Strength analysis and optimization of welding robot mechanism in emergency stop state

Poruba, Zdeněk; Podešva, Jiří; František, Ondřej; Fusek, Martin; Brázda, Robert; Sadílek, Marek

doi:10.1016/j.pisc.2015.11.053

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Yao et al [11] introduced the dynamic analysis method of welding robots upper arm into the topological optimization process of the structure, and realizes the lightweight of the whole robots and the improvement of the natural frequency. Different from the above two optimization processes, Poruba et al [12] studied the strength analysis and optimization of the welding robots mechanism in emergency stop state, and quantifies the peak values of the stress caused by the dynamical component of loading and highlights the potential risks associated with this phenomenon. Aside from the structural optimization, Wu et al [13] used a moment approach to analyze the reliability of positioning accuracy of welding robots in consideration of the uncertain variables of the link dimensions and joint clearances, whose deviation is caused by manufacturing and assembling errors.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots

Zhi

Chen

et al. 2020

IEEE Access

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In this work, a fuzzy design optimization-based fatigue reliability analysis technique is addressed to obtain the optimal fatigue reliability of the structures with random parameters under the minimum fluctuation of fatigue life. The challenge of the problem lies in uncertainties involved from both structural parameters and loads, which renders the fatigue reliability becoming the primary problem to be considered in evaluating structural performance. In order to obtain the optimal fatigue reliability, the optimal mathematical models aiming at the mass and fatigue life of welding robots are constructed respectively, and the genetic particle swarm optimization algorithm and radial basis function neural network (GAPSO-RBFNN) based surrogate model is then presented. Moreover, fuzzy constraints are introduced into the optimization model, and the improved non-dominated sorting genetic algorithm (INSGA-III) optimization strategy is proposed to solve it, which can effectively reduce the workload by increasing the diversity of Pareto solutions during the iterative process. Finally, the optimized structure combined with numerical simulation method is adopted to analyze the fatigue reliability. After analysis steps are given in detail, a practical welding robot structure is presented to demonstrate the validity and reasonability of the developed methodology. INDEX TERMS Fuzzy design optimization, fatigue reliability, welding robots, surrogate model.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots

Zhi

Chen

et al. 2020

IEEE Access

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Finite Element Analysis and Design Optimisation of Welding robot base using ANSYS

Alhajri,

Ali Alajmi

2024

International Journal of Innovative Science and Research Techno

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The study on Finite Element Analysis and Design Optimization of a welding robot base using ANSYS explores the crucial role of welding robots in enhancing industrial productivity and quality. It addresses the challenges of structural integrity, operational efficiency, and durability under harsh conditions. The research focuses on optimizing the robot base design to withstand high production demands, using ANSYS for detailed modelling and simulation. It reviews previous studies highlighting the importance of vibrational characteristics and structural dynamics in robot design. The methodology involves creating a geometric model, defining material properties, meshing, and applying boundary conditions and loading scenarios. The results indicate that the optimized design significantly improves stress distribution, reduces deformation, and enhances the dynamic response, making the robot base more robust and reliable. The study concludes with recommendations for broader applications in robotic systems to improve safety and productivity in industrial settings.

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Strength analysis and optimization of welding robot mechanism in emergency stop state

Cited by 2 publications

References 2 publications

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots

Finite Element Analysis and Design Optimisation of Welding robot base using ANSYS

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