An integrated process for modelling of precipitation hardening and springback in creep age-forming

Lin, Jianguo; Ho, Kar; Dean, Trevor

doi:10.1016/j.ijmachtools.2006.01.026

Cited by 78 publications

(38 citation statements)

References 13 publications

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“…Five common creep laws are directly provided in ABAQUS: the power law, the hyperbolic-sine law, the double power law, the Anand law, and the Darveaux law and they are used for modelling secondary or steady-state creep [16]. However, in practical cases creep laws are typically of very complex form to fit experimental data; thus, the laws are frequently user-defined via the use of user subroutine CREEP and included in a general time-dependent, viscoplastic material formulation [17][18][19]. Our four element model or Burger model, is not a standard model in ABAQUS and hence needed to be incorporated via the CREEP user subroutine.…”

Section: Abaqus Implementation Of the Four Element Burger Modelmentioning

confidence: 99%

Creep and Recovery Behaviour of Polyolefin-Rubber Nanocomposites Developed for Additive Manufacturing

et al. 2016

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Nanocomposite application in automotive engineering materials is subject to continual stress fields together with recovery periods, under extremes of temperature variations. The aim is to prepare and characterize polyolefin-rubber nanocomposites developed for additive manufacturing in terms of their time-dependent deformation behaviour as revealed in creep-recovery experiments. The composites consisted of linear low density polyethylene and functionalized rubber particles. Maleic anhydride compatibilizer grafted to polyethylene was used to enhance adhesion between the polyethylene and rubber; and multi-walled carbon nanotubes were introduced to impart electrical conductivity. Various compositions of nanocomposites were tested under constant stress in creep and recovery. A four-element mechanistic Burger model was employed to model the creep phase of the composites, while a Weibull distribution function was employed to model the recovery phase of the composites. Finite element analysis using Abaqus enabled numerical modelling of the creep phase of the composites. Both analytical and numerical solutions were found to be consistent with the experimental results. Creep and recovery were dependent on: (i) composite composition; (ii) compatibilizers content; (iii) carbon nanotubes that formed a percolation network.

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Section: Abaqus Implementation Of the Four Element Burger Modelmentioning

confidence: 99%

Creep and Recovery Behaviour of Polyolefin-Rubber Nanocomposites Developed for Additive Manufacturing

et al. 2016

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“…The oven provides a heat treatment cycle to the whole apparatus at an elevated temperature, T, for a predetermined period of time, t 2 . The blank undergoes plastic deformation during this period, as the material constituents of the blank precipitate, altering the microstructure of the alloy, thereby strengthening it [1,5,22,23]. T and t 2 that characterise a heat treatment cycle are unique to each alloy and are set so that the CA-formed part will have final mechanical properties that meet the strength specification.…”

Section: A Current State-of-the-art Flexible Caf Toolmentioning

confidence: 99%

A method for designing lightweight and flexible creep-age forming tools using mechanical splines and sparse controlling points

Lam

Shi

Lin

et al. 2015

Int J Adv Manuf Technol

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Creep-age forming (CAF) is a proven forming technique in the aerospace industry for the production of large integrally stiffened panels. One of the most urgent issues to be addressed in CAF is the development of flexible tooling. Flexible tools already have a long-standing reputation for the economic impact they have brought to the aircraft industry. However, with the rising need to establish comprehensive springback prediction models for CAF, the need for flexible CAF tools is now stronger than ever. In this article, an existing state-of-the-art CAF tool is described followed by the introduction of a novel design concept for flexible tooling. Based on the proposed design method, which utilises mechanical splines and sparsely spaced controlling points, a proof-of-concept prototype is built and characterised using corresponding analytical and finite element models that have been developed. Three parameters that can influence forming surface error: (i) the number of control points, (ii) spaces between control points and (iii) spline thickness are identified and optimised. Finally, an integrated optimisation process for tool offsetting is introduced, and its use is demonstrated. It is confirmed that this design method can be used to make flexible CAF tools with less than ± 1 mm error (defined as vertical difference from prediction) in the forming surface. In addition, this error can eventually be compensated and thus eliminated from CA-formed parts by using the developed optimisation technique. This article provides CAF tool designers confirmed advices for making new flexible CAF tools. Lightweight and flexible CAF tools can now be constructed through the use of mechanical splines and sparse controlling points.

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“…Multi-step numerical procedures have been developed to simulate the creep forming process and to evaluate the spring-back using ABAQUS ® . The procedures for the simulation of spring-back in creep age forming were detailed by Lin et al (2006).…”

Section: Materials Modelling and Fe Simulationmentioning

confidence: 99%

Point-based approach to enhance the quality of geometric data for CAE applications

Ball

Cripps

Lin

et al. 2009

International Journal of Production Research

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An integrated process for modelling of precipitation hardening and springback in creep age-forming

Cited by 78 publications

References 13 publications

Creep and Recovery Behaviour of Polyolefin-Rubber Nanocomposites Developed for Additive Manufacturing

Creep and Recovery Behaviour of Polyolefin-Rubber Nanocomposites Developed for Additive Manufacturing

A method for designing lightweight and flexible creep-age forming tools using mechanical splines and sparse controlling points

Point-based approach to enhance the quality of geometric data for CAE applications

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