A Normal Force Estimation Model for a Robotic Belt-grinding System

Wang, Yu‐Hsun; Lo, Yuan-Chieh; Lin, Pei-Chun

doi:10.1109/aim43001.2020.9158825

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Publications on this topic deal with digital twins of CNC cutting technologies [42], digital twins for grinding with abrasive belts [43], and digital twins for CNC plungecut grinding [44]. 6.…”

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confidence: 99%

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Kukushkin¹,

Ryabov²,

Боровков³

2022

Data

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The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, digital twins are the focus of several research areas: construction, urban management, digital transformation of the economy, medicine, virtual reality, software testing, and others. The concept is not yet fully defined, its scope seems unlimited, and the topic is relatively new; all this can present a barrier to research. The main goal of this paper is to develop a proper methodology for visualizing the digital-twin science landscape using modern bibliometric tools, text-mining and topic-modeling, based on machine learning models—Latent Dirichlet Allocation (LDA) and BERTopic (Bidirectional Encoder Representations from Transformers). The scope of the study includes 8693 publications on the topic selected from the Scopus database, published between January 1993 and September 2022. Keyword co-occurrence analysis and topic-modeling indicate that studies on digital twins are still in the early stage of development. At the same time, the core of the topic is growing, and some topic clusters are emerging. More than 100 topics can be identified; the most popular and fastest-growing topic is ‘digital twins of industrial robots, production lines and objects.’ Further efforts are needed to verify the proposed methodology, which can be achieved by analyzing other research fields.

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confidence: 99%

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Kukushkin¹,

Ryabov²,

Боровков³

2022

Data

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“…Force control and feedback based on various kinds of sensors is a straightforward method to solve the problems described above, on which various works have reported. For example, Wang et al proposed a normal force-estimation model for a belt-grinding system [7]. Zhang et al reported a wheel wear monitoring system using an interval type-2 fuzzy basis function network [8].…”

Section: Introductionmentioning

confidence: 99%

Development of a Grinding Tool with Contact-Force Control Capability

2022

Self Cite

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The grinding normal force is one of the main factors that affect grinding quality. We report on the development of a compact grinding tool which not only can rotate the grind wheel but also can actively control the wheel in the fore/aft direction to modulate the contact force. The two motion degrees of freedom are coupled in the sense of mechanism yet their motions are independent. The designed grinding tool was modeled and its parameters were systemically identified. A repetitive controller was designed to suppress periodic force variation, which was mainly caused by the rotational motion of the grinding wheel, and the results were compared with other control methods. The selection of the grinding parameters was conducted using the Taguchi method. Finally, the grinding tool and the repetitive controller were experimentally evaluated, and the experimental results confirm that the proposed control strategy can reduce the force disturbance and improve the surface quality of the flat and curvy workpieces.

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Experimental design of 4-point supported belt robot for sanding large convex surfaces

Kim,

Jin,

Lee

et al. 2024

Sci Rep

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In general, sanding robots that move as if drawing a line along a surface are mainly used when sanding objects with a large area; however, they require a long working time, and it is difficult to secure a uniform sanded area. This study focuses on large-area sanding robots, such as those for ships, storage tanks, and tank lorries, and proposes an adaptive belt tension robot equipped with a 4-point supported belt mechanism capable of sanding variable curved surfaces. In addition, a sanding normal force prediction formula is proposed to describe the sanding performance of the contact surface. This equation consists of the concentrated load function due to the belt movement and the normal force due to the vertical and horizontal elongation of the belt. A video image analysis was performed to calculate the sanding area. Therefore, we determined whether the area was uniformly sanded. The dimensions of the test bench (W $$\times $$ × D $$\times $$ × H) were 1700 mm $$\times $$ × 1450 mm $$\times $$ × 900 mm. Experiments were performed using the proposed techniques on convex specimens with radii of 725, 1000, and 2100 mm. The sanding performance was improved by 43 $$\%$$ % compared with that of a general belt-sanding robot.

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A Normal Force Estimation Model for a Robotic Belt-grinding System

Cited by 5 publications

References 17 publications

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling

Development of a Grinding Tool with Contact-Force Control Capability

Experimental design of 4-point supported belt robot for sanding large convex surfaces

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