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You searched for +publisher:"Drexel University" +contributor:("Visell, Yon"). Showing records 1 – 2 of 2 total matches.

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Drexel University

1. Janko, Marco A. Modeling of frictional forces during bare-finger interactions with solid surfaces.

Degree: 2017, Drexel University

Touching an object with our fingers yields frictional forces that allow us to perceive and explore its texture, shape, and other features, facilitating grasping and manipulation. While the relevance of dynamic frictional forces to sensory and motor function in the hand is well established, the way that they reflect the shape, features, and composition of touched objects is poorly understood. Haptic displays -electronic interfaces for stimulating the sense of touch- often aim to elicit the perceptual experience of touching real surfaces by delivering forces to the fingers that mimic those felt when touching real surfaces. However, the design and applications of such displays have been limited by the lack of knowledge about what forces are felt during real touch interactions. This represents a major gap in current knowledge about tactile function and haptic engineering. This dissertation addresses some aspects that would assist in their understanding. The goal of this research was to measure, characterize, and model frictional forces produced by a bare finger sliding over surfaces of multiple shapes. The major contributions of this work are (1) the design and development of a sensing system for capturing fingertip motion and forces during tactile exploration of real surfaces; (2) measurement and characterization of contact forces and the deformation of finger tissues during sliding over relief surfaces; (3) the development of a low order model of frictional force production based on surface specifications; (4) the analysis and modeling of contact geometry, interfacial mechanics, and their effects in frictional force production during tactile exploration of relief surfaces. This research aims to guide the design of algorithms for the haptic rendering of surface textures and shape. Such algorithms can be used to enhance human-machine interfaces, such as touch-screen displays, by (1) enabling users to feel surface characteristics also presented visually; (2) facilitating interaction with these devices; and (3) reducing the need for visual input to interact with them.

Ph.D., Electrical Engineering  – Drexel University, 2017

Advisors/Committee Members: Stamm, Matthew, Visell, Yon, College of Engineering.

Subjects/Keywords: Electrical engineering; Touch sensors; Haptic devices; Computer input-output equipment – Design; Tribology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Janko, M. A. (2017). Modeling of frictional forces during bare-finger interactions with solid surfaces. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Janko, Marco A. “Modeling of frictional forces during bare-finger interactions with solid surfaces.” 2017. Thesis, Drexel University. Accessed March 23, 2019. http://hdl.handle.net/1860/idea:7591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Janko, Marco A. “Modeling of frictional forces during bare-finger interactions with solid surfaces.” 2017. Web. 23 Mar 2019.

Vancouver:

Janko MA. Modeling of frictional forces during bare-finger interactions with solid surfaces. [Internet] [Thesis]. Drexel University; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1860/idea:7591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janko MA. Modeling of frictional forces during bare-finger interactions with solid surfaces. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Li, Bin. Soft Tactile Sensors for Mechanical Imaging.

Degree: 2016, Drexel University

Tactile sensing aims to electronically capture physical attributes of an object via mechanical contact. It proves indispensable to many engineering tasks and systems, in areas ranging from manufacturing to medicine and autonomous robotics. Biological skin, which is highly compliant, is able to perform sensing under challenging and highly variable conditions with levels of performance that far exceed what is possible with conventional tactile sensors, which are normally fabricated with non-conforming materials. The development of stretchable, skin-like tactile sensors has, as a result, remained a longstanding goal of engineering. However, to date, artificial tactile sensors that might mimic both the mechanical and multimodal tactile sensory capabilities of biological skin remain far from realization, due to the challenges of fabricating spatially dense, mechanically robust, and compliant sensors in elastic media. Inspired by these demands, this dissertation addresses many aspects of the challenging problem of engineering skin-like electronic sensors. In the first part of the thesis, new methods for the design and fabrication of thin, highly deformable, high resolution tactile sensors are presented. The approach is based on a novel configuration of arrays of microfluidic channels embedded in thin elastomer membranes. To form electrodes, these channels are filled with a metal alloy, eutectic Gallium Indium, that remains liquid at room temperature. Using capacitance sensing techniques, this approach achieves sensing resolutions of 1 mm-1. To fabricate these devices, an efficient and robust soft lithography method is introduced, based on a single step cast. An analytical model for the performance of these devices is derived from electrostatic theory and continuum mechanics, and is demonstrated to yield excellent agreement with measured performance. This part of the investigation identified fundamental limitations, in the form of nonmonotonic behavior at low strains, that is demonstrated to generically affect solid cast soft capacitive sensors. The next part of the thesis is an investigation of new methods for designing soft tactile sensors based on multi-layer heterogeneous 3D structures that combine active layers, containing embedded liquid metal electrodes, with passive and mechanically tunable layers, containing air cavities and micropillar geometric supports. In tandem with analytical and computational modeling, these methods are demonstrated to facilitate greater control over mechanical and electronic performance. A new soft lithography fabrication method is also presented, based on the casting, alignment, and fusion of multiple functional layers in a soft polymer substrate. Measurements indicate that the resulting devices achieve excellent performance specifications, and avoid the limiting nonmonotonic behavior identified in the first part of the thesis. In order to demonstrate the practical utility of the devices, we used them to perform dynamic two-dimensional tactile imaging under… Advisors/Committee Members: Visell, Yon, Fontecchio, Adam, College of Engineering.

Subjects/Keywords: Educational leadership; Biosensors; Sensor networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, B. (2016). Soft Tactile Sensors for Mechanical Imaging. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7276

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Bin. “Soft Tactile Sensors for Mechanical Imaging.” 2016. Thesis, Drexel University. Accessed March 23, 2019. http://hdl.handle.net/1860/idea:7276.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Bin. “Soft Tactile Sensors for Mechanical Imaging.” 2016. Web. 23 Mar 2019.

Vancouver:

Li B. Soft Tactile Sensors for Mechanical Imaging. [Internet] [Thesis]. Drexel University; 2016. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1860/idea:7276.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li B. Soft Tactile Sensors for Mechanical Imaging. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:7276

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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