Review on Defect Minimization in Deep Drawing Process

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.