Optimization of process parameters for commercially pure titanium in the laser engineered net shaping process
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One of the main factors limiting progress and mainstream acceptance of metal additive manufacturing (MAM), including the laser engineered net shaping (LENS) process, is lack of consistency between different processes, different feedstock materials, and even different individual machines. To achieve the consistency needed to advance the technology, the processing parameters must be well understood and optimized for a wide range of applications and materials. One material with great potential, but has very limited research so far, is commercially pure titanium (CP Ti). CP Ti can be used in many applications ranging from architecture to its use in desalination plants, but one of the most promising applications for CP Ti is medical implants. The ability to use CP Ti in MAM would be a great stride in advancing the quality of medical implants, but for MAM to become a mainstream method of producing medical implants, the consistency of the process needs to be ensured. The first step of gaining consistency in MAM with CP Ti is to acquire a greater understanding of the process parameters involved and to optimize the processing parameters for the application at hand. This Thesis aims to find process parameters for CP Ti that are both efficient and cost savings along with providing optimal mechanical properties. Once the trends of varying process parameters can be seen, an optimal set of parameters can be seen and utilized to get the full potential from depositing CP Ti in the LENS process.