A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0

Ulewicz, Robert; Czerwińska, Karolina; Pacana, Andrzej

doi:10.3390/ma16020723

Cited by 14 publications

(12 citation statements)

References 55 publications

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“…The work presented in this Special Issue [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] demonstrates the possibilities of further improving the microstructure quality and mechanical properties of metal alloys.…”

mentioning

confidence: 92%

“…Three papers were devoted to aluminum alloys. The first research to create a unified rank model for detection methods in the identification of aluminium casting nonconformities, in line with the paradigms of the fourth industrial revolution was presented at [14]. The resulting ranking of detection methods indicated the NDT method as the most effective, which was influenced by the significant detection of critical non-conformities and the automation of the process.…”

mentioning

confidence: 99%

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Quality, Microstructure, and Properties of Metal Alloys

Lipiński

2023

Materials

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confidence: 92%

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confidence: 99%

Quality, Microstructure, and Properties of Metal Alloys

Lipiński

2023

Materials

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“…However, before the operation of enterprises in accordance with the idea of Industry 4.0 develops its full potential and begins to bring positive effects to the economy, it will be crucial to look for new, progressive solutions. These solutions should concern the management of the organization, especially the technical area through effective control of the internal factors that shape the market position [26,27].…”

Section: Introductionmentioning

confidence: 99%

Method of Analyzing Technological Data in Metric Space in the Context of Industry 4.0

Czerwińska,

Pacana

2024

Processes

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The purpose of this article was to develop a method of analyzing the manufacturing process with variables indicating product competitiveness and technological capabilities in metric space as a cognitive source. The presented method will facilitate the identification of key development factors within the manufacturing processes that have the greatest impact on the adaptation of the manufacturing enterprise to Industry 4.0. The presented method of manufacturing process analysis integrates a number of tools (SMART method, brainstorming, BOST analysis, 3 × 3 metrics) that enable the implementation of statistical analysis. The model developed makes it possible to apply known mathematical methods in areas new to them (adaptation in the manufacturing area), which makes it possible to use scientific information in a new way. The versatility of the method allows it to be used in manufacturing companies to identify critical factors in manufacturing processes. A test of the developed method was carried out in one of the foundry enterprises, which allowed us to build a series of importance factors affecting effective production management. The methodology is addressed to the management of manufacturing enterprises as a method to assist in analyzing data and building (on the basis of improved manufacturing processes) a competitive strategy.

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“…Their further development can be achieved by influencing technological processes. These processes allow for the shaping of the microstructure of alloys and, consequently, the mechanical properties of the alloys [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Proportions of Titanium and Boron in the Al and AlSi7-Based Master Alloy on the Microstructure and Mechanical Properties of Hypoeutectic Silumin, AlSi7Mg

Lipiński

2023

Applied Sciences

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Unmodified hypoeutectic silumins have a microstructure composed of large-sized phases, which are the reason for their low mechanical properties. Many years of research have shown the modifying effects of many chemical elements and their compounds, including the master alloy consisting of Al-Ti-B, often in the form of the finished AlTi5B alloy. In this work, it was decided to check how the proportions of Ti and B content in the Al or AlSi-based master alloy affect the microstructure and mechanical properties of a hypoeutectic silumin, AlSi7Mg. It has been shown that a master alloy containing silicon (with the participation of Al + Ti + B) has a more effective impact on the refinement of the microstructure, and thus an increase in the mechanical properties of the AlSi7Mg alloy, than a master alloy without silicon. It has been shown that the ratio of titanium to boron content in the very-often-used AlTi5B modifier is not always optimal. It has been shown that the use of a master alloy with a composition similar to that of modified silumin with titanium and boron in a 2:1 ratio allows the obtaining of an AlSi7Mg alloy with higher mechanical properties than the alloy after the modification of the AlTi5 master alloy.

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A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0

Cited by 14 publications

References 55 publications

Quality, Microstructure, and Properties of Metal Alloys

Quality, Microstructure, and Properties of Metal Alloys

Method of Analyzing Technological Data in Metric Space in the Context of Industry 4.0

The Influence of the Proportions of Titanium and Boron in the Al and AlSi7-Based Master Alloy on the Microstructure and Mechanical Properties of Hypoeutectic Silumin, AlSi7Mg

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