Content area
Optimizing superplastic forming (SPF) process parameters is vital for improving production efficiency and addressing the growing complexity of product requirements in high-end manufacturing fields. Current optimization of SPF process parameters focuses on meeting product requirements, often overlooking constraints related to quality indicators, process, and equipment limitations. This paper proposes an optimization approach that integrates SPF manufacturing process information using model-based systems engineering and simulation validation techniques to establish a continuous mapping between product requirements, process parameters, and equipment control parameters. First, SPF is modeled using the systems modeling language to describe the relationships between processes and equipment. Then, the process parameters are extracted via object flow analysis and categorized according to shape and performance control. The key process parameters and impact indicators for meeting customized product requirements are identified using the analytic hierarchy process. Finally, orthogonal experimental design and process simulation are employed to optimize the parameters, with the results mapped onto the physical model to guide the equipment control parameter design. A case study demonstrates its feasibility and effectiveness in meeting customized products.
Details
Design of experiments;
Analytic hierarchy process;
Model-based systems;
Optimization techniques;
Indicators;
Process planning;
Manufacturing;
Feasibility studies;
Customization;
Systems engineering;
Simulation;
Parameter identification;
Heat treating;
Product quality;
Titanium alloys;
Genetic algorithms;
Superplasticity;
Optimization;
Linear programming;
Information processing;
Superplastic forming;
Product development;
Process parameters
; Yang Wanran 2 ; Guo Haiyu 3 ; Wang Shaozong 2 ; Wang, Boya 2 ; Wu, Le 2 ; Xiong Chengyue 2
; Zou Ailing 2
; Wang, Bo 3 ; Zeng Fanrong 3 ; Zhou Gongxi 3 ; Li Shijiang 3 ; Hou, Liang 3
1 State Key Laboratory of Advanced Forming Technology & Equipment, Beijing National Innovation Institute of Lightweight Ltd., Beijing 101407, China; [email protected] (X.Z.);, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China
2 State Key Laboratory of Advanced Forming Technology & Equipment, Beijing National Innovation Institute of Lightweight Ltd., Beijing 101407, China; [email protected] (X.Z.);
3 Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China