Methods for Increased Efficiency of FEM-Based Topology Optimization

Glamsch, Johannes; Deese, Kevin; Rieg, Frank

doi:10.2507/ijsimm18(3)482

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…According to equation (19), the data in table 12 are solved, and the objective weight of the partial load, full-load turning and modal conditions is: ω = [0.30, 0.26, 0.44].…”

Section: The Entropy Weight Methods Is Used To Solve the Weight Of Wo...mentioning

confidence: 99%

“…Springer et al [18] studied the feasibility of in-situ additive manufacturing of high-modulus steel block nanostructures, which opened up a new lightweight design method. Glamsch et al [19] studied the problem of long iteration calculation time in structural topology optimization and proposed a method to reduce the optimization time by using special structures for topology optimization. Kim [20] studied the lightweight problem of the automobile steering knuckle and replaced FCD600 cast iron with 6061 aluminum alloy, which reduced the quality and ensured the safety of use through the reconstruction of the structure.…”

Section: Introducementioning

confidence: 99%

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Multi-condition stability analysis and lightweight research of mining wide-body dump truck compartment

Liu,

Tian

et al. 2024

Meas. Sci. Technol.

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This paper proposes a multi-condition optimization method based on single condition optimization and weight. This method analyzes and discusses various working states of the wide-body dump truck and optimize its structure. Firstly, the modal shape and natural frequency of the carriage under modal conditions are analyzed using the finite element method. Combined with the mechanic’s theory, the carriage's force, deformation, and stress are studied under the turning and partial load conditions. This part provides a basis for subsequent stability analysis and lightweight research. According to the filtering white noise method and differential equation method, the f-class road model and the vehicle system dynamics model are established in MATLAB to study the influence of road vibration on the stability of the dump truck during operation. The carriage vibration data prove that the road vibration causes the low order resonance of the carriage and affects the stability of the dump truck. This part provides a basis for the subsequent stability optimization. Based on the above analysis, a multi-objective genetic algorithm (MOGA) based on the response surface is used to optimize the structural parameters of the carriage under partial load conditions, turning conditions and modal conditions, to realize the optimization of stability, mass, stress and deformation of the carriage. Finally, the entropy weight method is used to fuse the optimization results of the three working conditions. The correctness of the comprehensive optimization results is verified, and the wide-body dump truck carriage optimization is realized, proving the feasibility of the proposed method.

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“…According to equation (19), the data in table 12 are solved, and the objective weight of the partial load, full-load turning and modal conditions is: ω = [0.30, 0.26, 0.44].…”

Section: The Entropy Weight Methods Is Used To Solve the Weight Of Wo...mentioning

confidence: 99%

Section: Introducementioning

confidence: 99%

Multi-condition stability analysis and lightweight research of mining wide-body dump truck compartment

Liu,

Tian

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…As a base for estimating the effect of all parameters, it is used zero-based loading type and long life of N = 10 8 cycles to failure. Using Goodman's theory [10][11][12][13] fatigue factor of safety EFoS is calculated according to Eq. (3 a) considering the fatigue stress concentration factor Kfts, Eq.…”

Section: Fatigue Analysismentioning

confidence: 99%

Design and Simulation of the Controlled Failure of Custom-Built Rigid Shaft Coupling

Rasovic¹,

Cekic²,

Kaljun³

2022

Int. j. simul. model.

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In this paper, the use of conventional analytical calculating methods for designing the mechanical part with predicted endurance time is investigated. In a case study a design and dimensioning of custombuilt shaft coupling with torque limiting function was conducted. Necessary analytical calculations were carried out to determine the possible weak points of the current shaft coupling design. Numerical analyses of the newly designed shaft coupling were performed using predefined material properties and boundary conditions. Using Goodman criteria, the most suitable design was selected. Prototypes of shaft couplings with different designs based on the numerical analysis were tested to validate the numerical results. Analytical approach as well as numerical analysis were compared. The validation of the produced machine part is also performed. Results of the research work showed that conventional analytical methods can be applied to design and dimension a mechanical part with predicted failure following steps (methodology) described in the paper.

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“…A common computer-aided-engineering (CAE) tool for structural optimization is topology optimization (TO), which determines the optimal distribution of the material in a given design space at predefined loads and constraints [5][6][7]. A disadvantage of TO is that the derived design proposals cannot be manufactured by casting processes and, therefore, have to be redesigned manually [8,9].…”

Section: Structural Optimization Of Casting Partsmentioning

confidence: 99%

Combining Structural Optimization and Process Assurance in Implicit Modelling for Casting Parts

et al. 2021

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The structural optimization of manufacturable casting parts is still a challenging and time-consuming task. Today, topology optimization is followed by a manual reconstruction of the design proposal and a process assurance simulation to endorse the design proposal. Consequently, this process is iteratively repeated until it reaches a satisfying compromise. This article shows a method to combine structural optimization and process assurance results to generate automatically structure- and process-optimized die casting parts using implicit geometry modeling. Therefore, evaluation criteria are developed to evaluate the current design proposal and qualitatively measure the improvement of manufacturability between two iterations. For testing the proposed method, we use a cantilever beam as an example of proof. The combined iterative method is compared to manual designed parts and a direct optimization approach and evaluated for mechanical performance and manufacturability. The combination of topology optimization (TO) and process assurance (PA) results is automated and shows a significant enhancement to the manual reconstruction of the design proposals. Further, the improvement of manufacturability is better or equivalent to previous work in the field while using less computational effort, which emphasizes the need for suitable metamodels to significantly reduce the effort for process assurance and enable much shorter iteration times.

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Methods for Increased Efficiency of FEM-Based Topology Optimization

Cited by 7 publications

References 11 publications

Multi-condition stability analysis and lightweight research of mining wide-body dump truck compartment

Multi-condition stability analysis and lightweight research of mining wide-body dump truck compartment

Design and Simulation of the Controlled Failure of Custom-Built Rigid Shaft Coupling

Combining Structural Optimization and Process Assurance in Implicit Modelling for Casting Parts

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