Work in Progress: Mobile Instructional Particle Image Velocimetry  for STEM Outreach and Undergraduate Fluids Mechanics Education

Caldwell, Lori; Minichiello, Angela

doi:10.18260/1-2--33639

Cited by 2 publications

(2 citation statements)

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“…Prior to UAS being reasonably attainable, mobile methods could be conducted using telescopic poles, as demonstrated in Le Coz et al (2010) and Dramais et al (2011). Secondly, an important revelation of mobile image velocimetry is the use of software on mobile phones (Hain et al, 2016;Caldwell et al, 2019). Lab based studies on the use of mobile discharge apps (e.g., DischargeApp) show that the methods can reproduce discharges without the need of illumination within a 15% error 87% of the time (hand-held), and 100% of the time using a tripod (Carrel et al, 2019).…”

Section: Choice Of Platformmentioning

confidence: 99%

Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity

et al. 2021

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Large-scale image velocimetry is a novel approach for non-contact remote sensing of flow in rivers. Research within this topic has largely focussed on developing specific aspects of the image velocimetry work-flow, or alternatively, testing specific tools or software using case studies. This has resulted in the development of a multitude of techniques, with varying practice being employed between groups, and authorities. As such, for those new to image velocimetry, it may be hard to decipher which methods are suited for particular challenges. This research collates, synthesises, and presents current understanding related to the application of particle image velocimetry (PIV) and particle tracking velocimetry (PTV) approaches in a fluvial setting. The image velocimetry work-flow is compartmentalised into sub-systems of: capture optimisation, pre-processing, processing, and post-processing. The focus of each section is to provide examples from the wider literature for best practice, or where this is not possible, to provide an overview of the theoretical basis and provide examples to use as precedence and inform decision making. We present literature from a range of sources from across the hydrology and remote sensing literature to suggest circumstances in which specific approaches are best applied. For most sub-systems, there is clear research or precedence indicating how to best perform analysis. However, there are some stages in the process that are not conclusive with one set method and require user intuition or further research. For example, the role of external environmental conditions on the performance of image velocimetry being a key aspect that is currently lacking research. Further understanding in areas that are lacking, such as environmental challenges, is vital if image velocimetry is to be used as a method for the extraction of river flow information across the range of hydro-geomorphic conditions.

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Section: Choice Of Platformmentioning

confidence: 99%

Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity

et al. 2021

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“…As an interdisciplinary team of engineering education, mechanical engineering, and computer science researchers, instructors, and graduate and undergraduate students, we are employing design-based research (DBR) to develop the mI-PIV learning tool through an iterative process of design, implementation, and assessment [8]. DBR is characterized as being situated in a real-life educational context, focusing on the realization of significant educational intervention, and employing multiple iterations of analysis, design, development, and implementation in collaboration with cognizant stakeholders (i.e., students, instructors, researchers) to develop effective interventions and discover new design principles or theories [50].…”

Section: Mi-piv Development Process Using Design-based Researchmentioning

confidence: 99%

Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach

Minichiello

Armijo

Mukherjee

et al. 2020

Comp Applic In Engineering

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A robust and intuitive understanding of fluid mechanics-the applied science of fluid motion-is foundational within many engineering disciplines, including aerospace, chemical, civil, mechanical, naval, and ocean engineering. In-depth knowledge of fluid mechanics is critical to safe and economical design of engineering applications employed globally everyday, such as automobiles, aircraft, and sea craft, and to meeting global 21st century engineering challenges, such as developing renewable energy sources, providing access to clean water, managing the environmental nitrogen cycle, and improving urban infrastructure. Despite the fundamental nature of fluid mechanics within the broader undergraduate engineering curriculum, students often characterize courses in fluid mechanics as mathematically onerous, conceptually difficult, and aesthetically uninteresting; anecdotally, undergraduates may choose to opt-out of fluids engineering-related careers based on their early experiences in fluids courses. Therefore, the continued development of new frameworks for engineering instruction in fluid mechanics is needed. Toward that end, this paper introduces mobile instructional particle image velocimetry (mI-PIV), a low-cost, open-source, mobile application-based educational tool under development for smartphones and tablets running Android. The mobile application provides learners with both technological capability and guided instruction that enables them to visualize and experiment with authentic flow fields in real time. The mI-PIV tool is designed to generate interest in and intuition about fluid flow and to improve understanding of mathematical concepts as they relate to fluid mechanics by providing opportunities for fluids-related active engagement and discovery in both formal and informal learning contexts.

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Work in Progress: Mobile Instructional Particle Image Velocimetry for STEM Outreach and Undergraduate Fluids Mechanics Education

Cited by 2 publications

References 8 publications

Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity

Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity

Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach

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