Statistics that deal with planning, conducting, analysing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental testings. It allows for multiple input factors to be manipulated, determining their effect on a desired output (response) of hybrid composites wear optimized parameters. By manipulating multiple inputs at the same time, DOE can identify important interactions that may be missed when experimenting with one factor at a time. This investigation also focused on numerical study of hybrid composite specimens, which was experimentally done by preparing according to ASTM standards. The mechanical properties of a hybrid composite can be altered by varying volume ratio and stacking sequence of different volume reinforcements. The numerical study was conducted by developing specimen models in Catia V5 and later importing to ANSYS Workbench 15.0. The boundary conditions were applied and analysis results compared with that of experimental results to suggest its further applications.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistics that deal with planning, conducting, analysing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental testings. It allows for multiple input factors to be manipulated, determining their effect on a desired output (response) of hybrid composites wear optimized parameters. By manipulating multiple inputs at the same time, DOE can identify important interactions that may be missed when experimenting with one factor at a time. This investigation also focused on numerical study of hybrid composite specimens, which was experimentally done by preparing according to ASTM standards. The mechanical properties of a hybrid composite can be altered by varying volume ratio and stacking sequence of different volume reinforcements. The numerical study was conducted by developing specimen models in Catia V5 and later importing to ANSYS Workbench 15.0. The boundary conditions were applied and analysis results compared with that of experimental results to suggest its further applications. 76 pp. Englisch. Seller Inventory # 9786204739540
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Statistics that deal with planning, conducting, analysing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. DOE is a powerful data collection and analysis tool that can be used in a variety of experimental testings. It allows for multiple input factors to be manipulated, determining their effect on a desired output (response) of hybrid composites wear optimized parameters. By manipulating multiple inputs at the same time, DOE can identify important interactions that may be missed when experimenting with one factor at a time. This investigation also focused on numerical study of hybrid composite specimens, which was experimentally done by preparing according to ASTM standards. The mechanical properties of a hybrid composite can be altered by varying volume ratio and stacking sequence of different volume reinforcements. The numerical study was conducted by developing specimen models in Catia V5 and later importing to ANSYS Workbench 15.0. The boundary conditions were applied and analysis results compared with that of experimental results to suggest its further applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786204739540
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Taschenbuch. Condition: Neu. Statistical and Numerical Analysis of Hybrid Composites | Aluminium Hybrid Metal Matrix Composites | G. Elatharasan (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204739540 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 121283662