{"title":"DYNAMIC MODEL OF COMBINED AGGREGATION OF ADDITIVE MANUFACTURING PROCESS","authors":"A. Vinnichenko","doi":"10.31799/978-5-8088-1558-2-2021-2-112-116","DOIUrl":null,"url":null,"abstract":"The paper presents methods and approaches for mathematical modeling and rationalization of flexible additive manufacturing, as well as other processes by which it is possible to create additive models for their integration into the system of experimental or pilot production. The work has also formed and synthesized a process model, which includes flexible production indicators, service indicators, and a developed criterion base for their assessment. The work takes into account the optimization criteria, as well as maximizing and minimizing risks for additive manufacturing, taking into account the possible risk component when deploying new processes for experimental and small-scale production. The models and methods described in the article will make it possible to carry out mathematical modeling and subsequent improvements for the flexible production process using additive technologies, used as a means of achieving the rational use of existing production resources within the framework of existing scientific and production complexes.","PeriodicalId":297099,"journal":{"name":"The Second All-Russian Scientific Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second All-Russian Scientific Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/978-5-8088-1558-2-2021-2-112-116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents methods and approaches for mathematical modeling and rationalization of flexible additive manufacturing, as well as other processes by which it is possible to create additive models for their integration into the system of experimental or pilot production. The work has also formed and synthesized a process model, which includes flexible production indicators, service indicators, and a developed criterion base for their assessment. The work takes into account the optimization criteria, as well as maximizing and minimizing risks for additive manufacturing, taking into account the possible risk component when deploying new processes for experimental and small-scale production. The models and methods described in the article will make it possible to carry out mathematical modeling and subsequent improvements for the flexible production process using additive technologies, used as a means of achieving the rational use of existing production resources within the framework of existing scientific and production complexes.