Optimal synthesis of mechanisms using repellency evolutionary algorithm

2021 ◽  
pp. 107928
Author(s):  
Qiujun Huang ◽  
Yicheng Yu ◽  
Kai Zhang ◽  
Shengquan Li ◽  
Haibo Lu ◽  
...  
Keyword(s):  
Evolutionary Algorithm ◽  
Optimal Synthesis ◽  
Synthesis Of Mechanisms

Turning Functions in Optimal Synthesis of Mechanisms

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Fernando Nadal ◽  
Juan A. Cabrera ◽  
Alex Bataller ◽  
Juan J. Castillo ◽  
Antonio Ortiz
Keyword(s):  
Evolutionary Algorithm ◽  
Optimization Algorithm ◽  
Optimal Synthesis ◽  
Mechanism Synthesis ◽  
Synthesis Of Mechanisms

In this paper, we describe the use of turning functions to compare errors between the coupler and the target paths. The main reason to use turning functions is that the measured error does not depend on the mechanism scale or the position and rotation of the fixed link. Therefore, the searching space for the optimization algorithm is reduced. To carry out mechanism synthesis, we use an evolutionary algorithm. The effectiveness of the proposed method has been demonstrated in five synthesis examples.

Application of the Exact Gradient Approach in Optimal Synthesis of Mechanisms

1993 ◽  
Author(s):  
Jawaharlal Mariappan ◽  
Sundar Krishnamurty
Keyword(s):  
Generalized Solution ◽  
Optimization Method ◽  
Solution Procedure ◽  
Optimal Synthesis ◽  
Synthesis Process ◽  
Mechanism Synthesis ◽  
Approximate Methods ◽  
Synthesis Of Mechanisms ◽  
Gradient Based ◽  
Gradient Approach

Abstract This paper presents the application of the unified exact gradient approach to optimal synthesis of mechanisms. The exact gradient approach is a systematic and efficient solution procedure that is applicable for any type of mechanism synthesis problem. In this approach, the exact gradients necessary for optimization are developed using a generalized solution procedure based on matrix methods. Availability of exact gradients in this approach enables the utilization of any gradient-based optimization method in mechanism synthesis process. As a result, this approach will be computationally most efficient, since it will not require direct search methods, or, finite difference approximate methods to find optimal solutions. These salient features of this approach are demonstrated with the aid of several mechanism problems and the results discussed.

scholarly journals A general method for the optimal synthesis of mechanisms using prescribed instant center positions

2016 ◽  
Vol 40 (3) ◽  
pp. 2206-2222 ◽  
Author(s):  
Ramon Sancibrian ◽  
Esther G. Sarabia ◽  
Angel Sedano ◽  
Jesus M. Blanco
Keyword(s):  
Optimal Synthesis ◽  
Synthesis Of Mechanisms ◽  
General Method

An evolutionary algorithm for path synthesis of mechanisms

2011 ◽  
Vol 46 (2) ◽  
pp. 127-141 ◽  
Author(s):  
J.A. Cabrera ◽  
A. Ortiz ◽  
F. Nadal ◽  
J.J. Castillo
Keyword(s):  
Evolutionary Algorithm ◽  
Synthesis Of Mechanisms ◽  
Path Synthesis

scholarly journals The Use of Harmonic Information in the Optimal Synthesis of Mechanisms

1998 ◽  
Vol 9 (3) ◽  
pp. 239-249 ◽  
Author(s):  
A. M. Connor ◽  
S. S. Douglas ◽  
M. J. Gilmartin
Keyword(s):  
Optimal Synthesis ◽  
Synthesis Of Mechanisms

Optimal Synthesis of Mechanisms for Path Generation Using Refined Numerical Representation Based Model and AIS Based Searching Method

2004 ◽  
Vol 127 (4) ◽  
pp. 688-691 ◽  
Author(s):  
Yong Liu ◽  
Renbin Xiao
Keyword(s):  
Synthesis Method ◽  
Optimal Synthesis ◽  
Numerical Representation ◽  
Path Generation ◽  
Artificial Immune ◽  
Planar Mechanisms ◽  
Artificial Immune Network ◽  
Synthesis Of Mechanisms ◽  
Initial Sampling ◽  
Searching Method

This paper presents an optimal synthesis method for path generation of planar mechanisms, in which a new path-description method named refined numerical representation is proposed to define the object function of the optimization model for path generation, and then the artificial immune network searching method is introduced to search candidate solutions. As a result, desired mechanisms can be generated independent of the scale, rotation, and translation transformation as well as sampling uniformity of initial sampling points. Experiment results demonstrate the effectiveness of the approach.

Multiobjective constrained optimal synthesis of planar mechanisms using a new evolutionary algorithm

2007 ◽  
Vol 42 (7) ◽  
pp. 791-806 ◽  
Author(s):  
J.A. Cabrera ◽  
F. Nadal ◽  
J.P. Muñoz ◽  
A. Simon
Keyword(s):  
Evolutionary Algorithm ◽  
Optimal Synthesis ◽  
Planar Mechanisms

Development of a Unified Exact Gradient Approach to Optimal Synthesis of Mechanisms

1993 ◽  
Author(s):  
Jawaharlal Mariappan ◽  
Sundar Krishnamurty
Keyword(s):  
Optimization Methods ◽  
Solution Procedure ◽  
Optimal Synthesis ◽  
Synthesis Process ◽  
Optimal Solutions ◽  
Mechanism Synthesis ◽  
Approximate Methods ◽  
Efficient Manner ◽  
Synthesis Of Mechanisms ◽  
Gradient Based

Abstract This paper presents the development of a unified approach to optimal synthesis of mechanisms using exact gradients. The uniqueness of this approach lies in its ability to find optimal solutions to different type of mechanism problems in a systematic and efficient manner. In this approach, the exact gradients necessary for optimization are developed using a generalized methodical solution procedure based on matrix methods. This enables direct utilization of efficient gradient-based optimization methods in the mechanism synthesis process, thus eliminating the need for time-consuming direct search methods, or, the use of finite difference approximate methods to estimate gradients during optimization. The development of exact gradients and its integration with mechanism synthesis process, thus, offers the most effective approach for finding optimal solutions in generic mechanisms.

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