Matching Items (4)
Description
Digital Fabrication has played a pivotal role in providing reality to industrial designers' ideas since its first commercial use in late 80's. Making the final prototype of a design project has been the initial assumed use for these technologies in the design process. However, new technology advances in this area offer further opportunities for designers. In this research these opportunities have been carefully explored. This research will be conceptualized through discussing the findings of a case study and theories in the areas of Industrial Design methodology, digital fabrication, and design pedagogy. Considering the span of digital fabrication capabilities, this research intends to look into the design-fabrication relation from a methodology perspective and attempts to answer the question of how the digital fabrication methods can be integrated into the Industrial Design process to increase the tangibility of the design process in very first steps. It will be argued that the above is achievable in certain design topics - i.e. those with known components but unknown architecture. This will be studied through the development of series of hypothetical design processes emphasizing the role of digital fabrication as an ideation tool rather than a presentation tool. In this case study, two differing processes have been developed and given to Industrial Design students to design specific power tools. One of them is developed based on the precedence of digital fabrication. Then the outcome of the two processes is compared and evaluated. This research will introduce the advantages of using the digital fabrication techniques as a powerful ideation tool, which overcomes the imagination problems in many of complicated design topics. More importantly, this study suggests the criteria of selecting the proposed design methodology. It is hoped that these findings along with the advances in the area of additive and subtractive fabrication will assist industrial designers to create unique methodologies to deal with complicated needs both in practice and design education.
ContributorsValamanesh, Roozbeh (Author) / Shin, Dosun (Thesis advisor) / Velasquez, Joseph (Committee member) / Colins, Daniel (Committee member) / Arizona State University (Publisher)
Created2012
Description
Material extrusion based rapid prototyping systems have been used to produceprototypes for several years. They have been quite important in the additive manufacturing field, and have gained popularity in research, development and manufacturing in a wide field of applications. There has been a lot of interest in using these technologies to produce end use parts, and Fused Deposition Modeling (FDM) has gained traction in leading the transition of rapid prototyping technologies to rapid manufacturing. But parts built with the FDM process exhibit property anisotropy. Many studies have been conducted into process optimization, material properties and even post processing of parts, but were unable to solve the strength anisotropy issue. To address this, an optical heating system has been proposed to achieve localized heating of the pre- deposition surface prior to material deposition over the heated region. This occurs in situ within the build process, and aims to increase the interface temperature to above glass transition (Tg), to trigger an increase in polymer chain diffusion, and in extension, increase the strength of the part. An increase in flexural strength by 95% at the layer interface has been observed when the optical heating method was implemented, thereby improving property isotropy of the FDM part. This approach can be designed to perform real time control of inter-filament and interlayer temperatures across the build volume of a part, and can be tuned to achieve required mechanical properties.
ContributorsKurapatti Ravi, Abinesh (Author) / Hao Hsu, Keng (Thesis advisor) / Hildreth, Owen (Committee member) / Wang, Liping (Committee member) / Arizona State University (Publisher)
Created2016
Description
A method has been developed that employs both procedural and optimization algorithms to adaptively slice CAD models for large-scale additive manufacturing (AM) applications. AM, the process of joining material layer by layer to create parts based on 3D model data, has been shown to be an effective method for quickly producing parts of a high geometric complexity in small quantities. 3D printing, a popular and successful implementation of this method, is well-suited to creating small-scale parts that require a fine layer resolution. However, it starts to become impractical for large-scale objects due to build volume and print speed limitations. The proposed layered manufacturing technique builds up models from layers of much thicker sheets of material that can be cut on three-axis CNC machines and assembled manually. Adaptive slicing techniques were utilized to vary layer thickness based on surface complexity to minimize both the cost and error of the layered model. This was realized as a multi-objective optimization problem where the number of layers used represented the cost and the geometric difference between the sliced model and the CAD model defined the error. This problem was approached with two different methods, one of which was a procedural process of placing layers from a set of discrete thicknesses based on the Boolean Exclusive OR (XOR) area difference between adjacent layers. The other method implemented an optimization solver to calculate the precise thickness of each layer to minimize the overall volumetric XOR difference between the sliced and original models. Both methods produced results that help validate the efficiency and practicality of the proposed layered manufacturing technique over existing AM technologies for large-scale applications.
ContributorsStobinske, Paul Anthony (Author) / Ren, Yi (Thesis director) / Bucholz, Leonard (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A much anticipated outcome of the rapidly emerging field of personalized medicine is a significant increase in the standard of care afforded to patients. However, before the full potential of personalized medicine can be realized, key enabling technologies must be further developed. The purpose of this study was to use enabling technologies such as medical imaging, image reconstruction, and rapid prototyping to create a model of an implant for use in vocal fold repair surgery. Vocal fold repair surgery is performed for patients with great difficulty in phonation, breathing, and swallowing as a result of vocal fold damage caused by age, disease, cancer, scarring, or paralysis. This damage greatly hinders patients' social, personal, and professional lives due to difficulty in efficient communication. In this project, the image reconstruction of a subject's vocal fold in 3D is demonstrated utilizing NIH-funded advanced image processing software known as ITK-SNAP, which uniquely allows both semi-automatic and manual image segmentation. The hyoid bone, thyroid cartilage, arytenoid cartilage, and empty airway of the larynx were isolated using active contouring for use as anatomical benchmarks. Then, the vocal fold mold, including the vocal fold, a superior extension along the thyroid cartilage, and an inferior extension along the airway, was modeled with manual segmentation. The configured, isolated, and edited vocal fold model was converted into an STL file. This STL file can be imported to a 3D printer to fabricate a mold for reconstruction of a patient specific vocal fold biocompatible implant. This feasibility study serves as a basis to allow ENT surgeons at the Mayo Clinic to dramatically improve reparative surgery outcomes for patients. This work embodies the strategic importance of multidisciplinary teams working at the interface of technology and medicine to optimize patient outcomes.
ContributorsPatel, Anjana Ketan (Author) / Pizziconi, Vincent (Thesis director) / Lott, David (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05