Immune Optimization of Double-Sided Welding Sequence for Medium-Small Assemblies in Ships Based on Inherent Strain Method

Shen, Yi; Liu, Suodong; Yuan, Mingxin; Dai, Xianling; Lan, Jinchun

doi:10.3390/met12071091

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…The immune optimization algorithm inspired by the immune information processing mechanism has been successfully applied in various engineering fields in recent years because of its strong optimization ability [26][27][28]. In order to improve the path planning accuracy and efficiency of the ship welding robot, the immune optimization algorithm is introduced in this paper.…”

Section: Immune Algorithm Based On Cluster Analysis and Self-circulationmentioning

confidence: 99%

Multi-Objective Immune Optimization of Path Planning for Ship Welding Robot

et al. 2023

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In order to improve the welding efficiency of the ship welding robot, the path planning of the welding robot based on immune optimization is proposed by taking the welding path length and energy loss as the optimization goals. First, on the basis of the definition of the path planning of the welding robot, the grid modeling of the robot’s working environment and the triangular modeling of the welding weldments are carried out. Then, according to the working process of the welding robot, the length objective function, including the welded seam path and the welding torch path without welding, is constructed, and the energy loss function is constructed based on the kinematics and Lagrange function. Finally, the immune optimization algorithm based on cluster analysis and self-circulation is introduced to realize the multi-objective optimization of the path planning for the ship welding robot. The test results of four kinds of ship welding weldments show that compared with the simple genetic algorithm, immune genetic algorithm, ant colony algorithm, artificial bee colony, particle swarm optimization, and immune cloning optimization, the proposed multi-objective immune planning algorithm is the best in terms of planning path length, energy consumption, and stability. Furthermore, the average shortest path and its standard deviation, the average minimum energy consumption and its standard deviation, and the average lowest convergence generation and its standard deviation are reduced by an average of 9.03%, 54.04%, 8.23%, 19.10%, 27.84%, and 52.25%, respectively, which fully verifies the effectiveness and superiority of the proposed welding robot path planning algorithm.

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Section: Immune Algorithm Based On Cluster Analysis and Self-circulationmentioning

confidence: 99%

Multi-Objective Immune Optimization of Path Planning for Ship Welding Robot

et al. 2023

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“…In recent years, the development of shipbuilding and marine industries has made the dimensions of steel structures increase rapidly, among which welding usually accounts for 30% of the total processing time [1][2][3][4]. The conventional welding methods with a low heat input result in a low construction efficiency and difficulty in meeting the demands of shipbuilding.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Temperature Evolution, Solid Phase Transformation, and Residual Stress Distribution during Multi-Pass Welding Process of EH36 Marine Steel

Wen,

Wang,

Jiao

et al. 2024

Metals

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An investigation into the evolution of temperature and stress fields, as well as the phase transformation in marine steel EH36 during multi-pass welding, and their subsequent effects on Charpy impact toughness, remains in great lack. In this study, submerged arc welding (SAW) was employed to carry out multi-pass welding on EH36 steel plates, followed by the low-temperature toughness test of weldments. Comsol software version 6.2 and finite element analysis are utilized to simulate the evolution of the microstructure, temperature, and residual stress fields throughout the multi-pass welding process. As welding progressed, the heat absorption along the vertical direction was enhanced; in contrast, a decrease is observed in the horizontal direction away from the heat source. This complicated temperature history favors the bainite transformation in the vicinity to the heat source, whereas areas more remote from the weld zone exhibit a higher prevalence of acicular ferrite due to the reduced cooling rate. The concentration of residual stress is predicted to occur at the boundary of the melt pool and at the interface between the weld and the heat-affected zone, with the greatest deformation observed near the fusion line at the top surface of the model. Furthermore, multi-pass welding may alleviate the residual stress, especially when coupled with the formation of acicular ferrite upon cooling, leading to improved low-temperature impact toughness in regions remote from the heat source. These findings offer valuable insights for the design and optimization of multi-pass welding in future applications.

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“…Sulaiman and Manurung et al [17,18] predicted the deformations caused by welding of mild steel with butts and T-joints based on ISM for plate thicknesses of 4 mm, 6 mm and 9 mm, respectively, and were able to estimate the deformations caused by welding within an acceptable accuracy by comparing the simulation results with the experimental results. Shen et al [19] employed the inherent strain method in conjunction with an artificial immune algorithm to optimize the double-sided welding sequence for small assemblies in ships. Experimental validation demonstrated the feasibility and high efficiency of the immune clonal algorithm in double-sided welding sequence optimization.…”

Section: Introducementioning

confidence: 99%

Numerical Simulations and Experimental Verification of T-Structure Welding Deformation Using the Step-by-Step Loading Inherent Strain Method

Wang

Miao

et al. 2023

Metals

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The existing inherent strain method is improved in this paper to address the shortcomings of the existing inherent strain method in the process of loading inherent strain. Unlike the traditional inherent strain method, which uses one-step loading inherent strain for each weld seam for one-time elastic calculation, the improved inherent strain method uses step-by-step loading inherent strain for each weld seam for multiple elastic calculations to predict welding deformation. The step-by-step loading inherent strain method (SBS-ISM) is more in line with the actual welding deformation generation process. Firstly, the local finite element model of the T-joint was used to analyze the welding deformation and extract the inherent strain by using the thermal elastic–plastic finite element method (TEP-FEM). Subsequently, the one-step loading inherent strain method (OS-ISM) and the step-by-step loading inherent strain method (SBS-ISM) were used to predict the welding deformation for the same local finite element model, respectively. The comparative results showed that the trend and magnitude of welding deformation calculated using SBS-ISM was much closer to those calculated using TEP-FEM. The OS-ISM and SBS-ISM were used to predict the welding deformation of the backward centrifugal fan impeller under different welding sequences, respectively. By comparing the welding deformation results calculated using the two inherent strain methods with the experimental results, it was demonstrated that the step-by-step loading inherent strain method (SBS-ISM) provides more accurate and reliable predictions of welding deformation for large and complex thin-walled T-shaped structural components compared to the one-step loading inherent strain method (OS-ISM).

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Immune Optimization of Double-Sided Welding Sequence for Medium-Small Assemblies in Ships Based on Inherent Strain Method

Cited by 3 publications

References 24 publications

Multi-Objective Immune Optimization of Path Planning for Ship Welding Robot

Multi-Objective Immune Optimization of Path Planning for Ship Welding Robot

Numerical Simulation of Temperature Evolution, Solid Phase Transformation, and Residual Stress Distribution during Multi-Pass Welding Process of EH36 Marine Steel

Numerical Simulations and Experimental Verification of T-Structure Welding Deformation Using the Step-by-Step Loading Inherent Strain Method

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