The Influence of Cutting Methods and Feed Rate on Dimensional Accuracy and Surface Roughness of HMR Panel

Article Sidebar

PDF
Published: Jun 1, 2025
DOI: https://doi.org/10.24853/sintek.19.1.1-10

Main Article Content

Bahtiar Rahmat
Polytechnic of Furniture Industry and Wood Processing
http://orcid.org/0000-0003-0852-2586
Wahyu Widiyanto
Polytechnic of Furniture Industry and Wood Processing
Agung Ari Purwanto
Polytechnic of Furniture Industry and Wood Processing
Muhammad Fahrudin
Polytechnic of Furniture Industry and Wood Processing

Abstract

This study investigates the influence of cutting methods and feed rates on the dimensional accuracy and surface roughness of HMR (High Moisture Resistance) panels. The aim is to determine the optimal cutting parameters that yield precise dimensions and smooth surfaces in CNC machining. Two cutting methods—single and double passes—were applied using feed rates of 2, 4, and 6 m/min. Dimensional accuracy was measured using a digital caliper, while surface roughness was evaluated with a surface tester. The results indicate that the double-pass cutting method significantly improves both dimensional accuracy and surface finish. Statistical analysis using ANOVA revealed that feed rate has a significant effect on surface roughness (p < 0.05), whereas dimensional accuracy is primarily influenced by the cutting method. These findings provide practical insights for optimizing CNC machining processes in furniture manufacturing using HMR panels.

Article Details

How to Cite
[1]
B. Rahmat, W. Widiyanto, A. A. Purwanto, and M. Fahrudin, “The Influence of Cutting Methods and Feed Rate on Dimensional Accuracy and Surface Roughness of HMR Panel”, sintek. jurnal. ilm. teknik. mesin, vol. 19, no. 1, pp. 1–10, Jun. 2025.
Issue
Vol. 19 No. 1 (2025): SINTEK JURNAL
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License

  • Articles published in SINTEK JURNAL are licensed under a Creative Commons Attribution-ShareAlike 4.0 International license. You are free to copy, transform, or redistribute articles for any lawful purpose in any medium, provided you give appropriate credit to the original author(s) and SINTEK JURNAL, link to the license, indicate if changes were made, and redistribute any derivative work under the same license.
  • Copyright on articles is retained by the respective author(s), without restrictions. A non-exclusive license is granted to SINTEK JURNAL to publish the article and identify itself as its original publisher, along with the commercial right to include the article in a hardcopy issue for sale to libraries and individuals.
Author Biographies

Bahtiar Rahmat, Polytechnic of Furniture Industry and Wood Processing

Furniture Production Engineering Study Program - Lecturer

Wahyu Widiyanto, Polytechnic of Furniture Industry and Wood Processing

Furniture Production Engineering Study Program - Lecturer

Agung Ari Purwanto, Polytechnic of Furniture Industry and Wood Processing

Furniture Production Engineering Study Program - Lecturer

Muhammad Fahrudin, Polytechnic of Furniture Industry and Wood Processing

Furniture Production Engineering Study Program - Workshop Technician

References

S. Yaghoubi and F. Rabiei, “A profound evaluation of different strategies to improve surface roughness of manufactured part in wood-CNC machining process,” J. Eng. Res., no. June, 2024, doi: 10.1016/j.jer.2024.05.033.

K.-C. Yao, D.-C. Chen, C.-H. Pan, and C.-L. Lin, “The Development Trends of Computer Numerical Control (CNC) Machine Tool Technology,” Mathematics, vol. 12, no. 13, 2024, doi: 10.3390/math12131923.

P. Zheng et al., “Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives,” Front. Mech. Eng., vol. 13, pp. 137–150, 2018, [Online]. Available: https://api.semanticscholar.org/CorpusID:115792435

M. Sterley, E. Serrano, and B. Källander, “18 - Building and construction: Timber engineering and wood-based products,” in Woodhead Publishing Series in Welding and Other Joining Technologies, R. D. B. T.-A. B. (Second E. Adams, Ed., Woodhead Publishing, 2021, pp. 571–603. doi: https://doi.org/10.1016/B978-0-12-819954-1.00021-6.

E. Csanády and E. Magoss, “Mechanics of Wood Machining,” 2013, pp. 1–30. doi: 10.1007/978-3-642-29955-1_1.

J. F. Hunt and C. B. Vick, “Evaluation of coupling agents to manufacture hybrid hardboard made from industrial waste fiberglass and wood fiber,” For. Prod. J., vol. 54, no. 7–8, pp. 35–41, 2004.

N. Fountas, J. Kechagias, and N. Vaxevanidis, “Statistical Modeling and Optimization of Surface Roughness for PLA and PLA/Wood FDM Fabricated Items,” J. Mater. Eng., vol. 1, no. 1, pp. 38–44, 2023, doi: 10.61552/jme.2023.01.005.

S. Jiang et al., “Cutting Force and Surface Roughness during Straight-Tooth Milling of Walnut Wood,” Forests, vol. 13, no. 12, 2022, doi: 10.3390/f13122126.

S. Tiryaki, A. malkoçoğlu, and S. Ozsahin, “Using artificial neural networks for modeling surface roughness of wood in machining process,” Constr. Build. Mater., vol. 66, pp. 329–335, Sep. 2014, doi: 10.1016/j.conbuildmat.2014.05.098.

M. Kukla, “Wood-based boards mechanical properties and their effects on the cutting process during shredding,” Bioresources, vol. 16, no. 4, p. 8006, 2021.

J. P. Davim, V. C. Clemente, and S. Silva, “Surface roughness aspects in milling MDF (medium density fibreboard),” Int. J. Adv. Manuf. Technol., vol. 40, no. 1, pp. 49–55, 2009, doi: 10.1007/s00170-007-1318-z.

K. Koc, E. Erdinler, E. Hazir, and E. Öztürk, Effect of CNC Application Parameters on Wooden Surface Quality. 2015.

P. Deus, M. Alves, F. Vieira, and L. Bilesky, “Analysis of the Cutting Parameters in Front Milling for Medium Density Fiberboard,” BioResources, vol. 13, Mar. 2018, doi: 10.15376/biores.13.2.3404-3410.

B. C. Bal and Z. Gündeş, “Surface roughness of medium-density fiberboard processed with CNC machine,” Meas. J. Int. Meas. Confed., vol. 153, pp. 1–5, 2020, doi: 10.1016/j.measurement.2019.107421.

A. R. Nistelroy, S. Y. Lubis, and A. Riza, “Pengaruh kecepatan potong terhadap keausan dan panjang pemakanan mata pahat keramik alumina pada pembubutan cast iron,” Din. Tek. Mesin, vol. 14, no. 2, p. 152, 2024, doi: 10.29303/dtm.v14i2.862.

Ü. K. İşleyen and M. Karamanoğlu, “Roughness of MDF,” BioResources, vol. 14, no. 2, pp. 3266–3277, 2019.

H. S. Putra, A. S. Rumbiak, S. Y. Lubis, and S. Darmawan, “Pengaruh laju pemakanan proses milling terhadap perubahan temperatur pada pahat endmill karbida,” Din. Tek. Mesin, vol. 14, no. 2, p. 162, 2024, doi: 10.29303/dtm.v14i2.881.

G. Granello, T. Reynolds, and C. Prest, “Structural performance of composite WikiHouse beams from CNC-cut timber panels,” Eng. Struct., vol. 252, p. 113639, 2022, doi: https://doi.org/10.1016/j.engstruct.2021.113639.

Y. Wu, N. Yue, and K. Qian, “Performance Optimization of CNC Machine Tool System Based on Sensor Data,” Sci. Program., vol. 2022, no. 1, p. 5663824, 2022, doi: https://doi.org/10.1155/2022/5663824.

S. Kalpakjian and S. R. Schmid, “Manufacturing Engineering and Technology Forth Edition,” p. 1148, 2000.

P. Bismantolo, F. P. Utama, and A. Kurniawan, “Prediksi kekasaran permukaan baja S45C terhadap parameter pemesinan dan getaran pada proses bubut menggunakan metode artificial neural network,” Din. Tek. Mesin, vol. 13, no. 1, p. 31, 2023, doi: 10.29303/dtm.v13i1.605.

E. Indrawan, Y. A, R. Rifelino, and R. F. U. A. Herianto, “Surface Quality Comparison of Down and Up cut Technique on CNC Milling Machine toward ST-37 Steel Material,” Motiv. J. Mech. Electr. Ind. Eng., vol. 2, no. 1, pp. 11–20, 2020, doi: 10.46574/motivection.v2i1.65.