Advanced Materials Research Vols. 314-316

Abstract: Effect of wood pulp fiber and filler on the mechanical properties and harmful substance of reconstituted tobacco sheet were investigated. Experiments result showed that added lower lignin content pulp reduced phenols produced by reconstituted tobacco sheet combustion. As addition of bleached hardwood kraft pulp and precipitated calcium carbonate (PCC) increased, the amount of phenols release was dropped dramatically, but in order to ensure the normal operation of papermaking mechine, wood pulp and PCC addition should not be more than 20%. If wood pulp addition was above 20%, it had negative effect on the bulk, carbon monoxide and cigarette smoke flavor of reconstituted tobacco sheet; when PCC addition was more than 20%, it has negative effect on the normal operation of papermaking mechine.

Abstract: The means of gathering information of manufacturing supply chain information sharing platform at the present stage are traditional and affect the speed of real-time sharing of information. Therefore, with the new rising technology of Internet of Things (IOT), this thesis establishes information real-time sharing platform architecture of manufacturing industry supply chain based on IOT in order to improve the efficiency of information collection and sharing. This thesis also provides a new solution for the information transparency construction of the supply chain.

Abstract: A new method of shaking moment balancing of force balanced linkages is presented in this paper. The shaking moment balancing is gained based on the angular momentum principle. The method of synthesizing a dyad to balance the shaking moments is given, two kinds of structure types are calculated, all the maximum absolute values of the shaking moments are decreased by more than 75 % and the f1uctuation values of those are reduced by more than 68 %.

Abstract: This paper considers single machine scheduling problem. The objective is to determine sum of earliness and tardiness cost has been minimized. The memetic algorithm is developed to solve this problem. To evaluate performance of memetic algorithm, the solution of propose method is compare with the optimal solution. The results show that the average percentage deviation is less than 10. Here, the computational time required by the MA is significantly less than the time required by the optimal solution method. This result is more emphasized as the problem size is getting larger.

Abstract: This paper practically collects manufacturing supplier dataset in Taiwan. The dataset includes production records, and there are 18 attributes such as production scheduling, scheduled downtime, process, etc. For comparison, decision tree, naive bayesian, and multi-layer perceiving are utilized to compare with the proposed procedure in classification accuracy. The results show that the correct rate of rough set theory is not only superior to decision trees, naive bayesian, and multi-layer perceiving (MLP), and the proposed procedure can be easy to understand and produce fewer rules. In managerial implication, the results can generate predictive model, and classifiable rule which can help manufacturing to find out key related factors in equipment throughput and use the rules generated as a capacity planning assessment.

Abstract: Condition Based Maintenance (CBM) is becoming to be employed by many manufacturing factories. Performance prediction and multi objectives optimization are much needed in current CBM. The research of Intelligent Maintenance System grows rapidly. This paper summarized the key technologies of intelligent maintenance. It reviewed the recent research and developments in data acquisition, feature extraction, health evaluation and reliability prediction. The paper concludes with a brief discussion of possible future trend of intelligent maintenance.

Abstract: The process monitoring and diagnosis in assembly process is important. Multivariate T2 control charts are applied to detect the mean shift and interaction change in the assembly process. However, T2 charts can not identify the root cause of the change. The traditional MTY method for T2 signal decomposition is computationally expensive, especially when the dimension of the variables is high. A new approach based on Bayesian network to identify the significant cause of T2 signals is proposed in this paper. The headlamp bracket case is used to illustrate the overall procedure. And the effectiveness of the proposed approach is evaluated.

Abstract: A method of combining theoretical analysis with numerical simulation is presented to achieve real-time vibration control of steel strip immersed in fluid during continuous hot-dip galvanizing process. Theoretical and numerical methods are employed to investigate inherent properties of strip and immersed strip, respectively. Multivariate quadratic regression is adopted to fit the ratio of natural frequencies. Keeping inherent frequencies far from excitations is taken as optimization objective, based upon field testing results. Real-time vibration control of immersed strip near the air knife box is carried out by varying production parameters. The results reveal that width, thickness, tension and molten zinc have noticeable and highly nonlinear effect on inherent properties of steel strip. Axial speed of strip is negligible in calculations of natural frequencies. Wind load of air knife moving relative to strip is the principal source of vibration. The approach of combining theory with numerical computation can meet the requirement of real-time vibration control of alloy strip.

Abstract: Honing is an abrasive machining process that produces a precision surface on a workpiece and widely used in manufacturing engine cylinder walls, compressor bodies, valve bodies, bearings, hydraulic cylinders and so on. Investigation and acquisition of the honing force could be used to investigate the honing mechanism and optimize the processing parameter. But it is difficult to measure the force during the honing process because of the limited honing structure. This paper presents a measuring system for honing force. It introduces the measure theory and the measure system. The whole measuring system is validated by experiment.

Abstract: An adequate measurement metrology to nondestructively verify the integrity of dielectric gap-fill in a deep trench (DT) capacitor of deep-submicron DRAM product was proposed. Because of the geometric structure in the DT capacitor, the vertical cylindrical electrode isolator approximately provides a parasitic NMOSFET. Through the electrical measurement, people can analyze these drain-to-source electrical characteristics. Some of most valuable device parameters, threshold voltage (Vt) and mobility (un), correlate to the interface integrity and the surface roughness between silicon substrate and gap-fill oxide (or liner oxide). In other words, as these values are obtained, the degradation level of this interface or gap-fill quality can be clarified. Indirectly, the charge storage quality of this capacitor, avoiding the leakage path, is able to be improved with the process modification.