Hadi Fekrmandi

Hadi Fekrmandi
South Dakota School of Mines and Technology | SDSM&T · Department of Mechanical Engineering

Mechanical Engineering

About

29
Publications
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179
Citations

Publications

Publications (29)
Article
In this study the location of applied load on an aluminum and a composite plate was identified using two type of neural network classifiers. Surface Response to the Excitation (SuRE) method was used to excite and monitor the elastic guided waves on plates. The characteristic behavior of plates with and without load was obtained. The experiments wer...
Article
Additive Manufacturing (AM) is a crucial component of the smart manufacturing industry. In this paper, we propose an automated quality grading system for the fused deposition modeling (FDM) process as one of the major AM processes using a developed real-time deep convolutional neural network (CNN) model. The CNN model is trained offline using the i...
Chapter
Full-text available
This paper discusses a prototype pipe-crawling robot for inspection and maintenance. The robot is designed for small diameter complex piping systems with frequent intersections, turns, and obstructions. The modular design of the robot consists of propelling and inspection modules with an integrated steering mechanism. The basic propulsion system co...
Chapter
Full-text available
In this paper, the feasibility of using a vision-based fiducial system is evaluated to provide state estimation for agents within a swarm. We used ArUco markers for relative pose estimation and conducted an experiment for validation of the performance, the accuracy of estimations, and reliability of the method. The ultimate goal is to develop an ap...
Preprint
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Additive Manufacturing (AM) is a crucial component of the smart industry. In this paper, we propose an automated quality grading system for the AM process using a deep convolutional neural network (CNN) model. The CNN model is trained offline using the images of the internal and surface defects in the layer-by-layer deposition of materials and test...
Conference Paper
Full-text available
Recent global environmental challenges have urged researchers to work on renewable energy resources. One major category of these resources is piezoelectric materials. This paper presents dynamic modeling of a piezoelectric energy harvesting system and then presents two level methodology using artificial neural networks to reach its maximum power ou...
Conference Paper
Full-text available
Small satellites, including the nanosatellite platforms called CubeSats, are suitable for formation flying missions because of their modular nature and low cost. A formation flying mission involves a set of spatially-distributed satellites capable of autonomous interaction and cooperation with one another in order to maintain the desired formation....
Conference Paper
In this paper, we describe the design, control and experimental validation of a new robotic pipe crawler for autonomous inspection of remote-to-access piping. The majority of current in-pipe inspection robots are primarily designed and suitable for large diameter pipes and unreliable for pipes less than 5 inches (12.70 cm) in diameter. The small si...
Conference Paper
In this paper, we describe design of a robotic pipe crawler for inspection and repair of remote to access internal piping systems. Current snake robots for pipe are primarily designed for inspection purposes and unreliable for conducting further operations including repair. This shortcoming is due to the limited load carrying capacity that impedes...
Conference Paper
In this study, the surface response to excitation method (SuRE) is investigated using a data-driven method for diagnostics and prognostics of applied load on a plate structure. The SuRE method is an emerging approach in ultrasonic wave-based structural health monitoring (SHM). In this method, high-frequency, surface-guided waves are excited on the...
Conference Paper
Full-text available
In this study, the surface response to excitation method (SuRE) is investigated using a data-driven method for load monitoring on a laminated composite plate structure. The SuRE method is an emerging approach in ultrasonic wave-based structural health monitoring (SHM) field. In this method, a range of high-frequency, surface-guided waves are excite...
Chapter
Full-text available
Surface response to excitation (SuRE) method is a low-cost alternative to the electromechanical impedance method developed for the structural health monitoring (SHM) applications. This method uses one piezoelectric transducer to excite the surface of a structure with a sweep sine wave. One or more piezoelectric sensors or scanning laser vibrometer...
Chapter
Full-text available
The Surface response to excitation (SuRE) method was developed to detect the defects and loading condition changes on plates without using the impedance analyzer. The SuRE method excites the surface with a piezoelectric exciter. Generally, sweep sine wave is continuously applied and surface waves are monitored with (a) piezoelectric element(s) or n...
Article
Buckypaper/DYAD/Buckypaper and Buckypaper/DYAD/(polyaniline/multiwalled carbon nanotube) composites films were made by frit compression method and layer-by-layer attachment method. Transmission electron microscopy and scanning electron microscopy were used to study the morphology properties of polyaniline/multiwalled carbon nanotube and the results...
Article
Full-text available
Rapid screening and monitoring of hollow cylindrical structures using active guided-waves based structural health monitoring (SHM) techniques are important in chemical, petro-chemical, oil and gas industries. Successful implementation of the majority of these techniques in the SHM of pipes depends on the identification of the appropriate guided-wav...
Article
Full-text available
Polyaniline (PANI)/11% Multi-carbon nanotubes (MWCNT) nanocomposites sensors were synthesized through an in situ polymerization method. Frits compression method was adopted to make PANI/MWCNT. Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) tests results showed that this technique produced a coating of PANI onto the MW...
Article
Surface response to excitation (SuRE) method is a low-cost alternative to electromechanical impedance based structural health monitoring (SHM) technique. The SuRE method uses one piezoelectric transducer to excite the surface of a structure with a sweep sine wave. Piezoelectric sensors or scanning laser vibrometer can be used to monitor the dynamic...
Conference Paper
Full-text available
Surface Response to Excitation Method (SuRE) is an active structural health monitoring (SHM) method. SuRE method was implemented by exciting the surface of a plate with a piezoelectric element. The propagation of the created surface waves were monitored with one or more sensors. These sensors could be piezoelectric elements or noncontact sensors su...
Article
Full-text available
Surface response to excitation (SuRE) method was originally developed for structural health monitoring (SHM) applications. SuRE was used to evaluate the performance of completed milling operations. The method generates surface waves on the plate and studies the spectrum changes at selected points to detect defects and change of compressive forces....
Conference Paper
Full-text available
In this study surface response to excitation (SuRE) method with a neural network was used for structural health monitoring of an aluminum beam. SuRE method excited and monitored the elastic guided waves on the structure. The frequency-transfer function was captured over a range of high frequencies (20-200 kHz) using a low cost Digital Signal Proces...
Article
Full-text available
The Surface Response to Excitation (SuRE) method excites the surface of the structure with a piezoelectric element. The generated vibrations at critical points on the surface are measured with other piezoelectric elements, a laser vibrometer or other sensors. Then the magnitude of the transfer function between the excitation and the sensory signal...
Article
Full-text available
The integrity of a robotic arm was examined remotely via a scanning laser vibrometer (SLV) in order to detect loose bolts. A piezoelectric element (PZT) was bonded on the robot arm for excitation of surface guided waves. A spectrum analyzer generated surface waves within the 20-100 kHz range. The propagation of the waves was monitored with the SLV...
Conference Paper
Full-text available
The loading location estimation capability of the surface response to excitation (SuRE) method was studied for a beam. Load was applied to different locations of a beam. Surface was excited with a piezoelectric element. The scanning laser vibrometer was used to monitor the surface response characteristics of the entire surface. These characteristic...
Conference Paper
Full-text available
Performance of the Surface Response to Excitation (SuRE) method was evaluated when the data was collected with a scanning laser vibrometer while an ordinary mirror direct the beam to the desired location. The surface of a horizontally located test plate was excited with a piezoelectric element. The horizontal beam of the scanning laser vibrometer w...
Article
Full-text available
In this paper the free nonlinear vibration behavior of a cracked cantilever beam is investigated both theoretically and experimentally. For simplicity, the dynamic behavior of a cracked beam vibrating at its first mode is simulated using a simple single degree of freedom lumped parameter system. The time varying stiffness is modeled using a harmoni...

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Projects (3)
Project
The objective of this research is to develop new vision-based state estimation and distributed control method for formation flying of small satellites. System of multiple small satellites attracts NASA as their scientific, commercial and academic tasks can not be achieved with a single satellite. Proximate formation flying capability is essential for earth and space science missions that require accurate multi-measurements such as phased array antennas. It also has application in larger spacecraft inspection and service missions. This research is being conducted collaboratively at SD Mines and SDSU with supervision of NASA Marshal Flight Center and in collaboration with the L3Technologies Communication West.
Project
Improve SHM performance through Machine Learning