Mobile rack AS/RS dimensions optimization for single cycle time minimization

Kouloughli, Sihem; Feciane, Malika Korso; Sari, Zaki

doi:10.1007/s00170-022-09450-3

Cited by 3 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When working in the field, the frame is the main bearing part of the straw-crushing residual film recycling machine, and its bearing capacity is the key factor affecting the quality of straw-returning and residual film recycling. At the same time, the material, size and structure of the frame are important factors affecting its modal [19]. The optimization process of this paper is shown in Figure 2.…”

Section: Machine Composition and Working Principlementioning

confidence: 99%

Optimization Design of Straw-Crushing Residual Film Recycling Machine Frame Based on Sensitivity and Grey Correlation Degree

Zhao,

Lyu,

Wang

et al. 2024

Agriculture

View full text Add to dashboard Cite

This paper takes the frame as the research object and explores the vibration characteristics of the frame to address the vibration problem of a 1-MSD straw-crushing and residual film recycling machine in the field operation process, and an accurate identification of the modal parameters of the frame is carried out to solve the resonance problem of the machine, which can achieve cost reduction and increase income to a certain extent. The first six natural frequencies of the frame are extracted by finite element modal identification and modal tests, respectively. The rationality of the modal test results is verified using the comprehensive modal and frequency response confidences. The maximum frequency error of modal frequency results of the two methods is only 6.61%, which provides a theoretical basis for the optimal design of the frame. In order to further analyze the resonance problem of the machine, the external excitation frequency of the machine during normal operation in the field is solved and compared with the first six natural frequencies of the frame. The results show that the first natural frequency of the frame (18.89 Hz) is close to the external excitation generated by the stripping roller (16.67 Hz). The first natural frequency and the volume of the frame are set as the optimization objectives, and the optimal optimization scheme is obtained by using the Optistruct solver, sensitivity method, and grey correlation method. The results indicate the first-order natural frequency of the optimized frame is 21.89 Hz, an increase of 15.882%, which is much higher than the excitation frequency of 16.67 Hz, and resonance can be avoided. The corresponding frame volume is 9.975 × 107 mm3, and the volume reduction is 3.46%; the optimized frame has good dynamic performance, which avoids the resonance of the machine and conforms to the lightweight design criteria of agricultural machinery structures. The research results can provide some theoretical reference for this kind of machine in solving the resonance problem and carrying out related vibration characteristics research.

show abstract

Section: Machine Composition and Working Principlementioning

confidence: 99%

Optimization Design of Straw-Crushing Residual Film Recycling Machine Frame Based on Sensitivity and Grey Correlation Degree

Zhao,

Lyu,

Wang

et al. 2024

Agriculture

View full text Add to dashboard Cite

show abstract

Modelling and optimisation of single-cycle time for mobile rack AS/RS

Ghomri

Rimouche

2022

International Journal of Production Research

View full text Add to dashboard Cite

A Mixed Algorithm for Integrated Scheduling Optimization in AS/RS and Hybrid Flowshop

Jin

et al. 2022

Energies

View full text Add to dashboard Cite

The integrated scheduling problem in automated storage and retrieval systems (AS/RS) and the hybrid flowshop is critical for the realization of lean logistics and just-in-time distribution in manufacturing systems. The bi-objective model that minimizes the operation time in AS/RS and the makespan in the hybrid flowshop is established to optimize the problem. A mixed algorithm, named GA-MBO algorithm, is proposed to solve the model, which combines the advantages of the strong global optimization ability of genetic algorithm (GA) and the strong local search ability of migratory birds optimization (MBO). To avoid useless solutions, different cross operations of storage and retrieval tasks are designed. Compared with three algorithms, including improved genetic algorithm, improved particle swam optimization, and a hybrid algorithm of GA and particle swam optimization, the experimental results showed that the GA-MBO algorithm improves the operation efficiency by 9.48%, 19.54%, and 5.12% and the algorithm robustness by 35.16%, 54.42%, and 39.38%, respectively, which further verified the effectiveness of the proposed algorithm. The comparative analysis of the bi-objective experimental results fully reflects the superiority of integrated scheduling optimization.

show abstract

Mobile rack AS/RS dimensions optimization for single cycle time minimization

Cited by 3 publications

References 23 publications

Optimization Design of Straw-Crushing Residual Film Recycling Machine Frame Based on Sensitivity and Grey Correlation Degree

Optimization Design of Straw-Crushing Residual Film Recycling Machine Frame Based on Sensitivity and Grey Correlation Degree

Modelling and optimisation of single-cycle time for mobile rack AS/RS

A Mixed Algorithm for Integrated Scheduling Optimization in AS/RS and Hybrid Flowshop

Contact Info

Product

Resources

About