Development of Automated Virtual CNC Router for Application in a Remote Mechatronics Laboratory

Author(s):  
Miguel A. Garcia Martinez ◽  
Irma Y. Sanchez ◽  
Fernando Martell Chavez
Keyword(s):  
Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 440
Author(s):  
Aldo Joel Villa Silva ◽  
Luis Pérez-Domínguez ◽  
Erwin Martínez Gómez ◽  
David Luviano-Cruz ◽  
Delia Valles-Rosales

Dimensional analysis under linguistic Pythagorean fuzzy set (DA-LPFS) is a technique to handle qualitative (intangible) as well as the interactions between criteria, by combining dimensional analysis (DA) and Pythagorean fuzzy set (PFS) with linguistic variables. In this paper, a novel DA method is proposed for LPFSs based in a PFS extension, in order to consider the mutual relationship among criteria and handle qualitative (fuzzy) and quantitative (crisp) information usually involved in Multi-criteria decision making (MCDM) problems. Finally, DA-LPFS is applied to handle a case concerning the selection of CNC router to illustrate the applicability of the method.


2019 ◽  
Vol 4 (2) ◽  
pp. 86
Author(s):  
Adi Nugroho ◽  
Sujadi Sujadi

This study aims to determine the effect of using CNC routers on the standard production time of ornament products at PT Victory Synergy. CNC itself is a machine that is controlled through numeric and letter codes (numerics) which consists of three main components, namely the computer, interface, and actuator system. The research method used in this study is a quantitative approach. Information or research data is obtained through observation, literature studies and interviews with production operators. Based on the results of measurements that have been done, it shows that the existence of CNC routers on the production floor was able to shorten the production stages that were previously carried out to reduce the production cycle time to reach 63.97 minutes or ± 1 hour from the previous production process. This condition also proves that the design of these simple CNC routers can shorten the standard production time that occurs at PT Victory Synergy


2020 ◽  
Vol 1450 ◽  
pp. 012094
Author(s):  
K Bangse ◽  
A Wibolo ◽  
I K E H Wiryanta
Keyword(s):  

2018 ◽  
Vol 18 (2) ◽  
pp. 40-42
Author(s):  
M.A. Păun ◽  
A.A. Doroftei ◽  
G.A. Tudor ◽  
I. Moldovan

AbstractThe CNC (Computer numerical control) is a machine that processes different kinds of materials at different types of precisions, determined by the system used to realize the transmission from the motor to the axes. In our project, we used the screw nut transmission because it offers a great precision and it has an optimal price-quality ratio.


OPSI ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 244
Author(s):  
Dewa Kusuma Wijaya ◽  
Pramudi Arsiwi
Keyword(s):  

BioResources ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 5133-5147
Author(s):  
Hüseyin Pelit ◽  
Mustafa Korkmaz ◽  
Mehmet Budakçı

The effects of different machining parameters on surface roughness values of thermally treated pine, beech, and linden woods cut in a computer numerical control (CNC) router machine were examined. Wood specimens were thermally treated at 170, 190, and 210 °C for 2 h. Then, specimens were cut in the radial and tangential directions with three different spindle speeds (12000, 15000, and 18000 rpm) and three different feed rates (3000, 4000, and 6000 mm/min) using two different end mill tools (spiral and straight) on the CNC machine. The end mill type significantly affected the roughness values of the untreated and thermally treated specimens in both directions. Lower roughness values were found in the specimens (especially pine) machined with the straight end mill compared to those machined with the spiral end mill. Roughness generally decreased in the thermally treated specimens. However, thermal treatment temperature did not have a notable effect on roughness. As the spindle speed increased, the roughness values of all specimens decreased. In contrast, as the feed rate increased, the roughness values increased. Therefore, the end mill type, feed rate, and spindle speed were the most influential parameters on the roughness.


2020 ◽  
Vol 39 (5) ◽  
pp. 6259-6269
Author(s):  
Ahmet Aktas ◽  
Serhat Aydin ◽  
Mehmet Kabak

To cut several types of hard materials in manufacturing, Computer Numeric Control (CNC) router machines are commonly used. The tasks to be done by different machines can be performed by a single CNC router machine. Production of parts with better quality is possible at lower costs by production with CNC router machines, and these machines improve the productivity of manufacturing system. For these reasons, determination of the appropriate CNC router machine for manufacturing systems is a crucial decision. Different factors related to properties of machines are effective on the decision. Therefore, decision makers must include different effective aspects into decision process. Under this consideration, an analytic selection procedure for CNC router machines by taking uncertain expressions of experts on the selection criteria and variable values occur over time is proposed in this study. In order to handle the modelling difficulty of uncertainty of the statements and the value changes by time, dynamic intuitionistic multi attribute decision making is used to select the best CNC router. Applicability of the proposed selection procedure is demonstrated on an application, and a comparative analysis with dynamic neutrosophic multi attribute decision making is presented.


2017 ◽  
Vol 23 (5) ◽  
pp. 4388-4391 ◽  
Author(s):  
Jayson P Rogelio ◽  
Renann G Baldovino ◽  
Allan John S Limson ◽  
Fred P Liza ◽  
Jonathan Q Puerto

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