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  • 1.
    Lindström, Per
    University West, Department of Engineering Science, Division of Manufacturing Processes. University West, Department of Engineering Science, Research Enviroment Production Technology West. DNV Materials Technology, Det Norske Veritas AS, Høvik, Norway.
    DNV Platform of Computational Welding Mechanics2013Conference paper (Refereed)
    Abstract [en]

    This document presents the DNV Platform of Computational Welding Mechanics, CWM, with its associated CWM-methodology. That has been developed, validated and implemented as a part of DNV’s Technology Leadership program in the field of Structural Integrity and Materials Technology.A successful CWM implementation requires that the actual organisation has gained the knowledge and understanding of the following related topics:

    - Welding Engineering with an emphasis on the welding process and its thermodynamics

    - Weld process quality control such as calibration, validation as well as DAQ, (Data Acquisition)

    - Transient thermo-mechanical coupled FE-analyses and constitutive modelling

    - Computational platforms comprising the selection of hardware, operative system and FEM-code as well as suitable pre- and post-processing tools

    From that perspective there is a lack of reliable and/or hands-on oriented CWM Engineering Handbooks and best recommended practices available on the market. For that sake is the DNV CWM-methodology and its hands on solutions presented.

    The CWM-methodology described can not only be used for residual stress assessments, as presented in this report. It can also be used for various applications such as assessment of used and/or proposed WPS, Welding Procedure Specifications as well as optimisation of the manufacturing and production process of integrated metallic structures.

    From the results of a parametric CWM-study have three (3) factors been identified to drive and/or contribute to the magnitude of the weld residual stresses in ship steel plate materials. The contributing and/or driving factors identified are the

    :- Thermal- and Mechanical Boundary Conditions during the production welding

    - Yield stress difference between the base- and the weld filler material

    - Weld heat input, Q, which affects the weld cooling time

  • 2.
    Lindström, Per
    University West, Department of Engineering Science, Division of Manufacturing Processes. University West, Department of Engineering Science, Research Enviroment Production Technology West.
    Improved CWM platform for modelling welding procedures and their effects on structural behaviour2015Doctoral thesis, monograph (Other academic)
    Abstract [en]

    A welding procedure specification is the document describing how a weld joint should be constructed. Arc weld processes are characterized by transient thermal behavior, leading to rapid changes in material properties and dynamic interaction between weld and base material. The objective of the project is to explore how the use of an improved CWM-platform affects representative stress and strain fields in order to assess welding procedure qualification records. Forthis project, the accumulated thermal and mechanical influences from the first run to the final run are brought forward, in one and the same meshed geometrical model. Both the thermal and mechanical material model of the platform are designed to be used for modelling of the base- and weld material,promoting the simulation of the intricate combination of the thermal, elastic,and plastic strains on the plastic strain hardening and the formation of residual stress fields. The output of the simulation is mainly weld cooling times, residual stresses, and deformations. This analysis is taken further by examining how residual stresses influence crack driving force under elastic and plastic loading. In addition, the output from the simulations can be used to assess the realism of the proposed welding parameters. The main experimental welding procedure examined comes from the IIW RSDP Round Robin Phase II benchmark project, where the main aim was to benchmark residual stress simulations. This work was found to contain many applicable challenges of a CWM-analysis project.

  • 3.
    Lindström, Per
    et al.
    University West, Department of Engineering Science, Division of Manufacturing Processes. University West, Department of Engineering Science, Research Enviroment Production Technology West.
    de Blanche, Andreas
    University West, Department of Engineering Science, Division of Computer and Electrical Engineering.
    Integration and Optimization of a 64-core HPC for FEM- and/or CFD Welding Simulations2013In: Improving Simulation Prediction by Using Advanced Material Models / [ed] Nafems Nordic, Bernau am Chiemsee: NAFEMS , 2013, p. 13-18Conference paper (Refereed)
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