多变量系统的判别分析方法

IF 0.4 Q4 METALLURGY & METALLURGICAL ENGINEERING Obrabotka Metallov-Metal Working and Material Science Pub Date : 2023-03-15 DOI:10.17212/1994-6309-2023-25.1-85-97
D. Lobanov, Olesya Rafanova
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引用次数: 0

摘要

介绍现代机器制造系统的发展和应用趋势在某种程度上造成了在存在替代对象的情况下或在存在大量比较标准的情况下进行分析和选择的问题,这些标准是对象或系统有效性的指标。优化生产系统设计解决方案的主要困难取决于复杂的技术问题:大量的影响因素和缺乏模式。有效对象和系统的选择往往是一个复杂和多标准的过程,需要大量时间,因此降低了生产准备组织的效率。在这方面,为了准备和通过生产条件中各种复杂的技术和经济决策,需要采用最合理的生产组织形式和方法,采取系统的方法。这项工作的目的:为多变量系统的标准分析创建一种通用的方法。调查方法。由于从大量选项中进行了合理的选择,因此提出了一种旨在提高预生产组织效率的方法。合理解决方案的选择是基于在特定情况下做出合理决定时按优先顺序排列的指标以及所考虑的对象和系统的类型。指标可以是可变的,考虑到生产的具体情况。结果和讨论。作为所提出方法的实际应用实例,对STEF-1玻璃纤维-聚合物复合材料的刃口加工过程与承载各种嵌入材料的联锁侧铣刀进行了比较分析。作为比较参数,采用了工艺刀具寿命周期、切削性能和切削实施过程中降低的成本。根据根据所提出的方法进行的比较多准则分析的结果,可以看出,在具有特定参数的系统中,实施该技术的优先级是配备WC–3Co合金刀片的工具,其具有最高的权重准则系数值。根据分析结果,配备WC–2TaC–6Co合金刀片的工具在合理性上接近,这允许在选择时将其推荐为类似工具。如果有必要分析复杂的多变量系统/对象,则可以看出该方法的拟议应用范围。对象/系统既可以是在各种可比条件下科学解决方案的变体,也可以是在设计和生产技术准备的选择阶段的设计、技术解决方案、结构和工具材料、系统实现算法的变体。比较参数可以是物理、机械、技术、操作特性;技术、经济和质量指标;具体特性和参数。所提出的技术将减少在不同生产条件下做出新决策的时间。使用具有已知和明确定义的参数的方法来表征多变量系统,可以对生产的组织和技术准备过程进行算法化,并随后实现自动化。
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Methodology for criteria analysis of multivariant system
Introduction. Trends in the development and application of modern machine-building systems somehow create the problem of analysis and choice in the presence of alternative objects, or with a large number of comparison criteria - indicators of the effectiveness of objects or systems. The main difficulties in optimizing the solution for designing production systems depend on complex technological problems: a large number of influencing factors and the absence of patterns. The choice of effective objects and systems is often a complex and multi-criteria process that requires a lot of time and, as a result, reduces the efficiency of the organization of production preparation. In this regard, for the preparation and adoption of technical and economic decisions of various complexity in production conditions, a systematic approach is required using the most rational forms and methods of organizing production. The purpose of the work: to create a generalized methodology for the criteria analysis of multivariant systems. The methods of investigation. A methodology is proposed aimed at improving the efficiency of the organization of pre-production due to a reasonable choice from a large number of options. The choice of a rational solution option is based on the ranking of indicators by priority at the time of making a reasonable decision in a specific situation and the type of object and system under consideration. Indicators can be variable, taking into account the specifics of production. Results and Discussion. A comparative analysis of the process of edge cutting machining of the STEF-1 fiber-glass polymer composite material with an interlocking side mill carrying various insert materials is conducted as an example of the practical application of the proposed methodology. As comparison parameters, the period of technological tool life, cutting performance and reduced costs in the implementation of cutting are taken. According to the results of a comparative multi-criteria analysis carried out according to the presented method, it follows that the priority in the system under consideration with the specified parameters for the implementation of the technology is the tool equipped with WC–3Co alloy inserts, which has the highest value of the weight criteria coefficient. According to the results of the analysis, a tool equipped with WC–2TaC–6Co alloy inserts is close in rationality, which allows recommending it as an analogue when choosing. The scope of the proposed application of the methodology is seen if it is necessary to analyze complex multivariant systems/objects. The objects/systems can be both variants of scientific solutions under various conditions of comparability, as well as design, technological solutions, structural and instrumental materials at the selection stage in the design and technological preparation of production, variants of the system implementation algorithm. The comparison parameters can be physical, mechanical, technological, operational properties; technical, economic and quality indicators; specific characteristics and parameters. The proposed technique will reduce the time for making new decisions under varying production conditions. The use of the methodology with known and well-defined parameters characterizing multivariant systems makes it possible to algorithmize, and subsequently automate, the process of organizational and technological preparation of production.
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Obrabotka Metallov-Metal Working and Material Science
Obrabotka Metallov-Metal Working and Material Science METALLURGY & METALLURGICAL ENGINEERING-
CiteScore
1.10
自引率
50.00%
发文量
26
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