Iterative Learning Control for Milling with Industrial Robots in Advanced Manufacturing

The demand of today for advanced manufactured parts with high precision is due to the increasing complexity of technologies. The parts are typically made by CNC (Computer Numerical Control) machines, which are expensive and comparably big. By using industrial robots that are significantly cheaper, reduced costs can be achieved, which is particularly beneficial for small and medium enterprises. Robots are, however, less stiff and strong and are less accurate compared to the CNC machines. In this thesis, the idea was that by designing a controller, this could be compensated for so that the robot could perform machining with high precision. The research made in this thesis was part of the EU co-funded research project COMET. The robot task was to repeatedly mill parts with improved results. Iterative Learning Control (ILC) was therefore chosen as a suitable control strategy for this task. It uses the position error from previous iterations and adds it to the control signal to converge the output to successful results. Results showed that when using ILC for tracking paths, the position error could be reduced with approximately 11-20% in x, y, and z directions after one iteration

ERPeL - Blended Learning in der ERP-Lehre

In diesem Heft wird beschrieben, wie ein traditioneller Kurs zum Thema Enterprise Resource Planning (ERP)-Systeme im Zuge des Projektes ERPeL in einen Blended Learning-Kurs transformiert wurde. Dazu wird der als Grundlage des Kurses verwendete multiperspektivische Ansatz zur Betrachtung von ERP-Systemen vorgestellt und die Wahl der Blended Learning-Form motiviert. Die einzelnen Phasen innerhalb des ERPeL-Projektes werden erläutert und anhand eines Beispiels die Umsetzung des erläuterten Konzeptes im ERPeL-Kurs gezeigt.This article presents how a traditional course on Enterprise Resource Planning (ERP)-systems is transformed into a Blended Learning course as main part of the ERPeL-project. Thus, the multiperspective approach on ERP-systems used as basis for the course is introduced and the reasons for chosing a Blended Learning-approach are given. The phases performed during the ERPeL-project are explained and on the basis of an example the implementation of the introduced concept in the ERPeL-course is show

The Vehicle, 1965, Vol. 7

Vol. 7 Table of Contents CommentaryElaine Lancepage 3 Lost Island and The Unseen SeaDaun Alan Leggpage 5 ElegyWilliam Mosierpage 6 AwayDavid Dixpage 7 DulceyRoberta Mathewspage 8 Alarum Tuam JonneDavid Walkerpage 11 Little BrotherSteve Gibbspage 13 River RunningDaun Alan Leggpage 15 PortraitRobert D. Thomaspage 16 The RockRoger Lewis Hudsonpage 17 Jarman HospitalElaine Lancepage 18 Of Domes and DiamondsDwight Ashbypage 19 Friday NightRoger J. Barrypage 20 MurderHelen Coxpage 23 Vigil SongDaun Alan Leggpage 24 Had You But Been the OneDavid Helmpage 25 To A Useless WeaponDarlene Brewerpage 25 Out of the NightPat Hartpage 26 La MortAdrian Beardpage 28 Mrs. Milton\u27s LamentBob Millerpage 30 Cockle CoveSusan McCabepage 31 Loss of VirtueJim Rinnertpage 32 The KeepsakeDwight Ashbypage 33 The RuinsRoger Lewis Hudsonpage 35 Ante Major OdysseyDaun Alan Leggpage 38 ReligionAnthony Barrettepage 39 All JoyJim Rinnertpage 40 SesameElaine Lancepage 40 CenterpieceDwight Ashbypage 41 A Great White WaveJohn Rhodespage 42 QueryElaine Lancepage 44 PistachioRita Salyerspage 45 FacadeKathleen McCormackpage 46 Winter Wisp AwaySteve Gibbspage 46 ScenarioDavid Dixpage 47 Damn-GodSteve Gibbspage 48 AccidentElaine Lancepage 48https://thekeep.eiu.edu/vehicle/1013/thumbnail.jp

The Vehicle, 1964, Vol. 6

Vol. 6 Table of Contents Milepostspage 2 John Fitzgerald Kennedy Memorial Pagepage 4 Sadness No. 4 (Sorgen)Sherry S. Frypage 5 Christian BurialRoger J. Barrypage 7 The World of BeautyDavid Helmpage 9 The Song of the LarksDon Kapraunpage 10 ContrastKeith Haierpage 13 PanoramaDaun Alan Leggpage 13 A Child\u27s View of DeathCherie Brondellpage 14 RegretLiz Puckettpage 16 Brutal WarMary H. Soukuppage 17 aloneLiz Puckettpage 18 MadgeLinda Galeypage 19 Moon WatchingJoel E. Hendrickspage 20 AnalysisLiz Puckettpage 21 UniverseRick Talleypage 21 Anyone Can Be A LuniticRick Towsonpage 22 I, Too, Have A Rendezvous with DeathElaine Lancepage 23 The ReturnRobert D. Thomaspage 24 NamesLarry Gatespage 25 Eternal MomentsDavid Helmpage 25 The Last DaysPauline B. Smithpage 26 BeliefRichard J. Wiesepage 27 StormPauline B. Smithpage 28 ExplosionLiz Puckettpage 29 Autumn EveJoel E. Hendrickspage 29 The Girl On the White PonyLarry Gatespage 31 HoffnungTerry Michael Salempage 33 Stone WallsDaun Alan Leggpage 34 AdorationGail M. Barenfangerpage 37 MirageRoy L. Carlsonpage 38 Nature and NonsenseRick Talleypage 39 A Step Through A Looking GlassMarilyn Henrypage 40 Thoughts of a Summer PastPauline B Smithpage 42 Indiana GrassLarry Gatespage 43 RedondillaRoberta Matthewspage 44 Summer LoveDaun Alan Leggpage 45 To Youth Reaching For MaturityDavid Helmpage 45 Thanksgiving DayJoel E. Hendrickspage 46 Sadness No. 6 (Schatten)Sherry S. Frypage 48https://thekeep.eiu.edu/vehicle/1012/thumbnail.jp

Contributions to OH reactivity from unexplored volatile organic compounds measured by PTR-ToF-MS - A case study in a suburban forest of the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ) 2016

We report OH reactivity observations by a chemical ionization mass spectrometer–comparative reactivity method (CIMS-CRM) instrument in a suburban forest of the Seoul metropolitan area (SMA) during the Korea–United States Air Quality Study (KORUS-AQ 2016) from mid-May to mid-June of 2016. A comprehensive observational suite was deployed to quantify reactive trace gases inside of the forest canopy including a high-resolution proton transfer reaction time-of-flight mass spectrometer (PTR-ToF-MS). An average OH reactivity of 30:75:1 s1 was observed, while the OH reactivity calculated from CO, NOCNO2 (NOx ), ozone (O3), sulfur dioxide (SO2), and 14 volatile organic compounds (VOCs) was 11:81:0 s1. An analysis of 346 peaks from the PTR-ToF-MS accounted for an additional 6:02:2 s1 of the total measured OH reactivity, leaving 42.0% missing OH reactivity. A series of analyses indicate that the missing OH reactivity most likely comes from VOC oxidation products of both biogenic and anthropogenic origin.This research has been supported by NASA (grant no. NNX15AT90G), the National Institute of Environmental Research (NIER-RP0219-152) of South Korea, and the Brain Pool Program of the National Research Foundation Korea (NRF) funded by the Ministry of Science and ICT (no. 2020H1D3A2A01060699).Peer reviewe

Processing of thick section epoxy powder composite structures

The use of epoxy powder as the primary matrix in thick fibre-reinforced composite parts is investigated. The characteristics of three epoxy powders are assessed using several experimental techniques, focusing on their curing behaviour. At least one epoxy powder is shown to have advantageous characteristics for manufacturing thick-section composites. Material models are developed which can describe the processing behaviour (cure kinetics, viscosity change, etc.) of an epoxy powder. The cure kinetics model makes use of an additional rate constant to better describe the rate of cure at both high and low temperatures. The chemorheological model is based on an existing model for toughened epoxies. A one-dimensional simulation tool for manufacturing thick-section composite laminates is developed in MATLAB. The simulation tool employs a resin flow model for vacuum-bag-only prepregs to describe the infusion process and subsequent thickness change. This thickness change is coupled to a model for through-thickness heat transfer which can be solved numerically for various thermal boundary conditions. The model is used to explore the suitability of epoxy powders for the manufacturing thick-section composite structures. The aforementioned simulation tool is validated against experimental results for thick-section composite laminates. The experiments are carried out using a modified heated tool and test apparatus which apply known thermal boundary conditions. A linear variable differential transformer is used to measure the thickness change of each laminate during testing, while thermocouples are used to measure the temperatures at various positions within each laminate. The results of the tests show good agreement with the one-dimensional simulation tool. Additional simulations are performed to investigate the influence of material format, thickness change, and heating methods. Methods for reducing thermal and cure gradients are explored also. A method is outlined for implementing the process models within commercial finite element software, Abaqus FEA. User subroutines for heat transfer and thermal expansion are used to define the various process models. One-dimensional simulations are validated, and a convergence study is performed on time step size and element size. Simulations show the effect of in-plane heating for glass-fibre and carbon-fibre laminates, and the processing of a wind turbine blade root section is investigated. Overall, it is shown that thick-section composite structures can be manufactured using a low-cost commodity epoxy powder from the coating industry, and that these structures do not suffer from the risk of uncontrolable thermal events

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

Optimal Multilevel Monte Carlo Algorithms for Parametric Integration and Initial Value Problems

We intend to find optimal deterministic and randomized algorithms for three related problems: multivariate integration, parametric multivariate integration, and parametric initial value problems. The main interest is concentrated on the question, in how far randomization affects the precision of an approximation. We want to understand when and to which extent randomized algorithms are superior to deterministic ones. All problems are studied for Banach space valued input functions. The analysis of Banach space valued problems is motivated by the investigation of scalar parametric problems; these can be understood as particular cases of Banach space valued problems. The gain achieved by randomization depends on the underlying Banach space. For each problem, we introduce deterministic and randomized algorithms and provide the corresponding convergence analysis. Moreover, we also provide lower bounds for the general Banach space valued settings, and thus, determine the complexity of the problems. It turns out that the obtained algorithms are order optimal in the deterministic setting. In the randomized setting, they are order optimal for certain classes of Banach spaces, which includes the L_p spaces and any finite dimensional Banach space. For general Banach spaces, they are optimal up to an arbitrarily small gap in the order of convergence