Application of Artificial Intelligence to an Electrical Rewinding Factory Shop

Matenga, A.; Murena, Eriyeti; Mpofu, Khumbulani

doi:10.1016/j.procir.2020.04.135

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…This will allow companies to build a data footprint through sensors and monitoring of machines and equipment. However, the potential of Industry 4.0 technologies in repurposing of end-of-life products is yet to be realised [49]. In this section, some relevant Industry 4.0 technologies have been discussed in the context of remanufacturing operations of electric motors:…”

Section: Industry 40 As An Enabler For the Circular Economy Of Electrical Motorsmentioning

confidence: 99%

A Review of Circular Economy Research for Electric Motors and the Role of Industry 4.0 Technologies

et al. 2021

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The market for electric motors is experiencing a step-growth due to their adoption across a range of industrial sectors. This increased demand also highlights the importance of end-of-life management of electric motors and a requirement for appropriate strategies for the high value materials embedded in them. This paper aims to offer a holistic view on the circular economy research for electric motors and the role of Industry 4.0 technologies by presenting the state-of-the-art available in literature and comparing it with the industrial perspective. The literature review revealed the absence of a methodology for selecting the best end-of-life scenario for industrial electric motors. Recycling, which is an end-of-product-life strategy, was found to be the key focus area of research. Reuse, which is a better strategy in terms of waste hierarchy, was the least researched area due to lack of information about the condition and availability of returned products. In order to capture the current landscape within the UK for the repair, remanufacture and recycling of electrical machines, a structured survey of UK based companies was conducted. The survey revealed that nearly half of the companies do not undertake any repair strategies for electrical machine components; however, there was an aspiration from the respondents to migrate their companies towards more sustainable activities. The industry survey and the review of existing literature led to the identification of research trends, challenges and recommendations for future research.

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Section: Industry 40 As An Enabler For the Circular Economy Of Electrical Motorsmentioning

confidence: 99%

A Review of Circular Economy Research for Electric Motors and the Role of Industry 4.0 Technologies

et al. 2021

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Prospects of application of IoT-based advanced technologies in remanufacturing process towards sustainable development and energy-efficient use

Chau

Nguyen

Huynh

et al. 2021

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Total quality control of the cyber-physical production using machine vision technologies

Gurjanov¹,

Babenkov

Шукалов

et al. 2021

J. Phys.: Conf. Ser.

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The total control is made for each separate unit of the item being manufactured to prevent any scrap. The automatic control tools are a part of information, measurement and controlling sub-systems, which use the machine vision technology. The information sub-system is done with the cyber-physical production calculation potency. The measurement sub-system is a set of digital cameras (optical detectors) and the artificial illumination semiconductor sources. The controlling sub-system regulates the item position with turning mechanisms inside the closed cyber-physical system technological chamber. A set of sub-systems performs a non-destructible item quality control with the item surface photographic images and stereo-maps program analysis, which should not contain non-homogeneous sections like scars, fissures, inclusions and other and any deviations of geometrical dimensions. The calculator three-dimension item image is formed with reconstruction algorithms of two-dimension photographs received in different views and illumination conditions and the means of laser scanning. The item surface quality requirements in the enlightened areas and obscured ones are defined with rendering equation, which are permitted for the item digital twin with calculator numerous methods. The quality control requires to compare with the reference energy and color measurement item surface characteristics, which are defined with mathematical calculations and optical measurement means. There is a scheme given of information, measurement and controlling cyber-physical system channels, which engage the machine vision technologies to control the item quality.

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Application of Artificial Intelligence to an Electrical Rewinding Factory Shop

Cited by 4 publications

References 24 publications

A Review of Circular Economy Research for Electric Motors and the Role of Industry 4.0 Technologies

A Review of Circular Economy Research for Electric Motors and the Role of Industry 4.0 Technologies

Prospects of application of IoT-based advanced technologies in remanufacturing process towards sustainable development and energy-efficient use

Total quality control of the cyber-physical production using machine vision technologies

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