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Minimum Quantity Lubrication: Quantifying Non-Deterministic Component Of Sustainability Index For Machining Operations

机译:最小润滑量:量化机加工过程中可持续性指标的不确定性成分

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摘要

Sustainable manufacturing is pursued to achieve the long-term sustainable development of manufacturing systems. In practice, the sustainability of any system is difficult to assess because of uncertain factors involved in the sustainability study. Experts have defined a sustainability index in order to define any system. This sustainability index consists of two components, namely the deterministic component and non-deterministic component. The nondeterministic component consists of the contributing factors of societal, environmental, and economic effects. On account of the uncertainties involved and the non-quantifiable nature of the non-deterministic component, fuzzy logic is used to assess the non-deterministic component. In this paper the nondeterministic component of the sustainability index for a machining process withudMinimal Quantity Lubrication is calculated using fuzzy logic. The basic objective of this study is to quantify the non-deterministic component of the sustainability index by using a fuzzy rule-based model for the anticipation and functional analysis of machining with minimal quantity lubrication.
机译:追求可持续制造以实现制造系统的长期可持续发展。实际上,由于可持续性研究中涉及的不确定因素,很难评估任何系统的可持续性。专家已经定义了可持续性指数,以便定义任何系统。该可持续性指数包括两个部分,即确定性部分和非确定性部分。非确定性组成部分包括社会,环境和经济影响的影响因素。考虑到所涉及的不确定性和不确定性成分的不可量化性,使用模糊逻辑评估不确定性成分。在本文中,使用模糊逻辑计算具有最小润滑量的加工过程的可持续性指标的不确定性分量。这项研究的基本目标是通过使用基于模糊规则的模型对使用最少润滑量的加工进行预测和功能分析来量化可持续性指数的不确定性成分。

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