A novel process chain for the automated repair of leading edges in aircraft engines

Kenneweg, Robert; Heide, Klaas Maximilian; Böß, Volker; Denkena, Berend; Westermann, Hans-Henrik

doi:10.1007/s11740-023-01233-3

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Traditionally, the method of monitoring the accuracy of blades is the contact measurement method on a coordinate measuring machine, but low efficiency significantly limits its use in the production line [8]. Optical measurement methods such as laser, scanner, and structured light 3D scanner have been commonly used [9][10][11][12][13][14][15]. Checking the surface quality of products based on point clouds is an area that is in demand and extremely necessary for modern digital manufacturing.…”

Section: Introductionmentioning

confidence: 99%

A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Pivkin,

Ershov,

Grechishnikov

et al. 2024

Optics, Photonics, and Digital Technologies for Imaging Applications VIII

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Solving the problem of reverse engineering as a key element of the production process and its technological preparation has a key role. This work demonstrates for the first time the possibility of preparing production and collecting key indicators, which allows you to recreate a digital twin of the technological process and display the technological aspects of the design as a result of collecting key indicators. Such indicators include the width of the cut layer, the cutting zone of a conical cutter during multi-axis positioning, obtained based on the results of processing a group of images of processed products. Actual technological indicators of the technological process can be identified and numerically formalized by assessing the shape of the helical surface on a class of parts obtained as a result of multi-coordinate processing, which proves the possibility of applied application of the method in the structure of the production process in real time. As a result, the use of a new algorithm will reduce the likelihood of receiving defective products and recreate the technological process based on processing a set of product images. The work constructs an analytical model for the automated creation of processing paths based on improved B-splines, which can significantly improve smoothness compared to numerical methods for generating paths. The actual technological indicators of the machining process can be identified and numerically formalized dependencies by determining the influence of the helical surface on the precise positioning of the end mill with compensation along each axis during 5-axis machining, obtained as a result of multi-axis machining, which proves the possibility of applied application of the method in the production process in the mode real time.

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Section: Introductionmentioning

confidence: 99%

A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Pivkin,

Ershov,

Grechishnikov

et al. 2024

Optics, Photonics, and Digital Technologies for Imaging Applications VIII

View full text Add to dashboard Cite

show abstract

“…To measure at the first time instant, a plurality of sensors are configured in the processing system, as well as many control components and actuators to create an online monitoring system [68], for example, to collect sensors at the first time instant [69]. For external control and accuracy control of helical surface of parts, image and processing methods and instruments such as laser, scanner and 3D structured light scanner are used [70][71][72][73][74][75].…”

Section: Introductionmentioning

confidence: 99%

Digital twin of the technological process for grinding helical flutes of a cutting tool

Pivkin

2024

Real-Time Processing of Image, Depth, and Video Information 2024

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Helical flutes are the most important elements of axial cutting tools. The technological process for manufacturing helical flutes is multifactorial, complex and difficult to quickly calculate online. The production of flutes is carried out on a multiaxis grinding machine with a conical or cylindrical grinding wheel. The task is also complicated by the fact that in more than one section the shape of the helical flute does not match the grinding wheel. Therefore, the development of technology and its preparation requires a long time. The work proposes a digital twin for the production of helical flutes with the input results of processing 40 variants of technological processes and compares them with the results of processing images of helical surfaces in real time. The work for the first time established an analytical connection between the shape of the grinding wheel, the geometry of the front helical surface of the cutter, the trajectory of movement and the location of the wheel, structured into a system of signals from sensors with a controlled monitoring effect per unit of time. This made it possible to install real-time control indicators to assess accuracy in the processing area and, based on the indicator, to form a control action to ensure the production of suitable products. This work allows us to lay the crating for a new direction in the field of industrial production of cutting tools. The use of real-time data in the current time window to evaluate future spatio-temporal information of the process state makes it possible to continuously adjust the movement of the grinding wheel with a given error and deviation, which is ensured by a continuous analytical solution that takes into account the basic geometric parameters of the cutter and the grinding wheel.

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A novel process chain for the automated repair of leading edges in aircraft engines

Cited by 2 publications

References 20 publications

A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Digital twin of the technological process for grinding helical flutes of a cutting tool

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