Optimisation of spot-welding process using Taguchi based Cuckoo search algorithm

Abstract

The present work evaluated the efficiency of a Taguchi-based Cuckoo Search (CS) algorithm for optimizing the spot-welding process. The L9 orthogonal array of the Taguchi method is used for the conduction of required experiments. During the study input parameters are welding current (kA), hold time (cycles), welding time (cycles), and electrode pressure (kPa) while Peak Load, kN has been considered as an output parameter. The required objective function is developed through regression model formulation. Initially, CS operating parameters such as maximum number of iterations, number of nests, and probability to discover a cuckoo egg by host bird is optimized through the Taguchi method and are found as 40, 20, 0.5 respectively. That optimized CS further optimizes the spot-welding process. The maximum peak load of 34.5 kN is obtained if the welding current is 30.7 kA, welding time is 32 cycles, hold time is 20 cycles, and electrode pressure is 480 kPa respectively. Experimental validation yields a very low % error of 1.93% during optimization with an optimized CS method and while the error is substantially high if optimization is conducted using a non-optimized CS method

Multi-objective optimization of dual resource integrated scheduling problem of production equipment and RGVs considering conflict-free routing

“…For large-scale problems, traditional algorithms, such as the dynamic programming method and branch and bound method, can not achieve the speed and accuracy of small-scale scheduling optimization problems. This leads researchers to study evolutionary algorithms (EA), like penguin search optimization algorithm (PeSOA) [ 20 ], GA [ 21 ], cuckoo search (CS) [ 22 ] and particle swarm optimization (PSO) [ 23 ]. The current widely used evolutionary algorithms (EA) [ 24 ] are shown in Table 1 , which comprehensively considers the global search ability, Rate of convergence, simplicity and ease of implementation, applicability of complex constraint.…”

Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies

“…Currently, various efficient algorithms have been developed that could be of interest in the context of underground cables. The authors of [27] evaluated the efficiency of a Cuckoo Search (CS) algorithm based on Taguchi for optimizing the spot welding process. On the other hand, the authors of [28] introduced the Rat Swarm Optimizer (RSO), a new bioinspired metaheuristic based on natural rat hunting and attacking behaviors.…”

Tuning of controller parameters using Pythagorean fuzzy similarity measure based on multicriteria decision making for stable and time delayed unstable plants

“…Additionally, ACO R may consume more memory compared to other algorithms, which can be a problem in large-scale problems ( Socha, 2009 ; Socha & Dorigo, 2008 ). There are many studies on optimization studies in the literature, the studies presented here are just a few of them in recent years ( Chaki & Bose, 2022 ; Dhiman et al, 2021 ; Mzili, Mzili & Riffi, 2023 ; Mzili et al, 2022 ).…”