Data-Driven Redesign of a 3D-Printed Burner

At Amogy, I worked on optimizing the design of a metal 3D-printed burner used in a fuel cell reactor. The initial geometry wasn’t delivering the efficiency we needed, so I set out to refine it using a combination of SolidWorks modeling and data analysis. I pulled and organized performance data using SQL (including sensor logs on pressure, flow, and temperature) and used those insights to guide redesigns of the burner’s internal geometry.

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The project meant balancing multiple trade-offs: lowering pressure drop without disrupting flow, improving thermal distribution while keeping the part manufacturable, and ensuring any theoretical gains showed up in real test results. By collaborating closely with test engineers and manufacturing partners, I validated each iteration against both simulation and empirical data.

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In the end, the optimized design improved efficiency and stability of the reactor system and showed me how pairing data analysis (SQL) with engineering design can accelerate problem-solving in complex, cross-disciplinary projects.