Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing
Research Article  ·  Published: 09 September 2026
Issue cover
ICCK Transactions on Intelligent Cyber-Physical Systems
Volume 1, Issue 3, 2026: 86-92
Research Article Open Access

Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing

1 Jinhua Institute of Electromechanical Product Simulation Technology, Jinhua, China
* Corresponding Author: Lizhen Li, [email protected]
Volume 1, Issue 3
You have full access to this open access article · CC BY 4.0 License

Article Information

Abstract

A flexible CNC machining system is developed for panel furniture manufacturing to improve equipment adaptability and reduce non-machining time in customized production. The proposed system integrates a modular machining structure, multi-axis motion platform, automatic positioning fixtures, and a digital control system to enable flexible drilling and grooving operations. A machining path optimization strategy is introduced to reduce unnecessary tool movements. Experiments on medium-density fiberboard (MDF) panels demonstrate that the optimized method reduces machining time from 986~s to 654~s for 20 machining tasks and from 1248~s to 812~s for 25 tasks. The proposed equipment achieves a positioning error of 0.04--0.06~mm in repeated tests, showing improved machining stability compared with conventional equipment. The results verify the effectiveness of the proposed approach for small-batch and multi-variety panel furniture manufacturing.

Graphical Abstract

Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing

Keywords

Panel furniture flexible CNC machining modular design path optimization positioning accuracy smart manufacturing

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

AI Use Statement

The authors declare that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

References

  1. De Toni, A., & Tonchia, S. (1998). Manufacturing flexibility: a literature review. International journal of production research, 36(6), 1587-1617.
    [CrossRef] [Google Scholar]
  2. Y. Koren, The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems. Hoboken, NJ, USA: Wiley, 2010.
    [CrossRef] [Google Scholar]
  3. Mehrabi, M. G., Ulsoy, A. G., & Koren, Y. (2000). Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent manufacturing, 11(4), 403-419.
    [CrossRef] [Google Scholar]
  4. Tolio, T. (2008). Design of flexible production systems. Berlin/Heidelberg, Germany: Springer.
    [CrossRef] [Google Scholar]
  5. Kusiak, A. (2018). Smart manufacturing. International journal of production Research, 56(1-2), 508-517.
    [CrossRef] [Google Scholar]
  6. Lu, Y., Xu, X., & Wang, L. (2020). Smart manufacturing process and system automation–a critical review of the standards and envisioned scenarios. Journal of manufacturing systems, 56, 312-325.
    [CrossRef] [Google Scholar]
  7. Mourtzis, D., Vlachou, E., & Milas, N. J. P. C. (2016). Industrial big data as a result of IoT adoption in manufacturing. Procedia cirp, 55, 290-295.
    [CrossRef] [Google Scholar]
  8. Luo, Y., & Xu, W. (2023). Optimization of panel furniture plates rework based on intelligent manufacturing. Bioresources, 18(3), 5198.
    [CrossRef] [Google Scholar]
  9. Bi, Z. M., Lang, S. Y., Shen, W., & Wang, L. (2008). Reconfigurable manufacturing systems: the state of the art. International journal of production research, 46(4), 967-992.
    [CrossRef] [Google Scholar]
  10. Chryssolouris, G. (2006). Manufacturing systems: theory and practice. New York, NY: Springer New York.
    [CrossRef] [Google Scholar]
  11. Xu, X. (2009). Integrating advanced computer-aided design, manufacturing, and numerical control: Principles and implementations. IGI Global. https://dl.acm.org/doi/10.5555/1538386
    [Google Scholar]
  12. Pajaziti, A., Tafilaj, O., Gjelaj, A., & Berisha, B. (2025). Optimization of toolpath planning and CNC machine performance in time-efficient machining. Machines, 13(1), 65.
    [CrossRef] [Google Scholar]
  13. Bortolini, M., Galizia, F. G., & Mora, C. (2018). Reconfigurable manufacturing systems: Literature review and research trend. Journal of manufacturing systems, 49, 93-106.
    [CrossRef] [Google Scholar]
  14. Mourtzis, D., Doukas, M., & Bernidaki, D. (2014). Simulation in manufacturing: Review and challenges. Procedia Cirp, 25, 213-229.
    [CrossRef] [Google Scholar]
  15. Baumann, D., Mager, F., Wetzker, U., Thiele, L., Zimmerling, M., & Trimpe, S. (2020). Wireless control for smart manufacturing: Recent approaches and open challenges. Proceedings of the IEEE, 109(4), 441-467.
    [CrossRef] [Google Scholar]
  16. Gawroński, T. (2013). Optimisation of CNC routing operations of wooden furniture parts. The International Journal of Advanced Manufacturing Technology, 67(9), 2259-2267.
    [CrossRef] [Google Scholar]

Cite This Article

APA Style
Li, L., & Jin, H.(2026). Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing. ICCK Transactions on Intelligent Cyber-Physical Systems, 1(3), 86-92. https://doi.org/10.62762/TICPS.2026.403794
Export Citation
RIS Format
Compatible with EndNote, Zotero, Mendeley, and other reference managers
TY  - JOUR
AU  - Li, Lizhen
AU  - Jin, Hongying
PY  - 2026
DA  - 2026/09/09
TI  - Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing
JO  - ICCK Transactions on Intelligent Cyber-Physical Systems
T2  - ICCK Transactions on Intelligent Cyber-Physical Systems
JF  - ICCK Transactions on Intelligent Cyber-Physical Systems
VL  - 1
IS  - 3
SP  - 86
EP  - 92
DO  - 10.62762/TICPS.2026.403794
UR  - https://www.icck.org/article/abs/TICPS.2026.403794
KW  - Panel furniture
KW  - flexible CNC machining
KW  - modular design
KW  - path optimization
KW  - positioning accuracy
KW  - smart manufacturing
AB  - A flexible CNC machining system is developed for panel furniture manufacturing to improve equipment adaptability and reduce non-machining time in customized production. The proposed system integrates a modular machining structure, multi-axis motion platform, automatic positioning fixtures, and a digital control system to enable flexible drilling and grooving operations. A machining path optimization strategy is introduced to reduce unnecessary tool movements. Experiments on medium-density fiberboard (MDF) panels demonstrate that the optimized method reduces machining time from 986~s to 654~s for 20 machining tasks and from 1248~s to 812~s for 25 tasks. The proposed equipment achieves a positioning error of 0.04--0.06~mm in repeated tests, showing improved machining stability compared with conventional equipment. The results verify the effectiveness of the proposed approach for small-batch and multi-variety panel furniture manufacturing.
SN  - 3071-2947
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Li2026Design,
  author = {Lizhen Li and Hongying Jin},
  title = {Design and Performance Evaluation of Flexible CNC Machining Equipment for Panel Furniture Manufacturing},
  journal = {ICCK Transactions on Intelligent Cyber-Physical Systems},
  year = {2026},
  volume = {1},
  number = {3},
  pages = {86-92},
  doi = {10.62762/TICPS.2026.403794},
  url = {https://www.icck.org/article/abs/TICPS.2026.403794},
  abstract = {A flexible CNC machining system is developed for panel furniture manufacturing to improve equipment adaptability and reduce non-machining time in customized production. The proposed system integrates a modular machining structure, multi-axis motion platform, automatic positioning fixtures, and a digital control system to enable flexible drilling and grooving operations. A machining path optimization strategy is introduced to reduce unnecessary tool movements. Experiments on medium-density fiberboard (MDF) panels demonstrate that the optimized method reduces machining time from 986~s to 654~s for 20 machining tasks and from 1248~s to 812~s for 25 tasks. The proposed equipment achieves a positioning error of 0.04--0.06~mm in repeated tests, showing improved machining stability compared with conventional equipment. The results verify the effectiveness of the proposed approach for small-batch and multi-variety panel furniture manufacturing.},
  keywords = {Panel furniture, flexible CNC machining, modular design, path optimization, positioning accuracy, smart manufacturing},
  issn = {3071-2947},
  publisher = {Institute of Central Computation and Knowledge}
}

Article Metrics

Citations
Crossref
0
Scopus
0
Views
31
PDF Downloads
8

Publisher's Note

ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and Permissions

CC BY Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
ICCK Transactions on Intelligent Cyber-Physical Systems
ICCK Transactions on Intelligent Cyber-Physical Systems
ISSN: 3071-2947 (Online)
Portico
Preserved at
Portico