Die Cast Engineering

Andresen, William

doi:10.1201/9780203997390

Cited by 10 publications

(4 citation statements)

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“…Length of the opening end of the piston is l 2 : l 2 = l 1 + 0.5l 1 (6) Maximum thickness of barrel is t 3 : t 3 = 0.03D + 4.5…”

Section: Design For Engine Pistonmentioning

confidence: 99%

“…Most die castings are made from non-ferrous metals, especially zinc, copper, aluminium and magnesium based alloys. Depending on the type of metal being cast, a hot-or cold-chamber machine is used [6]. Manufacturing of parts using die casting is relatively simple, involving only four steps, which keeps the incremental cost per item low.…”

Section: Introductionmentioning

confidence: 99%

“…Die casting are characterized by a very good surface finish and dimensional consistency. There are two basic techniques of die casting [6] namely: Gravity Die Casting and Pressure Die Casting, hence, is been used for this study.…”

Section: Introductionmentioning

confidence: 99%

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Computer Aided Model for Casting Aluminium Using Die-Casting

Mogaji¹,

Adejuyigbe²,

Bada³

2014

JMSE-B

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Abstract:Computer aided casting of aluminum using die-casting was developed. A piston, which is an automobile part and very important in internal combination engine, was chosen for the research. Pistons are made of aluminum alloy. Models of the products were developed to aid the casting process. Mathematical models that show the dimensions of the casting were also developed. Since the project is about using computer to aid casting process, a program using visual basic (VB) Language was developed. The program was used to incorporate die-casting process into computer system. The written program was tested and the model of the casting product (piston) was displayed. The result shows that computer which is faster with accurate result can be used as an aid in the production of aluminum piston using die-casting process, for accurate planning in the manufacture of the product.

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“…Length of the opening end of the piston is l 2 : l 2 = l 1 + 0.5l 1 (6) Maximum thickness of barrel is t 3 : t 3 = 0.03D + 4.5…”

Section: Design For Engine Pistonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computer Aided Model for Casting Aluminium Using Die-Casting

Mogaji¹,

Adejuyigbe²,

Bada³

2014

JMSE-B

View full text Add to dashboard Cite

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confidence: 99%

Development and application of inverse heat transfer model between liquid metal and shot sleeve in high pressure die casting process under non-shooting condition

Cao

Guo

et al. 2016

China Foundry

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A s one of the most cost effective near-net-shape manufacturing processes, high pressure die casting (HPDC) accounts for almost 70% of aluminum components production [1] . It has been demonstrated that the HPDC process involves rapid temperature fluctuations on the surface of the die during the fast casting cycles. This behavior could result in steep thermal gradients on and below the die surface [2][3][4][5][6] . According to research articles [7,8] , the solidification rate is highly dependent on the interfacial heat transfer behavior in both the shot sleeve and the die. Subsequently, solidification rate has a significant influence on the microstructural defect formation and mechanical Abstract: To predict the heat transfer behavior of A380 alloy in a shot sleeve, a numerical approach (inverse method) is used and validated by high pressure die casting (HPDC) experiment under non-shooting condition. The maximum difference between the measured and calculated temperature profiles is smaller than 3 °C, which suggests that the inverse method can be used to predict the heat transfer behavior of alloys in a shot sleeve. Furthermore, the results indicate an increase in maximum interfacial heat flux density (q max ) and heat transfer coefficient (h max ) with an increase in sleeve filling ratio, especially at the pouring zone (S2 zone). In addition, the values of initial temperature (T IDS ) and maximum shot sleeve surface temperature (T simax ) at the two end zones (S2 and S10) are higher than those at the middle zone (S5). Moreover, in comparison with fluctuations in heat transfer coefficient (h) with time at the two end zones (S2 and S10), 2.4-6.5 kW•m -2 •K -1 , 3.5-12.5 kW•m -2 •K -1 , respectively, more fluctuations are found at S5 zone, 2.1-14.7 kW•m -2 •K -1 . These differences could theoretically explain the formation of the three zones: smooth pouring zone, un-smooth middle zone and smooth zone, with different morphologies in the metal log under the non-shot casting condition. Finally, our calculations also reveal that the values of q max and h max cast at 680 °C are smaller than those cast at 660 °C and at 700 °C. Key words: inverse method; A380 casting; filling ratio; heat transfer behavior CLC numbers: TG146.21 Document code: A Article ID: 1672-6421(2016)04-269-07properties of the final product. Furthermore, the solidification condition could affect the morphology and quantity of externally solidified crystals (ESCs) or cold flakes in the casting [9,10] . Therefore, to reduce defects in castings and achieve an optimized control condition, a thorough understanding of the heat transfer between the molten metal and the shoot sleeve is necessary. Temperature measurement is the most difficult task in interfacial heat transfer determination in HPDC. Dour et al. [11] pointed out that improper installation of the thermocouples could bring uncertainties in temperature measurement. To date, there are two main problems existing in casting and die temperature measurement: (I) accurate and reproducible measurements are ...

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An energy consumption prediction approach of die casting machines driven by product parameters

Chen

Cao

et al. 2021

Front. Mech. Eng.

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Die Cast Engineering

Cited by 10 publications

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Computer Aided Model for Casting Aluminium Using Die-Casting

Computer Aided Model for Casting Aluminium Using Die-Casting

Development and application of inverse heat transfer model between liquid metal and shot sleeve in high pressure die casting process under non-shooting condition

An energy consumption prediction approach of die casting machines driven by product parameters

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