Numerical evaluation of topologically optimized ribs for mechanical components

Lecture Notes in Mechanical Engineering

2021

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Topology optimization is an established method for mass reduction of a machine and structural components. Recently, this method is used to reduce industrial manipulator links by considering minimum compliance or stress as an objective function. In the present work, central link of three-DOF articulated manipulator is chosen for topology optimization. The initial material domain is optimized based on solid isotropic material with penalization (SIMP) approach using optimality criteria method. A MATLAB code is developed, which captures performance values such as maximum deflection and von Mises stress of the manipulator link. Further, topology and performance values obtained from MATLAB results are validated using simulation software ANSYS workbench 18.1 packages. The generated optimal topology closely resembles the MATLAB results. The obtained topology contains thin and irregular connections, which results in high-stress values and consumes significant manufacturing time and cost. Here, a methodology is proposed to simplify such elements with reduced stress and simple geometry without adding considerable volume. The proposed methodology is based on image processing techniques that are fused together in a systematic sequence for binary scaled images corresponding to density parameter matrix. The developed filter though this methodology is validated with stress analysis and shows unidirectional stress reduction nature.

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Section: Topology Optimizationmentioning

confidence: 99%

Topology Refinement from Design to Manufacturing Using Image Processing-Based Filtration Techniques

Lecture Notes in Mechanical Engineering

2021

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“…14,15 Most researchers initially optimized the robotic/mechanical parts considering static loading conditions at worst case or horizontal position. [16][17][18][19] However, for better design concerns, dynamic loads are needed; recently, limited trials are made to optimize the structural components topologically by considering dynamic loads. 1,[20][21][22] For a detailed explanation, the reader can also refer to the review article related to topology optimization of serial manipulators in the static and dynamic analysis.…”

Section: Introductionmentioning

confidence: 99%

Parametric analysis of topologically optimized mechanical member considering dynamic loading

Proceedings of the Institution of Mechanical Engineers, Part C:

2021

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The optimal topology and its performance in dynamic loading situations result in discontinue function corresponding to the input factors such as volume fraction, thickness, material property, and loading conditions. In a realist scenario, the performance prediction becomes erroneous and challenging for the components under dynamic loading conditions with uncertainties. The conventional closed-form deterministic approaches are complicated for these problems. Here, a method is presented to establish the relative influence and function relationship of the input factors with the performance values, including controllable and non-controllable uncertainties. The design of experiment approach is used to apply full factorial design with Taguchi’s orthogonal array; performances of the optimal topologies are considered responses. The non-uniform topology generation method is applied based on the deflection threshold value to generate topologies for dynamic conditions. A dynamic model of the manipulator-link is developed to apply boundary conditions and provide performance values: compliance, deflection, Stress, and energy consumption values. Statistical techniques such as the analysis-of-mean (ANOM), analysis-of-variance (ANOVA), signal-to-noise-ratio (SNR), and mean performance values are employed to observe the significance of input factors and generate equivalent preformation relation. From ANOM and ANOVA, all input parameters show mutual interaction; force is observed as the most significant factor. From SNR values, experimental combination number 9,9,6,1 is observed as the most robust for compliance (21.13), deflection (43.93), Stress (−16.64), and energy consumption (12.05). Similarly, at the same combinations, the mean performance values are minimum and coefficient of determination (R2) percentages of the model are 94.64%, 96.93%, 73.69%, and 95.14%.

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A novel method to synthesize a single topology for dynamically loaded members

2021

J Mech Sci Technol