Justification of the Application of the Lost-Wax Casting Method in Order-Based Multi-Nomenclature Production

Q3 Mathematics
V. Dolgov, P. Nikishechkin, N. Dolgov
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引用次数: 0

Abstract

It proposes classification of the manufactured wax models based on using standard and special technological equipment, i.e., the molds. Two groups of wax models were formed: unique and universal. The lost-wax casting method of models produced by a combined method that included production of the universal wax models in standard molds and unique ones --- by the method of additive technologies appeared to obtain significant application potential in the demonstrative multi-nomenclature production. Time relationships in the technological cycles of lost-wax casting obtained by the traditional method in molds and the combined method are revealed. Calculations of technological cycles for manufacturing the lost-wax castings by traditional and combined methods are provided. Ambiguity in selection of the manufacturing method for different batches of castings is shown due to the ratio of the technological preparation duration in production of the unique wax models, manufacture in the molds and printing. It is demonstrated that to produce a batch of 1100 castings, it is rational to obtain wax models using the combined method; however, for a batch of 1200 castings, it is rational to obtain universal and unique wax models using the traditional method in the molds. Cyclograms are provided for the casting batches under consideration. Main criteria for selecting a method for obtaining wax models in the demonstrative multi-nomenclature production are described
失蜡铸造法在基于订单的多名称生产中的应用论证
提出了基于使用标准和特殊工艺设备即模具的蜡模分类。形成了两组蜡模型:独特的和通用的。用标准模具生产通用蜡模型和用增材技术生产独特蜡模型的组合方法生产模型的失蜡铸造方法在示范性多命名生产中获得了显着的应用潜力。揭示了传统模内法和组合法失蜡铸造工艺周期的时间关系。给出了用传统方法和组合方法制造失蜡铸件的工艺周期计算。不同批次铸件的制造方法选择的模糊性是由于生产独特蜡模型的技术准备时间、模具制造和印刷的比例造成的。结果表明,为了生产一批1100件铸件,采用组合法获得蜡模是合理的;然而,对于一批1200件铸件,在模具中采用传统方法获得通用的、独特的蜡模是合理的。为正在考虑的铸造批次提供了环图。描述了在示范多命名法生产中选择获得蜡模型方法的主要标准
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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