6 research outputs found

    LabVIEW application with embedded Lua scripting for a laser based measuring machine

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    Published ArticleThis paper presents the work on the development of software for an industrial laser based measuring machine. The goal being not only for a working application, but also to optimise the development process and ease future maintenance of the software. LabVIEW with its graphical method of programming allows engineers to easily create large software applications to control industrial processes and machines. This software if not properly designed can lead to stability and maintenance problems. The experience gained from developing, maintaining and improving a LabVIEW application for a laser measuring machine, results in the integration of the Lua scripting language into LabVIEW. It is shown how the embedded Lua allows the LabVIEW software application for the machine to be structured for simpler development and maintenance

    KNOWLEDGE-BASED ROBOT VISION SYSTEM FOR AUTOMATED PART HANDLING

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    <p>ENGLISH ABSTRACT: This paper discusses an algorithm incorporating a knowledge-based vision system into an industrial robot system for handling parts intelligently. A continuous fuzzy controller was employed to extract boundary information in a computationally efficient way. The developed algorithm for on-line part recognition using fuzzy logic is shown to be an effective solution to extract the geometric features of objects. The proposed edge vector representation method provides enough geometric information and facilitates the object geometric reconstruction for gripping planning. Furthermore, a part-handling model was created by extracting the grasp features from the geometric features.</p><p>AFRIKAANSE OPSOMMING: Hierdie artikel beskryf ‘n kennis-gebaseerde visiesisteemalgoritme wat in ’n industriёle robotsisteem ingesluit word om sodoende intelligente komponenthantering te bewerkstellig. ’n Kontinue wasige beheerder is gebruik om allerlei objekinligting deur middel van ’n effektiewe berekeningsmetode te bepaal. Die ontwikkelde algoritme vir aan-lyn komponentherkenning maak gebruik van wasige logika en word bewys as ’n effektiewe metode om geometriese inligting van objekte te bepaal. Die voorgestelde grensvektormetode verskaf voldoende inligting en maak geometriese rekonstruksie van die objek moontlik om greepbeplanning te kan doen. Voorts is ’n komponenthanteringsmodel ontwikkel deur die grypkenmerke af te lei uit die geometriese eienskappe.</p&gt

    Application of digital process simulation on an automotive production line

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    Published ArticleThis paper presents the work on the development of a digital simulation model for the transportation line in a local automotive manufacturing plant. It describes a structured procedure of data collection, digital design, model building, activity creation, and process simulation using simulation tool Delmia. Based on the digital simulation model, new alternative concepts of production line planning strategy can be easily integrated into the model to evaluate the cycle time/cost and to optimise the production line. The demonstration result indicates that digital simulation can be used as a powerful tool to reduce planning risk, identify material flow bottlenecks, and to improve throughput and knowledge share within the company

    Foliar pathogens of eucalypts

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    Species of eucalypts (Eucalyptus, Corymbia) are commonly cultivated for solid wood and pulp products. The expansion of commercially managed eucalypt plantations has chiefly been driven by their rapid growth and suitability for propagation across a very wide variety of sites and climatic conditions. Infection of foliar fungal pathogens of eucalypts is resulting in increasingly negative impacts on commercial forest industries globally. To assist in evaluating this threat, the present study provides a global perspective on foliar pathogens of eucalypts. We treat 110 different genera including species associated with foliar disease symptoms of these hosts. The vast majority of these fungi have been grown in axenic culture, and subjected to DNA sequence analysis, resolving their phylogeny. During the course of this study several new genera and species were encountered, and these are described. New genera include: Lembosiniella (L. eucalyptorum on E. dunnii, Australia), Neosonderhenia (N. eucalypti on E. costata, Australia), Neothyriopsis (N. sphaerospora on E. camaldulensis, South Africa), Neotrichosphaeria (N. eucalypticola on E. deglupta, Australia), Nothotrimmatostroma (N. bifarium on E. dalrympleana, Australia), Nowamyces (incl. Nowamycetaceae fam. nov., N. globulus on E. globulus, Australia), and Walkaminomyces (W. medusae on E. alba, Australia). New species include (all from Australia): Disculoides fraxinoides on E. fraxinoides, Elsinoe piperitae on E. piperita, Fusculina regnans on E. regnans, Marthamyces johnstonii on E. dunnii, Neofusicoccum corticosae on E. corticosa, Neotrimmatostroma dalrympleanae on E. dalrympleana, Nowamyces piperitae on E. piperita, Phaeothyriolum dunnii on E. dunnii, Pseudophloeospora eucalyptigena on E. obliqua, Pseudophloeospora jollyi on Eucalyptus sp., Quambalaria tasmaniae on Eucalyptus sp., Q. rugosae on E. rugosa, Sonderhenia radiata on E. radiata, Teratosphaeria pseudonubilosa on E. globulus and Thyrinula dunnii on E. dunnii. A new name is also proposed for Heteroconium eucalypti as Thyrinula uruguayensis on E. dunnii, Uruguay. Although many of these genera and species are commonly associated with disease problems, several appear to be opportunists developing on stressed or dying tissues. For the majority of these fungi, pathogenicity remains to be determined. This represents an important goal for forest pathologists and biologists in the future. Consequently, this study will promote renewed interest in foliar pathogens of eucalypts, leading to investigations that will provide an improved understanding of the biology of these fungi

    Foliar pathogens of eucalypts

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