2026-04-16T05:20:05Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/63482025-05-27T07:45:56Zcom_20.500.11984_473col_20.500.11984_478

00925njm 22002777a 4500 dc Sajjad, Muhammad author Trinidad Naranjo, Javier author Plata, Gorka author Lozares, Jokin author Mendiguren, Joseba author 2025 Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at maturity level ready for its industrial implementation. However, to implement the process for complex cases the development of an appropriate digital twin (DT) is necessary. While developing a material model, a strong experimental and DT is necessary to be able to evaluate the accuracy of the model. Aimed at having a reliable DT under control, for future material model validations, the main objective of this work is to develop a sensitivity analysis of three NSF industrial cases such as Hook, R spindle and H spindle to develop an adequate DT calibration procedure. Firstly, the benchmark experimentation process parameter noise and experimentation boundary conditions (BCs) parameter uncertainty are identified. Secondly, the three industrial benchmark DTs are constructed, and a Taguchi design of experiments (DoEs) methodology is put in place to develop the sensitivity analysis. Finally, after simulations the results are critically evaluated and the sensitivity of each benchmark to the different inputs (process parameter noise and BC parameter uncertainty) is studied. Lastly, the optimum DT calibration procedure is developed. Overall, the results stated the minimum impact of the material model in terms of dies filling. Nevertheless, even if the material model is the highest impacting factor for the forging forces other inputs, such as heat transfer and friction must be under control first. 2195-3597 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174502 https://hdl.handle.net/20.500.11984/6348 ODS 9 Industria, innovación e infraestructura ODS 12 Producción y consumo responsables Near solidus Digital twin (DT) Taguchi design Sensitivity analysis Heat transfer Sensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approach