The polishing of molds and dies using a compliance tool holder mechanism

Liu, C.H.; Chen, C.-C.A.; Huang, Jian-Sheng

doi:10.1016/j.jmatprotec.2004.08.021

Cited by 37 publications

(22 citation statements)

References 10 publications

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“…The principle of its control system is shown in Figure 1.1.3. Common energy storage elements and corresponding energy equations are shown in Table In 2002, Liu of Tamkang University in Taiwan put forward a compliant tool rack for mold polishing, which uses linear springs to enhance the compliance of equipment, that is, to change the contact flexibility before reducing the surface roughness of the mold [6]. With this as a reference, this design adopts a buffer system composed of springs and dampers, in which springs and mass blocks are energy storage elements, springs store kinetic energy, and mass blocks store potential energy.…”

Section: Feasibility Analysismentioning

confidence: 99%

End Effector Control System of 6R Manipulator Based on Fuzzy PID

Xu¹

2022

HSET

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The front three axes of a traditional 6R manipulator move and the back three axes rotate. Given that it is directly connected with the end effector to work and there are some factors such as motor weight, inertia, and material, the end of the manipulator is designed as a system with springs and dampers, so as to improve the stability of the manipulator, reduce errors, and improve production efficiency. Conventional PID control often determines the proportional, integral, and differential effects through simulation, which can not well control the 6R manipulator system in a nonlinear and time-variant state. In order to control the system better, in addition to designing a fuzzy PID control system by making relevant membership functions and fuzzy rules, this paper simulates the end effector of the 6R manipulator by Simulink. The simulation results show that compared with conventional PID, fuzzy PID has better indexes in rapidity, stability, accuracy, and adaptability. The end effector control system of the 6R manipulator based on fuzzy PID is more stable and accurate than the ordinary 6R manipulator.

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Section: Feasibility Analysismentioning

confidence: 99%

End Effector Control System of 6R Manipulator Based on Fuzzy PID

Xu¹

2022

HSET

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“…Some researchers present compliant tools without actuators, namely, passive compliant tools, using various passive mechanisms, such as spring 7 and elastic ball-type wheel. 8 The contact force applied on the workpiece is maintained by the compliant tool itself.…”

Section: Introductionmentioning

confidence: 99%

Development of a real-time force-controlled compliant polishing tool system with online tuning neural proportional–integral–derivative controller

Zhou

Zhang

Cheng

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents a real-time force-controlled pneumatic compliant polishing tool with self-supplied abrasives making the abrasives added to the contact area between the polishing pad and workpiece, which can lead to good polishing performance. And a force–position decoupling pneumatic servo system for polishing force control is presented to solve the problem of force–position coupling in the traditional polishing process. However, it is difficult to realize satisfactory control performance due to the problems of time variance, compliance, hysteresis and nonlinearity in pneumatic servo system. This article proposes an online tuning neural proportional–integral–derivative controller to improve force control performance. The real-time polishing force control results of pneumatic servo control system are investigated by adopting proposed neural proportional–integral–derivative control strategies with data acquisition card and RTW toolbox in MATLAB/Simulink. The real-time experimental results of polishing force control indicate that the excellent control performance can be achieved by the proposed neural proportional–integral–derivative controller no matter the reference force is constant or varied. Compared with those by traditional proportional–integral–derivative controller, the duration for stabilizing the polishing force is shorter and the error between the output force and the reference is smaller by the proposed neural proportional–integral–derivative controller.

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“…In addition, the Taguchi method and grey relation analysis method are often used for solving polishing parameters optimization questions, but which are fit for the given experiment conditions. Liu et al (2005) carried out polishing experiments based on Taguchi's method in order to determine the effects of main process factors such as horizontal feed rate, spring constant, rotation speed of the hand grinder and abrasive particle size, etc. At present, there is no general and mature process planning scheme used for large mold freeform polishing.…”

Section: Introductionmentioning

confidence: 99%

Development and Polishing Process of a Mobile Robot Finishing Large Mold Surface

Wang

Zhang

Zhao

et al. 2014

Machining Science and Technology

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2 A novel self-determination polishing robot finishing large mold free-form surface is developed, and the finishing process method is researched. Contrary to traditional approaches, our premise is that a large mold surface can be polished by using a small robot. This robot system is mainly composed of a polishing robot part, a computer system and a visual positioning system. A type of robot with four uniform distribution wheels was designed, which has two driving wheels and two driven wheels. Active compliant control of the polishing tool was provided by a pneumatic servo system, and a new special compliant abrasive tool was proposed on the basis of robot characteristics. The process planning steps consisted of subdividing the free-form surface, choosing an abrasive tool, planning the polishing path and optimizing machining parameters. Based on the orthogonal experiment and the grey relational analysis method, the optimal parameter combination was obtained for polishing force, tool speed and feed rate. Aiming to polishing times, the surface roughness method and polishing efficiency method were studied in detail. The polishing experiments were carried out in the robot using process parameters obtained by the efficiency method. These research results provided significant theory foundation and experimental data for a mobile robot planning polishing to realize intelligible process parameter selection.

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The polishing of molds and dies using a compliance tool holder mechanism

Cited by 37 publications

References 10 publications

End Effector Control System of 6R Manipulator Based on Fuzzy PID

End Effector Control System of 6R Manipulator Based on Fuzzy PID

Development of a real-time force-controlled compliant polishing tool system with online tuning neural proportional–integral–derivative controller

Development and Polishing Process of a Mobile Robot Finishing Large Mold Surface

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