The purpose of this study was to solve the problem of the press sealer mal-operation, particularly Feed & Reverse Roller (FRR) miss feeding (skipping, redundant feeding or bundle feeding) and thereupon, enhance the conventional low-speed (3,000 papers...
The purpose of this study was to solve the problem of the press sealer mal-operation, particularly Feed & Reverse Roller (FRR) miss feeding (skipping, redundant feeding or bundle feeding) and thereupon, enhance the conventional low-speed (3,000 papers/h) FRR system into a high-speed (12,000 ones per hour) one. In addition, in order to help localize core parts of FRR and save the cost, the researcher selected the local parts developed and designed to be free from quality problems to implement the high-speed FRR system.For this purpose, the researcher divided the factors affecting the FRR feeding speed into control and noise ones and thereby, set the speed level according to the FRR paper-feeding capacity formula and operational linear formula and then, conducted a preliminary test to determine the uppermost two levels of normal operation. And then, the factors confirmed were subject to the Takuchi test plan model using the Cartesian arrangement table: liner average analysis and S/N ratio analysis.Thus, the final factors determined were subject again to S/N ratio analysis only to confirm the tolerance between actual measurements and predicted output values within 5%. On the other hand, the final factors were substituted into FRR paper-feeding capacity formula and operational linear formula to draw the operational line. As a result, it was proven that the levels of the final factors were within the feeding capacity.In addition, what was encouraging was the result of the test that the input torque limit applied to the conventional low-speed FRR system could be replaced with a local counterpart. Namely, the new FRR system would be efficient enough in both terms of cost and capacity to compete with foreign brands.After all, the reliability design using the Takuchi text plan model was proven to save testing frequency and time for development of a new product and thus, improve the efficiency of research and find an optimal design condition. In particular, if it is applied to a test comparing factors, it will be very useful in determining their comparative advantages and effects. Hence, the researcher is planning to vary it for future studies depending on their purposes.