Study to Determine the Effect of Blade Distance and Chain Speed on the Productivity of Trench Excavators Using Taguchi Method

• Autorzy: Giang Duong Truong

Identyfikatory

DOI

10.12913/22998624/169427

• Języki publikacji: EN

Abstrakty

EN

Chain trench excavators are widely used in the world for trenching in agriculture, laying underground cables, digging trenches. In this study, the research object is a small chain-type trench excavator. The purpose of the study is to evaluate and select the parameters of the chain loader to the machine productivity and evaluate the results of the experimental machine theory calculation. Experimental measurement parameters include machine speed when working, chain speed, blade distance adjustment on the chain. Research method is to conduct experiments using Taguchi method to design experiments and Minitab software to analyze data. Experimental results and numerical analysis determined that the optimal set of parameters was the distance of 2 cutting edges on the chain, the active sprocket rotation speed for the highest productivity. Compared with the results from the theory using the design, the deviation of the optimal parameters is less than 5%. Experimental process design and parameter influence analysis by Taguchi method, ANOVA analysis have identified reasonable parameters, highest productivity target.

Słowa kluczowe

EN

cutting edge; experimental design; trenching machine; Taguchi method; optimal parameters

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2023
• Tom: Vol. 17, no 4
• Strony: 139--149
• Opis fizyczny: Bibliogr. 15 poz., fig., tab.

Twórcy

autor

Giang Duong Truong

• Department of Construction Machinery, Faculty of Mechanical Engineering, Hanoi University of Civil Engineering, 55 Giai Phong Road, Hai Ba Trung District, Hanoi, 100000, Vietnam

• https://orcid.org/0009-0007-7675-8028

Bibliografia

• 1. Letopolsky A.B., Korchagin P.A., Teterina I.A., Demidenko A.I. Trencher equipment. E3S Web of Conferences. 2020; 193: 01047. https://doi. org/10.1051/e3sconf/202019301047
• 2. Delesa K., Hirpa G.L. Design and Modelling of a Light Duty Trencher for Local Conditions. Advances in Science and Technology Research Journal. 2018; 12(1): 303–311. https://doi. org/10.12913/22998624/85661
• 3. Mellor M. Mechanics of cutting and boring, part III: Kinematics of continuous belt machines. USA Cold Regions Research and Engineering Laboratory, CRREL Report, 1976.
• 4. Teterina I.A., Korchagin P.A., Letopolsky A.B. Investigation of Soil Destruction by Trench Chain Excavator Cutting Element Process. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 4th International Conference on Industrial Engineering. ICIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. 2019, https://doi.org/10.1007/978-3-319-95630-5_229
• 5. Diep D.D. Analysis the Factors Affecting Convey- ance Rate of Unbucket Chain Trenching Machine. Agricultural, Forest and Transport Machinery and Technologies. 2017; 4(1): 38–44.
• 6. Ghonimy M.I. Prediction the Performance Rate of Chain type Trenching Machine. Turkish Journal of Agricultural Engineering Research. 2021; 2(2): 390–402. https://doi.org/10.46592/turkager.2021. v02i02.012
• 7. Kim J., Kwon O.S., Hai N.L.D., Ko J.H. Study on the Design of an Underwater Chain Trencher via a Genetic Algorithm. Journal of Marine Science and Engineering. 2019; 7(12), 429. https://doi. org/10.3390/jmse7120429
• 8. Kravets S., Suponyev V., Goponov A., Kovalevkyi S., Koval A.determining efficient operating modes and sizes of blades for multi-scraper trench excavators. Eastern-European Journal of Enterprise Technologies. 2020; 4/1(106): 23–28. https://doi.org/10.15587/1729-4061.2020.208957
• 9. Kravchenko S.M., Slepchenko V.A., Slepchenko I.V. Determination of Optimal Frequency to Replace Cutting Elements in Chain Trenchers. IOP Conf. Series: Materials Science and Engineering. 2021; 1118: 012026. https://doi. org/10.1088/1757-899X/1118/1/012026
• 10. Giang D.T., Truong T.V., Dung N.T. Study on the Design and Adjustment of the Driven of the Chain Trencher. Journal of Science and Technology in Civil Engineering. 2022; 16(3V): 150–161. https:// doi.org/10.31814/stce.huce(nuce)2022-16(3V)-12
• 11. Ghonimy M., Rahman E.A.B., Alzoheiry A. MatheMatical Prediction of excavating force and Power of chain type trenching Machine. Acta Technologica Agriculturae 4, Nitra, Slovaca Universitas Agriculturae Nitriae. 2022; 197–204. https://doi. org/10.2478/ata-2022-0029
• 12. Gerlici J., Musiiko V., Koval A., Nikolaenko V., Lazaruk J., Lack T., Kravchenko K. Experimental Analysis of the Universal Continuous Digging Machine Working Processes. Manufacturing Technology. 2020; 20(4). https://doi.org/10.21062/ mft.2020.066
• 13. Krishnaiah K., Shahabudeen P. Applied design of experiments and Taguchi methods. PHI Learning Private Limited, New Delhi, 2012.
• 14. Ranjit K.R. A primer on the Taguchi method, Society of Manufacturing Engineers, 2010.
• 15. Chen H.J., Lin H.C., Tang C.W. Application of the Taguchi Method for Optimizing the Process arameters of Producing Controlled Low-Strength Materials by Using Dimension Stone Sludge and Lightweight Aggregates. Sustainability. 2021; 13: 5576. https://doi.org/10.3390/su13105576

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).