As a result of this study, the performance evaluation of the development of laminated paper automatic adhesive processing machine is considered and concluded as follows. The cardboard processing unit for automatic folding and gluing designed a feeder for supplying cardboard, and the prototype production was compared with the existing production and the developed product, and the production rate was improved from 31,100 to 46,500 pieces per day, and the production speed was increased from 68 to 98. The defect rate was solved by solving the folding problem by comparing the existing production and the developed product, and the standard of the defect rate of the product was based on the folding, and the X1-X4 average defect rate was confirmed to be 0,000607%.

In this research, a new structure of an asymmetric piston dedicated machining center is developed. By applying 2 linear motors in this machine, the slide unit structure could be simplified by comparing to the ball screw method, resulting in easier maintenance of the machine and enabling simultaneous machining in 2 axes and high-speed precision machining. In addition, a dedicated HMI for the asymmetric piston is developed to support efficient operation by workers, allowing them to verify product quality and take necessary actions. It is confirmed that by fully utilizing control libraries and productive programming languages, immediate response to future demands could be achieved. Through speed control loop performance testing, it is confirmed that applying feedforward function could improve the response speed, control accuracy, and stability of the speed control loop. The application of polynomial interpolation and Newton interpolation in the actual machining of asymmetric pistons confirmed the achievement of dynamic machining precision at high speeds. The developed machine and HMI are expected to contribute significantly to the efficiency, productivity, and improvement of product quality in the machining of asymmetric pistons.

In the process of cutting large aircraft parts, the tool may be abnormally worn or damaged due to various factors such as mechanical vibration, disturbances such as chips, and physical properties of the workpiece, which may result in deterioration of the surface quality of the workpiece. Because workpieces used for large aircrafts parts are expensive and require strict processing quality, a maintenance plan is required to minimize the deterioration of the workpiece quality that can be caused by unexpected abnormalities of the tool and take maintenance measures at an earlier stage that does not adversely affect the machining. In this paper, we propose a method to indirectly monitor the tool condition that can affect the machining quality of large aircraft parts through real-time monitoring of the current signal applied to the spindle motor during machining by comparing whether the monitored current shows an abnormal pattern during actual machining by using this as a reference pattern. First, 30 types of tools are used for machining large aircraft parts, and three tools with relatively frequent breakages among these tools were selected as monitoring targets by reflecting the opinions of processing experts in the field. Second, when creating the CNC machining program, the M code, which is a CNC auxiliary function, is inserted at the starting and ending positions of the tool to be monitored using the editing tool, so that monitoring start and end times can be notified. Third, the monitoring program was run with the M code signal notified from the CNC controller by using the DAQ (Data Acquisition) device, and the machine learning algorithms for detecting abnormality of the current signal received in real time could be used to determine whether there was an abnormality. Fourth, through the implementation of the prototype system, the feasibility of the method proposed in this paper was shown and verified through an actual example.

This technology is based on the processing skills by the automatic high speed burner processors to improve the overall productivity and customer satisfactions. The following conclusions could be gained from this research. A burner for processing stone plate was measured to obtain the average 23.8 m/s. Non-slip friction coefficient of the burner after processing was measured to obtain a mean value of 53.2 BPN. Production rate for stone items was measured by the time of the burner and the result passed through the brush was 26.94 m/s on average.

목 적: 본 연구에서는 CA(Cellulose Acetate; CA)안경테 전용 가공장비의 40,000 rpm급 고속 주축시스템에 대하여 구조설계 단계에서 안정성을 검토하였다. 방 법: 안경테 전용 주축시스템의 베어링 윤활과 예압구조 선정 및 주축계의 정/동/열적 특성 분석을 통하여 고유진동수, 최대변형, 열변위를 예측하였다. 결 과: 안경테 가공장비 주축의 윤활시스템은 최소미량급유방식인 오일-에어 방식을 채택하였으며 정동적분석 결과 안정성이 확보되었으나, 열변위량은 최대 0.135 mm로 고속 회전 시 주축 발란싱과 성능에 문제가 발생 할 것으로 예측되었다. 결 론: CA안경테 전용 가공장비의 40,000 rpm급 고속 주축시스템을 설계 단계에서부터 윤활 및 예압구조를 선정하였으며, 정동적분석을 통하여 구조안정성이 우수함을 예측하였다. 그러나 회전에 따른 열상승 및 열적변형에 취약하여 이에 대한 대책이 필요할 것으로 나타났다.