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ADVANTAGES AND CHALLENGES OF ADDITIVE MANUFACTURING: A BREAKTHROUGH IN AEROSPACE MANUFACTURING

Journal: International Journal of Research in Aeronautical and Mechanical Engineering (Vol.12, No. 3)

Publication Date:

Authors : ;

Page : 01-14

Keywords : Additive manufacturing; Aerospace manufacturing; 3D printing; Aerospace engineering;

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Abstract

In the aerospace industry, additive manufacturing (AM) has become a game-changer, transforming performance optimization, production procedures, and component design. This study explores AM's significant influence on aerospace manufacturing, outlining its many benefits and discussing the obstacles that still need to be addressed. Engineers have been able to push the frontiers of aircraft design, resulting in increased aerodynamics, fuel efficiency, and general functioning, due to their capacity to develop complex geometries and lightweight structures. In addition, the integration of several components into a single integrated part has improved structural integrity, decreased failure sites, and expedited assembly processes. The product development cycle has been sped up by rapid prototyping capabilities, allowing for performance validation and incremental improvements at a never-before-seen rate. Component personalization and customization have created new opportunities for specialized solutions meeting particular needs and preferences. Notably, AM has proven that it can streamline supply chains, cut down on material waste, and encourage environmentally friendly production methods, all of which are in line with the industry's environmental responsibility objectives. To fully realize AM's disruptive potential, nevertheless, issues like size restrictions, consistency in quality, scaling issues, and materials development must be resolved. Despite these challenges, the future of the aerospace sector is closely tied to the advancement of additive manufacturing (AM), with continuous research and development aimed at optimizing material qualities, boosting process control, and increasing the scalability of AM methods.

Last modified: 2024-03-21 18:23:32