An Improved Abrasive Flow Processing Method for Complex Geometric Surfaces of Titanium Alloy Artificial Joints

Zhang, Li; Yuan, Zhi-min; Tan, Dapeng; Huang, Yi

doi:10.3390/app8071037

Cited by 19 publications

(10 citation statements)

References 57 publications

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“…Sun et al 42 conducted a simulation study of the SAF in the constrained flow channel using the wall function method and the turbulent model and obtained the distribution of the parameters in the flow channel, for instance the turbulent kinetic energy, the velocity, the dynamic pressure, and the wall shear stress of abrasive flow; thus, a method to change the structure of the constrained module was proposed to optimize and regulate the turbulent flow of the abrasive particle in the constrained flow channel. Zhang et al 43 proposed an improved abrasive flow processing method and provided a new material removal model of abrasive flow to reveal the processing regularities for complex geometric surfaces of titanium alloy artificial joints. The numerical and processing experiment results indicated that the proposed material removal model can estimate the processing effects and removal regularities, and the size accuracy and surface quality of the titanium alloy surface are improved.…”

Section: Introductionmentioning

confidence: 99%

“…The turbulence intensity of SAF in the constrained flow passage is the key factor to determine the processing effects. Relevant scholars [34][35][36][37][38][39][40][41][42][43] have carried out a series of research works about the designs of the sliding constrained module, dual-inlet constrained flow channel, hedging perturbation flow channel, and the structure of changing confined flow channel, in which the processing efficiency and polishing uniformity have been improved. Obviously, the SAF finishing is a new effective method for precision processing on the complex structured surfaces of the mold.…”

Section: Introductionmentioning

confidence: 99%

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An ultrasonic-assisted soft abrasive flow processing method for mold structured surfaces

Zhu

2019

Advances in Mechanical Engineering

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As a fluid-based precise processing method, soft abrasive flow processing has been widely used in advanced electromechanical systems, complex mold manufacturing, and other engineering fields. Because of the low volume fraction of abrasive particles and micro-force/cutting removal characteristics, there exists a potential improvement in terms of processing efficiency and uniformity. In view of the above problems, this article presents an ultrasonic-assisted soft abrasive flow processing method. Based on the realizable k–ε turbulence model and the mixture flow model, an ultrasonic coupling enhancement dynamic model for soft abrasive flow is set up, and the kinetic energy transport equation of realizable k–ε turbulence model can be revised. Using particle image velocimetry technology, an on-line observation experimental platform for ultrasonic-assisted soft abrasive flow is developed to conduct the real-time acquisition of abrasive flow state and particle distribution in a constrained flow passage. An ultrasonic-assisted soft abrasive flow processing experimental platform is established to complete the processing experiment. The experimental results show that the ultrasonic excitation vibration can effectively enhance the turbulence intensity and distribution uniformity of the abrasive flow, the average processing time can be shortened by more than 6 h, and a better surface quality can be obtained.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An ultrasonic-assisted soft abrasive flow processing method for mold structured surfaces

Zhu

2019

Advances in Mechanical Engineering

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“…Both solutions inherently involve the band-pass filter (BPF), rectifier or absolution algorithm and low-pass filter (LPF) to isolate the fundamental ripples of the coil current and voltage. Lu et al [ 17 ], Zhang et al [ 18 , 19 ], Pan et al [ 20 ] and Tan et al [ 21 , 22 ] investigated the digital model of amplitude demodulation. Similarly, Yu et al [ 23 ] and Li et al [ 24 , 25 ] improved the estimation accuracy using an accurate analytical model in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

Synchronous Sampling-Based Direct Current Estimation Method for Self-Sensing Active Magnetic Bearings

Wang

et al. 2020

Sensors

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Active magnetic bearings (AMBs) commonly use pulse-width modulation to reduce analogous hardware and manufacturing costs, but they experience sensing process, sensing accuracy and stability problems. To address these issues, a synchronous sampling-based direct current estimation (SS-DCE) method is proposed herein with a bistate switching power amplifier. First—considering the reluctance evolution mechanism of AMBs—a coupling relation mathematical model between rotor displacement and voltage/current is presented to acquire the rotor position from the working coil current alone. Then—assuming that the switching current was an approximately triangular signal—a DCE for the rotor position was established based on the estimation inductance of the charging/discharging phase. Finally—to decrease the phase shift caused by the self-sensing filters and position estimation algorithms—the SS-DCE method was introduced to conduct precise position detection for rotors with high velocities. The simulation and experimental results indicated that the proposed method could improve the sensing accuracy and stability. Compared to other AMB position estimation methods, the simple linearity of the SS-DCE method was greatly improved and could be controlled below 4%. Evaluation using frequency response analysis showed that the SS-DCE method had excellent dynamic accuracy and could perform at a higher phase margin, especially for the uprising/landing transient state. Moreover, there was a phase margin of 158° at the natural frequency of 19.26 HZ, and the peak sensitivity in the 50–250 μm range reached 10.7 dB.

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“…However, the geometric shape of artificial joints is complex [9], so it is difficult to plan the laser cladding path. How to design a suitable laser cladding path on such a complex surface and improve the efficiency and quality of coatings preparation has become an urgent problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

Path Planning for Laser Cladding Robot on Artificial Joint Surface Based on Topology Reconstruction

Chen

Liu

2020

Algorithms

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Artificial joint surface coating is a hot issue in the interdisciplinary fields of manufacturing, materials and biomedicine. Due to the complex surface characteristics of artificial joints, there are some problems with efficiency and precision in automatic cladding path planning for coating fabrication. In this study, a path planning method for a laser cladding robot for artificial joints surface was proposed. The key of this method was the topological reconstruction of the artificial joint surface. On the basis of the topological relation, a set of parallel planes were used to intersect the CAD model to generate a set of continuous, directed and equidistant surface transversals on the artificial joint surface. The arch height error method was used to extract robot interpolation points from surface transversal lines according to machining accuracy requirements. The coordinates and normal vectors of interpolation points were used to calculate the position and pose of the robot tool center point (TCP). To ensure that the laser beam was always perpendicular to the artificial joint surface, a novel laser cladding set-up with a robot was designed, of which the joint part clamped by a six-axis robot moved while the laser head was fixed on the workbench. The proposed methodology was validated with the planned path on the surface of an artificial acetabular cup using simulation and experimentation via an industrial NACHI robot. The results indicated that the path planning method based on topological reconstruction was feasible and more efficient than the traditional robot teaching method.

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An Improved Abrasive Flow Processing Method for Complex Geometric Surfaces of Titanium Alloy Artificial Joints

Cited by 19 publications

References 57 publications

An ultrasonic-assisted soft abrasive flow processing method for mold structured surfaces

An ultrasonic-assisted soft abrasive flow processing method for mold structured surfaces

Synchronous Sampling-Based Direct Current Estimation Method for Self-Sensing Active Magnetic Bearings

Path Planning for Laser Cladding Robot on Artificial Joint Surface Based on Topology Reconstruction

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