在设计准备阶段分析和选择用于制造产品的复合材料

D. V. Lobanov, O. Rafanova
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摘要

在本文中,我们着手在设计准备阶段分析和选择新材料,用于制造复合材料产品,以取代传统的结构金属。在研究中,我们采用了基于矩阵分析的多元系统多标准分析法。在比较研究中,考虑到这些材料的具体特性,使用了众所周知的参考数据、基于材料科学研究的建议,以及这些材料成型方法的技术、经济和质量数据。在三种可比性条件下,对用于设计聚合物复合材料产品的八种不同材料进行了比较分析,目的是取代传统的结构材料。第一个条件考虑了所有选定材料的物理和机械性能及其成本。第二个条件强调材料的极限强度、弹性模量和成本。第三个条件与第二个条件部分相似,但抗压强度除外。结果表明,在第一和第二种条件下,产品设计最合理的复合材料是玄武岩纤维增强聚合物,其重量标准系数(q)在第一种情况下最高,为 0.3947,在第二种情况下最高,为 0.3955。在第三种可比性条件下,碳纤维被认为是最佳复合材料,其 q 值最高,为 0.3341。该方法可根据经验研究积累的知识库,对产品材料、刀具材料、切削方式和刀具几何形状进行分析和选择。在三种可比性条件下对所开发的方法进行了测试。理论研究表明,根据评估系统的复杂程度,使用该方法可将预生产效率提高 2-3 倍。
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Analysis and selection of composite material for the manufacture of products during the design preparation stage
In this article, we set out to analyse and select new materials at the design preparation stage for the manufacture of composite products to replace conventional structural metals. In the study, a multi-criteria analysis of multivariate systems based on matrix analysis was used. For comparative examination, the well-known reference data, recommendations based on the scientific research of materials, as well as technical, economic and qualitative data of forming methods for these materials, were used, taking into account their specific properties. A comparative analysis was carried out for eight different materials used for the design of polymer composite products, aiming to replace conventional structural materials under three comparability conditions. The first condition considers all selected physical and mechanical properties of the materials and their costs. The second condition emphasises the ultimate strength of the material, its elastic modulus and cost. The third condition is partially similar to the second condition, with the exception of the compressive strength. It was established that the most rational composite for the product design under the first and second conditions is a basalt fibre-reinforced polymer, with the highest weight criterion coefficient (q) of 0.3947 in the first case and 0.3955 in the second case. For the third condition of comparability, carbon fibre was found to be the optimal composite material with the highest q value of 0.3341. The methodology allows product materials, tool materials, cutting regimes and tool geometry to be analysed and selected based on the accumulated knowledge base derived from empirical research. The developed methodology was tested under the three comparability conditions. Theoretical studies showed that the use of the methodology could increase the efficiency of pre-production by 2–3 times, depending on the complexity of the evaluated system.
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