UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 12
December-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2412526


Registration ID:
546677

Page Number

f231-f241

Share This Article


Jetir RMS

Title

OPTIMIZATION OF V-BENDING PROCESS USING ANSYS

Abstract

Sheet metal forming is a vital process in modern manufacturing, extensively used in the automotive and aerospace industries to create components with precise dimensions and minimal defects. This technique involves shaping a flat sheet of metal into a desired form using a punch and die, allowing for the production of complex geometries with high accuracy. In this research, the energy absorption characteristics of copper alloy, Al 1100, and Al 5083 sheet metals with varying thicknesses were investigated through simulations performed using the ANSYS Explicit Solver workbench. The CAD modeling and finite element analysis (FEA) were carried out in ANSYS DesignModeler, focusing on key performance metrics such as Equivalent Stress (Von-Mises Stress), Total Deformation, Internal Energy, and Shear Stress. To enhance the forming process, the study applied the Taguchi Response Surface Method to optimize the finite element model, concentrating on critical variables like die length and die angle. The optimization process aimed to improve the accuracy and efficiency of the sheet metal forming process by refining these parameters. The simulation results provided detailed insights into stress distribution, internal energy patterns, and deformation behavior for the different materials and thicknesses studied. The findings from this research offer a comprehensive analysis of the performance of copper, Al 1100, and Al 5083 sheet metals under various forming conditions. By understanding these characteristics, the study contributes to the development of more effective and efficient sheet metal forming processes, which are crucial for meeting the high standards required in industrial applications, particularly in the automotive and aerospace sectors.

Key Words

FEA, Sheet Metal Forming, V-Bending Process, Copper Alloy, Al100, Al 5083, ANSYS

Cite This Article

"OPTIMIZATION OF V-BENDING PROCESS USING ANSYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.f231-f241, December-2024, Available :http://www.jetir.org/papers/JETIR2412526.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"OPTIMIZATION OF V-BENDING PROCESS USING ANSYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppf231-f241, December-2024, Available at : http://www.jetir.org/papers/JETIR2412526.pdf

Publication Details

Published Paper ID: JETIR2412526
Registration ID: 546677
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.42710
Page No: f231-f241
Country: Betul, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000282

Print This Page

Current Call For Paper

Jetir RMS