New Method for the Development of Porous Gray Cast Iron Castings

Khadar, Shaik Dawood Abdul; Nazirudeen, S.S. Mohamed

doi:10.1007/bf03355447

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…25 and comparison of the compressive strengths in Table 6. [32]. However, the modified TPMS model envisaged in this work with continuous structured pattern and strong interconnected channel profile imparted more compressive strength.…”

Section: Compressive Strengthmentioning

confidence: 84%

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Chandrakanth

Prakash²,

Maiti³

et al. 2022

Preprint

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Porous castings are avant-garde materials termed as cellular metals. It showcases attractive characteristics likened to their solid equivalents. Powder metallurgy has been long utilized to manufacture cellular metals using diverse chemicals to attain internal pores, however this method is not viable for hefty components. The proposed methodology in this investigation is capable to produce structured foam using space holders using melt route. Melting and casting of cast iron foam described in this work to develop foam structure inspired by TPMS cellular structure (Schwarz, Modified Schwarz and I-WP). Porosity of 62.4% is achieved through casting route against numerically predicted 65% with a compressive strength of 177.4 MPa. Radiography tests shows that there are no significant defects in the connectivity region and there is full connectivity between pores that is in line with the results attained from pre-cast simulations. Optical projection of the casted sample is done as a confirmatory test for ensuring connectivity. Thickness of as low as 1.5mm is casted with Cast Iron in a structured manner.

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Section: Compressive Strengthmentioning

confidence: 84%

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Chandrakanth

Prakash²,

Maiti³

et al. 2022

Preprint

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“…One of the most decisive parameters of the foam is the relative density. The relative density is given by (2), where ρ is the density of the foam and ρ 1 is the density of the solid material [22].…”

Section: Resultsmentioning

confidence: 99%

“…Metallic foams consist of a new class of materials that turned out to be promising in different engineering fields. In the present scenario, the metal foam finds limited useful applications such as a core for sandwich panel structure, heat exchangers, and filters in industrial sectors like automotive, aerospace, and ship manufacturing [1][2][3][4]. Metal foam has a very interesting combination of low density, high energy absorption properties etc.…”

Section: Introductionmentioning

confidence: 99%

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Homogeneous Metal Foam Manufacturing and Impact Test Performance

Ananthakrishnan¹,

Bevin²,

Jeyanthi³

2019

Int J Performability Eng

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In this investigation, metal foam was produced by casting aluminum around intersecting ceramic cylinders. Through this study, an attempt was made to propose the use of homogeneous metal foams in impact attenuation. The metal foam in this investigation was made using a novel casting method. The testing was done on a UTM and subsequent simulations on an explicit dynamic solver in an ABAQUS environment. The crash simulation is initiated after a certain level of similarity between results of the UTM compression test and FEM compression analysis. The results demonstrate that a compact and cheap impact energy absorption unit can be made using the described method. The simulation compares a solid block to the obtained foam in terms of "Energy absorption per unit volume" and total kinetic energy of the impact test set-up.

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“…Idle inventories hold goods and services being produced for sale to sustain economic activities and offer them for resale. Businesses use idle inventory to meet their sudden needs that may arise by storing their products and materials for future use and to maintain the process without interruption [12], [13], [29]. In addition to the products they produce and prepare for sale, businesses maintain inventories of materials, raw materials, semi-finished products, tools, and equipment needed for production and distribution.…”

Section: Introductionmentioning

confidence: 99%

Stock Detection of Iron and Steel Products with Image Processing and SDSS Decision Support System

2024

jjmie

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The iron and steel industry is one of the leading sectors contributing to the economic power of countries. It is incorporated into numerous fields, including automotive, construction, manufacturing, agriculture, defense, and healthcare. Today, the increasing supply and demand balance in iron and steel products makes the stock management and control of the products crucial. The large quantity and variety of products in the iron and steel industry make stock management and control difficult. Creating stock for the business is a very costly process and is one of the important elements of the business. Successful stock management can make the business financially advantageous. This study aims to estimate the stock costs of different products and quantities according to different dates found in the business by using data mining. For this purpose, data mining classifier models are used, and estimated costs are found. By establishing a stock tracking system throughout the supply chain, the business should register all inventory movements of the products. It should work in an integrated way with stock management costing. Thus, unforeseen decreases and financial losses in products can be detected.The iron and steel sector, a key player in enhancing competition among nations and shaping the economic landscape, caters to the needs of various industries through its commitment to sustainable steel production. The industry has encountered challenges due to the swift advancements in recent years, impacting the costs associated with iron and steel products and posing issues for the sector. Tackling these challenges is essential for fostering national development and enhancing the competitiveness of businesses. This research delves into the elements influencing the expenses within the iron and steel industry, emphasizing the importance of minimizing factors leading to elevated costs. An automation system was developed using image processing techniques, and iron and steel products were analyzed. In the automation system, k-means and twostep, one of the clustering analysis methods, was applied.A decision support system defined as SDSS (Steel Decision Support System) and BIPS (Burak's Image Processing System)has been developed to determine the inventory costs of iron and steel products, adopting a data mining approach and including clustering methods to reveal similar inventory costs. Measurements with the SDSS-BIPS automation system were 94.4% successful. Withcost levels were determined by matching the products in the iron and steel business database with their costs.

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New Method for the Development of Porous Gray Cast Iron Castings

Cited by 7 publications

References 6 publications

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Development of TPMS inspired thin walled structured metal foams from unsorted ferrous scrap through melt route

Homogeneous Metal Foam Manufacturing and Impact Test Performance

Stock Detection of Iron and Steel Products with Image Processing and SDSS Decision Support System

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