location:Home > 2025 Vol.8 Oct.N05 > Multi-Format Collaborative Error Compensation Technology for Mechanical 3D Printing

2025 Vol.8 Oct.N05

  • Title: Multi-Format Collaborative Error Compensation Technology for Mechanical 3D Printing
  • Name: Yize Wang
  • Company: Chair for Digital Additive Production DAP, RWTH Aachen, Campus-Boulevard 73, Aachen, Germany
  • Abstract:

     Conventional 3D printing error compensation methods typically involve measuring the actual dimensions of printed parts using equipment, comparing them with theoretical design dimensions to derive error values, and then manually adjusting print paths or device parameters based on geometric relationships. However, this approach often overlooks multi-format data fusion during printing and complex error coupling relationships, resulting in poor compensation accuracy. To address this, a multi-format collaborative mechanical 3D printing error compensation technique is proposed. By integrating model data from multiple formats such as STL and OBJ, analyzing geometric features of single-layer solid contours, and combining printing process parameters, potential errors are predicted. A geometric adaptive error compensation method is employed to correct errors in machining contour segments. Experimental models encompassing diverse geometric features are designed, and curve contours are fitted using polyline approximation. A training dataset incorporating printing parameters and error parameters is constructed. A residual neural network is trained using the mean squared error loss function to output error compensation values. Experimental validation confirms the proposed method's compensation accuracy. Comparative test results demonstrate that after applying the proposed error compensation, the average fit between the printed trajectory and the desired trajectory reaches 0.96, achieving highly satisfactory compensation performance.


  • Keyword: Multi-format collaboration; Machinery; 3D printing; Error compensation; Compensation accuracy;
  • DOI: 10.12250/jpciams2025091007
  • Citation form: Yize Wang.Multi-Format Collaborative Error Compensation Technology for Mechanical 3D Printing[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.
Reference:

[1] Werkle K T , Trage C , Wolf J ,et al.Generalizable process monitoring for FFF 3D printing with machine vision[J].Production Engineering, 2024, 18(3):593-601.

[2] Liu L, Li J, Zhao W, et al. Research on the large-format splicing method for stamping-type digital light processing 3D printing[J]. The International Journal of Advanced Manufacturing Technology, 2025, 136(11-12).

[3] Tong Q, Xiao S, Yi L I, et al. Research Progress on 3D Printing Technology in the Field of Space Food Processing[J]. Food Science, 2024, 45(18):299-306.

[4] Yeh C H, Lin H Y. Using 3D printing technology to replace the manufacturing process of a headlight lens[J]. Applied Optics, 2025, 64(3):488-497.

[5] Kaijage D J, Lee B J. Correction: Multiphysics Simulation of Continuous Liquid Interface Production (CLIP) 3D Printing Technology[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 2025, 12(2):781-781.

[6] Tomei V, Grande E, Imbimbo M, et al. 3D-printing technology for integrating the rehabilitation and monitoring of civil structures with fiber optics[J]. Procedia Structural Integrity, 2024, 64(000):901-907.

[7] Yuan J, Xiao H, Li X, et al. The effect of digital orthopedic 3D printing technology on the surgical treatment of intertrochanteric fractures of the femur: A meta-analysis[J]. Medicine, 2025, 104(17):e42193-6.

[8] Zhang G, Li J, Zhou X, et al. Research on Design and Performance of High-Performance Porous Structure Based on 3D Printing Technology[J]. Journal of Materials Engineering and Performance, 2025, 34(8):7103-7112.

[9] Darsin M, Pamungkas W J, Syuhri S N H, et al. Advanced optimization of drone frame design through the application of generative design techniques and 3D printing technology[J]. Journal of Mechanical Science and Technology, 2025, 39(1):119-128.

[10] Carbajo J, Nam S H, Fang N X. Fabrication of Micro-Perforated Panel (MPP) sound absorbers using Digital Light Processing (DLP) 3D printing technology[J]. Applied acoustics, 2024, 216(Jan.):109788.1-109788.7.

[11] Viswanath VR, Hiremath S, Chiniwar DS. Using extrusion-based 3D printing technology to investigate the impact of changing print conditions on tensile characteristics[J]. Rapid Prototyping Journal, 2024, 30(5):987-999.

[12] Chu W, Zhao J, Ma X, et al. Lightweight high-heat-resistance zirconia ceramic lattice screws prepared by photocuring 3D printing technology[J]. Ceramics International, 2025, 51(8):9970-9977.

[13] Shi W, Wang J, Gao J, et al. Utilization of 3D printing technology in hepatopancreatobiliary surgery[J]. Journal of Zhejiang University-Science B(Biomedicine & Biotechnology), 2024, 25(2):123-134.

[14] Liu Q, Jingkai W U, Wentao H U, et al. Application of cement-based 3D printing technology in rock mechanics teaching experiments[J]. Experimental Technology and Management, 2024, 41(9):199-205.

[15] Feng Y, Chen Y. Design and Fabrication of Magnetoelectric Dipole Antennas Using Metal 3D Printing Technology[J]. 2024 IEEE 12th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2024:1-2.


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16