Effect of Workpart Curvature on the Stiffness Properties of Circular Filamentary Brushes

Heinrich, Stephen M.; Stango, R. J.; Shia, Chih-Yuan

doi:10.1115/1.2899697

Cited by 21 publications

(5 citation statements)

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“…Stango, adopting the classical beam theory in [8], deduced equations for calculating the bending of the bristles acting on a flat surface. Heinrich extended Stango's formulation for bristles acting on curved surfaces [9]. Subsequently, they validated the numerical results obtained with an experimental campaign [10,11].…”

Section: Introductionmentioning

confidence: 77%

Numerical and Machine-Aided Experimental Models for Simulating the 3D Compliance of a Toothbrush

Cirelli,

Cellupica,

D’Angelo

et al. 2023

Machines

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One of the most discussed topics in toothbrush design is identifying the contact force exerted by the bristles on the teeth. Each bristle must generate a contact force to ensure tooth cleaning without damaging it. Numerical simulation is a very powerful tool for understanding the influence of design parameters (bristle shape and materials). This paper proposes a flexible multibody model to efficiently simulate the 3D compliance of a toothbrush. Each bristle is modeled using a discrete, flexible approach. The contact between the bristles and the target surface is established using the penalty contact method. An experimental test bench with a Universal Robot and a flat, transparent surface is set up. Validation is provided by comparing the reaction forces of the toothbrush with the reaction forces acquired by the load cells mounted on the end effector of the Robot. The results demonstrate the accuracy of estimating normal and tangential forces in various operating situations. The discrete flexible multibody technique has also demonstrated its viability in evaluating the displacement of the bristles when the toothbrush’s base body is put through a specified motion, even when it is exposed to a sudden change in direction. As a result, the model can be effectively utilized to assess how well various brush classes remove dental plaque. Therefore, the suggested model could provide guidance for holistic modeling and advancements in toothbrush design to boost their effectiveness for thorough cleaning.

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Section: Introductionmentioning

confidence: 77%

Numerical and Machine-Aided Experimental Models for Simulating the 3D Compliance of a Toothbrush

Cirelli,

Cellupica,

D’Angelo

et al. 2023

Machines

View full text Add to dashboard Cite

show abstract

“…Likewise, the amount of literature on brushing processes is very limited. Research has been conducted into the behaviour of brushes for surface finishing operations Shia et al, 1989;Heinrich et al, 1991;Stango and Shia, 1997;Fitzpatrick and Paul, 1987), removal of fouling from surfaces (Holm et al, 2003), post-CMP (Chemical Mechanical Planarization) cleaning (Philipossian and Mustapha, 2003;Moumen and Busnaina, 2001), air duct cleaning (e.g., Holopainen and Salonen, 2002), and street sweeping (Wang, 2005;Peel and Parker, 2002;Peel, 2002;Vanegas Useche et al, 2007Abdel Wahab et al, 2007). Relevant details of research into street sweeping and brushing technology are discussed in this section.…”

Section: Related Workmentioning

confidence: 97%

Effectiveness of gutter brushes in removing street sweeping waste

2010

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“…Aside from technological investigations, computer simulations have been carried out to gain insights into motion behavior and the contact forces of individual filaments. First, Stango et al [14][15][16][17][18] devised a quasi-static method based on the large deflection elastic theory to simulate the behavior of single steel filaments. They later developed a refined approach by discretizing the filaments and using algebraic equation systems with constraints to account for dynamics.…”

Section: Introductionmentioning

confidence: 99%

Image-Based Tool Characterization and DEM Simulation of Abrasive Brushing Processes

Hoyer,

Uhlmann

2024

Machines

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Brushing with bonded abrasives is a finishing process used for deburring, edge rounding, and roughness reduction. However, due to the complex motion, chipping, and wear behavior of abrasive filaments, industrial brushing processes have historically relied on empirical knowledge. To gain a better understanding of filament interactions, a physical model based on the discrete element method was developed to simulate process forces and contact areas. Filament patterns of round brushes were determined through the use of laser line triangulation and image processing. These filament patterns showed interlocked filaments and yielded more accurate results when used in brushing simulations than the oversimplified square patterns, which were used in previous research. Simulation confirms the occurrence of filament interactions, distinguishes between sweeping and striking filament motions, and reveals dynamic behavior at high brushing velocities that may increase undesirable tool wear.

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Effect of Workpart Curvature on the Stiffness Properties of Circular Filamentary Brushes

Cited by 21 publications

References 0 publications

Numerical and Machine-Aided Experimental Models for Simulating the 3D Compliance of a Toothbrush

Numerical and Machine-Aided Experimental Models for Simulating the 3D Compliance of a Toothbrush

Effectiveness of gutter brushes in removing street sweeping waste

Image-Based Tool Characterization and DEM Simulation of Abrasive Brushing Processes

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