Posted in | News | New Product

Normal Uses Stratasys Technology for Mass Production of 3D Printed Earphones

Stratasys, a worldwide supplier of additive manufacturing solutions and 3D printers, has announced that the custom earphone manufacturer Normal has adopted their 3D printers for the mass customisation of earphones.

Image Credit: Stratasys

Normal becomes one of the first custom earphone makers to use additive manufacturing for large scale customisation. It is capable of producing 3D printed and assembled customized earphones in less than 48 hours.

Customers can easily place an order with Normal using a free mobile app or at Normal’s flagship store in New York. Normal earphones are designed based on the unique preferences of each individual.

At the moment, the company operates 10 Stratasys Fortus 250mc 3D Printers and also manufactures custom components for the earphones based on the FDM 3D printing technology. Normal is keen on exploring the auditory, tactile and visual aspects of how their earphones are engineered and put together.

An alternative process for producing custom earphones would require involve silicon moulds, a health care professional and a waiting time of several weeks, in order to produce a product which would be very expensive to make.  

We’re excited to be able to create accessible, tailor-made earphones that sound incredible. We’re using Stratasys’ 3D printing technology to build a product that is completely personalized.

Normal’s Founder and CEO Nikki Kaufman

Using 3D printing techniques, Normal are able to provide first-class, personalized earphones at an economical price. The 3D printed components of the earphones are crafted using ABSplus thermoplastic and are available in seven different colours.

“The implications of 3D printing for a company like Normal are huge. It’s a game-changer for customized goods: the ushering in of a new era in manufacturing,” said Stratasys’ Vice President of Marketing, Bruce Bradshaw. “Today, companies can offer consumers customized products, in a time-efficient manner, made possible with 3D printing.”

Alexander Chilton

Written by

Alexander Chilton

Alexander has a BSc in Physics from the University of Sheffield. After graduating, he spent two years working in Sheffield for a large UK-based law firm, before relocating back to the North West and joining the editorial team at AZoNetwork. Alexander is particularly interested in the history and philosophy of science, as well as science communication. Outside of work, Alexander can often be found at gigs, record shopping or watching Crewe Alexandra trying to avoid relegation to League Two.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Chilton, Alexander. (2019, March 18). Normal Uses Stratasys Technology for Mass Production of 3D Printed Earphones. AZoM. Retrieved on April 29, 2024 from https://www.azom.com/news.aspx?newsID=43195.

  • MLA

    Chilton, Alexander. "Normal Uses Stratasys Technology for Mass Production of 3D Printed Earphones". AZoM. 29 April 2024. <https://www.azom.com/news.aspx?newsID=43195>.

  • Chicago

    Chilton, Alexander. "Normal Uses Stratasys Technology for Mass Production of 3D Printed Earphones". AZoM. https://www.azom.com/news.aspx?newsID=43195. (accessed April 29, 2024).

  • Harvard

    Chilton, Alexander. 2019. Normal Uses Stratasys Technology for Mass Production of 3D Printed Earphones. AZoM, viewed 29 April 2024, https://www.azom.com/news.aspx?newsID=43195.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.