Search

MIT Collaborates with Adidas to Create 3D-Printed Midsoles to Enhance Athletes’ Performance

3D-printed midsoles

Welcome to the future of running shoe technology. MIT experts are working to make running shoes more efficient and comfortable for athletes.

Traditional sneakers can negatively affect the body, especially after prolonged use. The researchers address the challenges athletes face in finding the perfect pair of sneakers, which can vary significantly based on individual characteristics and running styles.

MIT engineers can now use this new model to predict specific shoe properties and how these properties affect a runner’s performance.

These engineers have realized that a good sneaker is not just about its sleekness or how well it fits. There is also an emphasis on various factors like height, weight, body dimensions, and shoe attributes such as stiffness and springiness in the midsole.

By considering these factors, the model can simulate how a runner would perform while wearing different types of shoes. This allows researchers to identify footwear that optimizes athletic performance and reduces the energy expended by athletes.

The current model is highly proficient in comparing various types of shoes. Still, it needs further improvement in its ability to differentiate between similar designs commonly found in commercial running shoes.

As a result, the researchers anticipate that its primary application will be to aid shoe designers in developing innovative and high-performing footwear.

In an era where futuristic fashion has its own subculture of fashion aesthetic, this latest development by the Addidas and MIT collaboration goes beyond futurist fashion.” This is not just about the comfort or style of the shoes; it is about pushing the limits of athlete performance.

The current trend of using 3D-printed soles is paving the way for using diverse materials that possess unique properties,” says Sarah Fay, a postdoctoral researcher at MIT’s Sports Lab and the Institute for Data Systems.

The researchers intend to refine their model further, enabling consumers to choose shoes customized to their running styles.

The foundation of this model draws inspiration from pioneering biomechanical research conducted by Thomas McMahon at Havard University in the 1970s. McMahon’s “spring and damper” model paved the way for understanding how different surfaces affect running performance.

Expanding upon McMahon’s work, the MIT team developed a similar simplified model to represent a runner’s dynamics, incorporating factors such as body dimensions and shoe properties. They identified a crucial aspect termed the “biological cost function,” which comprises a runner’s subconscious inclination to minimize specific physiological measures during running.

The researchers conducted a detailed simulation and analysis to understand how most runners optimize their gait to minimize two fundamental costs – the impact on their feet and the energy expended by their legs.

They utilized this knowledge to create a model that can predict the efficiency of different shoe styles for various running scenarios. This model provides designers with a quantitative tool to enhance footwear design tailored to specific performance goals.

MIT’s research presents a scientific approach to designing shoes that cater to different running scenarios. With 3D printing making its way into the footwear industry, this study opens up the possibility of a future where personalized, high-performance shoes are the norm, transforming the runner’s experience.



Join Our Tech Community!

Subscribe & get an instant FREE gift! + receive news, updates, and special gifts straight to your inbox.

You Might Also Like

Where Should We Send The Gift?

Provide your name and email, and we’ll send the guide directly to your inbox!

How to Create the Perfect ChatGPT Prompt for Precise Answers!

Crafting an effective prompt is a learnable skill. Your choice of words in the prompt directly influences ChatGPT’s responses. This guide will show you the key elements for getting the right response.