Bi-metal rod extrusion—process and product optimization

Kazanowski, Pawel; Epler, Mario E.; Misiołek, Wojciech Z.

doi:10.1016/j.msea.2003.11.002

Cited by 85 publications

(47 citation statements)

References 7 publications

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“…In one of these samples, the eccentricity and material flow was more exaggerated. Previous studies 12,13,14,28 show that the core material behaves as in samples Low3, High2, and High3-it tapers off or "runs out" prior to the completion of extrusion.…”

Section: Discussion Of Results For Finite Element Modeling Analysis Omentioning

confidence: 87%

“…For other nonhollow, round-to-round extrusions using different alloy systems (aluminum), it has been shown that a reduction of approximately 10% is effective in controlling material flow. 28 Depending on the actual process variables, a reduction of 8 to 20% of the length of the core material in the initial billet will result in material scrap savings.…”

Section: Discussion Of Results For Finite Element Modeling Analysis Omentioning

confidence: 99%

See 1 more Smart Citation

Physical and Numerical Analysis of Extrusion Process for Production of Bimetallic Tubes

Misiołek¹,

Sikka²

2006

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Section: Discussion Of Results For Finite Element Modeling Analysis Omentioning

confidence: 87%

Section: Discussion Of Results For Finite Element Modeling Analysis Omentioning

confidence: 99%

Physical and Numerical Analysis of Extrusion Process for Production of Bimetallic Tubes

Misiołek¹,

Sikka²

2006

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“…Haghighat and Asgari [2] proposed a new velocity field for extrusion of bi-metallic materials and obtained numerical results. Kazanowski et al [3] studied the effect of the billet geometry on the product geometry for bimaterial rod extrusion. They confirmed the relation between initial geometries and the quality of the final product.…”

Section: Introductionmentioning

confidence: 99%

A numerical study for prediction of forming load and experimental verification of bimetallic disc upsetting

Ayer

2017

Teh. vjesn.

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Original scientific paper Forming of disc samples composed from aluminium and copper in performed study was examined with upsetting procedure. An approach for prediction deformation load of upsetting processes is developed. This study combines the finite element method model, neural network model and upper bound method to simulate and predict the deformation load in upsetting of bimetallic materials. The Finite Element Method (FEM) results were obtained from DEFORM-3D software and they were compared and validated with experiments by taking forming load into consideration. Also, Artificial Neural Network (ANN) model was used to analyze and predict the forming load for different process parameters. The Upper Bound (UB) model was also proposed to estimate the forming load and the results were compared with experiments. It was understood that calculated results were in concordance with experimental results in upsetting of bimetallic hollow discs. Thus, proposed ANN, FEM and UB models provide a valuable insight into the parameters affecting forming load and can be named as useful tools to predict the forming load without the need of any experiments. Keywords: artificial neural network (ANN); bimetallic materials; DEFORM-3D; finite element method (FEM); load analysis; upper bound method (UB); upsetting Numerička analiza za predviđanje nastalog opterećenja i eksperimentalna provjera sabijanja bimetalnog diskaIzvorni znanstveni članak U ovom je istraživanju postupkom sabijanja ispitivano nastajanje pločastih uzoraka sastavljenih od aluminija i bakra. Razvijen je pristup za predviđanje opterećenja koje dovodi do deformacije u postupku sabijanja. U radu se kombinira model metode konačnih elemenata, neuronske mreže i metode gornje granice (upper bound) u svrhu simuliranja i predviđanja opterećenja koje dovodi do deformacije u postupku sabijanja bimetalnih materijala. Rezultati metode konačnih elemenata (FEM) dobiveni su softverom DEFORM-3D te su uspoređeni i provjereni na eksperimentima uzimajući u obzir stvoreno opterećenje. Primijenio se i model Umjetne Neuronske Mreže (Artificial Neural Network -ANN) za analizu i predviđanje nastalog opterećenja kod različitih parametara postupka. Za procjenu nastalog opterećenja predložen je i Upper Bound (UB) model, a rezultati su eksperimentalno uspoređivani. Ustanovilo se da su dobiveni rezultati u skladu s eksperimentalnima u sabijanju bimetalnih šupljih diskova. Prema tome, predloženi ANN, FEM i UB modeli pružaju dragocjen uvid u parametre koji utječu na stvaranje opterećenja i može ih se smatrati korisnim alatima za predviđanje stvaranja opterećenja bez potrebe bilo kakvih eksperimenata. Ključne

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“…By joining different materials (e.g., metallic), it is possible to obtain products that possess the combined properties of its base components [1][2][3][4][5][6][7]. On the aluminum scrap market, waste in the form of foils, blisters, and different kinds of metal dust represents a significant share.…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, a series of articles can be found concerning the solid bonding of materials like powders, chips, and Al-Cu composites by sintering [3], cold rolling [4,5], or extrusion [6][7][8][9][10]. According to many publications, Al matrix composites with the addition of Cu powder are characterized not only by low density but also increased heat conduction and good corrosion resistance [1,[9][10][11]. However, Al-Cu composites manufactured by hot-extrusion induce the formation of intermetallic phases [e.g., Al 2 Cu (θ), Al 2 Cu 3 (δ), Al 4 Cu 9 (γ)], which have a negative influence both on the plasticity and electrical conductivity of the material [3,11,12].…”

Section: Introductionmentioning

confidence: 99%

Possibility of Al-Cu Composite Manufacturing From Fine Metal Fractions by Recycling Process

Wzorek

Wędrychowicz

Wiewióra

et al. 2017

mafe

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Possibility of Al-Cu composite manufacturing from fine metal fractions by recycling processOkreślenie możliwości wytwarzania kompozytów Al-Cu w procesie recyklingu drobnych frakcji metali AbstractPlastic consolidation of highly fragmented materials is a cost-effective way to recover aluminum alloys. In this process, metal in the form of chips, powders, or ribbons omits the melting step that is typical for conventional scrap recycling; by that, it significantly reduces both energy expenses and material losses. By reducing the number of operations, the cost of labor and expenditures on environmental protection can be decreased. In addition, the solid bonding of metals in highly dispersed forms allows us to create heterogeneous structures that could be difficult to obtain in traditional processes. In the present study, the influence of the addition of Cu powder (99.7 wt.%) on the bonding quality of aluminum powder (99.7 wt.%) during hot extrusion is being examined. The examined materials contained aluminum powder with the addition of 5 wt.% of Cu powder. The mixture of these powders were cold compacted to produce an 80-mm-long charge for the extrusion process. Plastic consolidation was conducted at three different temperatures: 300°, 350°, and 400°C. As a result, rods 8 mm in diameter were obtained. Mechanical tests combined with microstructure observations and electrical conductivity tests were performed for the as-extruded materials. Keywords: aluminum, copper, powder, plastic consolidation, electrical conductivity, Al-Cu composite Streszczenie Konsolidacja plastyczna silnie rozdrobnionych form materiałów jest ekonomicznie opłacalnym sposobem odzysku stopów aluminium. W procesie tym pomija się etap topienia, który jest integralną częścią recyklingu konwencjonalnego złomów metali takich jak wióry, proszki i taśmy. Umożliwia

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Bi-metal rod extrusion—process and product optimization

Cited by 85 publications

References 7 publications

Physical and Numerical Analysis of Extrusion Process for Production of Bimetallic Tubes

Physical and Numerical Analysis of Extrusion Process for Production of Bimetallic Tubes

A numerical study for prediction of forming load and experimental verification of bimetallic disc upsetting

Possibility of Al-Cu Composite Manufacturing From Fine Metal Fractions by Recycling Process

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