2015
DOI: 10.1016/j.protcy.2015.02.004
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Mixed CAD Method to Develop Gear Surfaces Using the Relative Cutting Movements and NURBS Surfaces

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Cited by 11 publications
(13 citation statements)
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“…Egy ehhez hasonló modellezési eljárást javasoltunk [1] "vegyes CAD eljárás" megnevezéssel. A megnevezés a merevtestkivonás módszerének relatív mozgásait és az utólagos CAD modellezési eljárások ötvözését igyekszik lefedni.…”
Section: Bevezetőunclassified
“…Egy ehhez hasonló modellezési eljárást javasoltunk [1] "vegyes CAD eljárás" megnevezéssel. A megnevezés a merevtestkivonás módszerének relatív mozgásait és az utólagos CAD modellezési eljárások ötvözését igyekszik lefedni.…”
Section: Bevezetőunclassified
“…The virtual solid or surface models of gears [1,2,3,4,5,6,7,9], virtual gearing [8,9] or virtual manufacturing process studies of the gears [3] are the less expensive methods to develop and study new gearing solutions. Working in virtual environment needs specific models (solid, surface, assembly, FEA etc.)…”
Section: Introductionmentioning
confidence: 99%
“…The authors of the present paper have proposed a mixed CAD method to generate gears and other surface models, based also on the relative movement between the workpiece and the cutting tool [6,7]. A software was developed to realize various combination of circular and linear motions of the tool and workpiece gear, proper to simulate the complex movements of the real gear generating process.…”
Section: Introductionmentioning
confidence: 99%
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“…For example, papers [5], [6], [7], [8] show the use of different discreet additive-or subtractive gear generating methods or the relative cutting motion of the generating edge to build up the necessary points clouds. The surfaces obtained with the method proposed by the authors of the present paper (under continuous development) [6,7], even if they are NURBS surfaces, present some inconsistencies but under controlled charge of error. The precision depends on the length of the finite linear motions and the value of the finite rotations characterizing the discreet generating process.…”
Section: Introductionmentioning
confidence: 99%