Events: Produktion events at Chalmers University of TechnologyMon, 14 Jun 2021 11:05:49 +0200 Model Reduction and Error Control for Computational Homogenization of Transient Problems<p>Online</p><p>​Fredrik Ekre, Doctoral Student at Material and Computational Mechanics IMS, defends his doctoral thesis. Online defence.</p><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />​​Read more</a> of carbon fibres for multifunctional composites: 3D distribution and configuration of atoms<p>Online</p><p>​Marcus Johansen, Doctoral Student at Materials and manufacture IMS, presents his licentiate thesis. Online presentation.</p>​Examiner: Uta Klement, IMS<div>Supervisor: Fang Liu, IMS<br /><div>Discussion leader: Dan Zenkert, Royal Institute of Technology</div> <div><br /></div> <div><div><span style="background-color:initial"><span style="font-weight:700">Abstract</span></span></div> <div>Lightweight energy storage is a must for increased driving range of electric vehicles. “Mass-less” energy storage can be achieved by directly storing energy in structural components. In such multifunctional devices called structural composite batteries, carbon fibres carry mechanical load and simultaneously act as negative battery electrode by hosting lithium ions in its microstructure. Little is known of how the microstructure of carbon fibres is optimised for multifunctionality, and deeper understanding of the configuration and the distribution of atoms in carbon fibres is needed.</div> <div>Here synchrotron hard X-ray photoelectron spectroscopy and atom probe tomography are used to reveal the chemical states and three-dimensional distribution of atoms in commercial carbon fibres. This thesis presents the first ever guide for how to perform atom probe tomography on carbon fibres, and the first ever three-dimensional atomic reconstruction of a carbon fibre.</div> <div>The results show that the chemical states and distribution of nitrogen heteroatoms in carbon fibres affect the electrochemical performance of the fibres. Carbon fibres performed electrochemically better with higher amount of nitrogen with pyridinic and pyrrolic configurations. Additionally, the nitrogen concentration varies throughout the carbon fibre, which may suggest that the electrochemical properties also vary throughout the carbon fibre. The knowledge provided by this thesis can lead to future carbon fibre designs with enhanced electrochemical performance for multifunctional applications.</div> <div><br /></div> <div>Keywords: carbon fibres, multifunctional composites, energy storage, microstructure, heteroatoms, synchrotron, hard X-ray photoelectron spectroscopy, atom probe tomography</div> <div><br /></div> <div><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more</a></div></div> <div><br /></div></div> school 2021 (new dates)<p>Virtual Development Laboratory, laboratory, Chalmers Tvärgata 4C, M-huset</p><p>The event in April unfortunately had to be cancelled due to Covid-19. We are now planning for CAM2 Summer School 24-26 August, 2021. More information later this spring.</p><div>​<div><span style="background-color:initial">CAM<sup>2</sup> offers a Sp​ring School where you get a basic understanding of additive manufacturing (AM) as the industrial method for prototyping and manufacture of advanced metal parts. </span></div> <div><span style="background-color:initial">The aim of this seminar is to establish basic understanding of additive manufacturing (AM) as the industrial method for prototyping and manufacture of advanced metal parts. </span><br /></div> <div><span style="background-color:initial">The course covers:</span><br /></div> <div><ul><li><span style="background-color:initial">Overview of AM technologies</span></li> <li>Pre- and Post-AM treatment </li></ul></div> <div>The main focus is placed on powder bed metal additive manufacturing technologies, covering hardware design, powder properties, material properties and post-processing.<span style="display:inline-block"></span><br /></div></div> <br /> hybrid modeling of defects in an ultrasonic inspection situation<p>Jupiter, university building, Hörselgången 5, Campus Lindholmen</p><p>​Maria Semenova, Doctoral Student at Engineering Materials IMS, presents her licentiate thesis. ​</p>​<span style="background-color:initial">Examiner: Håkan Wirdelius, IMS​</span><div><span></span></div> Discussion leader: Jonathan Westlund, Volvo Cars Data to Decision Support in Manufacturing<p>Virtual Development Laboratory, laboratory, Chalmers Tvärgata 4C, M-huset</p><p>​Maja Bärring, Production Systems IMS, defends her doctoral thesis.</p><div>Examiner: Johan Stahre, IMS</div> <span style="background-color:initial">Supervisor: Björn Johansson, IMS ​</span>​<div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">Opponent:  </span><span style="background-color:initial">Assistant Professor Thorsten Wuest, Smart Manufacturing, J. Wayne and Kathy Richards Faculty Fellow in Engineering, West Virginia University, USA.</span><div><br /><span style="background-color:initial"></span><div><span style="background-color:initial">Grading Committee:  </span></div> <div><span style="background-color:initial"></span><span style="background-color:initial">Dr Ram Sriram, chief Software and Systems Division, Information Technology Laboratory, National Institute of Standards and Technology, USA.</span></div> <div>Professor Charlotta Johnsson, Professor at Department of Automatic Control, Lund University, Sweden.</div> <div>Professor Amos Ng, School of Engineering Science, University of Skövde, Sweden.</div> <div><span style="background-color:initial">Deputy member:</span><span style="background-color:initial"> </span><span style="background-color:initial">Professor Martin Fabian, Head of the Automation research group at the Department of Electrical Engineering, Chalmers University of Technology, Sweden</span><br /></div> <div><br /></div></div></div>