{"title":"Justification of the Application of the Lost-Wax Casting Method in Order-Based Multi-Nomenclature Production","authors":"V. Dolgov, P. Nikishechkin, N. Dolgov","doi":"10.18698/0236-3941-2023-2-47-60","DOIUrl":null,"url":null,"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","PeriodicalId":12961,"journal":{"name":"Herald of the Bauman Moscow State Technical University. Series Natural Sciences","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of the Bauman Moscow State Technical University. Series Natural Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18698/0236-3941-2023-2-47-60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
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
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.