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- All Subjects: 3D Printing
- Creators: Engineering Programs
- Status: Published
Minority mental health patients face many health inequities and inequalities that may stem from implicit bias and a lack of cultural awareness from their healthcare providers. I analyzed the current literature evaluating implicit bias among healthcare providers and culturally specific life traumas that Latinos and African Americans face that can impact their mental health. Additionally, I researched a current mental health assessments tool, the Child and Adolescent Trauma Survey (CATS), and evaluated it for the use on Latino and African American patients. Face-to-face interviews with two healthcare providers were also used to analyze the CATS for its’ applicability to Latino and African American patients. Results showed that these assessments were not sufficient in capturing culturally specific life traumas of minority patients. Based on the literature review and analysis of the interviews with healthcare providers, a novel assessment tool, the Culturally Traumatic Events Questionnaire (CTEQ), was created to address the gaps that currently make up other mental health assessment tools used on minority patients.
With FDM printing becoming ubiquitous within the commercial and private sectors, there are many who would want to print a part without supports for a variety of reasons. Usually, they want to prints a part with difficult to reach places that would make it impossible to remove any support material without damaging the part. I will be going over options to consider when designing parts to ensure a given model will be able to be printed without support material.
lack of time pressure and urgency to the given situations. If these expected results hold, there may be implications for both undergraduate engineering curriculum and real-world engineering endeavors.
Multi-material manufacturing has applications in robotics because, with it, mechanisms can be built into a design without adding additional moving parts. This allows for robot designs that are both robust and low cost, making it a particularly attractive method for education or research. 3D printing is of particular interest in this area because it is low cost, readily available, and capable of easily producing complicated part geometries. Some machines are also capable of depositing multiple materials during a single process. However, up to this point, planning the steps to create a part using multi-material manufacturing has been done manually, requiring specialized knowledge of the tools used. The difficulty of this planning procedure can prevent many students and researchers from using multi-material manufacturing.
This project studied methods of automating the planning of multi-material manufacturing processes through the development of a computational framework for processing 3D models and automatically generating viable manufacturing sequences. This framework includes solid operations and algorithms which assist the designer in computing manufacturing steps for multi-material models. This research is informing the development of a software planning tool which will simplify the planning needed by multi-material fabrication, making it more accessible for use in education or research.
In our paper, Voxel-Based Cad Framework for Planning Functionally Graded and Multi-Step Rapid Fabrication Processes, we present a new framework for representing and computing functionally-graded materials for use in rapid prototyping applications. We introduce the material description itself, low-level operations which can be used to combine one or more geometries together, and algorithms which assist the designer in computing manufacturing-compatible sequences. We then apply these techniques to several example scenarios. First, we demonstrate the use of a Gaussian blur to add graded material transitions to a model which can then be produced using a multi-material 3D printing process. Our second example highlights our solution to the problem of inserting a discrete, off-the-shelf part into a 3D printed model during the printing sequence. Finally, we implement this second example and manufacture two example components.