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Xiaoxie Gao,Zhaoxi Hong,Yixiong Feng,Tianyue Wang,Ye Li,Jianrong Tan 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.10
Reducing the disturbance of parameter fluctuations to the system is very important to the robustness of stamping product quality. In this paper, a 6-sigma robust optimization design method based on residual error and radial basis interpolation is proposed to weaken the negative influence of parameter fluctuations. Not only the key controllable parameters but also the key noise parameters are considered by grey relational analysis (GRA) to screen the parameters that have an important influence on the stamping quality. In order to reflect the relationship between key parameters and forming quality more precisely, the polynomial response surface model is improved based on residual error and radial basis function (RBF), and solved by the multi-population co-evolutionary immune algorithm (MPCEIA). Moreover, the solution of deterministic optimization is designed with 6-sigma robust optimization to improve the robustness of the system to the parameter fluctuations. Finally, the method is applied to the design of a complex automobile cover part, proving its effectiveness and reliability.
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A TEL decision method of process parameters for smart energy efficient manufacturing
Wei Zhe,Feng Yixiong,Hong Zhaoxi,Tan Jianrong 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.8
By constructing a Smart energy efficient manufacturing (SEEM) process grey model, craft parameter optimization is transformed into the process of multi-attribute decision making. Using fuzzy set theory to deal with uncertainty and inaccuracy fuzzy knowledge of SEEM assessment experts, a directly effect incidence matrix and a comprehensive effect matrix of SEEM process are put forward to be indexed by Trial and evaluation laboratory (TEL). The central degree and causal degree of each evaluation index are obtained, and then the relevance is analyzed between SEEM process evaluation indicators and weighted according to impact degrees. At the premise of maximizing of population benefits and minimizing of individual regret, the SEEM process parameters are determined by TEL-VIKOR theory. To obtain SEEM process parameters or compromise process parameters, a decision maker's subjective preference, and establishing control priorities of best SEEM process parameters are set. Finally, SEEM process parameters making decision example from discharge manufacturing process are applied to verify the proposed method.
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