Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy
The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Foundry Journal Agency
2017-11-01
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| Series: | China Foundry |
| Subjects: | |
| Online Access: | http://ff.foundryworld.com/uploadfile/2018010335227073.pdf |
| _version_ | 1811310860611616768 |
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| author | Jia-wei Tian Kun Bu Jin-hui Song |
| author_facet | Jia-wei Tian Kun Bu Jin-hui Song |
| author_sort | Jia-wei Tian |
| collection | DOAJ |
| description | The large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize the warping deformation of the platform, based on simulation with ProCAST, the single factor method, orthogonal test, neural network and genetic algorithm were subsequently used to analyze the influence of pouring temperature, shell mold preheating temperature, furnace temperature and withdrawal velocity on dimensional accuracy of the platform of superalloy-DD6 turbine blade. The accuracy of investment casting simulation was verified by measurement of platform at blade casting. The simulation results with the optimal process parameters illustrate that the equivalent warping deformation was dramatically reduced by 21.8% from 0.232295 mm to 0.181698 mm. |
| first_indexed | 2024-04-13T10:06:28Z |
| format | Article |
| id | doaj.art-9f1c2d7602b74f14812f691db82d12c8 |
| institution | Directory Open Access Journal |
| issn | 1672-6421 1672-6421 |
| language | English |
| last_indexed | 2024-04-13T10:06:28Z |
| publishDate | 2017-11-01 |
| publisher | Foundry Journal Agency |
| record_format | Article |
| series | China Foundry |
| spelling | doaj.art-9f1c2d7602b74f14812f691db82d12c82022-12-22T02:51:04ZengFoundry Journal AgencyChina Foundry1672-64211672-64212017-11-0114646947710.1007/s41230-017-6063-9Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloyJia-wei Tian0Kun Bu1Jin-hui Song2Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an 710072, Shannxi, ChinaKey Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an 710072, Shannxi, ChinaKey Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an 710072, Shannxi, ChinaThe large warping deformation at platform of turbine blade directly affects the forming precision. In the present research, equivalent warping deformation was firstly presented to describe the extent of deformation at platform. To optimize the process parameters during investment casting to minimize the warping deformation of the platform, based on simulation with ProCAST, the single factor method, orthogonal test, neural network and genetic algorithm were subsequently used to analyze the influence of pouring temperature, shell mold preheating temperature, furnace temperature and withdrawal velocity on dimensional accuracy of the platform of superalloy-DD6 turbine blade. The accuracy of investment casting simulation was verified by measurement of platform at blade casting. The simulation results with the optimal process parameters illustrate that the equivalent warping deformation was dramatically reduced by 21.8% from 0.232295 mm to 0.181698 mm.http://ff.foundryworld.com/uploadfile/2018010335227073.pdfProCASToptimization of process parameterswarping deformation of platformorthogonal testgenetic algorithmBP-neural network |
| spellingShingle | Jia-wei Tian Kun Bu Jin-hui Song Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy China Foundry ProCAST optimization of process parameters warping deformation of platform orthogonal test genetic algorithm BP-neural network |
| title | Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy |
| title_full | Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy |
| title_fullStr | Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy |
| title_full_unstemmed | Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy |
| title_short | Optimization of investment casting process parameters to reduce warpage of turbine blade platform in DD6 alloy |
| title_sort | optimization of investment casting process parameters to reduce warpage of turbine blade platform in dd6 alloy |
| topic | ProCAST optimization of process parameters warping deformation of platform orthogonal test genetic algorithm BP-neural network |
| url | http://ff.foundryworld.com/uploadfile/2018010335227073.pdf |
| work_keys_str_mv | AT jiaweitian optimizationofinvestmentcastingprocessparameterstoreducewarpageofturbinebladeplatformindd6alloy AT kunbu optimizationofinvestmentcastingprocessparameterstoreducewarpageofturbinebladeplatformindd6alloy AT jinhuisong optimizationofinvestmentcastingprocessparameterstoreducewarpageofturbinebladeplatformindd6alloy |