design of an Automotive Damper

2014 ◽  
pp. 489-500
Author(s):  
Carlos A. Duchanoy ◽  
Carlos A. Cruz-Villar ◽  
Marco A. Moreno-Armendáriz
Keyword(s):  
Dynamic Design ◽  
Car Model ◽  
Optimal Dynamic
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