Main Article Content

Abstract

Purpose of the study: Additive layer manufacturing is basically different from the traditional formative manufacturing process where a complete structure can be constructed into designed shape from layer to layer manufacturing rather than other methods or casting, forming or other machining processes. Additive layer manufacturing is a highly versatile, flexible, and customizable.


Methodology: In this paper, we discussed high-performance computing and process control of AM methods by using different parameters. The significant interest in making complex, innovative and robust products by using AM methods to great extent to deal with work is needed in AM challenges relevant to key enabling technologies namely different materials and metrology to achieve functionally and reproductive ways.


Main Findings: In this paper, we discussed major processes that highly accurate and the key applications, challenges and recent developments of future additive Am processes.


Applications of this study: Additive layer manufacturing methods to develop the most highly and controlled methods for producing a variety of complex shapes and structures. The significant role of AM layer technology is to make produce the most economical and highly effective methods. In this study, we compared different AM methods for achieving the most highly and controlled methods of AM technology.


Novelty/Originality of this study: Today manufacturing trends are very highly impacted by technologies globalizations. Various manufactures are using layer manufacturing into their best practices so that they can be changes in the global economy and manufacturing.

Keywords

Polymers Additive Layer Manufacturing 3D Printing Rapid Prototyping CAD Machining FDM

Article Details

How to Cite
Pandey, R., & Salodkar, S. (2020). HIGH PERFORMANCE COMPUTING AND PROCESS CONTROL OF ADDITIVE LAYER MANUFACTURING METHODS FOR POLYMER PRODUCT METAL TOOLS PRODUCTION. International Journal of Students’ Research in Technology & Management, 8(3), 20-25. https://doi.org/10.18510/ijsrtm.2020.834

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