scholarly journals Erratum to : Condition of to-day for the light alloy casting and die-casting industry in European and United State

1957 ◽  
Vol 7 (3) ◽  
pp. 87-87
Keyword(s):  
Die Casting ◽  
Light Alloy ◽  
Alloy Casting ◽  
United State ◽  
Casting Industry

MAGNESIUM AZ91B

Alloy Digest ◽  
1958 ◽  
Vol 7 (1) ◽  
Keyword(s):  
Fracture Toughness ◽  
Corrosion Resistance ◽  
Shear Strength ◽  
Physical Properties ◽  
Surface Treatment ◽  
Tensile Properties ◽  
Die Casting ◽  
Casting Alloy ◽  
Casting Industry ◽  
Magnesium Die Casting

Abstract MAGNESIUM AZ91B is a standard magnesium die casting alloy patterned for the needs of the commercial casting industry. This datasheet provides information on composition, physical properties, hardness, elasticity, tensile properties, and compressive and shear strength as well as fracture toughness and fatigue. It also includes information on corrosion resistance as well as casting, machining, and surface treatment. Filing Code: Mg-36. Producer or source: Apex Smelting Company.

scholarly journals Study of two alternative cooling systems of a mold insert used in die casting process of light alloy components

2019 ◽  
Vol 24 ◽  
pp. 569-582
Author(s):  
Federica Fiorentini ◽  
Pellegrino Curcio ◽  
Enrico Armentani ◽  
Carlo Rosso ◽  
Paolo Baldissera
Keyword(s):  
Die Casting ◽  
Mold Insert ◽  
Casting Process ◽  
Light Alloy ◽  
Cooling Systems ◽  
Die Casting Process

scholarly journals Embedded System based Monitoring and Controlling of Parameters in Die Casting Industry

2015 ◽  
Vol 8 (5) ◽  
pp. 253-262
Author(s):  
S. Thulasiram ◽  
N. Suthanthira Vanitha ◽  
M. Rajendiran ◽  
N. Kavitha
Keyword(s):  
Embedded System ◽  
Die Casting ◽  
Casting Industry

Die-Casting Feature Recognition for Automated Parting Direction and Parting Line Determination

2006 ◽  
Vol 7 (3) ◽  
pp. 236-248 ◽  
Author(s):  
J. Madan ◽  
P. V. M. Rao ◽  
T. K. Kundra
Keyword(s):  
Feature Recognition ◽  
Die Casting ◽  
Present System ◽  
Related Factors ◽  
Cast Part ◽  
Number Of Factors ◽  
Die Cast ◽  
Determination System ◽  
Parting Direction ◽  
Casting Industry

Determining parting direction and parting line for die-cast parts is a nontrivial task that not only depends upon shape and topology of the part, but also on many process related factors. Normally, a die-casting expert decides parting direction and parting line, intuitively taking into account a large number of factors, and this process can be time consuming and cumbersome in many cases. This study addresses automated determination of parting direction and parting line for a die-cast part from part CAD model. The proposed methodology takes STEP file of the part as input for extracting die-casting features, which consists of protrusion or depression regions of the part. These features are classified into those with single, double, or multiple withdrawal directions. Geometric reasoning is used for feature recognition, which includes nested and interacting features. Global visibility instead of local visibility is used for planning withdrawal direction, which makes the decision arrived by present system closer to industrial practice. Parting line is determined based on selected candidate parting direction considering process constraints and priorities. The contribution of this paper is in terms of development of an automated parting direction and parting line determination system, which is more comprehensive and overcomes limitations of the previous work. Results of this system have been validated with those arrived at by experts from the die-casting industry.

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