Location

Snowmass Village, CO

Start Date

1-1-1995 12:00 AM

Description

The development of castings for automotive components [1] can be accelerated by “statistical experimental design” or Taguchi-like methods [2] which use quantitative measures of the component quality to isolate and optimize the casting control parameters. In the present work the internal quality of aluminum pistons is determined using x-ray tomography. This technique allows internal voids such as shrink porosity to be detected. Both these defects occur when the gates or risers supplying molten aluminum freeze before the casting is completely solidified. These voids can be eliminated by carefully selected mold designs and casting conditions which lead to directional solidification. A casting development cycle is illustrated in Fig. 1 and shows how the casting parameters can be optimized during mold-tryout using statistical experimental design methods.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

14A

Chapter

Chapter 2: Emerging Inspection Technologies

Section

CT and Laminography

Pages

681-687

DOI

10.1007/978-1-4615-1987-4_84

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Quantitative X-Ray Tomography for the Development of a Piston Casting Process

Snowmass Village, CO

The development of castings for automotive components [1] can be accelerated by “statistical experimental design” or Taguchi-like methods [2] which use quantitative measures of the component quality to isolate and optimize the casting control parameters. In the present work the internal quality of aluminum pistons is determined using x-ray tomography. This technique allows internal voids such as shrink porosity to be detected. Both these defects occur when the gates or risers supplying molten aluminum freeze before the casting is completely solidified. These voids can be eliminated by carefully selected mold designs and casting conditions which lead to directional solidification. A casting development cycle is illustrated in Fig. 1 and shows how the casting parameters can be optimized during mold-tryout using statistical experimental design methods.