The kinematic and dynamic analysis of crowned spur gear drive

1998 ◽  
Vol 167 (1-2) ◽  
pp. 109-118 ◽  
Author(s):  
I.H. Seol ◽  
David H. Kim
2021 ◽  
Vol 150 ◽  
pp. 107280
Author(s):  
Sha Wei ◽  
Fu-Lei Chu ◽  
Hu Ding ◽  
Li-Qun Chen

2020 ◽  
Vol 3 (3) ◽  
pp. 268
Author(s):  
Subhransu Kumar Panda ◽  
Pradeep Kumar Mishra ◽  
Biswaranjan Patra ◽  
Subrata Kumar Panda

2020 ◽  
Vol 32 (6) ◽  
pp. 292-308
Author(s):  
Xingbao Huang ◽  
Bintang Yang ◽  
Youqiang Wang ◽  
Changjiang Zhou

2014 ◽  
Vol 592-594 ◽  
pp. 2277-2281 ◽  
Author(s):  
Rama Thirumurgan ◽  
Clement Christy C. Deepak

This work mainly aims to explore the actual load, fillet and contact stresses induced during a mesh cycle in a spur gear tooth. As the mesh stiffness differs at different contact points along the path of contact, it significantly affects the load sharing between the simultaneously meshed contact pairs hence stresses. Comparative study has been made between existing symmetric spur gear pair used in light motor vehicle gear box and asymmetric spur gear. Finite element multi pair contact model has been used to explore the load sharing behavior and related stresses in this work.


Author(s):  
Zhong Wan ◽  
ShaoJun Zhang

In this article, an optimal design problem of spur gear drive with a fixed load factor is formulated as a nonlinear optimization model. Three methods are presented to find the globally optimal design scheme on the structure of the spur gear pair. By suitable variable transformation, the constructed model is first converted into a linear program with mixed variables. By developing an algorithm of global optimization for solving a binary linear programming with mixed variables, all global optimal solutions are found for the original design problem. Taking into account the modification of the contact ratio factors, a specific global optimization method is provided to optimize the design of spur gear drive with soft tooth flank in a continuous variable space. On the basis of enumeration of the discrete variables and utilization of the monotonicity in the optimal model, another global optimization method is designed to search for the global optimal solutions in the mixed variable space, which does not depend upon whether the modification of contact ratio factor exists or not. Case studies are employed to demonstrate the validity and practicability of the constructed model and the proposed methods.


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