3D framework combining CFD and MATLAB techniques for plume source localization research

Awadalla, Mohamed; Lu, Tien‐Fu; Tian, Zhao Feng; Dally, Bassam B.; Liu, Zhenzhang

doi:10.1016/j.buildenv.2013.07.021

Cited by 43 publications

(12 citation statements)

References 18 publications

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“…For instances, Awadalla et al 4 used a virtual robot in the Matlab platform and Gao et al 3 used a simplified model of flying robot with four sensors setup for detection in the left, right, up and down directions, as shown in Figure 4. Recently, Soares et al 17 has conducted a 3D CPT experiment in a wind tunnel.…”

Section: Related Workmentioning

confidence: 99%

Chemical plume tracing

Yap

2018

International Journal of Advanced Robotic Systems

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Most of the reported three-dimensional chemical plume tracing methods use stereo sensing method to determine the next tracing step direction. For example, multiple sensors are used for detection in the left, right, up and down directions. Left and right detections are feasible for stereo sniffing; unfortunately, the same approach is infeasible for the up/down sensing of the quadrotor platforms because the propellers of the quadrotor continuously draw the air from the top and bring it down, which affects the sensing of the upper and lower sensors, and fails to determine the subsequent tracing step of up/down direction. Therefore, up/down sensing in the surging stage of chemical plume tracing is ineffective for quadrotor platforms (chemical plume tracing has two stages: surging and casting). To solve the problem, we propose an alternative that is not in the surging but in the casting stage of chemical plume tracing, by designing a new three-dimensional chemical plume tracing technique with variations of altitude (z-axis) control during the casting stage, which has never been considered in the previous works. Besides, we use a computational fluid dynamics software to study the airflow pattern of quadrotor platform. Subsequently, a fuzzy-based stereo-sniffing algorithm is developed by considering the quadrotor propeller's air intake stream angle associated with the environmental wind direction angle, so as to improve the accuracy of stereo sensing. The results of the proposed solutions are verified and validated via both experimental and simulation approaches.

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Section: Related Workmentioning

confidence: 99%

Chemical plume tracing

Yap

2018

International Journal of Advanced Robotic Systems

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“…Thanks to the rapid development of the computing power, CFD techniques have been recently widely applied to many engineering applications and research, e.g. in chemical processing, 8 aerospace engineering, 9 robotic control research 10 and many other applications. The CFD course therefore has been the most popular Level IV subject in the School of Mechanical Engineering at the University of Adelaide.…”

Section: Brief Description Of the Course ‘Cfd For Engineering Applicamentioning

confidence: 99%

Teaching and enhancement of critical thinking skills for undergraduate students in a computational fluid dynamics course

Tian

2016

International Journal of Mechanical Engineering Education

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This paper reports the recent development and implementation of three teaching modules in order to teach and enhance the students' critical thinking skills in a level IV undergraduate/postgraduate course 'Computational Fluid Dynamics (CFD) for Engineering Applications'. These teaching modules include a lecture module, an online test module and a CFD project module. The lecture module introduces the importance of critical thinking skills by an example case, critical thinking definition and processes, and the application of critical thinking skills in formulation of CFD problems. In the online test module, seven online tests have been developed to enhance the students' understanding of the contents of lectures and practical sessions. Meanwhile, students apply their critical thinking skills to work out some of the tests. In the project module, a student-driven CFD project is designed to help students to apply CFD techniques and critical thinking skills in engineering problems. In the project, students choose their own project topic and problems. They use CFD skills learned in the course and critical thinking skills to critically analyse their problems, identify the important parameters and review results. They apply the critical writing skills to finalise a project report. To the best knowledge of the author, this systematical integration of teaching and enhancement of critical thinking skills in computational fluid dynamics course is innovative. Feedback from students is quite positive shown by an anonymous survey in 2014.

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“…To date, most research on robot active olfaction methods [9,[28][29][30][31][32] has been conducted in steady-state airflow environments, and only a few attempts have been made in recent years to locate sources in dynamic indoor environments. Compared to steady-state indoor environments, dynamic indoor environments pose two major challenges to robot active olfaction methods.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation

Feng

Cai

Chen

et al. 2019

Energy and Buildings

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a b s t r a c tSource localization is critical to ensuring indoor air quality and environmental safety. Although considerable research has been conducted on source localization in steady-state indoor environments, very few studies have dealt with the more challenging source localization problems in dynamic indoor environments. This paper presents a comprehensive particle swarm optimization (CPSO) method to locate a contaminant source in dynamic indoor environments with mechanical ventilation and develops a multi-robot source localization system to experimentally validate the method. Three robots were used to test the presented method in a typical dynamic indoor environment with periodic swinging of the air supply louvers of a cabinet air conditioner. The presented method was validated with two typical source locations, DS (in the downwind zone) and RS (in the recirculation zone). For DS and RS, 15 and 14 experiments out of 15 experiments were successful, with success rates of 100% and 93.3%, and each robot moved an average of 24.4 and 23.6 steps, respectively. The presented method was also compared with the standard particle swarm optimization (SPSO) and wind utilization II (WUII) methods for locating the source at DS. For the SPSO and WUII methods, only 3 and 6 experiments out of 15 experiments were successful, with success rates of 20% and 40% and averages of 33.0 and 38.0 steps, respectively. The experimental results show that the presented method not only has a much higher success rate than the SPSO and WUII methods but also has higher source localization efficiency.

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3D framework combining CFD and MATLAB techniques for plume source localization research

Cited by 43 publications

References 18 publications

Chemical plume tracing

Chemical plume tracing

Teaching and enhancement of critical thinking skills for undergraduate students in a computational fluid dynamics course

Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation

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