SoftInWay has been awarded a NASA SBIR contract to leverage artificial intelligence to improve turbomachinery designs for use in high power-density engines. Thanks to the team’s efforts, SoftInWay was awarded the Phase II contract to expand upon its work developing an axial compressor map generation program that leverages an autonomous self-training AI. This project will redefine turbomachinery research and development, enabling companies to develop reliable and efficient technology faster.
After being awarded the Phase I contract back in September, the SoftInWay engineering team has partnered with engineers from Raytheon Technologies, a leading defense contractor in the United States, and researchers from Purdue University, a leading institution in turbomachinery research and education. SoftInWay will work with these two partners to further refine the developed AI-based program by making it applicable to a wide variety of axial compressors, a key component in making powerful yet efficient gas turbine engines for airbreathing propulsion, without the need to retrain the AI.