Volume 9 Number 1 (Jan. 2014)
Home > Archive > 2014 > Volume 9 Number 1 (Jan. 2014) >
JSW 2014 Vol.9(1): 63-69 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.63-69

Hybrid Intelligent Recommending System for Process Parameters in Differential Pressure Vacuum Casting

Zhuangya Zhang1, Haiguang Zhang2, Yuanyuan Liu2, Qingxi Hu2

1Rapid Manufacturing Engineering Center, Shanghai University, Shanghai, China
2Rapid Manufacturing Engineering Center, Shanghai University, Shanghai, China


Abstract—The determination of process parameters in Differential Pressure Vacuum Casting (DPVC) process depends on the technologist’s experience, and thus the optimized ones are usually determined through repeated molding trial and repairing process. However, this can result in problems of long production period and high cost. So, combining case based reasoning (CBR), neural network 、agent model and fuzzy inference, a hybrid intelligent model is proposed herein to solve this problem. First, the CBR strategy is adopted for setting the initial process parameters by simulating the technologist’s reaction where technologists determines the optimized parameters by referencing highly similar case from past experience. If the CBR fails, the neural network reasoning (NNR) strategy is applied to determine the initial process parameters by imitating technologist’s “experience reasoning” process; if no similar case exists, the agent model reasoning (AMR ) strategy is applied to determine the initial parameters. Finally, a fuzzy inference (FI) based on expert knowledge is developed for revising defects and optimizing process parameters during the molding trial process until the part quality can meet the requirements. Based on the intelligent model, the corresponding software system is developed, and the experiment results show that the system is effective and can be applied to practical production.

Index Terms—Differential pressure vacuum casting, Case based reasoning, Agent model, Fuzzy inference

[PDF]

Cite: Zhuangya Zhang, Haiguang Zhang, Yuanyuan Liu, Qingxi Hu, "Hybrid Intelligent Recommending System for Process Parameters in Differential Pressure Vacuum Casting," Journal of Software vol. 9, no. 1, pp. 63-69, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]

  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Nov 18, 2021 News!

    Papers published in JSW Vol 16, No 1- Vol 16, No 6 have been indexed by DBLP   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Nov 02, 2023 News!

    Vol 18, No 4 has been published with online version   [Click]