Evidence map›Paper›PMID 37025784›Full record

ArticleHeliyon2023

Lagrangian approach embed with discrete element method for extreme deformation study in frangible bullet designs fragmentation and penetration on viscoelastic ballistic gel.

Widyastuti, Adhy Prihatmiko Wibowo, Bambang Pramujati, Denny Lesmana, Afrizal Aditya Pratama, Sugiarto Putra Wijaya

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

WidyastutiInternet of Things and Defense Technology Research Center, Institut Teknologi Sepuluh Nopember, Surabaya City, Indonesia.
Adhy Prihatmiko WibowoDepartment of Materials and Metallurgical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya City, Indonesia.
Bambang PramujatiDepartment of Mechanical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya City, Indonesia.
Denny LesmanaIndonesian Army Industries Ltd., Malang City, Indonesia.
Afrizal Aditya PratamaDepartment of Materials and Metallurgical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya City, Indonesia.
Sugiarto Putra WijayaDepartment of Materials and Metallurgical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya City, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of a model for analyzing a bullet's impact is important in the military field to design a bullet with desired properties. This study uses a finite element model with a Lagrangian framework and Lagrange-discrete element method (DEM) model by ANSYS Explicit Dynamic to investigate the effect of frangible bullet designs on bullet deformation and penetration in ballistic gel setting. A modeling approach with ballistic gel can analyzed the extreme deformation of bullets much faster compared to the more resource intensive real life ballistic gel test. The study starts with developing a 3D model, then importing it to an ANSYS workbench to solve the problems. Overall, the results of Lagrange-DEM shows deeper penetration and better accuracy to represent the real life ballistic gel test than other simulation method. The fluted bullet design has a shorter penetration depth but a bigger temporary cavity diameter than the flat-nosed one due to its notch and asymmetrical design, which becomes the part that is easily deformed and leads to directional deformation.

Indexed as

Ballistic testDefense technologyDiscrete element methodFrangibleLagrangian approach

Identifiers

PMID37025784
PMCPMC10070894

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.