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质量是现代农机装备市场竞争力的一个重要因素。本文将顾客需求的模糊概念量化并融入农机零部件可靠性设计之中,提出了一种基于关键质量特性的可靠性优化方法。首先,运用模糊回归理论优化质量功能配置和公理设计的集成模型,提取农机产品设计各阶段的关键质量特性;其次,以可靠性设计理论和应力—强度干涉模型为指导,建立基于关键质量特性的农机零部件可靠性优化设计数学模型;最后,运用带约束的自适应粒子群算法对该数学模型进行求解分析。以水稻摆栽机为例,详细分析了提取零部件关键质量特性即拨盘轴设计参数流程,并分别计算了可靠度在0.995和0.999时的优化设计参数,通过Monte-Carlo法对比,其拨盘轴最优截面积相对误差分别为2.53%和2.40%。实验验证了关键质量特性分析在农机零部件可靠性优化设计中的正确性和高效性。
Quality is an important factor in the competitiveness of modern agricultural equipment market. In this paper, the fuzzy concept of customer needs is quantified and integrated into the reliability design of agricultural machinery parts, and a reliability optimization method based on the key quality characteristics is proposed. First of all, using the fuzzy regression theory to optimize the integrated model of quality function allocation and axiom design, the key quality characteristics of agricultural machinery product design stages are extracted. Secondly, based on the reliability design theory and the stress-intensity interference model, Finally, the mathematic model is solved by adaptive particle swarm optimization with constraints. Taking the rice transplanter as an example, the process of extracting the key quality characteristics of the parts, namely the design of the dial shaft parameters, is analyzed in detail. The optimal design parameters of the dial shaft with the reliability of 0.995 and 0.999 are respectively calculated. By Monte-Carlo method, The relative error of the optimal cross-sectional area of the shaft was 2.53% and 2.40% respectively. The experiment verifies the correctness and efficiency of the key quality characteristics analysis in the optimal design of the reliability of agricultural machinery components.