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  1. Journal of Materials Engineering and Performance
  2. Journal of Materials Engineering and Performance : Volume 14
  3. Journal of Materials Engineering and Performance : Volume 14, Issue 1, February 2005
  4. Design of forging process variables under uncertainties
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Journal of Materials Engineering and Performance : Volume 26
Journal of Materials Engineering and Performance : Volume 25
Journal of Materials Engineering and Performance : Volume 24
Journal of Materials Engineering and Performance : Volume 23
Journal of Materials Engineering and Performance : Volume 22
Journal of Materials Engineering and Performance : Volume 21
Journal of Materials Engineering and Performance : Volume 20
Journal of Materials Engineering and Performance : Volume 19
Journal of Materials Engineering and Performance : Volume 18
Journal of Materials Engineering and Performance : Volume 17
Journal of Materials Engineering and Performance : Volume 16
Journal of Materials Engineering and Performance : Volume 15
Journal of Materials Engineering and Performance : Volume 14
Journal of Materials Engineering and Performance : Volume 14, Issue 6, December 2005
Journal of Materials Engineering and Performance : Volume 14, Issue 5, October 2005
Journal of Materials Engineering and Performance : Volume 14, Issue 4, August 2005
Journal of Materials Engineering and Performance : Volume 14, Issue 3, June 2005
Journal of Materials Engineering and Performance : Volume 14, Issue 2, April 2005
Journal of Materials Engineering and Performance : Volume 14, Issue 1, February 2005
Enabling factors toward production of nanostructured steel on an industrial scale
Characterization of aluminum/steel lap joint by friction stir welding
Effect of single and duplex aging on precipitation response, microstructure, and fatigue crack behavior in Al-Li-Cu alloy AF/C-458
Intergranular fracture on fatigue fracture surface of 2.25Cr-1Mo steel at room temperature in air
Role of the cyclic stability of retained austenite in fatigue performance of carburized 14NiCr11 steel
Variability of residual stresses and superposition effect in multipass grinding of high-carbon high-chromium steel
Shear lag in bolted single aluminum angle tension members
Influence of mechanical milling on the SiC particulate size in an Al-SiC composite
Effect of ion nitriding on the abrasive wear resistance of ultrahigh-strength steels with different silicon contents
Effect of small strain levels on special boundary distribution in commercially pure nickel
Prediction of crack deflection in titanium alloys with a platelet microstructure
Effect of manganese substitution on the magnetic properties of nickel-zinc ferrite
Microstructural modeling approach applied to rock material
An inverse heat transfer model of thermal degradation within multifunctional tensioned cable structures
On the singularity of the leblond model for TRIP and its influence on numerical calculations
Design of forging process variables under uncertainties
Mold-filling characteristics of AZ91 magnesium alloy in the low-pressure expendable pattern casting process
Multidisciplinary optimization of gas-quenching process
Journal of Materials Engineering and Performance : Volume 13
Journal of Materials Engineering and Performance : Volume 12
Journal of Materials Engineering and Performance : Volume 11
Journal of Materials Engineering and Performance : Volume 10
Journal of Materials Engineering and Performance : Volume 9
Journal of Materials Engineering and Performance : Volume 8
Journal of Materials Engineering and Performance : Volume 7
Journal of Materials Engineering and Performance : Volume 6

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Design of forging process variables under uncertainties

Content Provider Springer Nature Link
Author Repalle, Jalaja Grandhi, Ramana V.
Copyright Year 2005
Abstract Forging is a complex nonlinear process that is vulnerable to various manufacturing anomalies, such as variations in billet geometry, billet/die temperatures, material properties, and workpiece and forging equipment positional errors. A combination of these uncertainties could induce heavy manufacturing losses through premature die failure, final part geometric distortion, and reduced productivity. Identifying, quantifying, and controlling the uncertainties will reduce variability risk in a manufacturing environment, which will minimize the overall production cost. In this article, various uncertainties that affect the forging process are identified, and their cumulative effect on the forging tool life is evaluated. Because the forging process simulation is time-consuming, a response surface model is used to reduce computation time by establishing a relationship between the process performance and the critical process variables. A robust design methodology is developed by incorporating reliability-based optimization techniques to obtain sound forging components. A case study of an automotive-component forging-process design is presented to demonstrate the applicability of the method.
Starting Page 123
Ending Page 131
Page Count 9
File Format PDF
ISSN 10599495
Journal Journal of Materials Engineering and Performance
Volume Number 14
Issue Number 1
e-ISSN 15441024
Language English
Publisher Springer-Verlag
Publisher Date 2005-01-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword forging process design random process variables reliability assessment reliability-based optimization uncertainty quantification Characterization and Evaluation of Materials Materials Science Tribology, Corrosion and Coatings Quality Control, Reliability, Safety and Risk Engineering Design
Content Type Text
Resource Type Article
Subject Mechanics of Materials Materials Science Mechanical Engineering
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