Surface Roughness and Finish Quality

Một phần của tài liệu Advances automation techniques in adaptive material processing (Trang 103 - 109)

The surface roughness of six vanes were measured on both concave and convex sides, and tabulated in Table 2. The average roughness ranges from

1.022 to 1.4 microns Ra, better than the required 1.6 microns Ra.

Vanes before and after blending are shown in Figure 20. A very smooth airfoil profile was achieved by the SMART system. Further visual

inspection shows no visible transition lines from the non-brazed area to the brazed one, no visible blending marks in the cutting path overlap areas, and no burning marks. The curvature transition from the concave to convex airfoil is very smooth and more consistent than the one generated by manual blending.

Table 2 Roughness measurement results.

Vane no.

1 2 3 4 5 6

i?a(um) Convex 1.378 1.059 1.228 1.003 1.197 1.196

Concave 1.417 1.090 1.086 1.041 0.936 0.980

Average Ra

(urn) 1.400 1.075 1.157 1.022 1.067 1.088

Figure 20 Vanes before (left) and after (right) robotic grinding and polishing.

It is worth noting that the consistency of finish profiles also benefits the downstream laser drilling operation. If the finish profile is not consistent in terms of wall thickness, airfoil shape and leading edge position, the cooling holes generated by the laser machine may converge, and affect the aerodynamic performance of the engine, and in many cases be rejected by Quality Assurance. In the automated system, such failure is minimised, if not eliminated.

7.3 Wall Thickness

Following the existing practice in the aerospace overhaul industry, the wall thickness needs to be quantified. Minimum wall thickness must be maintained in order not to undermine the airfoil strength. In the selected case, seven points are measured against the minimum wall thickness, points

#1 to #7 in Figure 21.

Figure 21 Positions of checking points.

Figure 22 plots the minimum wall thickness, and the measurement results for three vanes. It shows that all measurements at the designated seven points are above the minimum wall thickness. Figure 23 shows the samples of sectioned airfoils. Trailing edge thickness is maintained, and the smooth curvature of leading edge is confirmed.

0.12 T 1

0.02

0 J , , , , , 1

1 2 3 4 5 6 7

Checking Point

Figure 22 Results of wall thickness measurement.

Figure 23 Cross sections of polished vanes: leading edge (left) and trailing edge (right).

8. Concluding Remarks

In a concerted effort, we have successfully developed a Knowledge-Based Adaptive Robotic System for 3D Profile Grinding and Polishing. Around the finishing robot, Self-Aligned End-effector (SAE), Passive Compliant Tools (PCT) and In-Situ Profile Measurement (IPM) system have been developed. Template-based Optimal Profile Fitting (OPF) algorithm, and Adaptive Robot Path Planner (ARP) have been developed to overcome the part distortions inherent in component overhaul and to satisfy force and compliance control required for robotic blending. The technological modules have been built into the first working prototype SMART 3D Grinding/Polishing System.

The synergistic combination of hardware and software solutions enables the SMART system to meet stringent quality requirements and design criteria, such as profile smoothness, surface roughness, leading edge transition and height, minimum wall thickness, removal of transition lines between brazed and non-brazed areas, etc. The SMART system, the first of its kind for blending distorted airfoils, has been benchmarked against critical quality measures, and satisfies all product and process requirements.

It shortens the cycle time from 10 minutes (manual blending) to an average of 5.75 minutes, resulting in an improvement of 42.5%. It has since been installed for production use.

The technological breakthrough lays a strong foundation for future explorations of robotic machining for other advanced applications, such as overhauling fan blades (currently done by operator-assisted CNC), and manufacturing new aircraft components. Another challenge is to automate the finishing process of precision mechanical components such as 3D

moulds, which is still accomplished manually despite earlier attempts by various schools worldwide.

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