Evidence map›Paper›PMID 38559377›Full record

ArticleThe International journal, advanced manufacturing technology2024

A new variant of the inherent strain method for the prediction of distortion in powder bed fusion additive manufacturing processes.

Pegah Pourabdollah, Farzaneh Farhang Mehr, Steve Cockcroft, Daan Maijer

Abstract read
In one paragraph

Article in The International journal, advanced manufacturing technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pegah PourabdollahAdvanced Metals Processing Group, Materials Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4 Canada.
Farzaneh Farhang MehrAdvanced Metals Processing Group, Materials Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4 Canada.
Steve CockcroftAdvanced Metals Processing Group, Materials Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4 Canada.
Daan MaijerAdvanced Metals Processing Group, Materials Engineering Department, The University of British Columbia, Vancouver, BC V6T 1Z4 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new variant of the inherent strain (IS) method is proposed to predict component distortion in powder bed fusion additive manufacturing (AM) that addresses some of the shortcomings of the previous work by accounting for both the compressive plastic strain formed adjacent to the melt pool and the thermal strain associated with the changing macroscale thermal field in the component during fabrication. A 3D thermomechanical finite element (FE) model using the new approach is presented and applied to predict the distortion of a component fabricated in an electron beam powder bed fusion (EB-PBF) machine. To improve computational efficiency, each computational layer is comprised of six powder layers. A time-averaged volumetric heat input based on beam voltage and current data obtained from the EB-PBF system was calculated and applied to each computational layer, consistent with the process timing. The inherent strains were applied per computational layer as an initial anisotropic contribution to the thermal strain at the time of activation of each computational layer, resulting in the sequential establishment of static equilibrium during component fabrication, which accounts for the variation in the local macroscale thermal field. The thermal field and distortion predicted by the thermomechanical model were verified using experimentally derived data. The model predicts in-plane compressive strains in the order of 10

Indexed as

Additive manufacturing (AM)Electron beam powder bed fusion (EB-PBF)Finite element (FE) numerical modelInherent strain (IS)Thermal stress simulation

Identifiers

PMID38559377
PMCPMC10973057

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.