基于加工要求和制造网络稳定性评价的特征加工方法决策

以往的特征加工方法决策过程大多都只考虑产品零件的加工要求,忽视所选加工方法对企业当前生产线网络产生的影响,造成新加工任务插入后,部分加工设备的加工任务过重,部分设备又没得到有效利用.为了解决以上问题,提出了一种基于加工要求和制造网络稳定性评价的特征加工方法的决策方法,揭示了影响特征加工方法决策的主要因素,并以孔特征为例建立了决策因素与加工方法间的模糊映射关系.通过应用模糊综合评价法筛选出了满足特征加工要求的常用加工方法;应用复杂网络理论对企业的生产线网络进行建模,利用网络的稳定性指标对已筛选出的特征加工方法进行了评价,并通过实例验证说明了所提方法的可行性.

面向STEP-NC自由曲面特征的加工操作方法智能决策

为提升复杂零件工艺规划的集成化和智能化,提出一种基于混合算法面向STEP-NC自由曲面特征的加工操作方法智能决策方法.首先,构建了面向STEP-NC自由曲面特征的加工操作方法决策BP神经网络模型.然后,基于自适应视野策略、自适应步长策略和混沌算法给出了改进的人工鱼群算法,并与BP神经网络相融合设计了用于STEP-NC自由曲面特征加工操作方法决策的混合算法.并利用归一化的零件加工信息实现了STEP-NC自由曲面特征的加工操作方法高效智能决策.最后,通过实例验证了该方法的有效性和可行性.

Alunite processing method selection using the AHP and TOPSIS approaches under fuzzy environment

Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical,operational and economic data is available to evaluate methods. In addition, selecting the right approach for alunite beneficiation, requires introducing a wide range of criteria and careful analysis of alternatives.In this research, after studying the existing processes, 13 methods were considered and evaluated by 14 technical, economic and environmental analyzing criteria. Due to multiplicity of processing methods and attributes, in this paper, Multi Attribute Decision Making methods were employed to examine the appropriateness of choices. The Delphi Analytical Hierarchy Process(DAHP) was used for weighting selection criteria and Fuzzy TOPSIS approach was used to determine the most profitable candidates. Among 13 studied methods, Spanish, Svoronos and Hazan methods were respectively recognized to be the best choices.