Case Study: Procter & Gamble optimizes face gear surfaces with Wolfram Mathematica

Optimizing Face Gear Surfaces in Mathematica

Wolfram helped Procter & Gamble with the challenge of optimizing gear surfaces for product design, a process that required solving complex physics equations and evaluating economic feasibility. A mechanical engineer at the company needed a powerful computational tool to handle this task efficiently before committing to expensive prototyping.

The solution was implemented using Mathematica, which provided powerful numerical computation to create geometry and simulate real-world performance. This allowed Procter & Gamble to transform mathematical theory into working prototypes with great efficiency. The use of Wolfram's technology prevented costly missteps by enabling thorough optimization during the design phase, saving significant time and resources.

Procter & Gamble

Steve Bush

Mechanical Engineer