Technology overview of metal additive manufacturing processes

Kumar, Santosh; Anthuvan, R. Naveen; Anand, K.; Raj, S. Sanjith; Dhaman, P. M. Sachin; Kumar, M. Santhosh

doi:10.1063/5.0095646

Cited by 1 publication

(1 citation statement)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As illustrated in Figure 4, this value indicates the duration of the laser's interaction with the deposited material and substrate. The scanning speed is increased in the DMD process by either moving the laser source against a substrate attached to a stationary building platform or by moving a substrate on a CNC five-axis table against a fixed laser head [17]. Scanning speed is a critical component that can affect the quality of the final result.…”

Section: Scanning Speedmentioning

confidence: 99%

Review on surface characteristics of components produced by direct metal deposition process

Kumar

Anand

et al. 2022

JMES

View full text Add to dashboard Cite

Direct metal deposition (DMD) is a metal additive manufacturing (AM) process that builds objects layer by layer. The surface properties of DMD components are discussed in this study. The fluctuation of surface attributes such as roughness, finish, texture, and so on as a function of operation parameters has been investigated for a number of materials. This research assists in identifying the optimal process parameters for the material chosen, such as material feed rate, gas flow rate, and laser power, in order to generate the best surface characteristics. The results show that wire feed deposition surpasses powder feed deposition. The laser power and scanning speed of the laser were found to be the most influential process parameters. The study results reveal that the optimum process parameter combinations are material specific and is the keyfactor for obtaining better products with reduced surface roughness and waviness. The microstructural study also explores the material specfic effect in processs parameter combinations. This research could be used to determine or predict the best process parameters for a wide range of industrial materials.

show abstract

Section: Scanning Speedmentioning

confidence: 99%