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Kemal Açıkgöz
E-mail
akemala@metu.edu.tr
Department
Department of Mechanical Engineering
ORCID
0000-0001-7046-559X
Scopus Author ID
55502200400
Web of Science Researcher ID
ABA-1479-2020
Publications
Theses Advised
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Projects
On the Performance of Isotropic Hyperelastic Constitutive Models for Rubber-Like Materials: A State of the Art Review
Dal, Hüsnü; Açıkgöz, Kemal (2021-03-01)
Besides the well-known landmark models for the hyperelastic response of rubberlike materials, many new hyperelastic constitutive models have emerged over the last decade. Despite many reviews on constitutive modeling or el...
An extended eight-chain model for hyperelastic and finite viscoelastic response of rubberlike materials: Theory, experiments and numerical aspects
Dal, Hüsnü; Açıkgöz, Kemal (Elsevier BV, 2020-12-01)
Rubberlike materials exhibit strong rate-dependent mechanical response which manifests itself in creep and relaxation tests as well as in the hysteresis curves under cyclic loading. Unlike linear viscoelasticity, creep and...
Dynamic Movement Primitives and Force Feedback: Teleoperation in Precision Grinding Process
Açıkgöz, Kemal; Dönder, Abdülhamit; Ugurlu, Musab Cagri; Konukseven, Erhan İlhan (2017-12-02)
In this work, the Dynamic Movement Primitives (DMPs) concept for teleoperation on a robotic deburring machine is investigated. The correspondence problem occurs when human link and joint structures are different than targe...
A Novel Parameter Identification Toolbox for the Selection of Hyperelastic Constitutive Models from Experimental Data
Dal, Hüsnü; Açıkgöz, Kemal (2017-10-13)
This paper presents a novel parameter identification toolbox based on various multi-objective optimization strategies for the selection of the best constitutive models from a given set of homogeneous experiments. The toolb...
Parametrization of Robotic Deburring Process with Motor Skills from Motion Primitives of Human Skill Model
Parvizi, Payam; Ugurlu, Musab Cagri; Açıkgöz, Kemal; Konukseven, Erhan İlhan (2017-08-31)
In this paper, a new method for learning robotic deburring process motor skills from human skill model is presented. The skill of a human expert is obtained by using the human skill model. This model is implemented in robo...
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