A Method of Body Parts Force Displacements Calculation of Metal-Cutting Machine Tools Using CAD and CAE Technologies

Chetverzhuk, Taras; Zabolotnyi, Oleg; Sychuk, Viktor; Polinkevych, Roman; Tkachuk, Anatolii

doi:10.33166/aetic.2019.04.004

Cited by 7 publications

(4 citation statements)

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“…Structural optimization issues are also well investigated [3, 8, 10-12, 14, 15, 18]. Some studies are devoted to automating various design tasks [16,[19][20][21][22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

“…The stages "Generation of versions of the system structure", "Evaluation of versions of the system structure", and "Determination of the best version of the system structure" are implemented using the appropriate known methods of structural optimization. There are two groups of methods for this purpose: complete search and directed search [10][11][12][13][14][15][16].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In particular, designers can widely use CAD, CAM, and CAE technologies to create 3D models of equipment and its elements or execution of some standard calculations of equipment parameters [16,17].…”

Section: Literature Reviewmentioning

confidence: 99%

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Automation of Optimization Synthesis for Modular Technological Equipment

Zaleta

Povstyanoy

Ribeiro

et al. 2023

JES

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Technological equipment design based on functionally modular methods is widely used in various technical fields. The designed object can be a technological machine, a production line, or a manufacturing complex. Special attention is paid to the optimization of its structure. The sequence of performing all stages of the optimization synthesis problem is presented in the article. To find a solution to this task, the developer should apply the complete or directed search of acceptable structure options and determine the best one using some optimization criteria to evaluate their quality. It can be simple enough if the designed technical system structure consists of no more than several elements. For example, if the number of alternative elements options is several dozen, it takes much time to accomplish the search correctly. Thus, the greater the number of components considered, the more difficult it is to do all the necessary calculations manually. In this case, machine resources should be involved. This scientific work aims to identify procedures of optimization synthesis that can be automated. Also, appropriate software has to be developed. Our computer program is based on the algorithm of a complete search of all options of the technical system structure. It can process an extensive array of input data and produce all possible and logically permissible results in the form the designer can analyze using the Pareto method to choose the best one. This software can be used for any technical system with a modular structure.

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“…Structural optimization issues are also well investigated [3, 8, 10-12, 14, 15, 18]. Some studies are devoted to automating various design tasks [16,[19][20][21][22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Automation of Optimization Synthesis for Modular Technological Equipment

Zaleta

Povstyanoy

Ribeiro

et al. 2023

JES

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“…This algorithm can be implemented in the camera module using a specially designed camera frame based on already defined research that includes the application of CAD, neural networks and IOT [24][25][26].…”

Section: Discrete 2d Wavelet Transformation Of An Imagementioning

confidence: 99%

Real Time Identification of Railway Track Surface Faults using Canny Edge Detector and 2D Discrete Wavelet Transform

Shah¹,

Chowdhry²,

Memon³

et al. 2020

AETiC

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Usually, railway accidents are caused by train derailment, the mechanical failure of tracks, such as broken rails often caused by lack of railway condition monitoring. Such monitoring could identify track surface faults, such as squats, that act as a catalyst for the track to crack and ultimately break. The research presented in this paper enables real-time identification of railway track faults using image processing techniques such as Canny edge detection and 2D discrete wavelet transformation. The Canny edge detection outperforms traditional track damage detection techniques including Axle Based Acceleration using Inertial Measurement Units and is as reliable as Fiber Bragg Grating. The Canny edge detection employed can identify squats in real-time owing to its specific threshold amplitude using a camera module mounted on a specially designed handheld Track Recording Vehicle (TRV). The 2D discrete wavelet transformation validates the insinuation of the Canny edge detector regarding track damage and furthermore determines damage severity, by applying high sub band frequency filter. The entire algorithm works on a Raspberry Pi 3 B+ utilizing an OpenCV API. When tested using an actual rail track, the algorithm proved reliable at determining track surface damage in real-time. Although wavelet transformation performs better than Canny edge detection in terms of determining the severity of track surface damage, it has processing overheads that become a bottleneck in real-time. To overcome this deficiency a very effective two-stage process has been developed.

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