IDETC2005 -85431 RECOGNITION OF INTERACTING TURNING FEATURES FOR MILL/TURN PARTS

ABSTRACT This paper focuses on efficient automatic recognition algorithms for turning features. As with other domains, recognition of interacting features is a difficult issue, because feature interaction removes faces and alters the topology of the existing turned features. This paper presents a method for efficiently recognizing both isolated (without interaction with other features) and interacting rotational features from geometrical CAD model of mill/turn parts. Additionally, the method recognizes Transient Turned Features (TTFs) that are defined as maximal axisymmetric material volumes from a nonturning feature that can be removed by turning. A TTS may not share any faces with the finished part. First, the rotational faces on a solid model are explored to extract isolated rotational features and some of the interacting ones. Then portions of the 3D model where no rotational faces can be used to recognize turning features are cut out and processed by a novel algorithm for finding their transient turning features

Berry Curvature Engineering by Gating Two-Dimensional Antiferromagnets

Recent advances in tuning electronic, magnetic, and topological properties of two-dimensional (2D) magnets have opened a new frontier in the study of quantum physics and promised exciting possibilities for future quantum technologies. In this study, we find that the dual-gate technology can well tune the electronic and topological properties of antiferromagnetic (AFM) even septuple-layer (SL) MnBi$_2$Te$_4$ thin films. Under an out-of-plane electric field that breaks $\mathcal{PT}$ symmetry, the Berry curvature of the thin film could be engineered efficiently, resulting in a huge change of anomalous Hall (AH) signal. Beyond the critical electric field, the double-SL MnBi$_2$Te$_4$ thin film becomes a Chern insulator with a high Chern number of 3. We further demonstrate that such 2D material can be used as an AFM switch via electric-field control of the AH signal. These discoveries inspire the design of low-power memory prototype for future AFM spintronic applications.Comment: 7 pages, 4 figure

Folio 06

127hlm.;bib.;ill

Competency Addiction

We seem to be addicted to competencies; we train incessantly to improve existing ones and innovate to acquire new ones. Our curriculum vitae is packed with exquisite details of competencies in great variety. Competency is distinctly and deliberately formulated away from goodness, the long-standing moral quality that grounded virtue. Virtue is about the moral conditions of being, while competency is about an amoral effectiveness. When we say one is too clever for one’s own good, we speak of a paradox of addiction: pushing adrenaline and dopamine towards the levels of harm. Business corporations and educational institutions seem to have self-selected their prestige by aligning themselves with market value and research funding, seeing them as benchmarks of competency and success. Like substance addiction, competency addiction began with genuine excitement of innovation and benefit but developed into an all-consuming desire for techno-utopias oblivious of their damage to ecology. Perhaps it is time to ask: why did we switch from virtue to competency in the first place

Folio 05

111hlm.;bib.;ill