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13,001
result(s) for
"Formability"
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Damage Mechanisms and Mechanical Properties of High-Strength Multiphase Steels
by
Heibel, Sebastian
,
Nester, Winfried
,
Clausmeyer, Till
in
Automotive bodies
,
Crack initiation
,
Damage localization
2018
The usage of high-strength steels for structural components and reinforcement parts is inevitable for modern car-body manufacture in reaching lightweight design as well as increasing passive safety. Depending on their microstructure these steels show differing damage mechanisms and various mechanical properties which cannot be classified comprehensively via classical uniaxial tensile testing. In this research, damage initiation, evolution and final material failure are characterized for commercially produced complex-phase (CP) and dual-phase (DP) steels in a strength range between 600 and 1000 MPa. Based on these investigations CP steels with their homogeneous microstructure are characterized as damage tolerant and hence less edge-crack sensitive than DP steels. As final fracture occurs after a combination of ductile damage evolution and local shear band localization in ferrite grains at a characteristic thickness strain, this strain measure is introduced as a new parameter for local formability. In terms of global formability DP steels display advantages because of their microstructural composition of soft ferrite matrix including hard martensite particles. Combining true uniform elongation as a measure for global formability with the true thickness strain at fracture for local formability the mechanical material response can be assessed on basis of uniaxial tensile testing incorporating all microstructural characteristics on a macroscopic scale. Based on these findings a new classification scheme for the recently developed high-strength multiphase steels with significantly better formability resulting of complex underlying microstructures is introduced. The scheme overcomes the steel designations using microstructural concepts, which provide no information about design and production properties.
Journal Article
Modeling roll contact curves
by
Kurbanova, Feruza
,
Abdukarimov, Abdusalam
,
Khalturaev, Farkhod
in
Coatings
,
Deformation
,
Formability
2025
Roller devices equipped with deformable coatings are crucial for various mechanical operations in material processing. Understanding the contact lines between these rollers and deformable coatings is essential for revealing physical phenomena in roller devices. This study derives analytical expressions for contact curves based on the physical phenomena in the deformation zone. It has been established that the factor that most influences the mathematical model of the contact curve of the rolls is the ratio of the deformation rates of the roll coating to the deformation rate of the processed material during compression.
Journal Article
Deformation strategy of deformable mirrors for a typical zooming system
by
Zhou, Yicheng
,
Liu, Kui
,
Zhang, Mengdian
in
Deformable mirrors
,
Deformation analysis
,
Formability
2024
This paper presents a deformation strategy of deformable mirrors (DMs) for a typical zoom system. This deformation strategy provides a design method for the surface profile of zooming. It consists of mathematical model of zoom surface profile and the designing of zooming surface profiles loaded on each DM. The simulation experiments and image aberrations analysis are discussed to verify the reliability of the deformation strategy. The experimental results show that the proposed strategy exhibiting a zoom ratio of 2.0×.
Journal Article
Structure deformation and curvature sensing of PIEZO1 in lipid membranes
2022
PIEZO channels respond to piconewton-scale forces to mediate critical physiological and pathophysiological processes
1
–
5
. Detergent-solubilized PIEZO channels form bowl-shaped trimers comprising a central ion-conducting pore with an extracellular cap and three curved and non-planar blades with intracellular beams
6
–
10
, which may undergo force-induced deformation within lipid membranes
11
. However, the structures and mechanisms underlying the gating dynamics of PIEZO channels in lipid membranes remain unresolved. Here we determine the curved and flattened structures of PIEZO1 reconstituted in liposome vesicles, directly visualizing the substantial deformability of the PIEZO1–lipid bilayer system and an in-plane areal expansion of approximately 300 nm
2
in the flattened structure. The curved structure of PIEZO1 resembles the structure determined from detergent micelles, but has numerous bound phospholipids. By contrast, the flattened structure exhibits membrane tension-induced flattening of the blade, bending of the beam and detaching and rotating of the cap, which could collectively lead to gating of the ion-conducting pathway. On the basis of the measured in-plane membrane area expansion and stiffness constant of PIEZO1 (ref.
11
), we calculate a half maximal activation tension of about 1.9 pN nm
−1
, matching experimentally measured values. Thus, our studies provide a fundamental understanding of how the notable deformability and structural rearrangement of PIEZO1 achieve exquisite mechanosensitivity and unique curvature-based gating in lipid membranes.
Cryo-electron microscopy structures of PIEZO1 in liposome vesicles in curved and flattened conformations demonstrate the high deformability underlying the high mechanosensitivity and ion selectivity of PIEZO channel gating.
Journal Article
Reactive wear protection through strong and deformable oxide nanocomposite surfaces
2021
Wear-related energy and material loss cost over 2500 Billion Euro per year. Traditional wisdom suggests that high-strength materials reveal low wear rates, yet, their plastic deformation mechanisms also influence their wear performance. High strength and homogeneous deformation behavior, which allow accommodating plastic strain without cracking or localized brittle fracture, are crucial for developing wear-resistant metals. Here, we present an approach to achieve superior wear resistance via in-situ formation of a strong and deformable oxide nanocomposite surface during wear, by reaction of the metal surface with its oxidative environment, a principle that we refer to as ‘reactive wear protection’. We design a TiNbZr-Ag alloy that forms an amorphous-crystalline oxidic nanocomposite surface layer upon dry sliding. The strong (2.4 GPa yield strength) and deformable (homogeneous deformation to 20% strain) nanocomposite surface reduces the wear rate of the TiNbZr-Ag alloy by an order of magnitude. The reactive wear protection strategy offers a pathway for designing ultra-wear resistant alloys, where otherwise brittle oxides are turned to be strong and deformable for improving wear resistance.
Wear-resistant metals have long been a pursuit of reducing wear-related energy and material loss. Here the authors present the ‘reactive wear protection’ strategy via friction-induced in situ formation of strong and deformable oxide nanocomposites on a surface.
Journal Article
Skin electronics from scalable fabrication of an intrinsically stretchable transistor array
2018
A scalable process is described for fabricating skin-like electronic circuitry that can be bent and stretched while retaining desirable electronic functionality.
Electronics at a stretch
Flexible electronics have a range of potential medical applications, particularly for devices that need to integrate seamlessly with humans. But to get the most out of such systems, the circuitry ideally needs to be stretchable as well as flexible, much like human skin. Zhenan Bao and colleagues have been exploring a strategy for achieving this combination of properties using polymeric electronic materials that are intrinsically stretchable. Now they demonstrate a scalable fabrication process in which such materials can be used to produce large-area, skin-like, electronic circuitry that can be bent and stretched while retaining its desirable electronic functionality.
Skin-like electronics that can adhere seamlessly to human skin or within the body are highly desirable for applications such as health monitoring
1
,
2
, medical treatment
3
,
4
, medical implants
5
and biological studies
6
,
7
, and for technologies that include human–machine interfaces, soft robotics and augmented reality
8
,
9
. Rendering such electronics soft and stretchable—like human skin—would make them more comfortable to wear, and, through increased contact area, would greatly enhance the fidelity of signals acquired from the skin. Structural engineering of rigid inorganic and organic devices has enabled circuit-level stretchability, but this requires sophisticated fabrication techniques and usually suffers from reduced densities of devices within an array
2
,
10
,
11
,
12
. We reasoned that the desired parameters, such as higher mechanical deformability and robustness, improved skin compatibility and higher device density, could be provided by using intrinsically stretchable polymer materials instead. However, the production of intrinsically stretchable materials and devices is still largely in its infancy
13
,
14
,
15
: such materials have been reported
11
,
16
,
17
,
18
,
19
, but functional, intrinsically stretchable electronics have yet to be demonstrated owing to the lack of a scalable fabrication technology. Here we describe a fabrication process that enables high yield and uniformity from a variety of intrinsically stretchable electronic polymers. We demonstrate an intrinsically stretchable polymer transistor array with an unprecedented device density of 347 transistors per square centimetre. The transistors have an average charge-carrier mobility comparable to that of amorphous silicon, varying only slightly (within one order of magnitude) when subjected to 100 per cent strain for 1,000 cycles, without current–voltage hysteresis. Our transistor arrays thus constitute intrinsically stretchable skin electronics, and include an active matrix for sensory arrays, as well as analogue and digital circuit elements. Our process offers a general platform for incorporating other intrinsically stretchable polymer materials, enabling the fabrication of next-generation stretchable skin electronic devices.
Journal Article
Large-area, untethered, metamorphic, and omnidirectionally stretchable multiplexing self-powered triboelectric skins
2024
Large-area metamorphic stretchable sensor networks are desirable in haptic sensing and next-generation electronics. Triboelectric nanogenerator-based self-powered tactile sensors in single-electrode mode constitute one of the best solutions with ideal attributes. However, their large-area multiplexing utilizations are restricted by severe misrecognition between sensing nodes and high-density internal circuits. Here, we provide an electrical signal shielding strategy delivering a large-area multiplexing self-powered untethered triboelectric electronic skin (UTE-skin) with an ultralow misrecognition rate (0.20%). An omnidirectionally stretchable carbon black-Ecoflex composite-based shielding layer is developed to effectively attenuate electrostatic interference from wirings, guaranteeing low-level noise in sensing matrices. UTE-skin operates reliably under 100% uniaxial, 100% biaxial, and 400% isotropic strains, achieving high-quality pressure imaging and multi-touch real-time visualization. Smart gloves for tactile recognition, intelligent insoles for gait analysis, and deformable human-machine interfaces are demonstrated. This work signifies a substantial breakthrough in haptic sensing, offering solutions for the previously challenging issue of large-area multiplexing sensing arrays.
Stretchable sensor networks with multiplexing designs can result in misrecognition due to electrical signal interferences from the sensing nodes and internal circuits. Here, Shao et al. show an untethered triboelectric electronic skin with an elastic composite-based shield layer for lower misrecognition rate.
Journal Article
4D printed hydrogel scaffold with swelling-stiffening properties and programmable deformation for minimally invasive implantation
2024
The power of three-dimensional printing in designing personalized scaffolds with precise dimensions and properties is well-known. However, minimally invasive implantation of complex scaffolds is still challenging. Here, we develop amphiphilic dynamic thermoset polyurethanes catering for multi-material four-dimensional printing to fabricate supportive scaffolds with body temperature-triggered shape memory and water-triggered programmable deformation. Shape memory effect enables the two-dimensional printed pattern to be fixed into temporary one-dimensional shape, facilitating transcatheter delivery. Upon implantation, the body temperature triggers shape recovery of the one-dimensional shape to its original two-dimensional pattern. After swelling, the hydrated pattern undergoes programmable morphing into the desired three-dimensional structure because of swelling mismatch. The structure exhibits unusual soft-to-stiff transition due to the water-driven microphase separation formed between hydrophilic and hydrophobic chain segments. The integration of shape memory, programmable deformability, and swelling-stiffening properties makes the developed dynamic thermoset polyurethanes promising supportive void-filling scaffold materials for minimally invasive implantation.
3D printing has potential in designing personalised scaffolds, but minimally invasive implantation is still challenging. Here, the authors report the development of a polyurethane material with temperature triggered shape memory and water triggered deformation that allows for transcatheter delivery.
Journal Article
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
2023
This paper aims to address the problem of supervised monocular depth estimation. We start with a meticulous pilot study to demonstrate that the long-range correlation is essential for accurate depth estimation. Moreover, the Transformer and convolution are good at long-range and close-range depth estimation, respectively. Therefore, we propose to adopt a parallel encoder architecture consisting of a Transformer branch and a convolution branch. The former can model global context with the effective attention mechanism and the latter aims to preserve the local information as the Transformer lacks the spatial inductive bias in modeling such contents. However, independent branches lead to a shortage of connections between features. To bridge this gap, we design a hierarchical aggregation and heterogeneous interaction module to enhance the Transformer features and model the affinity between the heterogeneous features in a set-to-set translation manner. Due to the unbearable memory cost introduced by the global attention on high-resolution feature maps, we adopt the deformable scheme to reduce the complexity. Extensive experiments on the KITTI, NYU, and SUN RGB-D datasets demonstrate that our proposed model, termed DepthFormer, surpasses state-of-the-art monocular depth estimation methods with prominent margins. The effectiveness of each proposed module is elaborately evaluated through meticulous and intensive ablation studies.
Journal Article