This study presents the design and integration of a 3D printing system enhanced with an automatic dimension measurement mechanism to achieve high-precision additive manufacturing. The proposed setup incorporates an infrared pyrometer for real-time, non-contact temperature monitoring, which plays a vital role in maintaining dimensional accuracy during the printing process. The system is engineered to perform continuous feedback-based adjustments to ensure optimal print quality. Communication between the 3D printer’s control unit and the measurement system is facilitated via a Controller Area Network (CAN) interface, enabling synchronized operation and rapid response to detected deviations. This integrated approach significantly improves the reliability and consistency of printed components by minimizing dimensional errors and thermal distortions. The developed system holds substantial potential to elevate production standards in precision-critical industries such as aerospace, automotive, biomedical, and advanced manufacturing. By embedding quality control directly into the printing process, the research demonstrates a forward step in creating intelligent, self-correcting 3D printing systems suitable for industrial-scale applications.

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Design and Integration of 3D Printers with Automatic Dimension Measurement System for High-Precision Prints

  • Pritish Chitte,
  • Bhagyesh Deshmukh,
  • Vijay Anant Athavale,
  • Aishwarya Kondabattini

摘要

This study presents the design and integration of a 3D printing system enhanced with an automatic dimension measurement mechanism to achieve high-precision additive manufacturing. The proposed setup incorporates an infrared pyrometer for real-time, non-contact temperature monitoring, which plays a vital role in maintaining dimensional accuracy during the printing process. The system is engineered to perform continuous feedback-based adjustments to ensure optimal print quality. Communication between the 3D printer’s control unit and the measurement system is facilitated via a Controller Area Network (CAN) interface, enabling synchronized operation and rapid response to detected deviations. This integrated approach significantly improves the reliability and consistency of printed components by minimizing dimensional errors and thermal distortions. The developed system holds substantial potential to elevate production standards in precision-critical industries such as aerospace, automotive, biomedical, and advanced manufacturing. By embedding quality control directly into the printing process, the research demonstrates a forward step in creating intelligent, self-correcting 3D printing systems suitable for industrial-scale applications.