Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India

Research Article

Review on Defect Minimization in Deep Drawing Process

Download72 downloads
  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2346992,
        author={Rajesh  R and Manivasakam  S and Sanjay  S and Sweeton Vedhamuthu  P and Praveen Kumar  S},
        title={Review on Defect Minimization in Deep Drawing Process},
        proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India},
        publisher={EAI},
        proceedings_a={ICAMDMS},
        year={2024},
        month={6},
        keywords={sheet metal forming deep drawing defects},
        doi={10.4108/eai.23-2-2024.2346992}
    }
    
  • Rajesh R
    Manivasakam S
    Sanjay S
    Sweeton Vedhamuthu P
    Praveen Kumar S
    Year: 2024
    Review on Defect Minimization in Deep Drawing Process
    ICAMDMS
    EAI
    DOI: 10.4108/eai.23-2-2024.2346992
Rajesh R1,*, Manivasakam S1, Sanjay S1, Sweeton Vedhamuthu P1, Praveen Kumar S1
  • 1: PSG College of Technology
*Contact email: rrh.prod@psgtech.ac.in

Abstract

One of the essential metals forming methods used widely in the manufacturing sector to produce intricate, three-dimensional parts is deep drawing. But this process is prone to a number of flaws that can seriously affect the functionality and quality of the finished product. A variety of factors, such as material properties, process parameters, die design, and lubrication, can lead to common defects in deep drawing operations, such as tearing, earing, and wrinkles. By using a thorough and multifaceted approach, this research aims to address the crucial challenge of defects minimization in deep drawing. This study aims to systematically mitigate the occurrence of defects throughout the deep drawing process by integrating advanced finite element analysis (FEA) simulations, material selection optimization, die design modifications, and strategic lubrication techniques and methods. This research aims to both identify and comprehend the underlying causes of defects and suggest practical strategies for their prevention by combining theoretical modeling with real-world experimentation. By doing this, we hope to improve deep drawing processes' dependability and efficiency, which will eventually boost their competitiveness in industrial applications and improve the quality of their output.