Predictive Modeling for Distortion in Large, Thin-Walled Machined Components

Abhik Rakshit; Shuji Usui; Troy D. Marusich; Kerry Marusich; Luis Zamorano; Hari Elangovan

doi:10.4028/www.scientific.net/AMR.223.56

Paper Titles

Investigation of the Machining Behavior of Metal Matrix Composites (MMC) Using Chip Formation Simulation
p.20

Computational Study of Ultrasonically-Assisted Turning of Ti Alloys
p.30

Simulation of Multiple Chip Formation when Broaching SAE 5120 Low Alloy Steel
p.37

3D-FEM Modeling of Gear Skiving to Investigate Kinematics and Chip Formation Mechanisms
p.46

Predictive Modeling for Distortion in Large, Thin-Walled Machined Components
p.56

Modeling of Cutting Process with Cutter Axis Inclination
p.66

Cutting Forces Modeling in Finish Turning of Inconel 718 Alloy with Round Inserts
p.75

Real-Time Cutting Force Prediction and Cutting Force Coefficient Determination during Machining Processes
p.85

An Analytical Thermomechanical Modelling of Peripheral Milling Process Using a Predictive Machining Theory
p.93

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 223Predictive Modeling for Distortion in Large,...

Predictive Modeling for Distortion in Large, Thin-Walled Machined Components

Abstract:

Machining of large monolithic structures is standard practice in today’s aerospace world. Driven by cost and performance, it is becoming necessary for airframe manufacturers to machine parts better, faster, lighter, and cheaper than ever before. When machining these large monolithic structures, however, distortion becomes a significant problem. The typical solution to this problem is to machine with lower than optimum material removal rates, and perform additional fixture rotations – both of which add unnecessary time and cost to the manufacturing process. A finite element model has been developed specifically to predict and control these distortions. The model takes into consideration the machining-induced residual stresses, as well as the bulk stresses in the material from the manufacturer.

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Periodical:

Advanced Materials Research (Volume 223)

Pages:

56-65

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.223.56

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Online since:

April 2011

Authors:

Abhik Rakshit, Shuji Usui, Troy D. Marusich, Kerry Marusich, Luis Zamorano, Hari Elangovan

Keywords:

Distortion, FEA Modelling

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