• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1110-1113
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• 1995

This study presents the new method which can transfer the expert's skill to deburring robot through neural network. The expert's skill is expressed as associationmapping between the characteristics of the burr and human expert's action. Under the fundamental idea that the state of the deburring processcan be extracted via the visual sense of the human,we employ vision system for the perception and identification of the changing burr. Form the demonstration of human experts, force data are measured. Finally the characteristics of the burr and coressponding force are associated by the neural network which is trained through many demonstrations. The proposed method is verified in the deburring process of welding burr.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.12 no.5
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• pp.116-121
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• 2013

A high speed deburring machine was developed based on the analysis of magnetic contact force, forced vibration, stiffness and deformation of the structure. After 3 dimensional CATIA modelling, the stiffness and the deformation properties of the deburring machine in static and dynamic condition using finite element method were analyzed. Both static and dynamic simulation results showed that designed high speed deburring machine was well satisfied the stability properties at the operating condition. we have performance test program for the real system to evaluate the simulation results.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.10a
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• pp.329-333
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• 2003

In micro hole punching process the burr occurs inevitably, but the burr must be minimized in order to improve the quality and accuracy of the product. In this study, magnetic field assisted polishing technique is applied to remove the burr which exists in nozzles for ink-jet printer head and proved to be a feasible for deburring by experiment. The deburring characteristics of sheet metals was investigated changing with polishing time. After the deburring, the burr size has remarkably reduced and roundness of the hole also has improved.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.685-688
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• 1996

In debureing process. Human experts who have long experenc in performing deburring tasks can manipulate tools efficiently and adapt the tool motions according to the state of the process based on their skills. However, human experts have difficulties in describing linguistically their control schemes and strategies because teey don't aware the detailed process in interpreting wensory information and adapting tool motion. Therefore, it is important to develop a mean of understanding the skills and acquiring the control schemes so that the robot can perform the same skillful motion as the human experts. In this paper, an expert's skill model is developed so that it can be transferred effectively from the expertt to the robot. Skills are represented by a mapping which is generated by using a neural network. Expert's skill shows that the robot is able to associate a correct control strategy with process characteristics which is acquired from a vision image in a similar manner to a human expert's

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.04a
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• pp.155-160
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• 2003

It is very important to make an intensive control of burr and surface roughness in the actuator arm of HDD for personal computer. There are two finishing techniques for actuator arm mechanical and chemical method. Centrifugal barrelling and magnetic deburring are mechanical methods, and electrolysis finish is a chemical method. Centrifugal barrelling and magnetic deburring are widely used due to the excellence in convenience and mass production. In this study, characteristics of surface roughness and deburring effect in magnetic deburring and centrifugal barrelling are investigated, and their performance of finishing is compared.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.4
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• pp.109-117
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• 2016

For efficient deburring of burrs that form inside mechanical parts after drilling, new special deburring tool was developed specifically for the burr found at intersecting holes. In this paper, the process for finding ideal cutting conditions has been carried out to identify the efficient performance of deburring using a new tool. The burrs at the entrance and exit surface were analyzed for efficient removal. The surface roughness after deburring was also reviewed for better performance. In addition, the influence of the feed rate on deburring quality was analyzed for improved productivity. Through this process, a new deburring tool can be applied effectively to remove burrs formed at intersecting holes.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.553-558
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• 1994

In this paper, we present a new approach for the automation of deburring process. An algorithm for teaching skills of a human expert to a robot manipulator is developed. This approach makes use of TSK fuzzy model that can express a highly nonlinear functional relation with small number of rules. Burr features such as height, width, area, cutting area are extracted from image processing by use of the vision system. Cutting depth, repeative number and normal cutting force are chosen as control signals representing actions of the human expert. It is verified that our processed fuzzy model can accurately express the skills of human experts for the deburring process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.229-230
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• 2006

Shape memory alloy, Nitinol is used for medical stent, artificial human joint, antenna of artificial satellite, fire door, temperature sensor...etc. It is important for some nitinol product high precision and clean surface. In this study, we experiment about deburring of edge and surface of nitinol work piece with micro electrolytic-deburring. We made an observation in case electric currents are $1A{\sim}4A$, above 5A and each machining times.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.3
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• pp.394-400
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• 2012

Due to the increasing demand for carious methodologies, the quality improvement of products were introduced. A brush, the most frequently used type of grinding process, is one of the deburring. In order to produce consistent burr shape, various machining conditions have been combined and applied to disk grinding process. By tool dynamometer, acoustic emission sensor and acceleration sensor depend on changes in processing conditions(depth of engagement, cutting speed, workpiece position, workpiece orientation, cutting time) signals were obtained for brush deburring grinding system. Root mean square obtained by processing the signal processing conditions by analyzing the characteristics of deburring is to derive the optimum conditions.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.5 s.98
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• pp.186-193
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• 1999

Sensor feedback for process control is one of the essential elements is an automated deburring procedure. This paper presents the implementation of acoustic emission (AE), which has been developed as a feedback sensing technique for precision (mechanical) deburring, in a precision laser deburring process. AE signals were sampled for laser machining/deburring under various experimental conditions and analyzed using several signal-processing methods including AErms and spectral analysis. The results, such as the sensitivity of AE signals for different laser cutting depths, edge detection capability and the frequency analysis show a clear correlation between physical process parameters and the AE signals. A subsequent control strategy for deburring automation is also briefly discussed.