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| 1 | 基于改进灰色TOPSIS模型的信号—响应系统稳健参数设计显示文摘为解决具有多个响应变量的信号—响应系统的稳健参数设计问题,提出一种以田口方法为基础,将灰色关联分析法和逼近理想解排序法相结合的实现方法。运用主成分分析法,采取只消除相关性但不降维的策略来处理响应变量之间的关联冲突问题;用欧氏距离和灰色关联度的加权组合替代欧氏距离,建立改进的灰色逼近理想解排序模型,提出灰色相对贴近度作为稳健性指标,使其能同时反映响应数据序列的位置差异和变化趋势;对灰色相对贴近度进行因子效应分析,从而得到稳健参数设计结果。通过两个算例验证了所提方法的适用性和有效性。 | 熊晓琼 李智豪 李昇平 | 2020 | 计算机集成制造系统2020，26，10： | 3 |
| 2 | 磁性电解铣磨主参数灰色关联度优化及验证显示文摘通过正交测试方法探讨了影响Cr12MoV高强度结构钢进行磁性电解铣磨处理期间不同工艺参数下引起的粗糙度以及材料去除量差异性。综合运用主成分分析以及灰色关联的算法构建得到粗糙度与材料去除量之间对应的灰色关联度,从而按照单一目标优化的方式完成多目标的优化。随着灰色关联度的不断提高,得到最优工艺参数组合结果:磨粒目数为250目、磁极转速为550r/min、两相质量比为3:1。灰色关联度预测结果跟实验值相近,两者呈现相近的变化趋势。拟合度为97.62%,能够满足可靠性要求。经过优化处理的粗糙度相对优化前减小了13.04%,材料去除量上升11.34%。采用这里多目标优化能够保证结果的准确性。该研究对提高磁性电解铣磨加工精度具有很好的实际指导价值,易于推广应用。 | 徐作栋 陈光军 董月清 凌玉华 | 2023 | 机械设计与制造2023，，5： | 0 |
| 3 | Influence and Optimization of Surface Roughness on Surface Integrity during Turning Using Grey Relational Analysis显示文摘Current machining studies have reported effects of prevalent and common factors,while ultra⁃high finish requires holistic approach to identify all factors and investigate their effects on machining of hard to machine materials.In this work,a less investigated yet important factor,roughness of the uncut surface,was studied,and its effects on the individual response,i.e.,surface finish of the machined part,were found to be significant.AISI 316,which is mainly applied in strategic areas,was selected and three effective turning factors,cutting speed(A),feed rate(B),and roughness of the uncut surface(C)on three output responses including surface roughness of the machined surface(Ra),microhardness(HV),and material removal rate(MRR),were reported.Further,single response optimization of the individual output response and multi⁃response optimization of all the three responses were carried out.Taguchi L9 orthogonal array based signal⁃to⁃noise(S/N)ratio method was used for individual response optimization,and grey relational analysis(GRA)was employed for multi⁃response optimization.Effects of the process factors on the output responses were evaluated through inclusive statistical analyses.The individual response optimization revealed that there was a considerable effect of roughness of the uncut surface on the machining performance.Results of the GRA illustrated that the speed during the cutting process and the feed rate had substantial trace on the surface integrity(indicated by Ra and HV)and production rate(indicated by MRR),while roughness of the uncut surface did not have a significant effect. | Suha K Shihab Ethar Mohamed Mubarak Rawaa Hamid Al-Kalali | 2021 | Journal of Harbin Institute of Technology(New Series)2021，28，2： | 0 |
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