Predicting the adhesion strength of micropatterned surfaces using supervised machine learning

Samri, Manar; Thiemecke, Jonathan; Prinz, Eva; Dahmen, Tim; Hensel, René; Arzt, Eduard

doi:10.1016/j.mattod.2022.01.018

Cited by 10 publications

(6 citation statements)

References 22 publications

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“…Another critical aspect of micropatterning is the utilization of data-driven techniques for pattern design [257]. Artificial intelligence has proven instrumental in engineering innovative hierarchical structures and multiscale surfaces with controlled functionality [258,259]. In conjunction with the existing literature, substantial advancements have been made by integrating machine learning and data-driven methodologies to comprehend and achieve diverse micropatterns.…”

Section: Discussionmentioning

confidence: 99%

Additive manufacturing of micropatterned functional surfaces: a review

Chivate,

Zhou

2024

Int. J. Extrem. Manuf.

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Over the course of millions of years, nature has evolved to ensure survival and presents us with a myriad of functional surfaces and structures that can boast high efficiency, multifunctionality, and sustainability. What makes these surfaces particularly practical and effective is the intricate micropatterning that enables selective interactions with microstructures. Most of these structures have been realized in the laboratory environment using numerous fabrication techniques by tailoring specific surface properties. Of the available manufacturing methods, additive manufacturing (AM) has created opportunities for fabricating these structures as the complex architectures of the naturally occurring microstructures that far exceed the traditional ways. This paper presents a concise overview of the fundamentals of such patterned microstructured surfaces, their fabrication techniques, and diverse applications. A comprehensive evaluation of micro fabrication methods is conducted, delving into their respective strengths and limitations. Greater emphasis is placed on AM processes like inkjet printing and micro digital light projection printing due to the innate advantages of these processes to additively fabricate high resolution structures with high fidelity and precision. The paper explores the various advancements in these processes in relation to their use in microfabrication and also presents the recent trends in applications like the fabrication of microlens arrays, microneedles, and tissue scaffolds.

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Section: Discussionmentioning

confidence: 99%

Additive manufacturing of micropatterned functional surfaces: a review

Chivate,

Zhou

2024

Int. J. Extrem. Manuf.

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“…For aligning the pad an optical setup leveraging the principal of FTIR inspired by previous publications by Tinnemann et al was integrated in the setup. [2,34,35] Mechanical properties of the foam in terms of hysteresis and deformation behavior and the influence of the measuring layer material on the adhesive force were investigated with this setup. A set of tests was carried out on the samples to characterize them.…”

Section: Adjusted Tilt Angle [Degree]mentioning

confidence: 99%

Soft Tactile Coil‐Based Sensor for Misalignment Detection of Adhesive Fibrillary Gripping Systems

Herter,

Stopp,

Fischer

2023

Advanced Sensor Research

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Micropatterned dry adhesive systems are a promising alternative to conventional handling solutions. However, the use of these gripping systems still requires precise manual adjustment of the gripping parameters. To address this limitation, a coil‐based sensor is designed to enable automatic detection of the attachment process. The sensor consists of three sensing, one transmitting coil, a conductive film, and a compliant layer. The components are optimized to achieve reproducible, precise measurements, and minimize hysteresis effects of the components. A mathematical concept to calculate the geometrical relations between the gripping object and the gripper is established based on triangulation. The functionality of the sensor system is demonstrated in contact experiments with a glass substrate under different tilt angles, and an accuracy of 0.042 degree is achieved. The sensor system not only allows precise detection of the misalignment angle but also fast estimation of the qualitative direction of misalignment with minimal compression. This is interesting for scaling the sensor system to industrial pick‐and‐place applications as it promises to speed up the handling times and reliability of the fibrillary adhesives. In the future, the system needs to be extended to capture more complex objects and properties to be applicable to more handling problems.

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“…[6] Recently, in-line optical observation of the contact area was coupled with machine learning to predict the handling performance of a fibrillar array. [7] These studies established the sufficient adhesive capability of micropatterned polymer surfaces, on par and exceeding current handling technologies.Driven by the miniaturization of electronic and optical components, a growing trend in the industry is the automated handling of micro-objects. [8,9] Such components are typically far below 1 mm in size with a mass of a few milligrams or less.…”

mentioning

confidence: 94%

“…[ 6 ] Recently, in‐line optical observation of the contact area was coupled with machine learning to predict the handling performance of a fibrillar array. [ 7 ] These studies established the sufficient adhesive capability of micropatterned polymer surfaces, on par and exceeding current handling technologies.…”

Section: Introductionmentioning

confidence: 99%

Tuning the Release Force of Microfibrillar Adhesives by Geometric Design

Barnefske

Rundel

Moh

et al. 2022

Adv Materials Inter

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the collective behavior of fibrils in microstructure arrays, [5] and the effects of misorientation between gripping surface and object. [6] Recently, in-line optical observation of the contact area was coupled with machine learning to predict the handling performance of a fibrillar array. [7] These studies established the sufficient adhesive capability of micropatterned polymer surfaces, on par and exceeding current handling technologies.Driven by the miniaturization of electronic and optical components, a growing trend in the industry is the automated handling of micro-objects. [8,9] Such components are typically far below 1 mm in size with a mass of a few milligrams or less. [10] With shrinking size, the competition between surface (adhesion) and volume (inertia) effects shift increasingly to the domination of adhesion: small objects invariably tend to stick. [11] As negligible inertial forces no longer contribute to the release of a micro-object, new release mechanisms need to be designed for accurate placement. External triggers have been used to detach macro-objects, e.g., air pressure, electric fields, temperature changes, or chemical inputs. [12] To avoid external triggers, mechanical switching can be easily integrated into the trajectory of the gripper: the straight and intact fibrils deform compressively or even buckle when subjected to a critical overload; this is associated with a loss of contact under compression-induced buckling and facile detachment from the objects. [13,14] Bucklinginduced drop in adhesion has been investigated in different cases, including in air and vacuum, fibrils with different aspect ratios. [15,16] The figure of merit for such a release mechanism is the switching ratio, i.e., the ratio of the maximum to the minimum adhesive force in the unbuckled and buckled state; for mechanical switching by straight and intact fibril design, it comes to lie typically between 2 and 3. This mechanism has been studied theoretically and experimentally [6,17] but further improvements are required to successfully transfer this mechanism to microhandling: (i) micro-objects tend to stick to the buckled fibrils as the adhesive contact reforms during unloading; (ii) the switching ratio needs to be increased to allow the reliable placement of small and delicate objects; and (iii) elastic buckling is an uncontrolled collapse of the fibril leading to lateral deformation in random directions, which can exert forces on the object and cause imprecise placement.In the present paper, we suggest new microfibril designs that can solve the above-mentioned challenges by enhancing the buckling behavior in controlled directions. In this way, the contact area at maximum compressive force is minimized, Switchable micropatterned adhesives exhibit high potential as novel resourceefficient grippers in future pick-and-place systems. In contrast with the adhesion acting during the "pick" phase, the release during the "place" phase has received little research attention so far. For objects smaller than typically 1 mm, rel...

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Predicting the adhesion strength of micropatterned surfaces using supervised machine learning

Cited by 10 publications

References 22 publications

Additive manufacturing of micropatterned functional surfaces: a review

Additive manufacturing of micropatterned functional surfaces: a review

Soft Tactile Coil‐Based Sensor for Misalignment Detection of Adhesive Fibrillary Gripping Systems

Tuning the Release Force of Microfibrillar Adhesives by Geometric Design

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