Fluid dynamic modeling and fuzzy proportional–integral–derivative–based ink-supply method for piezoelectric ink-jet printing

Zhan, Hongwu; Xu, Fang; Ni, Zijing

doi:10.1177/1687814017718981

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…Furbank and Morris studied the droplet formation in the dripping mode and the transition from dripping to jetting, as shown in figure 15(b), the particles in suspension were found to effectively suppress the satellite droplets [178]. In addition, for the other control strategies, Zhan et al designed a fuzzy PID control system to obtain a softer and cleaner image [179]. A feed-forward method was proposed to restrain the residual vibration without influencing the droplet formation [180][181][182] and this method was also optimized by Khalate et al [140,[183][184][185][186].…”

Section: Additive and Other Control Strategymentioning

confidence: 99%

A review on droplet-based 3D printing with piezoelectric micro-jet device

Feng,

Liu,

Deng

et al. 2024

Smart Mater. Struct.

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The droplet-based 3D printing with piezoelectric micro-jet device (PMJD), also known as fabrication with droplet ejection, has shown its unique advantages exceeding typical processing in direct rapid manufacturing (DRM) of miniature and complicated metal parts, function components, and other heterogeneous devices. Recently, the droplet-based 3D printing with higher printing velocity, controllable precision and smaller printing volume is need more and more in additive manufacturing (AM) fields, which promotes the development of the droplet-based printing technology to a faster, accurate and flexible direction. In this regard, the droplet-based 3D printing with PMJD has received a lot of attentions from universities, enterprises, and other research institutes. In this review, based on introducing the droplet-based 3D printing technologies, we will clarify the advantages of droplet-based 3D printing, especially the droplet ejection with PMJD. Then, the connections and differences between the ejection of non-metallic droplets and metal droplets based on piezoelectric micro-jet are also clarified, meanwhile, the challenges, such as the consistency, reliability, and stability of piezoelectric actuated droplet ejection, are concluded and analyzed. In general, the future developments of droplet-based 3D printing technology are prospected, and the review can provide some further references for the related works.

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Section: Additive and Other Control Strategymentioning

confidence: 99%

A review on droplet-based 3D printing with piezoelectric micro-jet device

Feng,

Liu,

Deng

et al. 2024

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…where is the system gain factor, is the lag time, = / is the time constant, is system specific heat, and is radiating coefficient [3,4,[25][26][27]. Therefore, it will be with apparent variations according to the different control objectives and environmental conditions.…”

Section: Control Objective and Thermodynamic Modelmentioning

confidence: 99%

A Self‐Tuning Proportional‐Integral‐Derivative‐Based Temperature Control Method for Draw‐Texturing‐Yarn Machine

Rong

Chen

2017

Mathematical Problems in Engineering

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Owing to the fast time-varying characteristics, the temperature control for draw-texturing-yarn (DTY) machine has higher technical difficulties and results in challenges for system energy optimization. To address the matter, a self-tuning proportionalintegral-derivative-(ST-PID-) based temperature control method is proposed. Referring to the technical procedures of DTY machine, a thermodynamic model is set up. Then, a ST-PID minimum phase control system is constructed by the pole-point placement method. Subsequently, an artificial neural network based forgetting factor searching (ANN-FFS) algorithm is developed to optimize the system parameter identification. The numerical cases show that the proposed ANN-FFS algorithm can improve the parameter identification process, and the average identifying efficiency ( > 15) can increase by more than 50%; compared with the fuzzy PID controller, the proposed ST-PID method can increase the control accuracy nearly 3 times for the static temperature ascending. The experimental results prove that the proposed ST-PID method has better abilities of characteristics tracing and antiinterference and can restrain the temperature fluctuation caused by objective switching and the factual control accuracy reaches 3 times that of fuzzy PID method.

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“…Technological developments in information, electronics and mechatronics have advanced the use of micro-robots in precision operation fields, such as complex assembly [ 1 , 2 ], advanced machining [ 3 , 4 ], intelligent manufacturing [ 5 ], automatic monitoring [ 6 , 7 ], nondestructive testing [ 8 , 9 ] and digital printing [ 10 , 11 ]. To accomplish a wide range of accurate operations, micro-robots such as miniature assembly robots and micro-robots for large-format digital printing must plan their motion trajectories and determine if there is a deviation in the path that requires accurate pose measurements in real-time [ 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

A Kalman Filter-Based Kernelized Correlation Filter Algorithm for Pose Measurement of a Micro-Robot

et al. 2021

Self Cite

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This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adaptive Kalman filter can predict the state of linearly and nonlinearly fast-moving targets. The kernelized correlation filter algorithm then accurately detects the positions of the moving targets and uses the detection results to modify the moving states of the targets. This paper verifies the performance of the algorithm on a monocular vision measurement platform and using a pose measurement method. The K2CF algorithm was embedded in the micro-robot’s attitude measurement system, and the tracking performances of three different trackers were compared under different motion conditions. Our tracker improved the positioning accuracy and maintained real-time operation. In a comparison study of K2CF and many other algorithms on Object Tracking Benchmark-50 and Object Tracking Benchmark-100 video sequences, the K2CF algorithm achieved the highest accuracy. In the 400 mm × 300 mm field of view, when the target radius is about 3 mm and the inter-frame acceleration displacement does not exceed 5.6 mm, the root-mean-square error of position and attitude angle can satisfy the precision requirements of the system.

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Fluid dynamic modeling and fuzzy proportional–integral–derivative–based ink-supply method for piezoelectric ink-jet printing

Cited by 4 publications

References 43 publications

A review on droplet-based 3D printing with piezoelectric micro-jet device

A review on droplet-based 3D printing with piezoelectric micro-jet device

A Self‐Tuning Proportional‐Integral‐Derivative‐Based Temperature Control Method for Draw‐Texturing‐Yarn Machine

A Kalman Filter-Based Kernelized Correlation Filter Algorithm for Pose Measurement of a Micro-Robot

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