Timothy E. Geiman, a dedicated inventor based in South Lyon, MI, has made significant contributions to the field of gear manufacturing. With a remarkable portfolio of 11 patents, his work focuses on enhancing the functionality and performance of gears through innovative methods and designs, thereby contributing to various industries.

Latest Patents

Among Timothy's most notable inventions is a patent for a "Method for manufacturing combination or compound gears." This innovative technique employs powder metal technology, allowing the creation of complex gear geometries. It enables the production of combination and compound gears with straight or helical gear faces, even when intricate intersections between smaller and larger gears are required. Another significant patent is related to "NVH modification for differential assembly." This invention introduces NVH-modifying elements designed to reduce noise, vibration, and harshness from differential assemblies, improving overall vehicle performance and comfort.

Career Highlights

Timothy Geiman has had an impressive career in the field of powder metallurgy. He has worked for prominent companies, including GKN Sinter Metals GmbH and Keystone Powdered Metal Company. His roles have allowed him to apply his inventive skills effectively and contribute to advancements in manufacturing processes.

Collaborations

Throughout his career, Timothy has collaborated with talented individuals such as Alfred J. Chiesa and Henry James Knott. These partnerships have fostered a creative environment that has been vital for the development of his innovative patents and methodologies.

Conclusion

Timothy E. Geiman exemplifies the spirit of innovation in gear manufacturing. His contributions through various patents not only enhance production techniques but also improve the quality and efficiency of machinery. As he continues to push the boundaries of what is possible in the field, his work stands as an inspiration for future inventors and researchers in the industry.

This text is generated by artificial intelligence and may not be accurate.