Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India

Research Article

Statistical Strategies for Enhanced Quality in the 3D Printing Process

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2347022,
        author={Pradeep Kumar  J and Dhivagaran  R R and Smruthi  P and Janani  T and Vasanth Raja  K},
        title={Statistical Strategies for Enhanced Quality in the 3D Printing Process},
        proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India},
        publisher={EAI},
        proceedings_a={ICAMDMS},
        year={2024},
        month={6},
        keywords={printing; taguchi method; quality control; process optimization; statistical analysis; quality tools},
        doi={10.4108/eai.23-2-2024.2347022}
    }
    
  • Pradeep Kumar J
    Dhivagaran R R
    Smruthi P
    Janani T
    Vasanth Raja K
    Year: 2024
    Statistical Strategies for Enhanced Quality in the 3D Printing Process
    ICAMDMS
    EAI
    DOI: 10.4108/eai.23-2-2024.2347022
Pradeep Kumar J1,*, Dhivagaran R R1, Smruthi P1, Janani T1, Vasanth Raja K1
  • 1: PSG College of Technology
*Contact email: jpk.prod@psgtech.ac.in

Abstract

In today's competitive environment, achieving high levels of product quality is crucial for both manufacturing and service industries. This pursuit of quality is essential for maintaining a competitive edge in the market and ensuring customer satisfaction. The study systematically explores various statistical quality tools, and the review delves into the theoretical foundations of each tool, highlighting their specific applications and efficacy in the 3D Printing industry. By integrating the quality tools into the broader quality management framework, the study provides valuable insights by offering a strategic roadmap for optimizing quality control processes. It advocates the informed use of statistical quality tools as indispensable instruments in achieving and sustaining excellence in 3D Printing. The 3D printing process was identified as out of control from the results of various quality control tools, and optimization of process parameters was carried out to enhance the quality of the product.