Creating Models for 3D printing Using Kinect based Scanners

Kapula, Prabhakara Rao; Reddy, B Varshith; Sushannth, B.; Srikar, B. Sai; Deekonda, Anudeep; Jyothsna, Ch.

doi:10.1109/icces54183.2022.9835787

Cited by 2 publications

(2 citation statements)

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Section: Introductionmentioning

confidence: 99%

“…A low-cost scanning procedure is being used that is based on the Kinect sensor, which is an inexpensive accessory device initially released by Microsoft in November 2010 that can measure joint positions without any markers (Kapula et al, 2022). The Kinect is a peripheral device for Xbox 360 consoles (Albuquerque, NM) that allows video gamers to control games with their bodies rather than using conventional controllers.…”

Section: Introductionmentioning

confidence: 99%

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Design and analysis of solid ankle foot orthosis by employing mechanical characterization and a low-cost scanning approach for additive manufacturing

Abas,

Habib,

Noor

2024

RPJ

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Purpose This study aims to investigate the fabrication of solid ankle foot orthoses (SAFOs) using fused deposition modeling (FDM) printing technology. It emphasizes cost-effective 3D scanning with the Kinect sensor and conducts a comparative analysis of SAFO durability with varying thicknesses and materials, including polylactic acid (PLA) and carbon fiber-reinforced (PLA-C), to address research gaps from prior studies. Design/methodology/approach In this study, the methodology comprises key components: data capture using a cost-effective Microsoft Kinect® Xbox 360 scanner to obtain precise leg dimensions for SAFOs. SAFOs are designed using CAD tools with varying thicknesses (3, 4, and 5 mm) while maintaining consistent geometry, allowing controlled thickness impact investigation. Fabrication uses PLA and PLA-C materials via FDM 3D printing, providing insights into material suitability. Mechanical analysis uses dual finite element analysis to assess force–displacement curves and fracture behavior, which were validated through experimental testing. Findings The results indicate that the precision of the scanned leg dimensions, compared to actual anthropometric data, exhibits a deviation of less than 5%, confirming the accuracy of the cost-effective scanning approach. Additionally, the research identifies optimal thicknesses for SAFOs, recommending a 4 and 5 mm thickness for PLA-C-based SAFOs and an only 5 mm thickness for PLA-based SAFOs. This optimization enhances the overall performance and effectiveness of these orthotic solutions. Originality/value This study’s innovation lies in its holistic approach, combining low-cost 3D scanning, 3D printing and computational simulations to optimize SAFO materials and thickness. These findings advance the creation of cost-effective and efficient orthotic solutions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%