Villanueva, EsterVicario, IbanSánchez, Jon MikelCrespo, Ignacio2020-04-03Villanueva , E , Vicario , I , Sánchez , J M & Crespo , I 2020 , ' Determination of Solidification of Rigidity Point Temperature Using a New Method ' , Applied Sciences , vol. 10 , no. 7 , 2472 , pp. 2472 . https://doi.org/10.3390/app100724721454-5101researchoutputwizard: 11556/899Publisher Copyright: © 2020 by the authors.This work aims to calculate the rigidity point temperature of aluminum alloys by three new methods and compare them with currently employed methods. The influence of major and minor alloying elements over the rigidity point temperature is also discussed. Until now it has been difficult to determine the exact temperature of the rigidity point, since small variations in the data obtained give variable results, making it difficult to automate the process with high accuracy. In this work we suggested three new mathematic methods based on the calculation of higher order derivatives of (dT/dt) with respect to time or temperature compared to those currently employed. A design of experiments based on the Taguchi method was employed to compare the effect of the major and minor alloying elements for the AlSi10Mg alloy, and to evaluate the accuracy of each developed method. Therefore, these systems will allow better automation of rigidity point temperature (RPT) determination, which is one of the most important solidification parameters for solidification simulators. The importance of the correct determination of this parameter lies in its relation to quality problems related to solidification, such as hot tearing. If the RPT presents very low-temperature values, the aluminum casting will be more sensitive to hot tearing, promoting the presence of cracks during the solidification process. This is why it is so important to correctly determine the temperature of the RPT. An adequate design of chemical composition by applying the methodology and the novel methods proposed in this work, and also the optimization of process parameters of the whole casting process with the help of the integrated computational modeling, will certainly help to decrease any internal defective by predicting one of the most important defects present in the aluminum industry.15874226enginfo:eu-repo/semantics/openAccessjournal article10.3390/app10072472Rigidity point temperatureCast metal alloysAluminumAdvanced thermal analysisMicrostructureRigidity point temperatureCast metal alloysAluminumAdvanced thermal analysisMicrostructureGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesFunding InfoThis research was partially funded by the Basque Government through the Etorgai Programme 2016, under the Filing Identification Number ZE-2016/00018 and the Elkartek Programme 2020, KK-2020-00047 for research, technological development and demonstration.This research was partially funded by the Basque Government through the Etorgai Programme 2016, under the Filing Identification Number ZE-2016/00018 and the Elkartek Programme 2020, KK-2020-00047 for research, technological development and demonstration.http://www.scopus.com/inward/record.url?scp=85083432477&partnerID=8YFLogxK