Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining

Author(s):  
Zengya Zhao ◽  
Sibao Wang ◽  
Zehua Wang ◽  
Shilong Wang ◽  
Chi Ma ◽  
...  
2008 ◽  
Vol 594 ◽  
pp. 226-234
Author(s):  
Cheng Shun Chen ◽  
Chi Hui Huang

The surface quality and contouring accuracy of die cavities directly influences the surface roughness of the products. Different types of complex surfaces of products have become popular in product design in recent years and consequently 5-axis machining techniques become a mainstream in the manufacturing of the die and moulds used in products mentioned above, because of their features and flexibility. This research applies Taguchi method to find out a set of optimal machining parameters in five-axis milling process. The table rotating-tilting type five-axis machine is used to perform the experimental cutting. The cavity of die is modeled as convex half spherical surface, and the material of die is NAK 80 die steel. The four parameters studied are cutting speed, feed rate, tool paths, and contact points, and each of these factors has three levels. The target of this study is the feature of smaller-the-better that is minimization of the surface roughness. The experimental results show that the optimal parameters are moderate cutting speed and contact points, higher feed rate, five-axis tool path. ANOVA analysis indicates that the tool path influences the surface roughness most, which accounts for about 86%. Using optimal parameters to machine a roughly machined concave spherical surface can reach its roughness to 0.234μm, and the roundness error about 0.0314mm. It is believed that the results and method presented in the paper give a good reference for industry applied.


2016 ◽  
Vol 15 (03) ◽  
pp. 151-160 ◽  
Author(s):  
M. N. Islam ◽  
A. Pramanik

This paper presents a case study on comparison of Design of Experiments (DOE) via traditional and Taguchi methods in terms of efficiency. First, a three-level, four-parameter, full factorial DOE was conducted for finding the effects of machining parameters on the surface roughness (arithmetic average) of parts produced by turning operation. The results were analyzed applying average response, Taguchi’s [Formula: see text]/[Formula: see text] ratio, and Pareto ANOVA. Subsequently, the same data was analyzed applying Taguchi’s L9 orthogonal array. The comparison of two results revealed that despite an 88.9% savings of experimental runs with the Taguchi method, both methods produced similar results.


2021 ◽  
Vol 11 (10) ◽  
pp. 4620
Author(s):  
Niki Kousi ◽  
Christos Gkournelos ◽  
Sotiris Aivaliotis ◽  
Konstantinos Lotsaris ◽  
Angelos Christos Bavelos ◽  
...  

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.


2021 ◽  
Vol 1874 (1) ◽  
pp. 012063
Author(s):  
Khair Khalil ◽  
A. Mohd ◽  
C. O. C. Mohamad ◽  
Y. Faizul ◽  
S Zainal Ariffin

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 460
Author(s):  
Canbin Zhang ◽  
Chifai Cheung ◽  
Benjamin Bulla ◽  
Chenyang Zhao

Ultrasonic vibration-assisted cutting (UVAC) has been regarded as a promising technology to machine difficult-to-machine materials such as tungsten carbide, optical glass, and hardened steel in order to achieve superfinished surfaces. To increase vibration stability to achieve optical surface quality of a workpiece, a high-frequency ultrasonic vibration-assisted cutting system with a vibration frequency of about 104 kHz is used to machine spherical optical steel moulds. A series of experiments are conducted to investigate the effect of machining parameters on the surface roughness of the workpiece including nominal cutting speed, feed rate, tool nose radius, vibration amplitude, and cutting geometry. This research takes into account the effects of the constantly changing contact point on the tool edge with the workpiece induced by the cutting geometry when machining a spherical steel mould. The surface morphology and surface roughness at different regions on the machined mould, with slope degrees (SDs) of 0°, 5°, 10°, and 15°, were measured and analysed. The experimental results show that the arithmetic roughness Sa of the workpiece increases gradually with increasing slope degree. By using optimised cutting parameters, a constant surface roughness Sa of 3 nm to 4 nm at different slope degrees was achieved by the applied high-frequency UVAC technique. This study provides guidance for ultra-precision machining of steel moulds with great variation in slope degree in the pursuit of optical quality on the whole surface.


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