Predicting the Material Removal in Polishing: The Applicability of Two Types of Statistical Models

Jin, Xiaoqing; Zhang, L. C.

doi:10.1080/10910344.2014.897838

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…If the reference distance between two rough surfaces is d, which is the thickness of the equivalent interfacial layer introduced in this study above, there will be a contact between the asperities whose total height is originally greater than d. The investigation by Jin and Zhang [13,15] has concluded that the contact of two rough surfaces can be equivalent to the contact between a smooth and a rough surface. Thus for simplicity but without losing the generality, it is reasonable to consider in the present study that the roll surfaces are smooth while the strip surface is rough.…”

Section: Statistical Modeling Of Asperity/lubricant Interactionsmentioning

confidence: 90%

A novel multi-scale statistical characterization of interface pressure and friction in metal strip rolling

Zhang

et al. 2014

International Journal of Mechanical Sciences

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Section: Statistical Modeling Of Asperity/lubricant Interactionsmentioning

confidence: 90%

A novel multi-scale statistical characterization of interface pressure and friction in metal strip rolling

Zhang

et al. 2014

International Journal of Mechanical Sciences

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“…To predict the asperity flash temperature, a statistical characterization of a rough surface can be used. As pointed out by Jin and Zhang, the contact between 2 rough surfaces can be converted to that between a smooth surface with an equivalent rough surface to simplify the analysis. Thus, here, assume that the pin surface is smooth as the polymer surface is much rougher.…”

Section: Resultsmentioning

confidence: 99%

Friction and wear behavior of PI and PTFE composites for ultrasonic motors

Zhao

Zhang

et al. 2018

Polymers for Advanced Techs

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High-performance polymer-based frictional materials have become increasingly important to improve the mechanical output properties of ultrasonic motors. This study discussed the friction and wear behavior of 2 dominating frictional materials of polymer composites for ultrasonic motors, polyimide (PI), and polytetrafluoroethylene (PTFE) filled by aramid fibers (AF) and molybdenum disulfide (MoS 2 ). To explore the wear mechanisms, the tribo-pair contact stress was theoretically characterized, and the interface temperature rise was numerically predicted. The predictions showed that the flash temperature on asperity tips could reach the glass transition temperature of the polymer materials. The experimental results indicated that the contact stress and sliding speed have a small effect on the friction of the PI composite but influence considerably the friction of the PTFE composite. A higher contact stress brings about a higher specific wear rate, but a higher sliding speed reduces the wear rate. Compared with AF/MoS 2 /PTFE, the AF/MoS 2 /PI has much better tribological performance under high loads and speeds. KEYWORDS friction and wear, polyimide, polytetrafluoroethylene, temperature, ultrasonic motors 1 | INTRODUCTION An ultrasonic motor (USM) is driven by the frictional force between its stator and rotor. Such motors have been extensively used in medical apparatus, precision positioning devices, and aerospace structures because of their fast response capacity, high torque at low speed, and self-locking without the application of external power. 1 However, there are also drawbacks which have hindered the development of USMs, including their low transfer efficiency, poor mechanical output stability, and short service life in harsh environments. To improve the performance of USMs, better frictional materials of ultralow wear rate and stable friction are required because their properties determine directly the output characteristics and service life of USMs in complex, harsh environments. Some frictional materials have been tested for USMs, 2-6 including rubber, resin, metal coatings, alloys, and ceramic composites. It was found that most of them cannot meet the requirements due to, eg, severe wear, short service life, and high noise. Polymer-based frictional materials, however, have been found to be applicable to travelling wave USMs for their excellent wear resistance, low noise, suitable hardness, and thermal stability. For instance, Rehhein and Wallaschek 7 studied the friction and wear behavior of PI composites and found that the inclusion of carbon fibers could improve the wear resistance of PI sliding against steel. Ishii et al 8 established a method to predict the service life of USMs with a carbon-fiber-reinforced polymer as the frictional material. Qu et al 3-5,9,10 investigated the tribological properties of polytetrafluoroethylene (PTFE), phenolic resin, and Ekonol composites in different environments and proposed a method for selecting frictional materials incorporating operation conditions. Ding et al ...

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“…Several studies have been performed to understand the effects of polishing process parameters on final surface quality and a mechanism for how material removal takes place during the polishing process, but still, these aspects need to be understood more in depth. − The hardness and size distribution of the abrasive nanoparticles play a very important role in glass polishing, especially for mechanical abrasion . For instance, the hardness should be similar to that of the glass to avoid deep penetration of the polishing grains and the formation of large grooves at the glass surface.…”

Section: Introductionmentioning

confidence: 99%

New Atomistic Insights on the Chemical Mechanical Polishing of Silica Glass with Ceria Nanoparticles

Brugnoli

Miyatani²,

Akaji³

et al. 2023

Langmuir

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Reactive molecular dynamics simulations have been used to simulate the chemical mechanical polishing (CMP) process of silica glass surfaces with the ceria ( 111) and ( 100) surfaces, which are predominantly found in ceria nanoparticles. Since it is known that an alteration layer is formed at the glass surface as a consequence of the chemical interactions with the slurry solutions used for polishing, we have created several glass surface models with different degrees of hydroxylation and porosity for investigating their morphology and chemistry after the interaction with acidic, neutral, and basic water solutions and the ceria surfaces. Both the chemical and mechanical effects under different pressure and temperature conditions have been studied and clarified. According to the simulation results, we have found that the silica slab with a higher degree of hydroxylation (thicker alteration layer) is more reactive, suggesting that proper chemical treatment is fundamental to augment the polishing efficiency. The reactivity between the silica and ceria (111) surfaces is higher at neutral pH since more OH groups present at the two surfaces increased the Si−O−Ce bonds formed at the interface. Usually, an outermost tetrahedral silicate unit connected to the rest of the silicate network through a single bond was removed during the polishing simulations. We observed that higher pressure and temperature accelerated the removal of more SiO 4 units. However, excessively high pressure was found to be detrimental since the heterogeneous detachment of SiO 4 units led to rougher surfaces and breakage of the Si−O−Si bond, even in the bulk of the glass. Despite the lower concentration of Ce ions at the surface resulting in the lower amount of Si−O−Ce formed, the (100) ceria surface was intrinsically more reactive than (111). The different atomic-scale mechanisms of silica removal at the two ceria surfaces were described and discussed.

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Predicting the Material Removal in Polishing: The Applicability of Two Types of Statistical Models

Cited by 9 publications

References 18 publications

A novel multi-scale statistical characterization of interface pressure and friction in metal strip rolling

A novel multi-scale statistical characterization of interface pressure and friction in metal strip rolling

Friction and wear behavior of PI and PTFE composites for ultrasonic motors

New Atomistic Insights on the Chemical Mechanical Polishing of Silica Glass with Ceria Nanoparticles

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