A Digital Twin-Based Study of Material Behavior in the Rolling Process

The study proposes the development of a digital twin model for the rolling process. This virtual representation allows for the investigation of how various rolling parameters influence the quality of the final product. By employing finite element analysis (FEA), the model can simulate the rolling process under different conditions. Specifically, the study focuses only workpiece material which includes aluminum alloy (Al2024) for digital twin scenario. Through simulations, critical parameters like the Z-force exerted on the workpiece can be determined and compared. This enables researchers to evaluate different scenarios and identify optimal rolling conditions without the need for costly physical experiments.

Authors

Institutions

Publication Details

Journal
Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
Published
2024-12-30
DOI
https://doi.org/10.34186/klujes.1578303
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Digital Twin-Based Study of Material Behavior in the Rolling Process

Kadir Gök, Cemal Esen
Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
Additive Manufacturing Materials and Processes
article

A Digital Twin-Based Study of Material Behavior in the Rolling Process

Kadir Gök, Cemal Esen
article en

Abstract

The study proposes the development of a digital twin model for the rolling process. This virtual representation allows for the investigation of how various rolling parameters influence the quality of the final product. By employing finite element analysis (FEA), the model can simulate the rolling process under different conditions. Specifically, the study focuses only workpiece material which includes aluminum alloy (Al2024) for digital twin scenario. Through simulations, critical parameters like the Z-force exerted on the workpiece can be determined and compared. This enables researchers to evaluate different scenarios and identify optimal rolling conditions without the need for costly physical experiments.

Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri DergisiVol. 10(2)
Izmir University (TR), Bakırçay Üniversitesi
Openalex Percentile: Top 75%
Additive Manufacturing Materials and Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.