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

Srinivas, G. Lakshmi; Javed, Arshad

doi:10.1007/s12206-021-0319-4

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The theoretical computation of lattices, topology optimization, and finite element analysis was performed as per the guidance given by [31], [32] using Altair inspire 2022.1 [33], [34]. The main objective of this simulation experiment is to find the optimal material distribution to minimize mass and maximize frequency and stiffness considering mass (30%), minimum safety factor (1.5), lattice thickness (minimum = 2.3mm, maximum = 4.6mm) and force (in X and Z directions)using Ti-6Al-4V of aircraft bracket.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Titanium Alloy-Ti-6Al-4V to Minimize Mass, Maximize Stiffness and Frequency in Additive Manufacturing

Efa,

Gutema,

Lemu

et al. 2024

KEM

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Manufacture of intricate components, products without the need for tooling, shorter lead times and material grading are the most beneficial applications of Additive Manufacturing (AM). The goal of this study is to develop a design optimization framework for developing an aircraft component using additive manufacturing utilizing topology and lattice optimization techniques. Solid works were used to create a 3D model of an aircraft bracket made of Titanium alloy. To minimize mass and maximize frequency and stiffness, the optimization was performed using Altair Inspire 2022.1 software. Component optimization was performed using the finite element method, which entails reducing material while maintaining the proper function of the modelled component. The optimal performance of the designed aerospace component using topology with lattice infill is achieved with minimization of mass from 2.24810 kg to 0.16235 kg and the volume from 5.07579x105 mm3 to 4.70922x102 mm3, frequency is increased from 0.02 kHz to 13.9537 kHz, stiffness is maximized from 1,485,884.1 N/m to 4,558,924.0939 N/m with a factor of safety of 1.73. Therefore, the mechanical properties of the optimized model can full fill its overall performance.

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Section: Methodsmentioning

confidence: 99%

Optimization of Titanium Alloy-Ti-6Al-4V to Minimize Mass, Maximize Stiffness and Frequency in Additive Manufacturing

Efa,

Gutema,

Lemu

et al. 2024

KEM

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show abstract

“…The non-uniform step angle value is considered for topology generation based on deflection threshold value rather than uniform step angle. 30 Because the non-uniform angular position consumes 5-8 times less computational time when compared to the uniform angular position. The complete MATLAB routines are implemented in Dell Workstation with model-5810, 32 GB 2.4 GHz RAM, and Processor 0E5-1650 version 3 (0.0035 THz Turbo).…”

Section: Methodsmentioning

confidence: 99%

“…Thus a minimum of maximum performance value is selected as the best performed optimized topology for compliance, deflection, and Stress. 1,30 The obtained topology based on each combination also calculates the energy consumption using the 1-DOF dynamic model as detailed in 1-DOF manipulator-link dynamic model . Each combination, along with the mean performance values of manipulator-link, is provided in Table 3.…”

Section: Simulation Of the Performancementioning

confidence: 99%

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Parametric analysis of topologically optimized mechanical member considering dynamic loading

Srinivas

Javed

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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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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Energy efficiency enhancement of SCORBOT ER-4U manipulator using topology optimization method

Srinivas

Aadityaa

Singh

et al. 2021

Mechanics Based Design of Structures and Machines

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

Cited by 6 publications

References 23 publications

Optimization of Titanium Alloy-Ti-6Al-4V to Minimize Mass, Maximize Stiffness and Frequency in Additive Manufacturing

Optimization of Titanium Alloy-Ti-6Al-4V to Minimize Mass, Maximize Stiffness and Frequency in Additive Manufacturing

Parametric analysis of topologically optimized mechanical member considering dynamic loading

Energy efficiency enhancement of SCORBOT ER-4U manipulator using topology optimization method

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