Chapter 2

Additive Manufacturing Processing and Techniques

Focusing on Laser Powder Bed Fusion (L-PBF) and Its Various Post Processing Technologies

Abhishek Kumar

Abhishek Kumar

Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

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Bijaya Bikram Samal

Bijaya Bikram Samal

Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur, West Bengal, India

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Ashish Kumar Nath

Ashish Kumar Nath

Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

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Shailendra Kumar Varshney

Shailendra Kumar Varshney

Department of Electronics and Electrical Communication, Indian Institute of Technology, Kharagpur, West Bengal, India

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Cheruvu Siva Kumar

Cheruvu Siva Kumar

Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

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First published: 21 May 2025

Summary

This chapter provides an extensive review of various additive manufacturing (AM) processes, with a primary focus on laser powder bed fusion (L-PBF). Through a comprehensive analysis of existing literature, we explore the significant advancements in AM technologies, specifically L-PBF, which has revolutionized the production of complex geometries with superior mechanical properties. This chapter also delves into critical process parameters such as laser power, scan speed, and powder characteristics, and their influence on surface roughness and overall part quality. Additionally, we discussed various post-processing techniques, particularly laser polishing, highlighting their role in enhancing surface integrity and reducing roughness. The interplay between surface texture, fatigue resistance, and corrosion behavior is also analyzed, with particular attention to the impact of heat treatments and surface metrology. The importance of optimizing process parameters and post-processing strategies to achieve higher performance and reliability in AM-produced parts across aerospace, automotive, and medical industries is presented. Our findings contribute to the growing body of knowledge on AM, providing insights for future research and industrial applications.

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