Abstract
Lightweight frame is very important to engineering machinery. In this paper, a lightweight design method is proposed for a mechanical mowing truck frame. This method combines topological optimization with topology optimization to design the frame successfully. Based on the finite element simulation, the strength analysis of the two working conditions (bending condition and torsion condition) for the mowing vehicle frame is carried out on the basis of satisfying the requirements of the frame work strength. This paper makes a comparative analysis of the frame after the second optimization using the combined method proposed. The comparison results show that the optimized frame meets the strength requirement, and its quality is 34.3% lower than before. The lightweight effect is obvious.
Highlights
Energy conservation and environmental protection are always the theme of world development
Topology optimization [13] can find the optimal topology by constraint load conditions
We examine the advantages and disadvantages of the optimization results and whether the results are more satisfactory than the single optimization
Summary
Energy conservation and environmental protection are always the theme of world development. Lightweight research can reduce energy consumption, reduce the manufacturing and use costs, improve the economic benefit, so it is very meaningful to study lightweight [2] [3] [4]. The paper optimizes the motorcycle frame, making its minimum quality, and the lightweight effect is remarkable [5]. In this paper [9] [10], the method of size parameter optimization for frame is designed, and lightweight effect is obvious. Topology optimization [13] can find the optimal topology by constraint load conditions. This method compared with the size optimization is much more difficulty, but this method can be changing the original structure, and this is its outstanding feature. We examine the advantages and disadvantages of the optimization results and whether the results are more satisfactory than the single optimization
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