Generation of Compliant Mechanisms using Hybrid Genetic Algorithm

Abstract

Compliant mechanism is a single piece elastic structure which can deform to perform the assigned task. In this work, compliant mechanisms are evolved using a constraint based bi-objective optimization formulation which requires one user defined parameter (g). This user defined parameter limits a gap between a desired path and an actual path traced by the compliant mechanism. The non-linear and discrete optimization problems are solved using the hybrid Genetic Algorithm (GA) wherein domain specific initialization, two-dimensional crossover operator and repairing techniques are adopted. A bit-wise local search method is used with elitist non-dominated sorting genetic algorithm to further refine the compliant mechanisms. Parallel computations are performed on the masterslave architecture to reduce the computation time. A parametric study is carried out for g value which suggests a range to evolve topologically different compliant mechanisms. The applied and boundary conditions to the compliant mechanisms are considered the variables that are evolved by the hybrid GA. The post-analysis of results unveils that the complaint mechanisms are always supported at unique location that can evolve the non-dominated solutions.

Generic Topology Optimization Based on Local State Features

“…However, this awareness demands that evolutionary approaches show their usefulness also in the face of more complex problems that are not commonly addressed by gradient-based methods. EC approaches for topology have been applied to a number of such problems: Topology optimization of piezo-electric sensor/actuator pairs for torsional vibration control [202], artificial magnetic meta materials [43], path generating compliant mechanisms [160,162,186,188], compliant mechanism for the design of an adaptive car seat concept prototype [149], electrical motors subject to electromagnetic simulations [53,54], flapping wing venation subject to aeroelastic analysis [176], simultaneous topology optimization of membrane wings and their compliant flapping mechanisms [177], photovoltaic collectors [62] and the design of random frequency profile structures [45].…”

“…Furthermore, a hybrid genetic algorithm with local search for a multi-objective optimization has been proposed recently [201]. By a different research group [160,163], a structure is defined more simply by connected piece-wise linear segments with different length and orientations.…”

Evolutionary Black-Box Topology Optimization: Challenges and Promises

“…Another, hybrid approach, combining a grid and a geometric representation is proposed by Balamurugan et al [68], which uses a bit array optimization that yields a skeleton starting point for a graph optimization, where the nodes are rectangles of material connected by edges defined by the skeleton. In [84], [143], the structure is defined by piecewise linear segments with different length and orientations. Recently, a constructive solid geometry is proposed by Ahmed et al [211], [212], [42], [45].…”

A New Improved Voltage Stability Assessment Index-centered Integrated Planning Approach for Multiple Asset Placement in Mesh Distribution Systems

“…The DG capacity integrated at bus 'm' in both active and reactive power terms (P DG and Q DG ) must not exceed the maximum value of power counterparts from substation (P SS and Q SS ) as illustrated in Equations (33) and (34) [48]:…”