GPS training tool

Humienny, Zbigniew; Berta, Marcin

doi:10.1016/j.procir.2020.04.142

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…The development of new methods in the metrology of manufactured products has made it possible to measure dimensional accuracy through modern measuring machines. This process aims to verify that the manufactured product conforms to the designed shape [17][18][19]. The most significant development and most comprehensive application is in modern optical methods.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Deviations for Horizontal Thin Walls Determined by Optical and Contact Methods for Milled Samples of Nickel Alloy Inconel 625

Kurpiel,

Zagórski,

Cieślik

et al. 2024

Applied Sciences

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The aerospace industry is imposing increasingly strict dimensional tolerances, which is forcing continuous development in component manufacturing. Ensuring tight dimensional tolerances is difficult for thin-walled structures due to their reduced stiffness, which are increasingly used in the aerospace industry, where titanium alloys and nickel alloys, among others, dominate. Developments in this area are causing a search for machining conditions that provide sufficient quality characteristics including dimensional and shape accuracy. We discuss, herewith, thin wall deformations in the horizontal orientation of Inconel 625 nickel alloy samples in cross-sections perpendicular and parallel to the direction of tool feed motion. We measured dimensional and shape accuracy using a 3D optical scanner and also using a coordinate measuring machine to correlate these results. We compared the results obtained by the two methods and obtained the maximum discrepancy of the results equal to around 8%. Samples made with adaptive cylindrical milling had similar values of thin wall deviations, with the smallest deviations observed for the sample made with the tool for high-performance machining using adaptive cylindrical milling.

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Section: Introductionmentioning

confidence: 99%