Iterative 3D Printing Process Optimization for Morphace Healthcare Wearable Tech

Ouvert
Morphace Skincare Wearables
Toronto, Ontario, Canada
Jia Xi Chen
Employeur.euse
(28)
6
Projet
Parcours académique
30 heures de travail au total
Apprenant.e.s
N'importe où
Niveau Intermédiaire

Portée du projet

Catégories
Génie mécanique Conception de produits matériels
Compétences
manufacturing processes manufacturing process management
Détails

The primary objective of this project is to iterate and optimize the 3D printing process of Morphace’s electronic mask device to enhance both its usability and manufacturing scalability. Specifically, the project aims to:

  • Optimize 3D Printing Parameters: Identify and fine-tune printing parameters for flexible materials, using either 60A TPU, or propose other additive manufacturing alternatives like SLS, to ensure design reliability and material performance.
  • Streamline Production for Scale: Refine the design and adjust printing settings to enable the efficient production and assembly of a batch of approximately 100 devices, ensuring that the manufacturing process is both cost-effective and scalable.
Livrables

Task 1: Optimize processing parameters (estimated ~15 hours)

  • Conduct a series of tests to determine the optimal 3D printing parameters for 60A TPU and evaluate potential additive manufacturing alternatives.
  • Assess material behaviour under different conditions to ensure reliable performance that can be repeated throughout prints.
  • Outcome: A tabulated report outlining the relationship between printing parameters and performance metrics.


Task 2: Iterate design for usability and scalability (estimated ~13 hours)

  • Analyze the current CAD model to identify components that can be re-engineered for easier production and assembly.
  • Produce a pilot batch using the optimized printing parameters and revised design.
  • Conduct usability tests of being skin conformal, then integrate the results into a 2nd iteration of the design with improved fit and device functionality.
  • Outcome: Revised CAD design files that integrate enhanced features for both manufacturing scalability and end-user comfort.


Task 3: Process mapping (estimated ~2 hours)

  • Document the processes of testing to compile experimental procedures, design iterations, and testing results
  • Compile a high-level analysis of cost-benefit tradeoffs during the production process, from getting raw materials to delivering the product, comparing against current state-of-the-art processes employed by competitors (personal care electronics, aesthetic medical devices).
  • Outcome: A public presentation articulating the optimization process, validated improvements, and actionable insights for production scaling that the students can showcase in their resumes as a case study in the sectors of health & wellness and personalized wearable technology.


Mentorat
Expertise et connaissances du domaine

Fournir des connaissances spécialisées et approfondies et l'industrie générale des idées pour une compréhension globale.

Compétences Connaissances et expertise

Partager des connaissances sur des compétences techniques spécifiques, des techniques, méthodologies requises pour le projet.

Outils et/ou ressources

Donner accès aux outils, logiciels et ressources nécessaires pour la réalisation du projet.

Réunions régulières

Enregistrements programmés pour discuter des progrès, relever les défis et fournir des commentaires.

Causes prises en charge

Les défis mondiaux auxquels ce projet s'attaque, en accord avec les objectifs de développement durable (ODD) des Nations unies. En savoir plus sur les 17 ODD ici.

Good health and well-being

À propos de l'entreprise

Entreprise
Toronto, Ontario, Canada
2 - 10 employé.es
Consumer goods & services, Cosmetics & beauty, Hospital, health, wellness & medical, Technology

Morphace brings the dermatologist's office home through a mask device that automates skin treatments and skin health tracking. Like Invisalign reinventing dental braces, Morphace offers a unique convenience through the hyper-personalization of our wearable hardware and data-driven skin health insights.

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