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A hybrid methodology ofr quantifying the cost and productivity of manufacturing scenarios for the automated fiber placement of aircraft skins

机译:用于量化飞机蒙皮自动纤维放置的制造方案的成本和生产率的混合方法

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As new composites manufacturing processes become technically feasible, one of the first questions to be answered prior to investing into process development and deployment is the cost competitiveness with other existing manufacturing methodologies. While there are considerable analytical test methods available for assuring the mechanical performance of composite components, only a few cost analysis tools for composites manufacturing are available. In particular, there exists a need predict and analyze the cost-benefit for new and developing processes, since process economics is perhaps the biggest obstacle to the practical applicaiton of many composite materials. The estimation of the cost of composite structures is complicated by the interrelation of process parameters within each step, and the general lack of historical protocol since such information would not yet be present for a developing process. This paper describes selected results freom the first part of a multi-year research effort aimed at establishing a robust cost and productivity model applicable to economics analysis of automated fiber placement of thermoset and thermoplastic composites for aerospace structures, including alternative curing procedures. The objective of this effort is not only to predict specific costs for a composite structure, but to be able to estimate the partial derivative of cost with respect to changes in process features. This objective helps determine the potential payoff of alternate R&D investment scenarios.
机译:随着新的复合材料制造工艺在技术上变得可行,在投资进行工艺开发和部署之前首先要回答的问题之一是与其他现有制造方法的成本竞争力。尽管有相当多的分析测试方法可用来确保复合材料部件的机械性能,但只有少数几种用于复合材料制造的成本分析工具可用。特别地,存在对新工艺和开发工艺的成本效益进行预测和分析的需求,因为工艺经济学可能是许多复合材料实际应用的最大障碍。由于每个步骤中工艺参数的相互关系以及历史记录协议的普遍缺乏,使复合结构的成本估算变得复杂,因为此类信息对于开发过程尚不存在。本文描述了为期多年的研究成果的一部分,这些研究成果旨在建立一个稳健的成本和生产率模型,适用于航空结构用热固性和热塑性复合材料的自动纤维铺放的经济分析,包括替代性固化程序。这项工作的目的不仅在于预测复合结构的特定成本,而且还能够针对过程特征的变化来估计成本的偏导数。该目标有助于确定替代研发投资方案的潜在收益。

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